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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/essd-10-1-2018</article-id><title-group><article-title>Global and regional phosphorus budgets in agricultural systems and their implications for <?xmltex \hack{\break}?>phosphorus-use efficiency</article-title>
      </title-group><?xmltex \runningtitle{Global and regional phosphorus budgets}?><?xmltex \runningauthor{F.~Lun et~al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lun</surname><given-names>Fei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Liu</surname><given-names>Junguo</given-names></name>
          <email>liujg@sustc.edu.cn</email><email>junguo.liu@gmail.com</email>
        <ext-link>https://orcid.org/0000-0002-5745-6311</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Ciais</surname><given-names>Philippe</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8560-4943</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Nesme</surname><given-names>Thomas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Chang</surname><given-names>Jinfeng</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4463-7778</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Wang</surname><given-names>Rong</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1962-0165</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Goll</surname><given-names>Daniel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9246-9671</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Sardans</surname><given-names>Jordi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Peñuelas</surname><given-names>Josep</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7215-0150</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Obersteiner</surname><given-names>Michael</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6981-2769</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>School of Environmental Science and Engineering, South University of Science and Technology <?xmltex \hack{\break}?>of China, Shenzhen 518055, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>IPSL – LSCE, CEA CNRS UVSQ, Centre d'Etudes Orme des Merisiers, 91191 Gif-sur-Yvette, France</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Bordeaux Sciences Agro, Université de Bordeaux, UMR 1391 ISPA, CS 40201, <?xmltex \hack{\break}?>33175 Gradignan CEDEX, France</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>CREAF, Cerdanyola del Vallès 08193, Catalonia, Spain</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>CSIC, Global Ecology Unit CREAF-CSIC-UAB, Cerdanyola del Vallès 08193, Catalonia, Spain</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Junguo Liu (liujg@sustc.edu.cn, junguo.liu@gmail.com)</corresp></author-notes><pub-date><day>8</day><month>January</month><year>2018</year></pub-date>
      
      <volume>10</volume>
      <issue>1</issue>
      <fpage>1</fpage><lpage>18</lpage>
      <history>
        <date date-type="received"><day>16</day><month>May</month><year>2017</year></date>
           <date date-type="accepted"><day>21</day><month>November</month><year>2017</year></date>
           <date date-type="rev-recd"><day>31</day><month>October</month><year>2017</year></date>
           <date date-type="rev-request"><day>6</day><month>June</month><year>2017</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://essd.copernicus.org/articles/.html">This article is available from https://essd.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/.pdf</self-uri>
      <abstract>
    <p id="d1e208">The application of phosphorus (P) fertilizer to agricultural soils increased
by 3.2 % annually from 2002 to 2010. We quantified in detail the P inputs
and outputs of cropland and pasture and the P fluxes through human and
livestock consumers of agricultural products on global, regional, and
national scales from 2002 to 2010. Globally, half of the total P inputs into
agricultural systems accumulated in agricultural soils during this period,
with the rest lost to bodies of water through complex flows. Global P
accumulation in agricultural soil increased from 2002 to 2010 despite
decreases in 2008 and 2009, and the P accumulation occurred primarily in
cropland. Despite the global increase in soil P, 32 % of the world's
cropland and 43 % of the pasture had soil P deficits. Increasing soil P
deficits were found for African cropland vs. increasing P accumulation in
eastern Asia. European and North American pasture had a soil P deficit
because the continuous removal of biomass P by grazing exceeded P inputs.
International trade played a significant role in P redistribution among
countries through the flows of P in fertilizer and food among countries.
Based on country-scale budgets and trends we propose policy options to
potentially mitigate regional P imbalances in agricultural soils,
particularly by optimizing the use of phosphate fertilizer and the recycling of
waste P. The trend of the increasing consumption of livestock products will
require more P inputs to the agricultural system, implying a low P-use
efficiency and aggravating P-stock scarcity in the future. The global and
regional phosphorus budgets and their PUEs in agricultural systems are
publicly available at <uri>https://doi.pangaea.de/10.1594/PANGAEA.875296</uri>.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e221">Population increases and dietary changes require higher food production, which increases global demand for fertilizers (Grote et al.,
2005; Foley et al., 2011). Phosphorus (P) is an essential element for all organisms, and a lack of P limits growth. Fertilizer P
enhances agricultural production, but P is also fixed in soils and can accumulate. In countries with high fertilizer use, much P is
lost to leaching and run-off, leading to the eutrophication of both inland and coastal waters (Carpenter et al., 1998; MacDonald et al.,
2011).</p>
      <p id="d1e224">To supply the growing need for P in fertilizer, the mining of phosphate rock has quadrupled in the past half century, increasing from
46 <inline-formula><mml:math id="M1" display="inline"><mml:mi mathvariant="normal">Mt</mml:mi></mml:math></inline-formula> in 1961 to 198 <inline-formula><mml:math id="M2" display="inline"><mml:mi mathvariant="normal">Mt</mml:mi></mml:math></inline-formula> in 2011 (Scholz et al., 2013). Despite some short-term fluctuations in the price of phosphate
rock, the global production of fertilizer P has been steadily increasing at a rate of 3 to 4 % annually during the half century
before 2011 and is projected to increase by 50 to 100 % by 2050 (Cordell et al., 2009, 2012). Extractable phosphate rock is
a non-renewable resource, and significant depletion of the resource is projected by the end of this century if the current intensive
use continues, possibly leading to resource shortages (Cordell et al., 2009; van Vuuren et al., 2010; Peñuelas et al., 2013).</p>
      <p id="d1e241">The mining of P and its application as fertilizer in cultivated land is a major anthropogenic perturbation of the natural
biogeochemical P cycle (Carpenter and Bennett, 2011; Elser and Bennett, 2011; Steffen et al., 2015). The negative impacts of this
perturbation on the natural environment depend on how much P is lost from regions with intensive fertilizer use (Smil, 2000; Bennett
et al., 2001).</p>
      <p id="d1e244">P application differs significantly between countries and crop types (Grote et al., 2005), and previous researchers have attempted to
estimate the P flows in agricultural systems in Europe (Ott &amp; Rechberger, 2012), the United States (Suh &amp; Yee, 2011), China (Ma
et al., 2011), France (Senthilkumar et al., 2012), Australia (Cordell et al., 2013), and the world (Smil, 2000; Liu et al., 2008;
MacDonald et al., 2011; Schipanski &amp; Bennett, 2012). International trade and regional agricultural policies affect P budgets by
increasing or decreasing the gap between P inputs and P outputs in agricultural land (Grote et al., 2005).  Previous research mainly
focused on cropland, and P fluxes in pasture and livestock production systems have also received more and more attention recently,
especially due to diet change. The differences in methodologies, system boundaries, and data sources have made it difficult to assess
the differences in the phosphorus-use efficiencies (PUEs) among agricultural sectors and to extrapolate regional findings to the global
scale.</p>
      <p id="d1e248">To mitigate these problems, we (1) compiled a detailed and harmonized dataset of P fluxes in agriculture for countries around the
world, including detailed analysis of input and output fluxes for cropland, managed grassland (hereafter, pasture), livestock, and
human consumers of agricultural products; (2) characterized P budgets and P-use efficiencies in those different subsystems; and (3)
examined how the international trade of phosphate fertilizer and agricultural commodities influences regional P fluxes. We performed this
analysis on the scale of countries, regions, and the world; wherever possible, we distinguished different crop types. The study period
was from 2002 to 2010, allowing us to study temporal trends.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e253">Scheme of the P pools and fluxes used to diagnose global P budgets for the agricultural sector. The agricultural sector (or
system) in the grey box includes cropland and pasture soils, livestock, human consumers of livestock and crop products, and users of
phosphate-derived products.  National and regional P budgets are calculated using the same scheme, but including in addition exports
and imports of P embedded in traded crop and livestock products and fertilizers.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f01.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e264">Annual P flows in the global agriculture system from 2002 to 2010.  Values are Tg P <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The notation <inline-formula><mml:math id="M4" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>
denotes the average change of P in pasture and cropland soils, respectively. By convention, a positive value means accumulation. Note
that livestock and human changes of P are assumed to be zero.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f02.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
      <p id="d1e300">In this study, we obtained data for 224 countries (Table S1 in the Supplement). We defined the agriculture system as cropland and
pasture ecosystems plus human and livestock consumers of agricultural production and of other products containing P (Fig. 1). External
P inputs to the agriculture system came from mined phosphate rock and atmospheric deposition. Several processes cause P losses from the
system into the external environment (here, defined as non-agricultural land and bodies of water). Figure 1 presents the fluxes of P
into and out of the agriculture system on a global scale, including internal fluxes between ecosystems and consumers. We quantified
these fluxes in the present study based on a mass-balance approach (Cordell et al., 2012). We defined the phosphorus-use efficiency
(PUE) of the agricultural system and of its subsystems as the ratio of the total P harvested in economic outputs (e.g. crops, meat,
milk, and eggs) to the total P input. International trade in fertilizer and food is discussed separately in Sect. 2.3. The data sources
and an overview of the mass-balance equations are presented in the rest of this section; details and equations are presented in the
Supplement.</p>
<sec id="Ch1.S2.SS1">
  <title>P flows into and out of the agricultural system</title>
      <p id="d1e308">Inputs into the agricultural system, which are within the grey box in Fig. 1, are from mined phosphate rocks and atmospheric
deposition. We did not include P from the in situ weathering of soil particles because the rate of this process is insignificant compared
with the magnitude of other inputs (Liu et al., 2008). Outputs included P emission into the atmosphere from fires and P loss to
uncultivated land or bodies of water.</p>
<sec id="Ch1.S2.SS1.SSS1">
  <title>P inputs</title>
      <p id="d1e316">Data on agricultural inputs of phosphate P in fertilizers were collected from the International Fertilizer Industry Association
(<uri>http://www.fertilizer.org</uri>) and divided between cropland and pasture uses based on information from FAO (2002) and the FAOSTAT
database (<uri xlink:href="http://www.fao.org/faostat/en/{#}data">http://www.fao.org/faostat/en/#data</uri>). A small fraction (8 %) of P from mined phosphate rock is used to produce
animal feed additives. Apart from fertilizer and animal feed additives, the rest of the mined P is used to produce detergents and other
products directly consumed by humans (Ringeval et al., 2014). Atmospheric P deposition in cropland and pasture areas was calculated
separately in each country using gridded global P-deposition maps obtained using the LMDz-INCA aerosol chemistry transport model of
Wang et al. (2014, 2015) and agricultural land-use maps. Details are provided in the Supplement (Table S2).</p>
</sec>
<sec id="Ch1.S2.SS1.SSS2">
  <title>P outputs</title>
      <p id="d1e331">P emissions from agricultural fires were obtained from the gridded dataset of Wang et al. (2015) and cover the burning of crop residues
in the field, by households, and for the production of bioenergy from crop biomass. Leaching from cropland and pasture soils was
assumed to be a constant fraction (12.5 %) of P inputs for each agricultural land-use type (Bouwman et al., 2013).  P outputs from
non-recycled livestock and human manure were calculated based on the mass balance. Note that erosion-induced losses of P are important
in many agricultural regions (Quinton et al., 2010), but were not considered in this study because we lack data on the re-deposition of
P in eroded soil material from agricultural soils. In future studies, it will be important to quantify this source of P, particularly
in agricultural areas that receive large annual inputs of sediment (e.g. in river floodplains and sites on steep terrain that
experience significant erosion farther up the slope followed by deposition).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS2">
  <title>P flows within the agricultural system</title>
<sec id="Ch1.S2.SS2.SSS1">
  <title>P in harvested crop biomass and crop residues</title>
      <p id="d1e346">The flux of P in harvested crop biomass was estimated from yield data (FAOSTAT) using crop-specific P concentrations after grouping
178 different crops into 13 crop types (COMIFER, 2007; USDA-NRCS, 2009; Waller, 2010; Table S2). P in harvested crop biomass was
partitioned into crops (for human and livestock consumption) and crop residues (Fig. 1). We estimated the P fluxes of crop residues
from FAOSTAT data and from Liu et al. (2008) to account for residue that is recycled in the field (50 %), transformed into
livestock feed (25 %), and burned or used by other human activities (25 %).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <title>P in grazed biomass</title>
      <p id="d1e355">The P removed from pasture by livestock grazing was estimated by combining forage grass consumption data with the P concentrations in
grass biomass (Antikainen et al., 2005; COMIFER, 2007; USDA-NRCS, 2009; Waller, 2010). Gridded data on grass biomass consumption by
livestock were obtained by combining the global livestock production systems dataset of Herrero et al. (2013) with pasture net primary
productivity simulated by the ORCHIDEE-GM global pasture model (Chang et al., 2013, 2015). We chose the ORCHIDEE-GM model for this
analysis because it is able to separate the intake of grazed vs. cut forage grass.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <title>P in animal feed products</title>
      <p id="d1e364">Animal feed products used as complementary diet (“feed additives”) represent direct inputs to the livestock subsystem (Fig. 1). This
flux was deduced from the mass balance of the known input and output fluxes for the livestock P pool, but did not account for long-term
changes in P storage in that pool. See the Supplement for more details.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS4">
  <title>P embedded in livestock products</title>
      <p id="d1e373">This flux of P leaving the livestock subsystem and entering the human subsystem (Fig. 1) through the harvesting of products was
calculated by multiplying the FAOSTAT production data for meat, eggs, and milk by the product-specific P concentrations reported by
Grote et al. (2005).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS5">
  <title>P in livestock manure</title>
      <p id="d1e383">We calculated the manure P production based on FAOSTAT data about N in livestock manure and P : N values for each types of livestock
manure (MWPS-18, 1985; OECD Secretariat, 1991; Levington Agriculture, 1997; Sheldrick et al., 2003; ASAE, 2005; see Table S3). Once produced, manure P is either applied to cropland, left in the pasture, or lost to the environment as waste (Fig. 1),
following the same partitioning as that for N in the manure from FAOSTAT.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS6">
  <title>P in human sewage sludge</title>
      <p id="d1e392">We assumed that the P output from humans equaled the inputs from non-fertilizer P-ore products and the consumed crop and livestock
products (Fig. 1) and used this to calculate the total P production in human excreta.  P in human sewage sludge was estimated using
population data and values of per capita production of P in excreta (Smil, 2000; Cordell et al., 2009). Following the method of Liu
et al. (2008), we assumed that 30 % of the excreta P from urban populations and 70 % of P from rural populations were returned
