Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1745-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1745-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 Aug 2020
Data description paper |
| 06 Aug 2020
| 06 Aug 2020
Generalized models to estimate carbon and nitrogen stocks of organic soil horizons in Interior Alaska
Kristen Manies
CORRESPONDING AUTHOR
U.S. Geological Survey, 345 Middlefield Rd., Menlo Park, CA 94025, USA
Mark Waldrop
U.S. Geological Survey, 345 Middlefield Rd., Menlo Park, CA 94025, USA
Jennifer Harden
U.S. Geological Survey, 345 Middlefield Rd., Menlo Park, CA 94025, USA
Related authors
Anna Talucci, Michael M. Loranty, Jean E. Holloway, Brendan M. Rogers, Heather D. Alexander, Natalie Baillargeon, Jennifer L. Baltzer, Logan T. Berner, Amy Breen, Leya Brodt, Brian Buma, Jacqueline Dean, Clement J. F. Delcourt, Lucas R. Diaz, Catherine M. Dieleman, Thomas A. Douglas, Gerald V. Frost, Benjamin V. Gaglioti, Rebecca E. Hewitt, Teresa Hollingsworth, M. Torre Jorgenson, Mark J. Lara, Rachel A. Loehman, Michelle C. Mack, Kristen L. Manies, Christina Minions, Susan M. Natali, Jonathan A. O'Donnell, David Olefeldt, Alison K. Paulson, Adrian V. Rocha, Lisa B. Saperstein, Tatiana A. Shestakova, Seeta Sistla, Oleg Sizov, Andrey Soromotin, Merritt R. Turetsky, Sander Veraverbeke, and Michelle A. Walvoord
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-526, https://doi.org/10.5194/essd-2024-526, 2024
Preprint under review for ESSD
Short summary
Short summary
Wildfires have the potential to accelerate permafrost thaw and the associated feedbacks to climate change. We assembled a data set of permafrost thaw depth measurements from burned and unburned sites contributed by researchers from across the northern high latitude region. We estimated maximum thaw depth for each measurement, which addresses a key challenge: the ability to assess impacts of wildfire on maximum thaw depth when measurement timing varies.
David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
Short summary
Short summary
Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Kristen L. Manies, Jennifer W. Harden, Christopher C. Fuller, and Merritt R. Turetsky
Biogeosciences, 13, 4315–4327, https://doi.org/10.5194/bg-13-4315-2016, https://doi.org/10.5194/bg-13-4315-2016, 2016
Short summary
Short summary
Boreal soils are important to the global C cycle. We need to understand what controls how C accumulates and is lost from this soil. To help we examined C & N accumulation rates for five boreal ecosystems. Most ecosystems were similar. But the rich fen had higher long-term C & N accumulation rates, likely due to differences in nutrient cycling & because it burns less. Therefore, shifts among ecosystems will not change regional C & N dynamics much, unless there is a shift to or from a rich fen.
Anna Talucci, Michael M. Loranty, Jean E. Holloway, Brendan M. Rogers, Heather D. Alexander, Natalie Baillargeon, Jennifer L. Baltzer, Logan T. Berner, Amy Breen, Leya Brodt, Brian Buma, Jacqueline Dean, Clement J. F. Delcourt, Lucas R. Diaz, Catherine M. Dieleman, Thomas A. Douglas, Gerald V. Frost, Benjamin V. Gaglioti, Rebecca E. Hewitt, Teresa Hollingsworth, M. Torre Jorgenson, Mark J. Lara, Rachel A. Loehman, Michelle C. Mack, Kristen L. Manies, Christina Minions, Susan M. Natali, Jonathan A. O'Donnell, David Olefeldt, Alison K. Paulson, Adrian V. Rocha, Lisa B. Saperstein, Tatiana A. Shestakova, Seeta Sistla, Oleg Sizov, Andrey Soromotin, Merritt R. Turetsky, Sander Veraverbeke, and Michelle A. Walvoord
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-526, https://doi.org/10.5194/essd-2024-526, 2024
Preprint under review for ESSD
Short summary
Short summary
Wildfires have the potential to accelerate permafrost thaw and the associated feedbacks to climate change. We assembled a data set of permafrost thaw depth measurements from burned and unburned sites contributed by researchers from across the northern high latitude region. We estimated maximum thaw depth for each measurement, which addresses a key challenge: the ability to assess impacts of wildfire on maximum thaw depth when measurement timing varies.
Kailiang Yu, Johan van den Hoogen, Zhiqiang Wang, Colin Averill, Devin Routh, Gabriel Reuben Smith, Rebecca E. Drenovsky, Kate M. Scow, Fei Mo, Mark P. Waldrop, Yuanhe Yang, Weize Tang, Franciska T. De Vries, Richard D. Bardgett, Peter Manning, Felipe Bastida, Sara G. Baer, Elizabeth M. Bach, Carlos García, Qingkui Wang, Linna Ma, Baodong Chen, Xianjing He, Sven Teurlincx, Amber Heijboer, James A. Bradley, and Thomas W. Crowther
Earth Syst. Sci. Data, 14, 4339–4350, https://doi.org/10.5194/essd-14-4339-2022, https://doi.org/10.5194/essd-14-4339-2022, 2022
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We used a global-scale dataset for the surface topsoil (>3000 distinct observations of abundance of soil fungi versus bacteria) to generate the first quantitative map of soil fungal proportion across terrestrial ecosystems. We reveal striking latitudinal trends. Fungi dominated in regions with low mean annual temperature (MAT) and net primary productivity (NPP) and bacteria dominated in regions with high MAT and NPP.
Katherine E. O. Todd-Brown, Rose Z. Abramoff, Jeffrey Beem-Miller, Hava K. Blair, Stevan Earl, Kristen J. Frederick, Daniel R. Fuka, Mario Guevara Santamaria, Jennifer W. Harden, Katherine Heckman, Lillian J. Heran, James R. Holmquist, Alison M. Hoyt, David H. Klinges, David S. LeBauer, Avni Malhotra, Shelby C. McClelland, Lucas E. Nave, Katherine S. Rocci, Sean M. Schaeffer, Shane Stoner, Natasja van Gestel, Sophie F. von Fromm, and Marisa L. Younger
Biogeosciences, 19, 3505–3522, https://doi.org/10.5194/bg-19-3505-2022, https://doi.org/10.5194/bg-19-3505-2022, 2022
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Research data are becoming increasingly available online with tantalizing possibilities for reanalysis. However harmonizing data from different sources remains challenging. Using the soils community as an example, we walked through the various strategies that researchers currently use to integrate datasets for reanalysis. We find that manual data transcription is still extremely common and that there is a critical need for community-supported informatics tools like vocabularies and ontologies.