to cropland, either directly or after the treatment of sewage sludge, with the remaining P assumed to be lost to the environment (e.g. in
landfills or bodies of water).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS3">
  <title>P flows from international trade</title>
      <p id="d1e402">We compiled the flows of P in international trade both from the P embodied in crops and livestock products and in P embodied in
fertilizers exchanged between countries. For agricultural commodities, we used FAOSTAT data that provided a matrix of commodities
exchanged between countries and converted this data into P fluxes using commodity-specific P content data. For P fertilizers, we used
the International Fertilizer Industry Association trade statistics. By convention, a positive trade balance for a country means that it
is a net P importer. In addition, P fluxes associated with the international trade of fertilizers, food, feed, and fibre commodities
can be associated with local cropland PUE and pasture PUE. We defined the dependency on chemical fertilizer imports (<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>fer</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>)
as the ratio of the P in imported chemical fertilizers (<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>fer-imp</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) to the P in all chemical fertilizers consumed by
a country (<inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>fer-con</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>). Similarly, we defined the dependency on food imports (<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>food</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) as the ratio of P in food
imports (<inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mtext>food-imp</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) to the P in all food consumed by a country. Furthermore, we defined <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>total</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> as the ratio of
the total P imported (food and fertilizers) to the total P consumed as fertilizers and food in a country.  The equations for these
calculations are presented in Sects. 2 to 6 of the Supplement.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Annual P budgets of cropland and pasture soils</title>
      <p id="d1e479">Annual changes in P stocks in cropland and pasture soils (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula>) were estimated as the difference between inputs and outputs
(i.e. the budget); <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> indicates net P accumulation in the soil, <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> indicates a net deficit, and <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>
represents no net change. <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula> calculated in this manner does not reflect the legacy effects from previous management and
fertilization practices (Ringeval et al., 2014), but it is a useful metric to identify regions with a P surplus or deficit at any point
in time and to compare countries.</p>
      <p id="d1e544">Annual soil <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula> values were calculated as the differences between annual inputs and outputs. Details and the equations are
presented in Sect. 2 of the Supplement.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Cumulative P budgets of cropland and pasture soils</title>
      <p id="d1e563">Following the method of Sattari et al. (2012), we separated the P inputs to soils (except inputs in seeds) into two pools: (1) a stable
P pool, which represents P that is unavailable to plants on an annual basis, such as the P absorbed onto iron and aluminum oxides
(20 % of total P inputs, including fertilizers, manure, sludge, and deposition); and (2) a labile P pool that is assumed to be
available for plant uptake (80 % of total P inputs). P can be exchanged between the two pools. If inputs of labile P are larger
than P removal in crop biomass, we assumed that the surplus labile P gets transferred into the stable P pool at the end of the year. In
the opposite case, in which inputs of labile P are lower than P removal, plants can take up P from the stable pool (Sattari et al.,
2012). This approach assumes that the P loss by run-off and leaching into bodies of water is from the labile P pool only and that P
stored in seeds does not belong to either the stable pool or the labile pool. This approach is simplistic, as more research will be
required to allow for more realistic modelling of these two pools and the flows they are involved in.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Phosphorus-use efficiency</title>
      <p id="d1e572">We defined PUE as the ratio of P in the harvested economic outputs to P in the inputs for the entire agricultural system (the grey area
in Fig. 1) or for a given subsystem. PUE indicates how much of the input P is transferred into value-added products. If PUE <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, the
input of P is insufficient to sustain the output (harvested P), suggesting a net reduction of the system's P reservoir. For cropland
PUE, we defined P in harvested crops as the economic P output of the crops and the sum of phosphate fertilizer, livestock manure,
human sewage sludge, and P from atmospheric deposition as the P input. For pasture PUE, harvested P refers to the P consumed by grazing
animals and the sum of phosphate fertilizer, livestock manure going to the pasture, and P from atmospheric deposition as the total
inputs. For the livestock subsystem, the harvested P output represents the P in livestock products (meat, eggs, and milk), whereas the
inputs represent the input into livestock. We also defined the PUE of human food (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ε</mml:mi><mml:mtext>food</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) as the ratio of the P
content in human excreta to the total P input in human food; this represents an inconsistency with our previous definitions, since
human excreta currently have no economic value.  The equations for all the PUE terms are provided in Sect. 5 of the Supplement.</p>
</sec>
<sec id="Ch1.S2.SS7">
  <title>Uncertainty estimates</title>
      <p id="d1e602">Uncertainties in each flux originate both from the material flux data and from data on the P concentration in each material considered
by our analysis, including crop products, crop residues, livestock, meat, eggs, milk, livestock, and human excreta. Many of the global
statistical datasets used in our analysis are not replicated, and no alternative dataset is available for establishing a range of
uncertainty values for the different P fluxes. National datasets have usually not been formally analysed to determine their
uncertainty, and many of the sources of uncertainty are difficult to trace (e.g. clerical errors, differences between countries in
product definitions). Thus, we have only addressed the effect of uncertainties in the P concentration by means of Monte Carlo
simulations (3000 iterations) using the range of P concentrations reported in the literature (Table S5).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Global agricultural P flows and their trends</title>
<sec id="Ch1.S3.SS1.SSS1">
  <title>Global P fluxes in and out of the agricultural system</title>
      <p id="d1e622">Figure 2 summarizes the annual average of global P flows for the period from 2002 to 2010. P from phosphate fertilizers was the largest
single input flux, representing 93 % of the 21.3 <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> of global input, and most of it (82.4 %) goes to
cropland and pasture. Outputs from the agriculture system amounted to 12.5 <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which combines outputs from leaching
and run-off into bodies of water (5.4), non-recycled manure waste (4.3), and sewage (2.2), bioenergy (0.4), and burned crop residues
(0.2). The global annual P balance of agricultural systems was therefore positive during the entire study period, with
8.8 <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> accumulating in soil, of which 6.6 <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> accumulated in cropland and
2.2 <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in pasture. On average, 41 % of the P input accumulated in soils from 2002 to 2010.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p id="d1e727">Time series in the four largest global annual P flows within, in, and out of the agriculture system from 2002 to 2010.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f03.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e738">Map of global net soil P budgets (positive values, increase;  negative values, decrease) for <bold>(a)</bold> cropland and
<bold>(b)</bold> pasture.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f04.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e756">P flows embedded in different crop products, including the fraction of these flows entering into international trade circuits
vs. being used for domestic consumption, for the year 2010.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f05.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <title>Temporal trends</title>
      <p id="d1e771">Figure 3 shows the trends for the four largest P fluxes in the agriculture system, illustrating that chemical fertilizer inputs, P loss
to the environment, and P harvested in crops presented significantly increasing trends during this period. The application of phosphate
fertilizer increased at an average annual rate of 3.2 % from 2002 to 2010 despite a decrease in 2008 that reflected reduced
fertilizer application at a time when the price of phosphate fertilizers increased (Cordell et al., 2009, 2012). The trend for P in
harvested crop biomass was also a steady increase, but at a lower annual rate (2.4 %) and with no decrease in 2008, probably
because of the availability of P that accumulated in the soil from previous years (as described in Sect. 2.5). Overall, P in
agricultural soils increased by 1.3 % annually, whereas P losses to the environment increased faster (6.4 % <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)
than fertilizer inputs.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS3">
  <title>Global P fluxes in cropland</title>
      <p id="d1e794">Cropland received the largest fraction (82 %) of phosphate fertilizer, 29 % of the manure produced by livestock,
and
all of the recycled human sewage sludge (Fig. 2). Atmospheric deposition contributed an additional 0.6 <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
of inputs to croplands. Harvesting of cropland removed 11.7 <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which can be divided into crop products used for
human nutrition (9.3 <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, including 5.3 for food, 2.7 for processing, 0.4 for waste, and 0.9 for other use) and for
livestock feed (2.1 <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), with a small pool in seeds returned to the cropland (0.3 <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). On
average, 50 % of the P contained in crop residues was recycled to cropland during the study period, with 0.2 <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
lost to the atmosphere from the burning of crop residues. The remaining 3.6 <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> contained in harvested crop residues is
removed from cropland and redistributed to livestock and humans. Globally, 3.7 <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> was lost from cropland soils
through leaching and run-off. The sum of all these fluxes results in an annual soil P accumulation of 6.6 <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
(Fig. 2).</p>
      <p id="d1e978">The global cropland PUE averaged 0.46, with a maximum of 0.51 in 2008 and a minimum of 0.44 in 2006. The annual cropland P accumulation
ratio (cropland soil P accumulation <inline-formula><mml:math id="M34" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> total P input to cropland) was 23 %, which is lower than the accumulation ratio of 48 %
found for the overall agriculture system. In countries where labile P inputs were lower than P removal in crops, the soil's labile P
pool was depleted by 1.9 <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> through the harvesting of crop biomass. In countries where labile P inputs are higher than P
removal by crops, the accumulation of soil labile P was 6.0 <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Thus, there is an asymmetry between these two
groups of countries, with accumulation being larger than depletion on a global scale. In addition, the global stable P pool in
cropland increased by an average of 5.6 <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from 2002 to 2010.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS4">
  <title>Global P fluxes in pasture</title>
      <p id="d1e1054">Different from croplands, most P inputs to pasture were from livestock manure (12.7 <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), with small additional
contributions from atmospheric deposition (0.8 <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and phosphate fertilizers (0.4 <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). The
primary production of pasture incorporates 10.0 <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> of P into grass biomass that is digested by animals, and the
leaching and run-off loss averages 1.7 <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. From all these fluxes, we estimated a global pasture PUE of 0.72 and
a net accumulation of 2.2 <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the soil. In the countries where grass P removal exceeded the labile P inputs, the
labile soil P pool was depleted by 1.4 <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.  In the countries where the labile P input exceeded grass P removal, an
average of 5.3 <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> was transferred from the labile to the stable soil P pool from 2002 to 2010.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS5">
  <title>Global P fluxes in livestock</title>
      <p id="d1e1225">The annual P input to livestock was 25.6 <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with most of the contributions from grazed grass
(10.0 <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and processed feed (10.0 <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). The economic P output in the form of livestock products
averaged 1.5 <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which gives a PUE of 0.06. Averages of 29 and 56 % of the P produced in livestock manure were
recycled into cropland and pasture, respectively; the rest of this manure (4.3 <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) was lost to the environment.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS6">
  <title>Global P fluxes in human use</title>
      <p id="d1e1334">Humans receive an annual input of 14.0 <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from harvested crop products, livestock products, and the use of
detergents and other products manufactured from phosphate rock. Although P inputs as food (crop food and livestock products) amounted
to 6.8 <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, humans only absorbed 3.0 <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (44 %); the remainder was either wasted before
consumption (e.g. in food processing) or transferred back to livestock as processed feed. Thus, only 14.3 % of the total P inputs
into the agriculture system end up as food being actually consumed by humans. P lost to the environment by human use amounts to
2.6 <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which is divided among 2.2 <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> lost through inefficient processing and excreta and
0.4 <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> through bioenergy-related emissions. The fate of non-recycled P in human waste was not separated between
bodies of water (untreated sewage) and landfills.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p id="d1e1461">Regional annual agricultural P budgets and P-use efficiency (PUE).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.88}[.88]?><oasis:tgroup cols="13">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Subsystem</oasis:entry>  
         <oasis:entry colname="col2">World</oasis:entry>  
         <oasis:entry colname="col3">Eastern</oasis:entry>  
         <oasis:entry colname="col4">Northern</oasis:entry>  
         <oasis:entry colname="col5">Western</oasis:entry>  
         <oasis:entry colname="col6">Eastern</oasis:entry>  
         <oasis:entry colname="col7">Southern</oasis:entry>  
         <oasis:entry colname="col8">Western</oasis:entry>  
         <oasis:entry colname="col9">Oceania</oasis:entry>  
         <oasis:entry colname="col10">Europe</oasis:entry>  
         <oasis:entry colname="col11">North</oasis:entry>  
         <oasis:entry colname="col12">Caribbean</oasis:entry>  
         <oasis:entry colname="col13">South</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">and</oasis:entry>  
         <oasis:entry colname="col4">Africa</oasis:entry>  
         <oasis:entry colname="col5">and</oasis:entry>  
         <oasis:entry colname="col6">Asia</oasis:entry>  
         <oasis:entry colname="col7">and south-</oasis:entry>  
         <oasis:entry colname="col8">and</oasis:entry>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11">America</oasis:entry>  
         <oasis:entry colname="col12">and</oasis:entry>  
         <oasis:entry colname="col13">America</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">southern</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">central</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7">eastern</oasis:entry>  
         <oasis:entry colname="col8">central</oasis:entry>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12">Central</oasis:entry>  
         <oasis:entry colname="col13"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">Africa</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">Africa</oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7">Asia</oasis:entry>  
         <oasis:entry colname="col8">Asia</oasis:entry>  
         <oasis:entry colname="col9"/>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>  
         <oasis:entry colname="col12">America</oasis:entry>  
         <oasis:entry colname="col13"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col13" align="center">Agricultural land P budget (<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cropland</oasis:entry>  
         <oasis:entry colname="col2">6.6</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M61" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M62" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M63" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2</oasis:entry>  
         <oasis:entry colname="col6">4.1</oasis:entry>  
         <oasis:entry colname="col7">1.4</oasis:entry>  
         <oasis:entry colname="col8">0.0</oasis:entry>  
         <oasis:entry colname="col9">0.3</oasis:entry>  
         <oasis:entry colname="col10">0.7</oasis:entry>  
         <oasis:entry colname="col11">0.3</oasis:entry>  
         <oasis:entry colname="col12">0.0</oasis:entry>  
         <oasis:entry colname="col13">0.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Pasture</oasis:entry>  
         <oasis:entry colname="col2">2.2</oasis:entry>  
         <oasis:entry colname="col3">0.1</oasis:entry>  
         <oasis:entry colname="col4">0.5</oasis:entry>  
         <oasis:entry colname="col5">0.3</oasis:entry>  
         <oasis:entry colname="col6">0.5</oasis:entry>  
         <oasis:entry colname="col7">0.2</oasis:entry>  
         <oasis:entry colname="col8">0.2</oasis:entry>  
         <oasis:entry colname="col9">0.4</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M64" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M65" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>  
         <oasis:entry colname="col12">0.1</oasis:entry>  
         <oasis:entry colname="col13">0.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col13" align="center">Agricultural land P budget per unit area (<inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">yr</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cropland</oasis:entry>  
         <oasis:entry colname="col2">4.7</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M69" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.0</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M70" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.5</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M71" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.7</oasis:entry>  
         <oasis:entry colname="col6">23.4</oasis:entry>  
         <oasis:entry colname="col7">4.1</oasis:entry>  
         <oasis:entry colname="col8">0.2</oasis:entry>  
         <oasis:entry colname="col9">5.2</oasis:entry>  
         <oasis:entry colname="col10">2.8</oasis:entry>  
         <oasis:entry colname="col11">1.5</oasis:entry>  
         <oasis:entry colname="col12">3.8</oasis:entry>  
         <oasis:entry colname="col13">2.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Pasture</oasis:entry>  
         <oasis:entry colname="col2">0.4</oasis:entry>  
         <oasis:entry colname="col3">0.2</oasis:entry>  
         <oasis:entry colname="col4">1.6</oasis:entry>  
         <oasis:entry colname="col5">0.9</oasis:entry>  
         <oasis:entry colname="col6">1.0</oasis:entry>  
         <oasis:entry colname="col7">0.4</oasis:entry>  
         <oasis:entry colname="col8">0.6</oasis:entry>  
         <oasis:entry colname="col9">0.8</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M72" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.4</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M73" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1</oasis:entry>  
         <oasis:entry colname="col12">3.4</oasis:entry>  
         <oasis:entry colname="col13">0.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col13" align="center">Food consumption (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Crops</oasis:entry>  
         <oasis:entry colname="col2">5.3</oasis:entry>  
         <oasis:entry colname="col3">0.2</oasis:entry>  
         <oasis:entry colname="col4">0.3</oasis:entry>  
         <oasis:entry colname="col5">0.2</oasis:entry>  
         <oasis:entry colname="col6">1.4</oasis:entry>  
         <oasis:entry colname="col7">1.3</oasis:entry>  
         <oasis:entry colname="col8">0.3</oasis:entry>  
         <oasis:entry colname="col9">0.0</oasis:entry>  
         <oasis:entry colname="col10">0.8</oasis:entry>  
         <oasis:entry colname="col11">0.4</oasis:entry>  
         <oasis:entry colname="col12">0.0</oasis:entry>  
         <oasis:entry colname="col13">0.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Meat</oasis:entry>  
         <oasis:entry colname="col2">0.71</oasis:entry>  
         <oasis:entry colname="col3">0.01</oasis:entry>  
         <oasis:entry colname="col4">0.01</oasis:entry>  
         <oasis:entry colname="col5">0.01</oasis:entry>  
         <oasis:entry colname="col6">0.29</oasis:entry>  
         <oasis:entry colname="col7">0.05</oasis:entry>  
         <oasis:entry colname="col8">0.01</oasis:entry>  
         <oasis:entry colname="col9">0.01</oasis:entry>  
         <oasis:entry colname="col10">0.17</oasis:entry>  
         <oasis:entry colname="col11">0.10</oasis:entry>  
         <oasis:entry colname="col12">0.00</oasis:entry>  
         <oasis:entry colname="col13">0.05</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Eggs</oasis:entry>  
         <oasis:entry colname="col2">0.16</oasis:entry>  
         <oasis:entry colname="col3">0.00</oasis:entry>  
         <oasis:entry colname="col4">0.00</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">0.07</oasis:entry>  
         <oasis:entry colname="col7">0.02</oasis:entry>  
         <oasis:entry colname="col8">0.01</oasis:entry>  
         <oasis:entry colname="col9">0.00</oasis:entry>  
         <oasis:entry colname="col10">0.03</oasis:entry>  
         <oasis:entry colname="col11">0.02</oasis:entry>  
         <oasis:entry colname="col12">0.00</oasis:entry>  
         <oasis:entry colname="col13">0.01</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Milk</oasis:entry>  
         <oasis:entry colname="col2">0.60</oasis:entry>  
         <oasis:entry colname="col3">0.01</oasis:entry>  
         <oasis:entry colname="col4">0.03</oasis:entry>  
         <oasis:entry colname="col5">0.00</oasis:entry>  
         <oasis:entry colname="col6">0.04</oasis:entry>  
         <oasis:entry colname="col7">0.13</oasis:entry>  
         <oasis:entry colname="col8">0.04</oasis:entry>  
         <oasis:entry colname="col9">0.01</oasis:entry>  
         <oasis:entry colname="col10">0.18</oasis:entry>  
         <oasis:entry colname="col11">0.09</oasis:entry>  
         <oasis:entry colname="col12">0.01</oasis:entry>  
         <oasis:entry colname="col13">0.05</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col13" align="center">PUE </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cropland</oasis:entry>  
         <oasis:entry colname="col2">0.46</oasis:entry>  
         <oasis:entry colname="col3">0.80</oasis:entry>  
         <oasis:entry colname="col4">0.84</oasis:entry>  
         <oasis:entry colname="col5">1.51</oasis:entry>  
         <oasis:entry colname="col6">0.27</oasis:entry>  
         <oasis:entry colname="col7">0.43</oasis:entry>  
         <oasis:entry colname="col8">0.64</oasis:entry>  
         <oasis:entry colname="col9">0.31</oasis:entry>  
         <oasis:entry colname="col10">0.54</oasis:entry>  
         <oasis:entry colname="col11">0.57</oasis:entry>  
         <oasis:entry colname="col12">0.53</oasis:entry>  
         <oasis:entry colname="col13">0.63</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Pasture</oasis:entry>  
         <oasis:entry colname="col2">0.72</oasis:entry>  
         <oasis:entry colname="col3">0.77</oasis:entry>  
         <oasis:entry colname="col4">0.61</oasis:entry>  
         <oasis:entry colname="col5">0.46</oasis:entry>  
         <oasis:entry colname="col6">0.58</oasis:entry>  
         <oasis:entry colname="col7">0.80</oasis:entry>  
         <oasis:entry colname="col8">0.61</oasis:entry>  
         <oasis:entry colname="col9">0.42</oasis:entry>  
         <oasis:entry colname="col10">1.25</oasis:entry>  
         <oasis:entry colname="col11">0.98</oasis:entry>  
         <oasis:entry colname="col12">0.37</oasis:entry>  
         <oasis:entry colname="col13">0.75</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Livestock</oasis:entry>  
         <oasis:entry colname="col2">0.06</oasis:entry>  
         <oasis:entry colname="col3">0.02</oasis:entry>  
         <oasis:entry colname="col4">0.02</oasis:entry>  
         <oasis:entry colname="col5">0.01</oasis:entry>  
         <oasis:entry colname="col6">0.08</oasis:entry>  
         <oasis:entry colname="col7">0.05</oasis:entry>  
         <oasis:entry colname="col8">0.04</oasis:entry>  
         <oasis:entry colname="col9">0.04</oasis:entry>  
         <oasis:entry colname="col10">0.09</oasis:entry>  
         <oasis:entry colname="col11">0.08</oasis:entry>  
         <oasis:entry colname="col12">0.03</oasis:entry>  
         <oasis:entry colname="col13">0.03</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Food</oasis:entry>  
         <oasis:entry colname="col2">0.45</oasis:entry>  
         <oasis:entry colname="col3">0.60</oasis:entry>  
         <oasis:entry colname="col4">0.50</oasis:entry>  
         <oasis:entry colname="col5">0.64</oasis:entry>  
         <oasis:entry colname="col6">0.40</oasis:entry>  
         <oasis:entry colname="col7">0.64</oasis:entry>  
         <oasis:entry colname="col8">0.44</oasis:entry>  
         <oasis:entry colname="col9">0.26</oasis:entry>  
         <oasis:entry colname="col10">0.28</oasis:entry>  
         <oasis:entry colname="col11">0.32</oasis:entry>  
         <oasis:entry colname="col12">0.68</oasis:entry>  
         <oasis:entry colname="col13">0.42</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col13" align="center">International trade of P in commodities (<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Crops</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">0.02</oasis:entry>  
         <oasis:entry colname="col4">0.12</oasis:entry>  
         <oasis:entry colname="col5">0.03</oasis:entry>  
         <oasis:entry colname="col6">0.35</oasis:entry>  
         <oasis:entry colname="col7">0.03</oasis:entry>  
         <oasis:entry colname="col8">0.12</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M77" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.07</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M78" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.02</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M79" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.41</oasis:entry>  
         <oasis:entry colname="col12">0.03</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math id="M80" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Meat</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">0.000</oasis:entry>  
         <oasis:entry colname="col4">0.001</oasis:entry>  
         <oasis:entry colname="col5">0.000</oasis:entry>  
         <oasis:entry colname="col6">0.013</oasis:entry>  
         <oasis:entry colname="col7">0.000</oasis:entry>  
         <oasis:entry colname="col8">0.002</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M81" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.004</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M82" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.002</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M83" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.005</oasis:entry>  
         <oasis:entry colname="col12">0.001</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math id="M84" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.010</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Eggs</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">0.0001</oasis:entry>  
         <oasis:entry colname="col4">0.0000</oasis:entry>  
         <oasis:entry colname="col5">0.0000</oasis:entry>  
         <oasis:entry colname="col6">0.0001</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M85" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0004</oasis:entry>  
         <oasis:entry colname="col8">0.0001</oasis:entry>  
         <oasis:entry colname="col9">0.0000</oasis:entry>  
         <oasis:entry colname="col10">0.0000</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M86" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0002</oasis:entry>  
         <oasis:entry colname="col12">0.0000</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math id="M87" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0001</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Milk</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">0.000</oasis:entry>  
         <oasis:entry colname="col4">0.003</oasis:entry>  
         <oasis:entry colname="col5">0.001</oasis:entry>  
         <oasis:entry colname="col6">0.004</oasis:entry>  
         <oasis:entry colname="col7">0.005</oasis:entry>  
         <oasis:entry colname="col8">0.004</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M88" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.015</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M89" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.012</oasis:entry>  
         <oasis:entry colname="col11">0.003</oasis:entry>  
         <oasis:entry colname="col12">0.001</oasis:entry>  
         <oasis:entry colname="col13"><inline-formula><mml:math id="M90" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.001</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Fertilizer</oasis:entry>  
         <oasis:entry colname="col2">–</oasis:entry>  
         <oasis:entry colname="col3">0.05</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M91" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.67</oasis:entry>  
         <oasis:entry colname="col5">0.03</oasis:entry>  
         <oasis:entry colname="col6">0.00</oasis:entry>  
         <oasis:entry colname="col7">1.45</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M92" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.05</oasis:entry>  
         <oasis:entry colname="col9">0.21</oasis:entry>  
         <oasis:entry colname="col10"><inline-formula><mml:math id="M93" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.37</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math id="M94" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.00</oasis:entry>  
         <oasis:entry colname="col12">0.06</oasis:entry>  
         <oasis:entry colname="col13">1.10</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><?xmltex \hack{
\setlength\tabularwidth{0.88\tabularwidth}}?><table-wrap-foot><p id="d1e1465"><inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula> The positive values represent a soil P surplus, whereas negative
values represent a soil P deficit. <inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula> The positive values represent net P importers, whereas negative
values represent net P exporters.</p></table-wrap-foot></table-wrap>

</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Regional P budgets</title>
      <p id="d1e2754">Globally, both cropland and pasture presented soil P accumulation from 2002 to 2010, with an accumulation of 59.6 and
19.4 <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>, respectively. For croplands, the net P accumulation in the stable P pools amounted to 52.7 <inline-formula><mml:math id="M96" display="inline"><mml:mi mathvariant="normal">Tg</mml:mi></mml:math></inline-formula> P, and the
remaining 6.9 <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula> accumulated in soil labile pools. For pasture, the accumulation in the stable P pool was 25.0 <inline-formula><mml:math id="M98" display="inline"><mml:mi mathvariant="normal">Tg</mml:mi></mml:math></inline-formula> P,
but 5.6 <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula> was transferred from the stable P pool to be incorporated by grass in regions where P inputs are lower than grass
P uptake.</p>
      <p id="d1e2804">Those global numbers mask large regional differences (Table 1 and Fig. 4) and there were also differences between cropland and
grassland. About 32 % of the global cropland area (in 75 countries) had annual soil P deficits from 2002 to 2007, with a net
cropland soil P accumulation of 6.20–7.66 <inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This fraction increased to 50 % in 2008 and 2009 but the net
cropland soil P accumulation decreased to 4.38 <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in 2008 and 5.39 <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at the time of the
global financial crisis as a result of high P prices and the resulting reduction in fertilizer application (Cordell et al., 2009,
2012). However, the fraction of cropland soil P deficits returned close to the decadal mean value in 2010, with a net soil P