David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
Short summary
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Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020, https://doi.org/10.5194/essd-12-61-2020, 2020
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The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or
whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Jennifer W. Harden, Jonathan A. O'Donnell, Katherine A. Heckman, Benjamin N. Sulman, Charles D. Koven, Chien-Lu Ping, and Gary J. Michaelson
SOIL Discuss., https://doi.org/10.5194/soil-2018-41, https://doi.org/10.5194/soil-2018-41, 2019
Revised manuscript not accepted
Short summary
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We examined changes in soil carbon (C) associated with permafrost thaw, warming, and ecosystem shifts using a space-for-time study. Soil C turnover was estimated for soil C fractions using soil C and radiocarbon data. Observations informed a simple model to track soil C change over time. Both losses and gains of soil C occur in the profile due to shifts in C among density-separated fractions. Thawing initially resulted in C gains to mineral soil and eventually C losses as warming persists.
Kristen L. Manies, Jennifer W. Harden, Christopher C. Fuller, and Merritt R. Turetsky
Biogeosciences, 13, 4315–4327, https://doi.org/10.5194/bg-13-4315-2016, https://doi.org/10.5194/bg-13-4315-2016, 2016
Short summary
Short summary
Boreal soils are important to the global C cycle. We need to understand what controls how C accumulates and is lost from this soil. To help we examined C & N accumulation rates for five boreal ecosystems. Most ecosystems were similar. But the rich fen had higher long-term C & N accumulation rates, likely due to differences in nutrient cycling & because it burns less. Therefore, shifts among ecosystems will not change regional C & N dynamics much, unless there is a shift to or from a rich fen.
Related subject area
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A China dataset of soil properties for land surface modeling (version 2)
BIS-4D: mapping soil properties and their uncertainties at 25 m resolution in the Netherlands
European topsoil bulk density and organic carbon stock database (0–20 cm) using machine-learning-based pedotransfer functions
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability
The patterns of soil nitrogen stocks and C : N stoichiometry under impervious surfaces in China
Mapping of peatlands in the forested landscape of Sweden using lidar-based terrain indices
Harmonized Soil Database of Ecuador (HESD): data from 2009 to 2015
ChinaCropSM1 km: a fine 1 km daily soil moisture dataset for dryland wheat and maize across China during 1993–2018
Colombian soil texture: building a spatial ensemble model
SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022
A high spatial resolution soil carbon and nitrogen dataset for the northern permafrost region based on circumpolar land cover upscaling
A repository of measured soil freezing characteristic curves: 1921 to 2021
A compiled soil respiration dataset at different time scales for forest ecosystems across China from 2000 to 2018
New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau
An hourly ground temperature dataset for 16 high-elevation sites (3493–4377 m a.s.l.) in the Bale Mountains, Ethiopia (2017–2020)
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The Boreal–Arctic Wetland and Lake Dataset (BAWLD)
A first investigation of hydrogeology and hydrogeophysics of the Maqu catchment in the Yellow River source region
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Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019
EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia
An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018
A new dataset of soil carbon and nitrogen stocks and profiles from an instrumented Greenlandic fen designed to evaluate land-surface models
Spatial radionuclide deposition data from the 60 km radial area around the Chernobyl Nuclear Power Plant: results from a sampling survey in 1987
Soil moisture and matric potential – an open field comparison of sensor systems
CHLSOC: the Chilean Soil Organic Carbon database, a multi-institutional collaborative effort
An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0
Analysis of soil hydraulic and thermal properties for land surface modeling over the Tibetan Plateau
Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone
A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves
WoSIS: providing standardised soil profile data for the world
Post-Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain
A new data set for estimating organic carbon storage to 3 m depth in soils of the northern circumpolar permafrost region
The Northern Circumpolar Soil Carbon Database: spatially distributed datasets of soil coverage and soil carbon storage in the northern permafrost regions
Xiaoying Li, Huijun Jin, Qi Feng, Qingbai Wu, Hongwei Wang, Ruixia He, Dongliang Luo, Xiaoli Chang, Raul-David Şerban, and Tao Zhan
Earth Syst. Sci. Data, 16, 5009–5026, https://doi.org/10.5194/essd-16-5009-2024, https://doi.org/10.5194/essd-16-5009-2024, 2024
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In Northeast China, the permafrost is more sensitive to climate warming and fire disturbances than the boreal and Arctic permafrost. Since 2016, a continuous ground hydrothermal regime and soil nutrient content observation system has been gradually established in Northeast China. The integrated dataset includes soil moisture content, soil organic carbon, total nitrogen, total phosphorus, total potassium, ground temperatures at depths of 0–20 m, and active layer thickness from 2016 to 2022.
Niels H. Batjes, Luis Calisto, and Luis M. de Sousa
Earth Syst. Sci. Data, 16, 4735–4765, https://doi.org/10.5194/essd-16-4735-2024, https://doi.org/10.5194/essd-16-4735-2024, 2024
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Soils are an important provider of ecosystem services. This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at a broad scale. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present three measures to assess "fitness for intended use" of the standardised data.
Gaosong Shi, Wenye Sun, Wei Shangguan, Zhongwang Wei, Hua Yuan, Ye Zhang, Hongbin Liang, Lu Li, Xiaolin Sun, Danxi Li, Feini Huang, Qingliang Li, and Yongjiu Dai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-299, https://doi.org/10.5194/essd-2024-299, 2024
Revised manuscript accepted for ESSD
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In this study, we developed the second version of China's high-resolution soil information grid using legacy soil samples and advanced machine learning. This version predicts over 20 soil properties at six depths, providing accurate soil variation maps across China. It outperforms previous versions and global products, offering valuable data for hydrological, ecological analyses, and earth system modeling, enhancing understanding of soil roles in environmental processes.
Anatol Helfenstein, Vera L. Mulder, Mirjam J. D. Hack-ten Broeke, Maarten van Doorn, Kees Teuling, Dennis J. J. Walvoort, and Gerard B. M. Heuvelink
Earth Syst. Sci. Data, 16, 2941–2970, https://doi.org/10.5194/essd-16-2941-2024, https://doi.org/10.5194/essd-16-2941-2024, 2024
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Earth system models and decision support systems greatly benefit from high-resolution soil information with quantified accuracy. Here we introduce BIS-4D, a statistical modeling platform that predicts nine essential soil properties and their uncertainties at 25 m resolution in surface 2 m across the Netherlands. Using machine learning informed by up to 856 000 soil observations coupled with 366 spatially explicit environmental variables, prediction accuracy was the highest for clay, sand and pH.
Songchao Chen, Zhongxing Chen, Xianglin Zhang, Zhongkui Luo, Calogero Schillaci, Dominique Arrouays, Anne Christine Richer-de-Forges, and Zhou Shi
Earth Syst. Sci. Data, 16, 2367–2383, https://doi.org/10.5194/essd-16-2367-2024, https://doi.org/10.5194/essd-16-2367-2024, 2024
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A new dataset for topsoil bulk density (BD) and soil organic carbon (SOC) stock (0–20 cm) across Europe using machine learning was generated. The proposed approach performed better in BD prediction and slightly better in SOC stock prediction than earlier-published PTFs. The outcomes present a meaningful advancement in enhancing the accuracy of BD, and the resultant topsoil BD and SOC stock datasets across Europe enable more precise soil hydrological and biological modeling.
Sergio Díaz-Guadarrama, Viviana M. Varón-Ramírez, Iván Lizarazo, Mario Guevara, Marcos Angelini, Gustavo A. Araujo-Carrillo, Jainer Argeñal, Daphne Armas, Rafael A. Balta, Adriana Bolivar, Nelson Bustamante, Ricardo O. Dart, Martin Dell Acqua, Arnulfo Encina, Hernán Figueredo, Fernando Fontes, Joan S. Gutiérrez-Díaz, Wilmer Jiménez, Raúl S. Lavado, Jesús F. Mansilla-Baca, Maria de Lourdes Mendonça-Santos, Lucas M. Moretti, Iván D. Muñoz, Carolina Olivera, Guillermo Olmedo, Christian Omuto, Sol Ortiz, Carla Pascale, Marco Pfeiffer, Iván A. Ramos, Danny Ríos, Rafael Rivera, Lady M. Rodriguez, Darío M. Rodríguez, Albán Rosales, Kenset Rosales, Guillermo Schulz, Víctor Sevilla, Leonardo M. Tenti, Ronald Vargas, Gustavo M. Vasques, Yusuf Yigini, and Yolanda Rubiano
Earth Syst. Sci. Data, 16, 1229–1246, https://doi.org/10.5194/essd-16-1229-2024, https://doi.org/10.5194/essd-16-1229-2024, 2024
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In this work, the Latin America and Caribbean Soil Information System (SISLAC) database (https://54.229.242.119/sislac/es) was revised to generate an improved version of the data. Rules for data enhancement were defined. In addition, other datasets available in the region were included. Subsequently, through a principal component analysis (PCA), the main soil characteristics for the region were analyzed. We hope this dataset can help mitigate problems such as food security and global warming.
Qian Ding, Hua Shao, Chi Zhang, and Xia Fang
Earth Syst. Sci. Data, 15, 4599–4612, https://doi.org/10.5194/essd-15-4599-2023, https://doi.org/10.5194/essd-15-4599-2023, 2023
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A soil survey in 41 Chinese cities showed the soil nitrogen (N) in impervious surface areas (ISA; NISA) was 0.59±0.35 kg m−2, lower than in pervious soils. Eastern China had the highest NISA but the lowest natural soil N in China. Soil N decreased linearly with depth in ISA but nonlinearly in natural ecosystems. Temperature was negatively correlated with C : NISA but positively correlated with natural soil C : N. The unique NISA patterns imply intensive disturbance in N cycle by soil sealing.
Lukas Rimondini, Thomas Gumbricht, Anders Ahlström, and Gustaf Hugelius
Earth Syst. Sci. Data, 15, 3473–3482, https://doi.org/10.5194/essd-15-3473-2023, https://doi.org/10.5194/essd-15-3473-2023, 2023
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Peatlands have historically sequestrated large amounts of carbon and contributed to atmospheric cooling. However, human activities and climate change may instead turn them into considerable carbon emitters. In this study, we produced high-quality maps showing the extent of peatlands in the forests of Sweden, one of the most peatland-dense countries in the world. The maps are publicly available and may be used to support work promoting sustainable peatland management and combat their degradation.
Daphne Armas, Mario Guevara, Fernando Bezares, Rodrigo Vargas, Pilar Durante, Víctor Osorio, Wilmer Jiménez, and Cecilio Oyonarte
Earth Syst. Sci. Data, 15, 431–445, https://doi.org/10.5194/essd-15-431-2023, https://doi.org/10.5194/essd-15-431-2023, 2023
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The global need for updated soil datasets has increased. Our main objective was to synthesize and harmonize soil profile information collected by two different projects in Ecuador between 2009 and 2015.The main result was the development of the Harmonized Soil Database of Ecuador (HESD) that includes information from 13 542 soil profiles with over 51 713 measured soil horizons, including 92 different edaphic variables, and follows international standards for archiving and sharing soil data.
Fei Cheng, Zhao Zhang, Huimin Zhuang, Jichong Han, Yuchuan Luo, Juan Cao, Liangliang Zhang, Jing Zhang, Jialu Xu, and Fulu Tao
Earth Syst. Sci. Data, 15, 395–409, https://doi.org/10.5194/essd-15-395-2023, https://doi.org/10.5194/essd-15-395-2023, 2023
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We generated a 1 km daily soil moisture dataset for dryland wheat and maize across China (ChinaCropSM1 km) over 1993–2018 through random forest regression, based on in situ observations. Our improved products have a remarkably better quality compared with the public global products in terms of both spatial and time dimensions by integrating an irrigation module (crop type, phenology, soil depth). The dataset may be useful for agriculture drought monitoring and crop yield forecasting studies.
Viviana Marcela Varón-Ramírez, Gustavo Alfonso Araujo-Carrillo, and Mario Antonio Guevara Santamaría
Earth Syst. Sci. Data, 14, 4719–4741, https://doi.org/10.5194/essd-14-4719-2022, https://doi.org/10.5194/essd-14-4719-2022, 2022
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These are the first national soil texture maps obtained via digital soil mapping. We built clay, sand, and silt maps using spatial assembling with the best possible predictions at different depths. Also, we identified the better model for each pixel. This work was done to address the lack of soil texture maps in Colombia, and it can provide soil information for water-related applications, ecosystem services, and agricultural and crop modeling.