accumulation of 7.30 <inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. On average, 48 % of cropland P uptake was supplied by stable P that accumulated in
previous years according to the equations in Sect. 3 of the Supplement. Including the United States, France, Russia, Argentina, and
Paraguay, 89 countries had labile P inputs into cropland that were lower than crop P removal from 2002 to 2010. However, if we consider
stable P inputs, cropland soil still presented a net soil P surplus in the United States during the same period. Compared with
cropland, a slightly larger proportion of the total global pasture area had a net annual soil P deficit from 2002 to 2010, mostly in
Europe and North America.  The deficit proportion of grassland was only about 38 % in 2002 and 2003, with an annual net soil P
accumulation of 2.26 <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; however, it increased to 43 % during the period of 2004–2010 and the annual pasture
soil P accumulation was about 2.10 <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with the smallest of 2.00 <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in 2009. However, only 48
countries had labile P inputs into pasture that were lower than the P removal in grass.</p>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Regional cropland budgets</title>
      <p id="d1e2953">Examining Fig. 4a reveals that cropland in all African countries experienced an annual soil P deficit, especially in western and
central Africa, with soil P loss rates per unit area ranging from 2.5 <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in 2002 to
2.7 <inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in 2010. In contrast, cropland in eastern Asia accumulated 23.4 <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
during the period from 2002 to 2010, a cumulative storage equivalent to more than 4 years of P fertilizer application. Cropland in
Oceania, Europe, and the Caribbean and Central America also annually accumulated P in their soils. Cropland soils in North America and
South America accumulated P from 2002 to 2007, but experienced temporary P deficits from 2008 to 2010.  Yet despite this, crop yields
did not decrease from 2008 to 2010 in those two regions, probably because of the re-mobilization of P that accumulated in stable
pools. Cropland soils in western and central Asia were nearly balanced, with a mean areal flux of 0.2 <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e3072">Considering the different countries (Fig. 4a), the largest cumulative soil P increase was found in China (34.6 <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>) for the
9 years from 2002 to 2010, followed by India (11.4 <inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>) and Brazil (3.6 <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>). Pakistan (1.8 <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>), the
United States (1.8 <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>), and New Zealand (1.8 <inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>) also had net soil P accumulation, yet of a smaller
magnitude. These six countries accounted for 77 % of the global accumulation of P in countries where cropland had a positive soil P
balance. Furthermore, a large amount of P accumulated in the soil labile P pools of cropland in China and India, at about 20.0 and
4.5 <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>, respectively; however, in the United States, about 6.0 <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula> accumulated in the cropland stable P pool from
2002 to 2010; thus, 4.2 <inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula> was absorbed from the previous cropland soil P. In contrast, most African countries experienced
persistent cropland soil P deficits from 2002 to 2010. This was especially true in Nigeria, which had a cumulative deficit of
1.7 <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. 4a). We also found cumulative soil P deficits in Russia, the Ukraine, and Kazakhstan, but with a smaller
magnitude (1.1, 0.9, and 0.7 <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math></inline-formula>, respectively) for the 9 years. Comparing the rates of change of crop soil P per unit area,
New Zealand had the fastest rate of increase (<inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), whereas Argentina had the fastest rate of
decrease (–7.9 <inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). In terms of the difference between inputs and outputs, loss rates in Argentina were
about 5 times input rates.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Regional pasture budgets</title>
      <p id="d1e3272">We found mainly net losses of P in pasture soils (Fig. 4b), most likely because of the net removal of P through animal grazing, followed
by the export of manure P to enrich cropland soils. Pasture soil P loss rates per unit area in Europe averaged
0.4 <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and reached high values in countries (Denmark, Luxembourg, Germany, and Belgium) with intensive
livestock production systems (Chang et al., 2015) and large grass consumption by livestock, with loss rates <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. North American pastures had a smaller average loss rate of about
0.1 <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The United States, India, and Russia had the largest cumulative P deficits at 2.1, 1.5, and
0.7 <inline-formula><mml:math id="M129" display="inline"><mml:mi mathvariant="normal">Tg</mml:mi></mml:math></inline-formula> P, respectively, from 2002 to 2010. In contrast, pasture in the Caribbean and Central America had greater P inputs than
P removals. Consequently, these regions had the largest soil P accumulation rates. Pasture in northern and eastern Africa also had net
soil P accumulation. For instance, Mauritania, Tunisia, and Morocco had net soil P accumulation rates of 9.8, 9.4, and
5.5 <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively. The reason for this excess is not clear, but one possibility is that these countries
apply P fertilizer to some of their pasture.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Phosphorus-use efficiencies in different regions</title>
      <p id="d1e3416">Table 1 gives the values of PUE for cropland, pasture, livestock, and food (human use) in the world's different regions. Globally, 116
countries have cropland PUE values above the global mean value of 0.46, mostly in Africa, and these countries account for 64 % of
the global cropland area. In addition, 16 % of the countries had a PUE of around 0.6 (0.55 to 0.65). In particular, African
countries had the highest overall cropland PUE (<inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">0.80</mml:mn></mml:mrow></mml:math></inline-formula>) because of their low P input. On the other hand, eastern Asia and Oceania
have cropland PUE below the global average. Conversely, pasture had high PUE in Europe (1.25) and North America (0.98) but low values
in Africa (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">0.77</mml:mn></mml:mrow></mml:math></inline-formula>) and particularly low values in the Caribbean and Central America (0.37). P removal from pasture exceeded P
inputs in Europe, resulting in pasture PUE <inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, largely because of P inputs from feed given to animals.</p>
      <p id="d1e3449">The livestock subsystem generally had a low PUE (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>), with the highest values in Europe, North America, and eastern Asia
(Table 1).  Regarding human food PUE, our data indicate that only 25 to 40 % of the P in food products in eastern Asia, Oceania,
Europe, and North America is actually consumed by humans (Table 1). The resulting low PUE of human use in these regions results from
both large P inputs and high food waste.  Eastern and southern Africa, western and central Africa, southern and southeastern Asia, and
the Caribbean and Central America had the highest PUE for human use, with more than 60 % of P in food being consumed by humans.
Globally, most of the P consumed by humans (78 %) originates from crops, and the fraction of P from livestock differs among
regions; it ranges from 35 % of the total human food P consumption in Oceania, Europe, and North America to 10 % in less
developed regions (Africa and the Caribbean and Central America) and to 4 % in western and central Africa.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p id="d1e3464">Annual P flows embedded in traded crop products <bold>(a)</bold>, livestock products <bold>(b)</bold>, and fertilizers <bold>(c)</bold> in
2010. By convention, a positive flow is P received (imported) by a country.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f06.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e3485">Groupings of the countries based on whether they import or export P through their international trade in food and fertilizer.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f07.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS4">
  <title>P flows through international trade</title>
      <p id="d1e3500">Approximately 2.1 <inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> entered into international trade in 2010, amounting to about 17 % of the total harvested
crop P (Fig. 5). The remainder (10.6 <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) is consumed domestically. Differences in crop types as a result of their
specific P content (Table S1) strongly determine the magnitude of the traded P fluxes. For example, 37 % of the P in soybeans and
27 % of the P in wheat produced each year were traded internationally in 2010. Also significant fractions of the P in maize, other
cereals, and fruit were traded internationally, but almost all of the P in sugar crops and fibre were consumed or processed in the
countries where they were grown.</p>
      <p id="d1e3543">Considering the P fluxes in phosphate fertilizers and food products, we examined how international trade influences regional P budgets
and redistributes P between regions. We found that southern and southeastern Asia have the largest net P imports (Table 1), with
imports of phosphate fertilizer amounting to 1.4 <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and P exports as food products being much smaller, mainly to
China and South Korea. South America is the second-largest exporter of P in food, but imports 56 % of its P fertilizer. North
America is a large exporter of P in both crop products and fertilizer, yet it also imports P-rich milk products. Most European
countries imported nearly all their phosphate fertilizers, but Europe as a whole is a net exporter because of large exports
(0.9 <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) from Russia (Fig. 6). Western European countries were the main exporters of P-rich livestock
products. Some northern African countries (especially Morocco and Tunisia, which have the largest mines of P-rich ores) exported
a total of 0.7 <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in fertilizer. The remaining regions (eastern and southern Africa, northern Africa, and the
Caribbean and Central America) imported P in both food and fertilizer, although much less than other regions (Table 1).</p>
      <p id="d1e3606">Figure 6 illustrates the disparities among countries with respect to the role of international trade in crops, livestock, and
fertilizer for the main exporters and importers. Based on data for all 224 countries, a country can be categorized into one of the
following four groups (Fig. 7).</p>
      <p id="d1e3609"><italic>Food and fertilizer P exporters</italic>. P storage in these countries has been decreasing due to their international exports of both fertilizer
and food.  Examples include the United States and Russia.</p>
      <p id="d1e3615"><italic>Food P importers and fertilizer P exporters</italic>. This group mainly comprises countries that export phosphate fertilizers and import food to
meet domestic consumption. Examples includes Tunisia, Morocco, and China.</p>
      <p id="d1e3620"><italic>Food P exporters and fertilizer P importers</italic>. These countries have high food and livestock production, but this depends strongly on
phosphate fertilizer imported from other countries. Examples include Brazil, Argentina, Canada, France, Australia, and India.</p>
      <p id="d1e3625"><italic>Food and fertilizer P importers</italic>. These countries depend on imports for both food and fertilizers; they are thus vulnerable to economic
shocks that result from changing food prices. Examples include Japan and Indonesia.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e3633">Proportions of total consumption and total international trade
accounted for by P in fertilizer and food imports and exports.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry namest="col2" nameend="col5">Proportion (%) </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Group</oasis:entry>  
         <oasis:entry colname="col2">P fertilizer</oasis:entry>  
         <oasis:entry colname="col3">P fertilizer exports</oasis:entry>  
         <oasis:entry colname="col4">P in food imports</oasis:entry>  
         <oasis:entry colname="col5">P in food exports as</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">imports as a</oasis:entry>  
         <oasis:entry colname="col3">as a proportion</oasis:entry>  
         <oasis:entry colname="col4">as a proportion of</oasis:entry>  
         <oasis:entry colname="col5">a proportion of the</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">proportion of total</oasis:entry>  
         <oasis:entry colname="col3">of the total</oasis:entry>  
         <oasis:entry colname="col4">total consumption</oasis:entry>  
         <oasis:entry colname="col5">total international</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">consumption</oasis:entry>  
         <oasis:entry colname="col3">international P</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">P in the food trade</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">fertilizer trade</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="center">Group level </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Food and fertilizer exporter</oasis:entry>  
         <oasis:entry colname="col2">22</oasis:entry>  
         <oasis:entry colname="col3">43</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>  
         <oasis:entry colname="col5">31</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Food importer and fertilizer exporter</oasis:entry>  
         <oasis:entry colname="col2">5</oasis:entry>  
         <oasis:entry colname="col3">48</oasis:entry>  
         <oasis:entry colname="col4">22</oasis:entry>  
         <oasis:entry colname="col5">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Food exporter and fertilizer importer</oasis:entry>  
         <oasis:entry colname="col2">55</oasis:entry>  
         <oasis:entry colname="col3">5</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>  
         <oasis:entry colname="col5">48</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Food and fertilizer importer</oasis:entry>  
         <oasis:entry colname="col2">79</oasis:entry>  
         <oasis:entry colname="col3">4</oasis:entry>  
         <oasis:entry colname="col4">28</oasis:entry>  
         <oasis:entry colname="col5">15</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col5" align="center">Country level </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">United States (food and fertilizer exporter)</oasis:entry>  
         <oasis:entry colname="col2">13</oasis:entry>  
         <oasis:entry colname="col3">18</oasis:entry>  
         <oasis:entry colname="col4">6</oasis:entry>  
         <oasis:entry colname="col5">26</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">China (food importer and fertilizer exporter)</oasis:entry>  
         <oasis:entry colname="col2">2</oasis:entry>  
         <oasis:entry colname="col3">20</oasis:entry>  
         <oasis:entry colname="col4">14</oasis:entry>  
         <oasis:entry colname="col5">2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">France (food exporter and fertilizer importer)</oasis:entry>  
         <oasis:entry colname="col2">52</oasis:entry>  
         <oasis:entry colname="col3">0</oasis:entry>  
         <oasis:entry colname="col4">19</oasis:entry>  
         <oasis:entry colname="col5">8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Brazil (food exporter and fertilizer importer)</oasis:entry>  
         <oasis:entry colname="col2">44</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">10</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Japan (food and fertilizer importer)</oasis:entry>  
         <oasis:entry colname="col2">40</oasis:entry>  
         <oasis:entry colname="col3">0</oasis:entry>  
         <oasis:entry colname="col4">60</oasis:entry>  
         <oasis:entry colname="col5">0</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e3924">International trade affects the global P cycle by physically moving the P contained in traded crops, livestock products, and phosphate
fertilizers (Grote et al., 2005). Imports of P fertilizers accounted for 55 and 79 %, respectively, of the total application of P
fertilizer for countries that are food P exporters and fertilizer P importers or food and fertilizer P importers. The P trade in food
followed a similar trend. Countries that are food P importers and fertilizer P exporters or food and fertilizer P importers depended
more on food imports than countries that are food and fertilizer P exporters or food P exporters and fertilizer P importers.