Qiang Zhang, Qiangqiang Yuan, Taoyong Jin, Meiping Song, and Fujun Sun
Earth Syst. Sci. Data, 14, 4473–4488, https://doi.org/10.5194/essd-14-4473-2022, https://doi.org/10.5194/essd-14-4473-2022, 2022
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Compared to previous seamless global daily soil moisture (SGD-SM 1.0) products, SGD-SM 2.0 enlarges the temporal scope from 2002 to 2022. By fusing auxiliary precipitation information with the long short-term memory convolutional neural network (LSTM-CNN) model, SGD-SM 2.0 can consider sudden extreme weather conditions for 1 d in global daily soil moisture products and is significant for full-coverage global daily hydrologic monitoring, rather than averaging monthly–quarterly–yearly results.
Juri Palmtag, Jaroslav Obu, Peter Kuhry, Andreas Richter, Matthias B. Siewert, Niels Weiss, Sebastian Westermann, and Gustaf Hugelius
Earth Syst. Sci. Data, 14, 4095–4110, https://doi.org/10.5194/essd-14-4095-2022, https://doi.org/10.5194/essd-14-4095-2022, 2022
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The northern permafrost region covers 22 % of the Northern Hemisphere and holds almost twice as much carbon as the atmosphere. This paper presents data from 651 soil pedons encompassing more than 6500 samples from 16 different study areas across the northern permafrost region. We use this dataset together with ESA's global land cover dataset to estimate soil organic carbon and total nitrogen storage up to 300 cm soil depth, with estimated values of 813 Pg for carbon and 55 Pg for nitrogen.
Élise G. Devoie, Stephan Gruber, and Jeffrey M. McKenzie
Earth Syst. Sci. Data, 14, 3365–3377, https://doi.org/10.5194/essd-14-3365-2022, https://doi.org/10.5194/essd-14-3365-2022, 2022
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Soil freezing characteristic curves (SFCCs) relate the temperature of a soil to its ice content. SFCCs are needed in all physically based numerical models representing freezing and thawing soils, and they affect the movement of water in the subsurface, biogeochemical processes, soil mechanics, and ecology. Over a century of SFCC data exist, showing high variability in SFCCs based on soil texture, water content, and other factors. This repository summarizes all available SFCC data and metadata.
Hongru Sun, Zhenzhu Xu, and Bingrui Jia
Earth Syst. Sci. Data, 14, 2951–2961, https://doi.org/10.5194/essd-14-2951-2022, https://doi.org/10.5194/essd-14-2951-2022, 2022
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We compiled a new soil respiration (Rs) database of China's forests from 568 studies published up to 2018. The hourly, monthly, and annual samples were 8317, 5003, and 634, respectively. Most of the Rs data are shown in figures but were seldom exploited. For the first time, these data were digitized, accounting for 82 % of samples. Rs measured with common methods was selected (Li-6400, Li-8100, Li-8150, gas chromatography) and showed small differences of ~10 %. Bamboo had the highest Rs.
Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li, and Yun Xie
Earth Syst. Sci. Data, 14, 2681–2695, https://doi.org/10.5194/essd-14-2681-2022, https://doi.org/10.5194/essd-14-2681-2022, 2022
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We reconstructed the first annual rainfall erosivity dataset for the Tibetan Plateau in China. The dataset covers 71 years in a 0.25° grid. The reanalysis precipitation data are employed in combination with the densely spaced in situ precipitation observations to generate the dataset. The dataset can supply fundamental data for quantifying the water erosion, and extend our knowledge of the rainfall-related hazard prediction on the Tibetan Plateau.
Alexander R. Groos, Janik Niederhauser, Bruk Lemma, Mekbib Fekadu, Wolfgang Zech, Falk Hänsel, Luise Wraase, Naki Akçar, and Heinz Veit
Earth Syst. Sci. Data, 14, 1043–1062, https://doi.org/10.5194/essd-14-1043-2022, https://doi.org/10.5194/essd-14-1043-2022, 2022
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Continuous observations and measurements from high elevations are necessary to monitor recent climate and environmental changes in the tropical mountains of eastern Africa, but meteorological and ground temperature data from above 3000 m are very rare. Here we present a comprehensive ground temperature monitoring network that has been established between 3493 and 4377 m in the Bale Mountains (Ethiopian Highlands) to monitor and study the afro-alpine climate and ecosystem in this region.
Tianyu Yue, Shuiqing Yin, Yun Xie, Bofu Yu, and Baoyuan Liu
Earth Syst. Sci. Data, 14, 665–682, https://doi.org/10.5194/essd-14-665-2022, https://doi.org/10.5194/essd-14-665-2022, 2022
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This paper provides new rainfall erosivity maps over mainland China based on hourly data from 2381 stations (available at https://doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001). The improvement from the previous work was also assessed. The improvement in the R-factor map occurred mainly in the western region, because of an increase in the number of stations and an increased temporal resolution from daily to hourly data.
David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
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Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Mengna Li, Yijian Zeng, Maciek W. Lubczynski, Jean Roy, Lianyu Yu, Hui Qian, Zhenyu Li, Jie Chen, Lei Han, Han Zheng, Tom Veldkamp, Jeroen M. Schoorl, Harrie-Jan Hendricks Franssen, Kai Hou, Qiying Zhang, Panpan Xu, Fan Li, Kai Lu, Yulin Li, and Zhongbo Su
Earth Syst. Sci. Data, 13, 4727–4757, https://doi.org/10.5194/essd-13-4727-2021, https://doi.org/10.5194/essd-13-4727-2021, 2021
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The Tibetan Plateau is the source of most of Asia's major rivers and has been called the Asian Water Tower. Due to its remoteness and the harsh environment, there is a lack of field survey data to investigate its hydrogeology. Borehole core lithology analysis, an altitude survey, soil thickness measurement, hydrogeological surveys, and hydrogeophysical surveys were conducted in the Maqu catchment within the Yellow River source region to improve a full–picture understanding of the water cycle.