International trade also increased the connections among countries (Table 2). For example, although the United States and China are
clearly major P fertilizer exporters, they also import fertilizer from each other; 2.6 % of the P fertilizer applied in the United
States originated in China, and 3.6 % of the phosphate fertilizer applied in China originated in the United States. In addition,
11.4 % of the phosphate fertilizer consumption in the United States originated from Russia, Morocco, Tunisia, and other
countries. About 1.5 % of Chinese domestic P consumption originates from the United States, which is higher than the fraction of
domestic P consumption in the United States from China. Countries with small or no reserves of P-containing minerals imported large
amounts of phosphate fertilizer; for example, imports accounted for 61 and 46 % of total P consumed in France and Brazil (food P
exporters and fertilizer P importers) and 76 % of total P consumed in Japan.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <title>Uncertainties in soil P changes result from uncertain P concentrations</title>
      <p id="d1e3934">We estimated the net cropland soil P balance in 2000 by means of Monte Carlo simulations, as described in Sect. 2.7. We found a net
accumulation of <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. More detailed calculations suggest that uncertainty in the crop P concentrations
contributed <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> of the uncertainty in the net cropland soil P balance; this is because of the dominance of
calculations using cereals, which have low uncertainty due to the narrow range of reported P concentrations (Antikainen et al., 2005;
COMIFER, 2007; USDA-NRCS, 2009; Waller, 2010). Uncertainty in P concentrations in crop residues contributed an additional
<inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to the total uncertainty, and uncertainty in P concentrations in the livestock manure applied to
cropland added <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.  In addition, the uncertainty in the pasture soil P balance attributed to uncertainty
in the P concentrations in grass biomass and manure was <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This relative uncertainty is higher than that
for the cropland soil P balance and the results from the large range of grass P concentrations found in our review of the available
data. See Table S5 for more details.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p id="d1e4092">The relationships between P input per unit area of cropland and <bold>(a)</bold> phosphorus-use efficiency (PUE) The horizontal
line at PUE <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.67</mml:mn></mml:mrow></mml:math></inline-formula> represents the global average. <bold>(b)</bold> P in harvested crops for the 35 largest crop producers representing
90 % of global crops. The equations give the fit to the data represented by black curves.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f08.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p id="d1e4119">Phosphorus-use efficiency (PUE) and P in harvested crops for the 35 large countries shown in Fig. 8. Cropland soil P surplus
or deficit is separated by the vertical dashed line.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f09.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <title>Cropland PUE and P in harvested crops as a function of cropland P inputs</title>
      <p id="d1e4140">Figure 8a shows the relationship between the cropland PUE and cropland P inputs for 35 countries that are large crop producers. PUE
decreased exponentially with increasing input; that is, P was used most efficiently at low application rates. PUE decreased rapidly as
P inputs increased to 10 <inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and then decreased more slowly. High PUE values were associated with
countries that had a low P input and a soil P deficit. This suggests that there is a trade-off between the efficient use of P in cropland
and the avoidance of soil P deficits that limit crop yields (Obersteiner et al., 2013). Figure 8a also indicates that cropland soils
have a net soil P deficit if their inputs are lower than 10 <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which is a threshold value that
corresponds to PUE <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.67</mml:mn></mml:mrow></mml:math></inline-formula>. Argentina, South Africa, Indonesia, Mexico, and Paraguay are below this threshold (Fig. 9).</p>
      <p id="d1e4211">P in harvested crops increased exponentially with increasing P inputs, but the response slowed at high P inputs (Fig. 8b). The P in
harvested crops in countries with cropland PUE <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.67</mml:mn></mml:mrow></mml:math></inline-formula> (except Argentina) is only half of that in countries with high P in the
harvested crops, such as the United States and China. P in the harvested crops was very low in Australia due to low cropland P input,
which was less than 25 % of the inputs in the United States and China. P already present in the soil may be sufficient to sustain
high crop yields for some time without additional inputs in some countries (e.g. France) that formerly had large P fertilization rates,
despite currently having a negative annual P balance. Comparing Fig. 8a and b suggests that total cropland P inputs of 20 to
25 <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> may be a good compromise that will achieve high yields while creating a near-equilibrium soil P
balance. Both excessive P inputs (e.g.  China and Japan) and low PUE (e.g. India) can lead to high P accumulation in cropland soil,
leading to high losses into the environment.</p>
      <p id="d1e4253">The data in Fig. 8 indicate that different countries face different challenges for P resource management, implying a need for
country-specific policy options and solutions. Countries like Kazakhstan and Argentina may have to increase P inputs to their cropland
in order to prevent long-term depletion of soil P, which could be realized by increasing the application of phosphate fertilizer or
reducing losses to leaching and erosion.  Countries like France that are currently experiencing a net negative soil P balance (Fig. 9)
following a period of sustained accumulation (Senthilkumar et al., 2012; van Dijk et al., 2016) may need to progressively adjust
fertilizer inputs in coming years to balance inputs with removals and avoid the risk of a long-term soil fertility decline due to
inadequate levels of P. In contrast, countries such as Japan and China are rapidly accumulating P in cropland soils due to high and
sustained P inputs and will urgently need to consider how to improve their cropland PUE. This could be initiated by identifying crop
types that are being over-fertilized and regions with excessive application of phosphate fertilizer; they can then consider a range of
options such as precision agriculture (i.e. applying only as much P as the crop requires). We estimate that if Chinese cropland PUE
could be increased to the global average of 0.46 (Fig. 9), China would save 3.8 <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> of phosphate fertilizer, which
is equivalent to 60 % of its phosphate fertilizer consumption in 2010. Last, in countries like India where crop P harvests are
lower than average despite high average P inputs and positive soil <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula>, improvements in agricultural management (such as the use
of precision fertilization) appear necessary. We did not have access to subnational data for this study, but it is likely that in
a country as large as India, excessive or insufficient P may occur in different regions, for different crop types, or for different
region–crop-type combinations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p id="d1e4288">The relationship between the P yield of livestock products, defined by the amount of P in livestock products per unit area of
pasture and the P balance of pasture soils.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/10/1/2018/essd-10-1-2018-f10.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <title>Pasture P budget, livestock consumption, and international trade</title>
      <p id="d1e4303">Figure 10 shows that the soil P balance is negatively related to the flux of P in livestock products per unit area of pasture. Several
western European countries (Germany, the Netherlands, Denmark, and Belgium) achieve high P yields in livestock products (defined by the
amount of P in livestock products per unit area of pasture), and all of these countries export livestock products. In these countries,
only a small fraction of livestock manure is recycled to pasture, so there is currently a soil P deficit; in the long term, this may
result in a loss of soil fertility. Therefore, these countries should increase P fertilization in pasture or import forage or feed to
supply the P required to sustain high livestock production. New Zealand, Australia, and Canada are also large exporters of P in
livestock products. However, given their low-input production systems and large areas of pasture (Fig. 4b), P removals per unit area
through grazing are much lower than in western Europe, and the soil P balance of pasture ranges from slightly negative to slightly
positive.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>Livestock and human food PUE and trends in P consumption</title>
      <p id="d1e4312">The increasing consumption of livestock products by humans is an essential factor that is responsible for increasing P mining and
increasing P inputs to agricultural systems (Metson et al., 2012; van Dijk et al., 2016). Where socioeconomic development is improving
the income of residents, especially in Africa and the Caribbean and Central American region, residents are consuming more P from
livestock products (Fig. S3). Unfortunately, the livestock PUE in countries in these two regions is much smaller (0.01 to 0.03) than
the global average of 0.06 (Table 1), indicating that only a small proportion of livestock P inputs is used by humans. This may be
because countries in these regions are primarily importers of livestock products. Therefore, animal husbandry has important
implications for global P security and special attention will be required to improve livestock PUE (Wu et al., 2014). If livestock PUE
reaches the global level of 0.06 in these two regions, both regions could more than double their livestock production by about
0.16 <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e4335">In addition, the management of manure differs greatly among regions due to different livestock production systems. The yield of
livestock products is very low in African countries, resulting in low livestock PUE.  Almost all livestock manure is applied to
cropland for which this resource is an important P input. In contrast, with the application of phosphate fertilizer to pasture in Europe and
eastern Asia, only a small fraction of livestock manure is recycled for pasture (36 and 17 %, respectively); a larger fraction of
the manure is applied to cropland in eastern Asia (40 %) and Europe (60 %). Consequently, improving the manure utilization
efficiency and applying more livestock manure to pasture will be important strategies in eastern Asia and Europe (Wu et al., 2014).</p>
      <p id="d1e4338">As shown in Sect. 3.3, only 45 % of the P that enters the food production subsystem was absorbed by humans; thus, large amounts of
food (and the P it contains) are wasted, although some parts of the waste were consumed by livestock. Despite this recycling,
2.2 <inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> flowed into the environment as waste either before or after food consumption, and only 14.3 % of the
total P inputs to the agriculture system ended up in food consumed by humans. In eastern Asia, Oceania, Europe, and North America, the
PUE of human food was very low, reflecting the high proportion of livestock products in the diet and a high degree of waste. Therefore,
decreasing food waste before consumption, recycling P in food waste, and better treatment of organic waste could significantly
decrease the amount of P required to support humans (Metson et al., 2012; van Dijk et al., 2016). In eastern Asia, Oceania, Europe, and
North America, fully absorbing the 45 % of the P that enters food produced for humans could reduce agricultural inputs of P by
0.7 <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> globally. Thus, decreasing food waste and improving the PUE of human food represent key challenges that must
be solved to achieve sustainable P management.</p>
      <p id="d1e4381">Population increases and dietary changes are requiring higher P inputs in cultivated land and the increased mining of P ores (Grote et al.,
2005; Foley et al., 2011). From 2002 to 2010, this mining increased by 33 % in our estimate, during a period when the global
population and per capita food P consumption increased by 10 and 5 %, respectively. In 2010, humans consumed 8.0 and 3.8 % more
P in livestock products and crops, respectively. Since livestock PUE was much lower than cropland PUE, the consumption of more livestock
products resulted in lower external P inputs in food that flowed into the human subsystem; this proportion decreased from 36 % in
2002 to 31 % in 2010. Therefore, consuming more livestock products will require increasing P inputs. Thus, human dietary shifts may
have been responsible for half of the increase of P-ore mining.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <title>International trade and global P flows</title>
      <p id="d1e4390">International trade also increased the connections among countries. Whether international trade is good or bad for humans and the
environment in terms of its impact on the management of P resources is a complex question.  International trade can increase cropland P
deficits if countries that export large amounts of P in crop and livestock products do not counteract these exports by increasing
inputs of phosphate fertilizer to soils. For example, Argentina exported lots of food to other countries (about
0.15 <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and has developed a serious cropland soil P deficit of 0.38 <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
(10.3 <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Massive P imports through trade can result in an excess supply of P to cropland soils as manure
(Schipanski and Bennett, 2012), with potentially significant negative environmental effects. On the one hand, trade can hamper the
proper recycling of P resources from waste and manure to agricultural soils through local food webs (Schipanski and Bennett, 2012). On
the other hand, trade may contribute to more efficient use of P resources if traded products flow from countries with lower PUE to
countries with higher PUE, as is generally observed for water resources (Dalin et al., 2014). This confirms that more integrated
studies are required to fully assess the effects of trade on P resource recycling, efficiency, and conservation. Our study identified
world regions and countries with lower PUE and others with high PUE and regions and countries with a net loss of P in soils and others
with a net gain. This provides valuable information to policymakers on how to improve the trade relationships for a global optimization
of PUE and therefore global food security.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p id="d1e4465">Comparison of the present results for P flows and budgets in 2000
with the results of other studies at a global level (<inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col2">Global P flux </oasis:entry>  
         <oasis:entry colname="col3">Previous studies</oasis:entry>  
         <oasis:entry colname="col4">Our study</oasis:entry>  
         <oasis:entry colname="col5">Reasons for differences</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Cropland</oasis:entry>  
         <oasis:entry colname="col2">Fertilizer input</oasis:entry>  
         <oasis:entry colname="col3">14–15<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mtext>–</mml:mtext><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">13.7</oasis:entry>  
         <oasis:entry colname="col5">—</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Animal manure to cropland</oasis:entry>  
         <oasis:entry colname="col3">6–8<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Human sewage sludge to cropland</oasis:entry>  
         <oasis:entry colname="col3">1.5<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">1.3</oasis:entry>  
         <oasis:entry colname="col5">Method</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Crop production</oasis:entry>  
         <oasis:entry colname="col3">8.2–12.3<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mtext>–</mml:mtext><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mn mathvariant="normal">10.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Boundary/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Crops (human food)</oasis:entry>  
         <oasis:entry colname="col3">3.5<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Crops (animal feed)</oasis:entry>  
         <oasis:entry colname="col3">2.6<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Crop residues</oasis:entry>  
         <oasis:entry colname="col3">3.75–4.5<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mtext>–</mml:mtext><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Recycling of residues</oasis:entry>  
         <oasis:entry colname="col3">1–2.2<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mtext>–</mml:mtext><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Leaching and run-off from cropland</oasis:entry>  
         <oasis:entry colname="col3">4<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">3.2</oasis:entry>  
         <oasis:entry colname="col5">Method</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Pasture</oasis:entry>  
         <oasis:entry colname="col2">Livestock manure</oasis:entry>  
         <oasis:entry colname="col3">17.1–24.3<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">7</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mn mathvariant="normal">22.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Manure wasted (released into the environment)</oasis:entry>  
         <oasis:entry colname="col3">2–8<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mtext>–</mml:mtext><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Grass</oasis:entry>  
         <oasis:entry colname="col3">6–12.1<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Method/data</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Animal feed additives</oasis:entry>  
         <oasis:entry colname="col3">0.9<inline-formula><mml:math id="M194" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">1.4</oasis:entry>  
         <oasis:entry colname="col5">Data</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Leaching and run-off from pasture</oasis:entry>  
         <oasis:entry colname="col3">1.0<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">1.6</oasis:entry>  
         <oasis:entry colname="col5">Method</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Humans</oasis:entry>  
         <oasis:entry colname="col2">Excreta</oasis:entry>  
         <oasis:entry colname="col3">3–3.3<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">2.8</oasis:entry>  
         <oasis:entry colname="col5">Method</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e4488">Sources: <inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula> Liu et al. (2008), <inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> Smil (2000), <inline-formula><mml:math id="M167" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> Cordell et al. (2009), <inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula> MacDonald et
al. (2011),
<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> Bouwman et al. (2009), <inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> Bouwman et al. (2013),
<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:math></inline-formula> Sheldrick et al. (2003), <inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msup></mml:math></inline-formula> Potter et al. (2010).</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S4.SS5">
  <title>Comparison with previous studies</title>
      <p id="d1e5132">Previous studies have estimated P flows in agriculture on a global scale (Smil, 2000; Sheldrick et al., 2003; Liu et al., 2008; Cordell
et al., 2009; Bouwman et al., 2009, 2013; Potter et al., 2010; MacDonald et al., 2011). However, to the best of our knowledge, the
present analysis provides the first consistent multi-year overview of the P flows in agriculture. In addition, it provides national and
regional P budgets, calculates agricultural PUE, and quantifies P fluxes in international trade based on a combination of datasets for
cropland and pasture inputs (fertilizers, manure, atmospheric deposition, and recycling of crop residues) and outputs (crop harvests,
residue removal, and P loss by burning and leaching or surface run-off into bodies of water). For data from 2000, our results are
consistent with the abovementioned studies for most P flows (Table 3). For data from 2000, our results are generally consistent with
those in the previous studies for cropland soil P inputs, harvested crop P, cropland soil P lost by erosion or surface run-off into
bodies of water, pasture soil P inputs, and harvested grass P (Table 3). However, methods, data sources, and system boundaries differed
among the studies, making an accurate comparison difficult. Our estimate of a net accumulation of <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
is in line with the reported net accumulation in soils, which ranged between 0 and 11.5 <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Smil, 2000; Bennett
et al., 2001; Bouwman et al., 2009; MacDonald et al., 2011), but disagrees with the estimate of Liu et al. (2008), who calculated a net
loss of 9.6 <inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.  The difference from the present results can be explained by accounting for large P losses
(19.3 <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) due to soil erosion caused by land-use change and over-grazing. The quantification of erosional losses of
P from arable land is prone to high uncertainties due to the unknown amount of redeposited soil material, and other studies have
reported much lower losses (e.g. 2.5 <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; Quinton et al., 2010).</p>
      <p id="d1e5248">The main cropland P fluxes estimated in our study agreed with previous results, except for the production and recycling of crop
residues (Table 3).  Smil (2000) and Liu et al. (2008) used harvest index data (defined as the ratio of total aboveground biomass to
crop residues) for estimating the P in crop residues, whereas we estimated P in crop residues by combining data from Liu et al. (2008)
and FAO. MacDonald et al. (2011) estimated that 29 % of the global cropland area was subject to soil P deficits in 2000, which is
similar to our estimate (32 %) based on data from 2002 to 2010. In addition, our estimate of 22.3 <inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in animal
manure for the livestock subsystem in 2000 is within the reported range of 17.1 to 24.3 <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from Potter
et al. (2010). We defined global cropland PUE as the ratio of P in harvested crops to total P inputs without accounting for the recycling
of crop residues. Under this definition, global PUE was estimated to be 0.43 by Liu et al. (2008) and 0.40 by Smil (2000), both of
which are comparable to our estimate of 0.46 from 2002 to 2010. Since we applied the same methods across the globe to calculate
agricultural P fluxes, we were able to compare the P fluxes and budgets for different regions and countries on a consistent basis. This
information is of critical importance for the development of more appropriate agricultural policy and to support the development of
technological and other solutions for different types of countries, which better integrate cultivated ecosystems, livestock production,
and the human food supply.</p>
</sec>
<sec id="Ch1.S4.SS6">
  <title>Limitations and novelty of our study</title>
      <p id="d1e5297">Due to limited data sources for some parameters, our study and most previous studies focused on P in livestock products and manure as
the outputs of the livestock system and did not consider the fate of P in non-edible livestock products (e.g. bones, blood, leather
products). Xu et al. (2005) pointed out that from 12 to 23 and 72 % of P were contained in livestock meat and bones,
respectively. If these percentages are applied to our data, this gives an annual flux of 2.5 <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the bones of
slaughtered animals. Although most livestock bones are currently wasted or landfilled, some countries have begun to use them as
fertilizers, protein sources, and condiments (Wu and Ma, 2005; Li, 2008). In addition, as we focused on the annual P budgets for
livestock and human beings, we did not account for P accumulation in humans. From 2002 to 2010, the global population increased by
<inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mn mathvariant="normal">635</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> persons. If we assume that a typical adult body contains 600 <inline-formula><mml:math id="M207" display="inline"><mml:mi mathvariant="normal">g</mml:mi></mml:math></inline-formula> of P, then about 0.38 <inline-formula><mml:math id="M208" display="inline"><mml:mi mathvariant="normal">Tg</mml:mi></mml:math></inline-formula> more P would
have accumulated in humans. Therefore, the annual human P accumulation would be 0.04 <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mi mathvariant="normal">Tg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">P</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, accounting for only
0.3 % of the P inputs into humans.</p>
      <p id="d1e5369">Despite the abovementioned limitations in our study, we were able to achieve some interesting and novel results. First, we have
provided a detailed and harmonized summary of the P fluxes as inputs and outputs for the agricultural system and the internal P flows
within the agricultural system on national, regional, and global scales. In addition, we have characterized the P budgets and P-use
efficiencies in the subsystems of the overall agricultural system and discussed their influences and impacts.  Finally, we have
discussed how changes in population, diets, and food consumption have influenced the global mining of P ore and how international trade has
influenced P fluxes. These insights will support the development of policies to use P more sustainably at national, regional, and
global levels.</p>
</sec>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e5378">The global and regional phosphorus budgets and their PUEs in agricultural systems are publicly available at
<uri>https://doi.pangaea.de/10.1594/PANGAEA.875296</uri>.</p>
  </notes>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e5390">The estimation of global and regional phosphorus budgets in agricultural systems and their PUE is a major effort by
the anthropogenic nutrient cycle research community that requires lots of work. We quantified in detail the P inputs and outputs of
cropland and pasture and the P fluxes through human and livestock consumers of agricultural products on global, regional, and
national scales from 2002 to 2010. The results from this analysis confirmed that P from phosphate fertilizers is the largest single
input flux into the agricultural system, while one-half of this input was lost to freshwaters and one-third accumulated in
soils. Chemical fertilizer inputs, P losses to the environment, and P harvested in crop biomass all present increasing trends. The
positive global P balance in cropland and pasture soils is the sum of regional excess and deficits, with differences in the sign of the
balance between cropland and pastures as well. Compared with croplands, a slightly larger proportion of the global pasture area had
a net annual soil P deficit. The hot spots of cropland P budgets are on the one hand eastern Asian countries with excessive inputs and
sub-Saharan African countries with deficits. Hot spots of pasture P budgets are European and North American grazing lands showing
significant soil P deficits. There are great differences in PUE for croplands, pastures, livestock products, and food products
on
global, regional, and national scales. Livestock products generally had the lowest PUE. We showed that cropland PUE decreased
exponentially with increasing input implying that P is used more efficiently at low application rates. In parallel, P in harvested crop
biomass increased with P inputs following a saturating exponential relationship. International trade plays a significant role in the P
redistribution among countries when considering P embedded in imported livestock and food products consumed in each country and the
trade of fertilizers. Nearly one-fifth of total harvested crop P entered into international trade during the period
2002–2010. Population increases and dietary changes are requiring higher P inputs in cultivated land and the increased production of P
fertilizers from minerals. Human dietary shifts may have been responsible for half of the increase in P mining during the period
2002–2010. Regional P imbalances in agricultural soils can be mitigated both by optimizing phosphate fertilizer application and
recycling P.</p><supplementary-material position="anchor"><p id="d1e5392"><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/essd-10-1-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/essd-10-1-2018-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
</sec><notes notes-type="competinginterests">

      <p id="d1e5399">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e5405">This study was supported by the National Natural Science Foundation of China
(41625001, 41571022), the Beijing Natural Science Foundation (grant
8151002), the Southern University of Science and Technology (grant no.