Olivier Evrard, Caroline Chartin, J. Patrick Laceby, Yuichi Onda, Yoshifumi Wakiyama, Atsushi Nakao, Olivier Cerdan, Hugo Lepage, Hugo Jaegler, Rosalie Vandromme, Irène Lefèvre, and Philippe Bonté
Earth Syst. Sci. Data, 13, 2555–2560, https://doi.org/10.5194/essd-13-2555-2021, https://doi.org/10.5194/essd-13-2555-2021, 2021
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This dataset provides an original compilation of radioactive dose rates and artificial radionuclide activities in sediment deposited after floods in the rivers draining the main radioactive pollution plume in Fukushuma, Japan, between November
2011 and November 2020. In total, 782 sediment samples collected from 27 to 71 locations during 16 fieldwork campaigns were analysed. This provides a unique post-accidental dataset to better understand the environmental fate of radionuclides.
Qiang Zhang, Qiangqiang Yuan, Jie Li, Yuan Wang, Fujun Sun, and Liangpei Zhang
Earth Syst. Sci. Data, 13, 1385–1401, https://doi.org/10.5194/essd-13-1385-2021, https://doi.org/10.5194/essd-13-1385-2021, 2021
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Acquired daily soil moisture products are always incomplete globally (just about 30 %–80 % coverage ratio) due to the satellite orbit coverage and the limitations of soil moisture retrieval algorithms. To solve this inevitable problem, we generate long-term seamless global daily (SGD) AMSR2 soil moisture productions from 2013 to 2019. These productions are significant for full-coverage global daily hydrologic monitoring, rather than averaging as the monthly–quarter–yearly results.
Alexander Kmoch, Arno Kanal, Alar Astover, Ain Kull, Holger Virro, Aveliina Helm, Meelis Pärtel, Ivika Ostonen, and Evelyn Uuemaa
Earth Syst. Sci. Data, 13, 83–97, https://doi.org/10.5194/essd-13-83-2021, https://doi.org/10.5194/essd-13-83-2021, 2021
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The Soil Map of Estonia is the most detailed and information-rich dataset for soils in Estonia. But its information is not immediately usable for analyses or modelling. We derived parameters including soil layering, soil texture (clay, silt, and sand content), coarse fragments, and rock content and aggregated and predicted physical variables related to water and carbon cycles (bulk density, hydraulic conductivity, organic carbon content, available water capacity).
Yongzhe Chen, Xiaoming Feng, and Bojie Fu
Earth Syst. Sci. Data, 13, 1–31, https://doi.org/10.5194/essd-13-1-2021, https://doi.org/10.5194/essd-13-1-2021, 2021
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Soil moisture can greatly influence the ecosystem but is hard to monitor at the global scale. By calibrating and combining 11 different products derived from satellite observation, we developed a new global surface soil moisture dataset spanning from 2003 to 2018 with high accuracy. Using this new dataset, not only can the global long-term trends be derived, but also the seasonal variation and spatial distribution of surface soil moisture at different latitudes can be better studied.
Xavier Morel, Birger Hansen, Christine Delire, Per Ambus, Mikhail Mastepanov, and Bertrand Decharme
Earth Syst. Sci. Data, 12, 2365–2380, https://doi.org/10.5194/essd-12-2365-2020, https://doi.org/10.5194/essd-12-2365-2020, 2020
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Nuuk fen site is a well-instrumented Greenlandic site where soil physical variables and greenhouse gas fluxes are monitored. But knowledge of soil carbon stocks and profiles is missing. This is a crucial shortcoming for a complete evaluation of models. For the first time we measured soil carbon and nitrogen density, profiles, and stocks in the Nuuk peatland. This new dataset can contribute to further develop joint modeling of greenhouse gas emissions and soil carbon in land-surface models.
Valery Kashparov, Sviatoslav Levchuk, Marina Zhurba, Valentyn Protsak, Nicholas A. Beresford, and Jacqueline S. Chaplow
Earth Syst. Sci. Data, 12, 1861–1875, https://doi.org/10.5194/essd-12-1861-2020, https://doi.org/10.5194/essd-12-1861-2020, 2020
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Sampling and analysis methodology and spatial radionuclide deposition data from the 60 km area around the Chernobyl Nuclear Power Plant, sampled in 1987 by the Ukrainian Institute of Agricultural Radiology, are useful for reconstructing doses to human and wildlife populations, answering the current lack of scientific consensus on the effects of radiation on wildlife in the Chernobyl Exclusion Zone and evaluating future management options for the Chernobyl-impacted areas of Ukraine and Belarus.
Conrad Jackisch, Kai Germer, Thomas Graeff, Ines Andrä, Katrin Schulz, Marcus Schiedung, Jaqueline Haller-Jans, Jonas Schneider, Julia Jaquemotte, Philipp Helmer, Leander Lotz, Andreas Bauer, Irene Hahn, Martin Šanda, Monika Kumpan, Johann Dorner, Gerrit de Rooij, Stefan Wessel-Bothe, Lorenz Kottmann, Siegfried Schittenhelm, and Wolfgang Durner
Earth Syst. Sci. Data, 12, 683–697, https://doi.org/10.5194/essd-12-683-2020, https://doi.org/10.5194/essd-12-683-2020, 2020
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Soil water content and matric potential are central hydrological state variables. A large variety of automated probes and sensor systems for field monitoring exist. In a field experiment under idealised conditions we compared 15 systems for soil moisture and 14 systems for matric potential. The individual records of one system agree well with the others. Most records are also plausible. However, the absolute values of the different measuring systems span a very large range of possible truths.
Marco Pfeiffer, José Padarian, Rodrigo Osorio, Nelson Bustamante, Guillermo Federico Olmedo, Mario Guevara, Felipe Aburto, Francisco Albornoz, Monica Antilén, Elías Araya, Eduardo Arellano, Maialen Barret, Juan Barrera, Pascal Boeckx, Margarita Briceño, Sally Bunning, Lea Cabrol, Manuel Casanova, Pablo Cornejo, Fabio Corradini, Gustavo Curaqueo, Sebastian Doetterl, Paola Duran, Mauricio Escudey, Angelina Espinoza, Samuel Francke, Juan Pablo Fuentes, Marcel Fuentes, Gonzalo Gajardo, Rafael García, Audrey Gallaud, Mauricio Galleguillos, Andrés Gomez, Marcela Hidalgo, Jorge Ivelic-Sáez, Lwando Mashalaba, Francisco Matus, Francisco Meza, Maria de la Luz Mora, Jorge Mora, Cristina Muñoz, Pablo Norambuena, Carolina Olivera, Carlos Ovalle, Marcelo Panichini, Aníbal Pauchard, Jorge F. Pérez-Quezada, Sergio Radic, José Ramirez, Nicolás Riveras, Germán Ruiz, Osvaldo Salazar, Iván Salgado, Oscar Seguel, Maria Sepúlveda, Carlos Sierra, Yasna Tapia, Francisco Tapia, Balfredo Toledo, José Miguel Torrico, Susana Valle, Ronald Vargas, Michael Wolff, and Erick Zagal
Earth Syst. Sci. Data, 12, 457–468, https://doi.org/10.5194/essd-12-457-2020, https://doi.org/10.5194/essd-12-457-2020, 2020
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The CHLSOC database is the biggest soil organic carbon (SOC) database that has been compiled for Chile yet, comprising 13 612 data points. This database is the product of the compilation of numerous sources including unpublished and difficult-to-access data, allowing us to fill numerous spatial gaps where no SOC estimates were publicly available before. The values of SOC compiled in CHLSOC have a wide range, reflecting the variety of ecosystems that exists in Chile.