G01296001), and a Synergy Grant (ERC-2013-SyG-610028 IMBALANCE-P) from the
European Research Council.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Attila Demény <?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation> Antikainen, R., Lemola, R., Nousiainen, J. I., Sokka, L., Esala, M., Huhtanen, P., and Rekolainen, S.: Stocks and flows of
nitrogen and phosphorus in the Finnish food production and consumption system, Agr. Ecosyst. Environ., 107, 287–305, 2005.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation> ASAE: Manure Production and Characteristics. D384.2, American Society of Agricultural Engineers, St. Joseph, MI, USA, 2005.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation> Bennett, E. M., Carpenter, S. R., and Caraco, N. F.: Human impact on erodable phosphorus and eutrophication: a global
perspective: increasing accumulation of phosphorus in soil threatens rivers, lakes, and coastal oceans with eutrophication,
BioScience, 51, 227–234, 2001.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>Bouwman, A. F., Beusen, A. H., and Billen, G.: Human alteration of the global nitrogen and phosphorus soil balances for the
period 1970–2050, Global Biogeochem. Cy., 23, <ext-link xlink:href="https://doi.org/10.1029/2009GB003576" ext-link-type="DOI">10.1029/2009GB003576</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation> Bouwman, L., Goldewijk, K. K., Van Der Hoek, K. W., Beusen, A. H., Van Vuuren, D. P., Willems, J., Rufino, M. C., and
Stehfest, E.: Exploring global changes in nitrogen and phosphorus cycles in agriculture induced by livestock production over the
1900–2050 period, P. Natl. Acad. Sci. USA, 110, 20882–20887, 2013.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Carpenter, S. R. and Bennett, E. M.: Reconsideration of the planetary boundary for phosphorus, Environ. Res. Lett., 6,
014009, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/6/1/014009" ext-link-type="DOI">10.1088/1748-9326/6/1/014009</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation> Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., and Smith, V. H.: Nonpoint pollution of
surface waters with phosphorus and nitrogen, Ecol. Appl., 8, 559–568, 1998.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Chang, J., Viovy, N., Vuichard, N., Ciais, P., Campioli, M., Klumpp, K., Matin, R., Leip, A., and Soussana, J. F.: Modeled
changes in potential grassland productivity and in ruminant livestock density in Europe over 1961–2010, PLOS ONE, 10,
e0127554, <ext-link xlink:href="https://doi.org/10.1371/journal.pone.0127554" ext-link-type="DOI">10.1371/journal.pone.0127554</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Chang, J. F., Viovy, N., Vuichard, N., Ciais, P., Wang, T., Cozic, A., Lardy, R., Graux, A.-I., Klumpp, K., Martin, R., and
Soussana, J.-F.: Incorporating grassland management in ORCHIDEE: model description and evaluation at 11 eddy-covariance sites in
Europe, Geosci. Model Dev., 6, 2165–2181, <ext-link xlink:href="https://doi.org/10.5194/gmd-6-2165-2013" ext-link-type="DOI">10.5194/gmd-6-2165-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation> COMIFER: Teneur en P, K et Mg des organes végétaux récoltés pour les cultures de plein champ et les
principaux fourrages, Comité Français d'Étude et de Développement de la Fertilisation Raisonneé, Paris, 2007 (in
French).</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation> Cordell, D., Drangert, J., and White, S.: The story of phosphorus: global food security and food for thought, Global
Environ. Chang., 19, 292–305, 2009.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation> Cordell, D., Neset, T. S., and Prior, T.: The phosphorus mass balance: identifying “hotspots” in the food system as
a roadmap to phosphorus security, Curr. Opin. Biotech., 23, 839–845, 2012.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation> Cordell, D., Jackson, M., and White, S.: Phosphorus flows through the Australian food system: identifying intervention
points as a roadmap to phosphorus security, Environ. Sci. Policy, 29, 87–102, 2013.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation> Dalin, C., Hanasaki, N., Qiu, H., Mauzerall, D. L., and Rodriguez-Iturbe, I.: Water resources transfers through Chinese
interprovincial and foreign food trade, P. Natl. Acad. Sci. USA, 111, 9774–9779, 2014.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation> Elser, J. and Bennett, E.: Phosphorus cycle: a broken biogeochemical cycle, Nature, 478, 29–31, 2011.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation> FAO: Fertilizer Use by Crop (5th Edition), Food and Agriculture Organization of the United Nations, Rome, 2012.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation> Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Muller, N. D., O'Connell, C.,
Ray, D. K., West, P. C., Balzer, C., Bennett, E. M., Carpenter, S. R., Hill, J., Monfreda, C., Polasky, S., Rockström, J.,
Sheehan, J., Siebert, S., Tilman, D., and Balzer, C.: Solutions for a cultivated planet, Nature, 478, 337–342, 2011.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation> Grote, U., Craswell, E., and Vlek, P.: Nutrient flows in international trade: ecology and policy issues,
Environ. Sci. Policy, 8, 439–451, 2005.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation> Herrero, M., Havlík, P., Valin, H., Notenbaert, A., Rufino, M. C., Thornton, P. K., Blümmelb, M., Weissc, F.,
Grace, D., and Obersteiner, M.: Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock
systems, P. Natl. Acad. Sci. USA, 110, 20888–20893, 2013.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation> Levington Agriculture: A Report for the European Fertiliser Manufacturers' Association. Levington Agriculture Ltd.,
Ipswich, UK, 1997.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation> Li, J.: The development and prospective of nutrition in livestock bones, Meat Ind., 322, 41–44, 2008 (in Chinese).</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation> Liu, Y., Villalba, G., Ayres, R. U., and Schroder, H.: Global phosphorus flows and environmental impacts from
a consumption perspective, J. Ind. Ecol., 12, 229–247, 2008.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation> Ma, W., Ma, L., Li, J., Wang, F., Sisák, I., and Zhang, F.: Phosphorus flows and use efficiencies in production and
consumption of wheat, rice, and maize in China, Chemosphere, 84, 814–821, 2011.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation> MacDonald, G. K., Bennett, E. M., Potter, P. A., and Ramankutty, N.: Agronomic phosphorus imbalances across the world's
croplands, P. Natl. Acad. Sci. USA, 108, 3086–3091, 2011.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Metson, G. S., Bennett, E. M., and Elser, J. J.: The role of diet in phosphorus demand, Environ. Res. Lett., 7,
044043, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/7/4/044043" ext-link-type="DOI">10.1088/1748-9326/7/4/044043</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation> MWPS-18: Livestock Waste Facilities Handbook, Midwest Plan Service, University of Missouri, Ames, IA, USA, 1985.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation> Obersteiner, M., Peñuelas, J., Ciais, P., Van Der Velde, M., and Janssens, I. A.: The phosphorus trilemma,
Nat. Geosci., 6, 897–898, 2013.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation> OECD: Secretariat National Soil Surface Nutrient Balances, 1985 to 1995. Explanatory Notes. Coefficients to Convert
Livestock Numbers Into Manure Nitrogen Quantities From National Sources, Organisation for Economic Cooperation and Development,
Paris, 1991.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation> Ott, C. and Rechberger, H.: The European phosphorus balance, Resour. Conserv. Recy., 60, 159–172, 2012.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Penuelas, J., Poulter, B., Sardans, J., Ciais, P., Van Der Velde, M., Bopp, L., Boucher, O., Godderis, Y., Hinsinger, P.,
Llusia, J., Nardin, E., Vicca, S., Obersteiner, M., and Nardin, E.: Human-induced nitrogen–phosphorus imbalances alter natural and
managed ecosystems across the globe, Nat. Commun., 4, 2934, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/7/4/044043" ext-link-type="DOI">10.1088/1748-9326/7/4/044043</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation> Potter, P., Ramankutty, N., Bennett, E. M., and Donner, S. D.: Characterizing the spatial patterns of global fertilizer
application and manure production, Earth Interact., 14, 1–22, 2010.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation> Quinton, J. N., Govers, G., Van Oost, K., and Bardgett, R. D.: The impact of agricultural soil erosion on biogeochemical
cycling, Nat. Geosci., 3, 311–314, 2010.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation> Ringeval, B., Nowak, B., Nesme, T., Delmas, M., and Pellerin, S.: Contribution of anthropogenic phosphorus to agricultural
soil fertility and food production, Global Biogeochem. Cy., 28, 743–756, 2014.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation> Sattari, S. Z., Bouwman, A. F., Giller, K. E., and van Ittersum, M. K.: Residual soil phosphorus as the missing piece in
the global phosphorus crisis puzzle, P. Natl. Acad. Sci. USA, 109, 6348–6353, 2012.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation> Schipanski, M. E. and Bennett, E. M.: The influence of agricultural trade and livestock production on the global
phosphorus cycle, Ecosystems, 15, 256–268, 2012.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation> Scholz, R. W., Ulrich, A. E., Eilittä, M., and Roy, A.: Sustainable use of phosphorus: a finite resource, Sci. Total
Environ., 461, 799–803, 2013.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation> Senthilkumar, K., Nesme, T., Mollier, A., and Pellerin, S.: Regional-scale phosphorus flows and budgets within France: the
importance of agricultural production systems, Nutr. Cycl. Agroecosys., 92, 145–159, 2012.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>Sheldrick, W., Syers, J. K., and Lingard, J.: Contribution of livestock excreta to nutrient balances,
Nutr. Cycl. Agroecosys., 66, 119–131, 2003.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib39"><label>39</label><mixed-citation> Smil, V.: Phosphorus in the environment: natural flows and human interferences, Annu. Rev. Mater. Sci., 25, 53–88, 2000.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R.,
de Vries, W., de Wit, C. A., Folke, C., Gerten, D., Heinke, J., Mace, G. M., Persson, L. M., Ramanathan, V., Reyers, B., and
Sörlin, S.: Planetary boundaries: guiding human development on a changing planet, Science, 347, 1259855, <ext-link xlink:href="https://doi.org/10.1126/science.1259855" ext-link-type="DOI">10.1126/science.1259855</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation> Suh, S. and Yee, S.: Phosphorus use-efficiency of agriculture and food system in the US, Chemosphere, 84, 806–813, 2011.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation> USDA-NRCS: Crop Nutrient Tool: Nutrient Content of Crops. United States Department of Agriculture, Natural Resource
Conservation Service, Washington, 2009.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation> van Dijk, K. C., Lesschen, J. P., and Oenema, O.: Phosphorus flows and balances of the European Union Member States,
Sci. Total Environ., 542, 1078–1093, 2016.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation> Van Vuuren, D. P., Bouwman, A. F., and Beusen, A. H. W.: Phosphorus demand for the 1970–2100 period: a scenario analysis
of resource depletion, Global Environ. Chang., 20, 428–439, 2010.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation> Waller, J. C.: Byproducts and unusual feedstuffs, Feedstuffs, 9, 18–22, 2010.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation> Wang, R., Tao, S., Balkanski, Y., Ciais, P., Boucher, O., Liu, J., Piao, S., Shen, H., Vuoloc, M. R., Valarie, M.,
Chen, H., Chen, Y., Cozic, A., Huang, Y., Li, B., Li, W., Shen, G., Wang, B., and Zhang, Y.: Exposure to ambient black carbon derived
from a unique inventory and high-resolution model, P. Natl. Acad. Sci. USA, 111, 2459–2463, 2014.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation> Wang, R., Balkanski, Y., Boucher, O., Ciais, P., Peñuelas, J., and Tao, S.: Significant contribution of
combustion-related emissions to the atmospheric phosphorus budget, Nat. Geosci., 8, 48–54, 2015.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation> Wu, H., Yuan, Z., Zhang, Y., Gao, L., and Liu, S.: Life-cycle phosphorus use efficiency of the farming system in Anhui
Province, Central China, Resour. Conserv. Recy., 83, 1–14, 2014.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation> Wu, L. and Ma, M.: The comprehensive utilization of animals' bone in China, Modern Food Sci. Tech., 83, 38–46, 2005 (in
Chinese).</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation> Xu, J., Liu, X., Wang, F., Zhang, F., Ma, W., and Ma, L.: Phosphorus balance and environmental effect of animal production
in China, Acta Ecol. Sinica, 11, 2911–2918, 2005 (in Chinese).</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>Global and regional phosphorus budgets in agricultural systems and their implications for phosphorus-use efficiency</article-title-html>
<abstract-html><p class="p">The application of phosphorus (P) fertilizer to agricultural soils increased
by 3.2 % annually from 2002 to 2010. We quantified in detail the P inputs
and outputs of cropland and pasture and the P fluxes through human and
livestock consumers of agricultural products on global, regional, and
national scales from 2002 to 2010. Globally, half of the total P inputs into
agricultural systems accumulated in agricultural soils during this period,
with the rest lost to bodies of water through complex flows. Global P
accumulation in agricultural soil increased from 2002 to 2010 despite
decreases in 2008 and 2009, and the P accumulation occurred primarily in
cropland. Despite the global increase in soil P, 32 % of the world's
cropland and 43 % of the pasture had soil P deficits. Increasing soil P
deficits were found for African cropland vs. increasing P accumulation in
eastern Asia. European and North American pasture had a soil P deficit
because the continuous removal of biomass P by grazing exceeded P inputs.
International trade played a significant role in P redistribution among
countries through the flows of P in fertilizer and food among countries.
Based on country-scale budgets and trends we propose policy options to
potentially mitigate regional P imbalances in agricultural soils,
particularly by optimizing the use of phosphate fertilizer and the recycling of
waste P. The trend of the increasing consumption of livestock products will
require more P inputs to the agricultural system, implying a low P-use
efficiency and aggravating P-stock scarcity in the future. The global and
regional phosphorus budgets and their PUEs in agricultural systems are
publicly available at <a href="https://doi.pangaea.de/10.1594/PANGAEA.875296" target="_blank">https://doi.pangaea.de/10.1594/PANGAEA.875296</a>.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation> Antikainen, R., Lemola, R., Nousiainen, J. I., Sokka, L., Esala, M., Huhtanen, P., and Rekolainen, S.: Stocks and flows of
nitrogen and phosphorus in the Finnish food production and consumption system, Agr. Ecosyst. Environ., 107, 287–305, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation> ASAE: Manure Production and Characteristics. D384.2, American Society of Agricultural Engineers, St. Joseph, MI, USA, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation> Bennett, E. M., Carpenter, S. R., and Caraco, N. F.: Human impact on erodable phosphorus and eutrophication: a global
perspective: increasing accumulation of phosphorus in soil threatens rivers, lakes, and coastal oceans with eutrophication,
BioScience, 51, 227–234, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation> Bouwman, A. F., Beusen, A. H., and Billen, G.: Human alteration of the global nitrogen and phosphorus soil balances for the
period 1970–2050, Global Biogeochem. Cy., 23, <a href="https://doi.org/10.1029/2009GB003576" target="_blank">https://doi.org/10.1029/2009GB003576</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation> Bouwman, L., Goldewijk, K. K., Van Der Hoek, K. W., Beusen, A. H., Van Vuuren, D. P., Willems, J., Rufino, M. C., and
Stehfest, E.: Exploring global changes in nitrogen and phosphorus cycles in agriculture induced by livestock production over the
1900–2050 period, P. Natl. Acad. Sci. USA, 110, 20882–20887, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation> Carpenter, S. R. and Bennett, E. M.: Reconsideration of the planetary boundary for phosphorus, Environ. Res. Lett., 6,
014009, <a href="https://doi.org/10.1088/1748-9326/6/1/014009" target="_blank">https://doi.org/10.1088/1748-9326/6/1/014009</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation> Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., and Smith, V. H.: Nonpoint pollution of
surface waters with phosphorus and nitrogen, Ecol. Appl., 8, 559–568, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation> Chang, J., Viovy, N., Vuichard, N., Ciais, P., Campioli, M., Klumpp, K., Matin, R., Leip, A., and Soussana, J. F.: Modeled
changes in potential grassland productivity and in ruminant livestock density in Europe over 1961–2010, PLOS ONE, 10,
e0127554, <a href="https://doi.org/10.1371/journal.pone.0127554" target="_blank">https://doi.org/10.1371/journal.pone.0127554</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation> Chang, J. F., Viovy, N., Vuichard, N., Ciais, P., Wang, T., Cozic, A., Lardy, R., Graux, A.-I., Klumpp, K., Martin, R., and
Soussana, J.-F.: Incorporating grassland management in ORCHIDEE: model description and evaluation at 11 eddy-covariance sites in
Europe, Geosci. Model Dev., 6, 2165–2181, <a href="https://doi.org/10.5194/gmd-6-2165-2013" target="_blank">https://doi.org/10.5194/gmd-6-2165-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation> COMIFER: Teneur en P, K et Mg des organes végétaux récoltés pour les cultures de plein champ et les
principaux fourrages, Comité Français d'Étude et de Développement de la Fertilisation Raisonneé, Paris, 2007 (in
French).
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation> Cordell, D., Drangert, J., and White, S.: The story of phosphorus: global food security and food for thought, Global
Environ. Chang., 19, 292–305, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation> Cordell, D., Neset, T. S., and Prior, T.: The phosphorus mass balance: identifying “hotspots” in the food system as
a roadmap to phosphorus security, Curr. Opin. Biotech., 23, 839–845, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation> Cordell, D., Jackson, M., and White, S.: Phosphorus flows through the Australian food system: identifying intervention
points as a roadmap to phosphorus security, Environ. Sci. Policy, 29, 87–102, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation> Dalin, C., Hanasaki, N., Qiu, H., Mauzerall, D. L., and Rodriguez-Iturbe, I.: Water resources transfers through Chinese
interprovincial and foreign food trade, P. Natl. Acad. Sci. USA, 111, 9774–9779, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation> Elser, J. and Bennett, E.: Phosphorus cycle: a broken biogeochemical cycle, Nature, 478, 29–31, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation> FAO: Fertilizer Use by Crop (5th Edition), Food and Agriculture Organization of the United Nations, Rome, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation> Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Muller, N. D., O'Connell, C.,
Ray, D. K., West, P. C., Balzer, C., Bennett, E. M., Carpenter, S. R., Hill, J., Monfreda, C., Polasky, S., Rockström, J.,
Sheehan, J., Siebert, S., Tilman, D., and Balzer, C.: Solutions for a cultivated planet, Nature, 478, 337–342, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation> Grote, U., Craswell, E., and Vlek, P.: Nutrient flows in international trade: ecology and policy issues,
Environ. Sci. Policy, 8, 439–451, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation> Herrero, M., Havlík, P., Valin, H., Notenbaert, A., Rufino, M. C., Thornton, P. K., Blümmelb, M., Weissc, F.,
Grace, D., and Obersteiner, M.: Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock
systems, P. Natl. Acad. Sci. USA, 110, 20888–20893, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation> Levington Agriculture: A Report for the European Fertiliser Manufacturers' Association. Levington Agriculture Ltd.,
Ipswich, UK, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation> Li, J.: The development and prospective of nutrition in livestock bones, Meat Ind., 322, 41–44, 2008 (in Chinese).
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation> Liu, Y., Villalba, G., Ayres, R. U., and Schroder, H.: Global phosphorus flows and environmental impacts from
a consumption perspective, J. Ind. Ecol., 12, 229–247, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation> Ma, W., Ma, L., Li, J., Wang, F., Sisák, I., and Zhang, F.: Phosphorus flows and use efficiencies in production and
consumption of wheat, rice, and maize in China, Chemosphere, 84, 814–821, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation> MacDonald, G. K., Bennett, E. M., Potter, P. A., and Ramankutty, N.: Agronomic phosphorus imbalances across the world's
croplands, P. Natl. Acad. Sci. USA, 108, 3086–3091, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation> Metson, G. S., Bennett, E. M., and Elser, J. J.: The role of diet in phosphorus demand, Environ. Res. Lett., 7,
044043, <a href="https://doi.org/10.1088/1748-9326/7/4/044043" target="_blank">https://doi.org/10.1088/1748-9326/7/4/044043</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation> MWPS-18: Livestock Waste Facilities Handbook, Midwest Plan Service, University of Missouri, Ames, IA, USA, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation> Obersteiner, M., Peñuelas, J., Ciais, P., Van Der Velde, M., and Janssens, I. A.: The phosphorus trilemma,
Nat. Geosci., 6, 897–898, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation> OECD: Secretariat National Soil Surface Nutrient Balances, 1985 to 1995. Explanatory Notes. Coefficients to Convert
Livestock Numbers Into Manure Nitrogen Quantities From National Sources, Organisation for Economic Cooperation and Development,
Paris, 1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation> Ott, C. and Rechberger, H.: The European phosphorus balance, Resour. Conserv. Recy., 60, 159–172, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation> Penuelas, J., Poulter, B., Sardans, J., Ciais, P., Van Der Velde, M., Bopp, L., Boucher, O., Godderis, Y., Hinsinger, P.,
Llusia, J., Nardin, E., Vicca, S., Obersteiner, M., and Nardin, E.: Human-induced nitrogen–phosphorus imbalances alter natural and
managed ecosystems across the globe, Nat. Commun., 4, 2934, <a href="https://doi.org/10.1088/1748-9326/7/4/044043" target="_blank">https://doi.org/10.1088/1748-9326/7/4/044043</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation> Potter, P., Ramankutty, N., Bennett, E. M., and Donner, S. D.: Characterizing the spatial patterns of global fertilizer
application and manure production, Earth Interact., 14, 1–22, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation> Quinton, J. N., Govers, G., Van Oost, K., and Bardgett, R. D.: The impact of agricultural soil erosion on biogeochemical
cycling, Nat. Geosci., 3, 311–314, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation> Ringeval, B., Nowak, B., Nesme, T., Delmas, M., and Pellerin, S.: Contribution of anthropogenic phosphorus to agricultural
soil fertility and food production, Global Biogeochem. Cy., 28, 743–756, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation> Sattari, S. Z., Bouwman, A. F., Giller, K. E., and van Ittersum, M. K.: Residual soil phosphorus as the missing piece in
the global phosphorus crisis puzzle, P. Natl. Acad. Sci. USA, 109, 6348–6353, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation> Schipanski, M. E. and Bennett, E. M.: The influence of agricultural trade and livestock production on the global
phosphorus cycle, Ecosystems, 15, 256–268, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation> Scholz, R. W., Ulrich, A. E., Eilittä, M., and Roy, A.: Sustainable use of phosphorus: a finite resource, Sci. Total
Environ., 461, 799–803, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation> Senthilkumar, K., Nesme, T., Mollier, A., and Pellerin, S.: Regional-scale phosphorus flows and budgets within France: the
importance of agricultural production systems, Nutr. Cycl. Agroecosys., 92, 145–159, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation> Sheldrick, W., Syers, J. K., and Lingard, J.: Contribution of livestock excreta to nutrient balances,
Nutr. Cycl. Agroecosys., 66, 119–131, 2003.

</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation> Smil, V.: Phosphorus in the environment: natural flows and human interferences, Annu. Rev. Mater. Sci., 25, 53–88, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation> Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R.,
de Vries, W., de Wit, C. A., Folke, C., Gerten, D., Heinke, J., Mace, G. M., Persson, L. M., Ramanathan, V., Reyers, B., and
Sörlin, S.: Planetary boundaries: guiding human development on a changing planet, Science, 347, 1259855, <a href="https://doi.org/10.1126/science.1259855" target="_blank">https://doi.org/10.1126/science.1259855</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation> Suh, S. and Yee, S.: Phosphorus use-efficiency of agriculture and food system in the US, Chemosphere, 84, 806–813, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation> USDA-NRCS: Crop Nutrient Tool: Nutrient Content of Crops. United States Department of Agriculture, Natural Resource
Conservation Service, Washington, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation> van Dijk, K. C., Lesschen, J. P., and Oenema, O.: Phosphorus flows and balances of the European Union Member States,
Sci. Total Environ., 542, 1078–1093, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation> Van Vuuren, D. P., Bouwman, A. F., and Beusen, A. H. W.: Phosphorus demand for the 1970–2100 period: a scenario analysis
of resource depletion, Global Environ. Chang., 20, 428–439, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation> Waller, J. C.: Byproducts and unusual feedstuffs, Feedstuffs, 9, 18–22, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation> Wang, R., Tao, S., Balkanski, Y., Ciais, P., Boucher, O., Liu, J., Piao, S., Shen, H., Vuoloc, M. R., Valarie, M.,
Chen, H., Chen, Y., Cozic, A., Huang, Y., Li, B., Li, W., Shen, G., Wang, B., and Zhang, Y.: Exposure to ambient black carbon derived
from a unique inventory and high-resolution model, P. Natl. Acad. Sci. USA, 111, 2459–2463, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation> Wang, R., Balkanski, Y., Boucher, O., Ciais, P., Peñuelas, J., and Tao, S.: Significant contribution of
combustion-related emissions to the atmospheric phosphorus budget, Nat. Geosci., 8, 48–54, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation> Wu, H., Yuan, Z., Zhang, Y., Gao, L., and Liu, S.: Life-cycle phosphorus use efficiency of the farming system in Anhui
Province, Central China, Resour. Conserv. Recy., 83, 1–14, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation> Wu, L. and Ma, M.: The comprehensive utilization of animals' bone in China, Modern Food Sci. Tech., 83, 38–46, 2005 (in
Chinese).
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation> Xu, J., Liu, X., Wang, F., Zhang, F., Ma, W., and Ma, L.: Phosphorus balance and environmental effect of animal production
in China, Acta Ecol. Sinica, 11, 2911–2918, 2005 (in Chinese).
</mixed-citation></ref-html>--></article>