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020, https://doi.org/10.5194/essd-12-61-2020, 2020
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The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or
whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Hong Zhao, Yijian Zeng, Shaoning Lv, and Zhongbo Su
Earth Syst. Sci. Data, 10, 1031–1061, https://doi.org/10.5194/essd-10-1031-2018, https://doi.org/10.5194/essd-10-1031-2018, 2018
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The Tibet-Obs soil properties dataset was compiled based on in situ and laboratory measurements of soil profiles across three climate zones on the Tibetan Plateau. The appropriate parameterization schemes of soil hydraulic and thermal properties were discussed for their applicability in land surface modeling. The uncertainties of existing soil datasets were evaluated. This paper contributes to land surface modeling and hydro-climatology communities for their studies of the third pole region.
Valery Kashparov, Sviatoslav Levchuk, Marina Zhurba, Valentyn Protsak, Yuri Khomutinin, Nicholas A. Beresford, and Jacqueline S. Chaplow
Earth Syst. Sci. Data, 10, 339–353, https://doi.org/10.5194/essd-10-339-2018, https://doi.org/10.5194/essd-10-339-2018, 2018
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Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone describe data from analysis of samples collected by the Ukrainian Institute of Agricultural Radiology after the Chernobyl nuclear accident between May 1986 and 2014 at sites inside the Chernobyl Exclusion Zone and other areas of interest. The data and supporting documentation are freely available from the Environmental Information Data Centre: https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf.
Carsten Montzka, Michael Herbst, Lutz Weihermüller, Anne Verhoef, and Harry Vereecken
Earth Syst. Sci. Data, 9, 529–543, https://doi.org/10.5194/essd-9-529-2017, https://doi.org/10.5194/essd-9-529-2017, 2017
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Global climate models require adequate parameterization of soil hydraulic properties, but typical resampling to the model grid introduces uncertainties. Here we present a method to scale hydraulic parameters to individual model grids and provide a global data set that overcomes the problems. It preserves the information of sub-grid variability of the water retention curve by deriving local scaling parameters that enables modellers to perturb hydraulic parameters for model ensemble generation.
Niels H. Batjes, Eloi Ribeiro, Ad van Oostrum, Johan Leenaars, Tom Hengl, and Jorge Mendes de Jesus
Earth Syst. Sci. Data, 9, 1–14, https://doi.org/10.5194/essd-9-1-2017, https://doi.org/10.5194/essd-9-1-2017, 2017
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Soil is an important provider of ecosystem services. Yet this natural resource is being threatened. Professionals, scientists, and decision makers require quality-assessed soil data to address issues such as food security, land degradation, and climate change. Procedures for safeguarding, standardising, and subsequently serving of consistent soil data to underpin broad-scale mapping and modelling are described. The data are freely accessible at doi:10.17027/isric-wdcsoils.20160003.
J. S. Chaplow, N. A. Beresford, and C. L. Barnett
Earth Syst. Sci. Data, 7, 215–221, https://doi.org/10.5194/essd-7-215-2015, https://doi.org/10.5194/essd-7-215-2015, 2015
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The data set ‘Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain’ was developed to enable data collected by the Natural Environment Research Council after the Chernobyl accident to be made publicly available. Data for samples collected between May 1986 (immediately after Chernobyl) to spring 1997 are freely available for non-commercial use under Open Government Licence terms and conditions. doi: 10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251.
G. Hugelius, J. G. Bockheim, P. Camill, B. Elberling, G. Grosse, J. W. Harden, K. Johnson, T. Jorgenson, C. D. Koven, P. Kuhry, G. Michaelson, U. Mishra, J. Palmtag, C.-L. Ping, J. O'Donnell, L. Schirrmeister, E. A. G. Schuur, Y. Sheng, L. C. Smith, J. Strauss, and Z. Yu
Earth Syst. Sci. Data, 5, 393–402, https://doi.org/10.5194/essd-5-393-2013, https://doi.org/10.5194/essd-5-393-2013, 2013
G. Hugelius, C. Tarnocai, G. Broll, J. G. Canadell, P. Kuhry, and D. K. Swanson
Earth Syst. Sci. Data, 5, 3–13, https://doi.org/10.5194/essd-5-3-2013, https://doi.org/10.5194/essd-5-3-2013, 2013
Cited articles
Bates, D., Maechler, M., Bolker, B., and Walker, S.: Fitting Linear
Mixed-Effects Models Using lme4, J. Stat. Softw., 67, 1–48,
https://doi.org/10.18637/jss.v067.i01, 2015.
Bauer, I. E., Bhatti, J. S., Cash, K. J., Tarnocai, C., and Robinson, S. D.:
Developing Statistical Models to Estimate the Carbon Density of Organic
Soils, Can. J. Soil Sci., 86, 295–304, 2006.
Bonan, G. B.: Carbon and Nitrogen Cycling in North American Boreal Forests.
I. Litter Quality and Soil Thermal Effects in Interior Alaska,
Biogeochemistry, 10, 1–28, 1990.
Bradshaw, C. J. A. and Warkentin, I. G.: Global estimates of boreal forest
carbon stocks and flux, Global Planet. Change, 128, 24–30,
10.1016/j.gloplacha.2015.02.004, 2015.
Carey, S. K. and Woo, M. K.: Hydrology of two slopes in subarctic Yukon,
Canada, Hydrol. Process., 13, 2549–2562,
10.1002/(SICI)1099-1085(199911)13:16<2549::AID-HYP938>3.0.CO;2-H, 1999.
Deluca, T. H. and Boisvenue, C.: Boreal forest soil carbon: distribution,
function and modelling, Forestry, 85, 161–184, 10.1093/forestry/cps003, 2012.
Ebel, B. A., Koch, J. C., and Walvoord, M. A.: Soil Physical, Hydraulic, and
Thermal Properties in Interior Alaska, USA: Implications for Hydrologic
Response to Thawing Permafrost Conditions, Water Resour. Res., 55,
4427–4447, 10.1029/2018wr023673, 2019.
Estop-Aragonés, C., Cooper, M. D. A., Fisher, J. P., Thierry, A.,
Garnett, M. H., Charman, D. J., Murton, J. B., Phoenix, G. K., Treharne, R.,
Sanderson, N. K., Burn, C. R., Kokelj, S. V., Wolfe, S. A., Lewkowicz, A.
G., Williams, M., and Hartley, I. P.: Limited release of previously-frozen C
and increased new peat formation after thaw in permafrost peatlands, Soil
Biol. Biochem., 118, 115–129,
https://doi.org/10.1016/j.soilbio.2017.12.010, 2018.
Expert Committee on Soil Survey: The Canada Soil Information System
(CanSIS): Manual for describing soils in the field, LRRI Contribution No.
82-52, Ottawa, Canada, 175 pp., 1982.
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins,
W., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P.,
Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., and Rummukainen, M.:
Evaluation of Climate Models, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin,
D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A.,
Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge,
UK, and New York, NY, USA, 741–866, 2013.
Genet, H., McGuire, A. D., Barrett, K., Breen, A., Euskirchen, E. S.,
Johnstone, J. F., Kasischke, E. S., Melvin, A. M., Bennett, A., Mack, M. C.,
Rupp, T. S., Schuur, A. E. G., Turetsky, M. R., and Yuan, F.: Modeling the
effects of fire severity and climate warming on active layer thickness and
soil carbon storage of black spruce forests across the landscape in interior
Alaska, Environ. Res. Lett., 8, 45016–45016, 2013.
Gibson, C. M., Chasmer, L. E., Thompson, D. K., Quinton, W. L., Flannigan,
M. D., and Olefeldt, D.: Wildfire as a major driver of recent permafrost
thaw in boreal peatlands, Nat. Commun., 9, 3041,
10.1038/s41467-018-05457-1, 2018.
Harden, J. W., Trumbore, S. E., Stocks, B. J., Hirsch, A., Gower, S. T.,
O'Neill, K. P., and Kaisischke, E. S.: The role of fire in the boreal carbon
budget, Glob. Change Biol., 6, S174–S184, 2000.
Harden, J. W., Meier, R., Silapaswan, C., Swanson, D. K., and McGuire, A.
D.: Soil drainage and its potential for influencing wildfires in Alaska, in:
Studies by the U.S. Geological Survey in Alaska, 2001, edited by: Galloway,
J., U.S. Geological Survey Professional Paper 1678, 139–144, 2003.
Harden, J. W., Manies, K. L., O'Donnell, J., Johnson, K., Frolking, S., and
Fan, Z.: Spatiotemporal analysis of black spruce forest soils and
implications for the fate of C, J. Geophys. Res., 117,
G01012, 10.1029/2011JG001826, 2012.
Herndon, E., Kinsman-Costello, L., and Godsey, S.: Biogeochemical Cycling of
Redox-Sensitive Elements in Permafrost-Affected Ecosystems, in:
Biogeochemical Cycles, edited by: Dontsova, K., Balogh-Brunstad, Z., and Le
Roux, G., AGU Geophysical Monograph Series, Wiley, 245–265, 2020.
Hinzman, L. D., Bettez, N. D., Bolton, W. R., Chapin, F. S., Dyurgerov, M.
B., Fastie, C. L., Griffith, B., Hollister, R. D., Hope, A., Huntington, H.
P., Jensen, A. M., Jia, G. J., Jorgenson, T., Kane, D. L., Klein, D. R.,
Kofinas, G., Lynch, A. H., Lloyd, A. H., McGuire, A. D., Nelson, F. E.,
Oechel, W. C., Osterkamp, T. E., Racine, C. H., Romanovsky, V. E., Stone, R.
S., Stow, D. A., Sturm, M., Tweedie, C. E., Walker, M. D., Walker, D. A.,
Webber, P. J., Welker, J. M., Winker, K. S., and Yoshikawa, K.: Evidence and
implications of recent climate change in northern Alaska and other arctic
regions, Climatic Change, 72, 251–298, https://doi.org/10.1007/s10584-005-5352-2,
2005.
Hugelius, G., Strauss, J., Zubrzycki, S., Harden, J. W., Schuur, E. A. G., Ping, C.-L., Schirrmeister, L., Grosse, G., Michaelson, G. J., Koven, C. D., O'Donnell, J. A., Elberling, B., Mishra, U., Camill, P., Yu, Z., Palmtag, J., and Kuhry, P.: Estimated stocks of circumpolar permafrost carbon with quantified uncertainty ranges and identified data gaps, Biogeosciences, 11, 6573–6593, https://doi.org/10.5194/bg-11-6573-2014, 2014.
Jackson, R. B., Lajtha, K., Crow, S. E., Hugelius, G., Kramer, M. G., and
Piñeiro, G.: The Ecology of Soil Carbon: Pools, Vulnerabilities, and
Biotic and Abiotic Controls, Annu. Rev. Ecol. Evol.
S., 48, 419–445, 10.1146/annurev-ecolsys-112414-054234, 2017.
Johnson, K. D., Harden, J. W., McGuire, A. D., Bliss, N. B., Bockheim, J.
G., Clark, M., Nettleton-Hollingsworth, T., Jorgenson, M. T., Kane, E. S.,
Mack, M., O'Donnell, J., Ping, C. L., Schuur, E. A. G., Turetsky, M. R., and
Valentine, D. W.: Soil carbon distribution in Alaska in relation to
soil-forming factors, Geoderma, 167–168, 10.1016/j.goederma.2011.10.006,
2011.
Johnstone, J. F., Hollingsworth, T. N., and Chapin, F. S., III: A key for
predicting postfire successional trajectories in black spruce stands of
interior Alaska, Gen. Tech. Rep. PNW-GTR-767, Portland, OR, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 37 pp., 2008.
Jorgenson, M. T., Harden, J. W., Kanevskiy, M., O'Donnell, J. A., Wickland,
K. P., Ewing, S. A., Manies, K. L., Zhuang, Q., Shur, Y., Striegl, R. G.,
and Koch, J. C.: Reorganization of vegetation, hydrology, and soil carbon
after permafrost degradation across heterogeneous boreal landscapes,
Environ. Res. Lett., 8, 035017, 10.1088/1748-9326/8/3/035017,
2013.
Kane, E. S. and Ping, C.-L.: Soil carbon stabilization along productivity gradients in interior Alaska: Summer 2003, Bonanza Creek LTER – University of Alaska Fairbanks, BNZ:132, https://doi.org/10.6073/pasta/d09433eee2cb6587eca672864cf7e90f, 2004.
Khvorostyanov, D. V., Krinner, G., Ciais, P., Heimann, M., and Zimov, S. A.:
Vulnerability of permafrost carbon to global warming. Part I: model
description and role of heat generated by organic matter decomposition,
Tellus B, 60, 250–264, 10.1111/j.1600-0889.2007.00333.x, 2008.
Kielland, K., Olson, K., Ruess, R. W., and Boone, R. D.: Contribution of
winter processes to soil nitrogen flux in taiga forest ecosystems,
Biogeochemistry, 81, 349–360, 10.1007/s10533-006-9045-3, 2006.
Komada, T., Anderson, M. R., and Dorfmeier, C. L.: Carbonate removal from
coastal sediments for the determination of organic carbon and its isotopic
signatures, δ13C and Δ14C: comparison of fumigation and
direct acidification by hydrochloric acid, Limnol. Oceanogr.-Meth, 6, 254–262, 2008.
Koven, C. D., Ringeval, B., Friedlingstein, P., Ciais, P., Cadule, P.,
Khvorostyanov, D., Krinner, G., and Tarnocai, C.: Permafrost carbon-climate
feedbacks accelerate global warming, P. Natl. Acad.
Sci. USA, 108, 14769–14774, 10.1073/pnas.1103910108, 2011.
Koven, C. D., Riley, W. J., and Stern, A.: Analysis of permafrost thermal
dynamics and response to climate change in the CMIP5 Earth System Models,
J. Climate, 26, 1877–1900, 2013.
Lenth, R., Signmann, H., Love, J., Buerkner, P., and Herve, M.: emmeans: Estimated Marginal Means, aka Least-Squares Means, R package version 1.4.8. available at: https://CRAN.R-project.org/package=emmeans, last access: 30 July 2020.
Limpens, J., Heijmans, M. M. P. D., and Berendse, F.: The Nitrogen Cycle in
Boreal Peatlands, in: Boreal Peatland Ecosystems, edited by: Wieder, R. K.,
and Vitt, D., Ecol. Stud., Springer Berlin Heidelberg, 195–230, 2006.
Malmer, N., Albinsson, C., Svensson, B. M., and Wallén, B.:
Interferences between Sphagnum and vascular plants: effects on plant
community structure and peat formation, Oikos, 100, 469–482,
10.1034/j.1600-0706.2003.12170.x, 2003.
Manies, K.: Data Supporting Generalized models to estimate carbon and
nitrogen stocks of organic layers in Interior Alaska, U.S. Geological Survey, https://doi.org/10.5066/P960N1F9,
2019.
Manies, K. L., Harden, J. W., Silva, S. R., Briggs, P. H., and Schmid, B.
M.: Soil data from Picea mariana stands near Delta Junction, Alaska of
different ages and soil drainage types, U.S. Geological Survey, Open File Report 2004-1271, 19 pp., 2004.
Manies, K. L., Harden, J. W., and Veldhuis, H.: Soil data from a moderately
well and somewhat poorly drained fire chronosequence near Thompson,
Manitoba, Canada, U.S. Geological Survey, Open File Report
2006-1291, 17 pp., 2006.
Manies, K. L., Harden, J. W., and Hollingsworth, T. N.: Soils, Vegetation,
and Woody Debris Data from the 2001 Survey Line Fire and a Comparable
Unburned Site, U.S. Geological Survey, Open-File Report 2014-1049,
36 pp., 2014.
Manies, K. L., Harden, J. W., Fuller, C. C., Xu, X., and McGeehin, J. P.:
Soil Data for a Vegetation Gradient Located at Bonanza Creek Long Term
Ecological Research Site, Tanana Flats Region, Alaska, U.S. Geological Survey, 20 pp.,
2016.
Manies, K. L., Fuller, C. C., Jones, M. C., Waldrop, M. P., and McGeehin, J.
P.: Soil data for a thermokarst bog and the surrounding permafrost plateau
forest, located at Bonanza Creek Long Term Ecological Research Site,
Interior Alaska, Open File Report 2016-1173, 11 pp., 2017.
Michaelson, G. J., Ping, C.-L., and Clark, M.: Soil Pedon Carbon and
Nitrogen Data for Alaska: An Analysis and Update, Open J. Soil
Sci., 3, 132–142, 10.4236/ojss.2013.32015, 2013.
Mu, C., Zhang, T., Zhang, X., Li, L., Guo, H., Zhao, Q., Cao, L., Wu, Q.,
and Cheng, G.: Carbon loss and chemical changes from permafrost collapse in
the northern Tibetan Plateau, J. Geophys. Res.-Biogeo., 121, 1781–1791, 10.1002/2015JG003235, 2016.
Myers-Smith, I. H., Harden, J. W., Wilmking, M., Fuller, C. C., McGuire, A. D., and Chapin III, F. S.: Wetland succession in a permafrost collapse: interactions between fire and thermokarst, Biogeosciences, 5, 1273–1286, https://doi.org/10.5194/bg-5-1273-2008, 2008.
Nalder, I. A. and Wein, R. W.: A new forest floor corer for rapid sampling,
minimal disturbance and adequate precision, Silva Fenn., 32, 373–381,
1998.
Neff, J. C., Harden, J. W., and Gleixner, G.: Fire effects on soil organic
matter content and composition in boreal Interior Alaska, Can. J.
Forest Res., 35, 2178–2187, 2005.
O'Donnell, J. A., Romanovsky, V. E., Harden, J. W., and McGuire, A. D.: The
effect of soil moisture content on the thermal conductivity of soil organic
horizons from black spruce ecosystems in Interior Alaska, Soil Sci.,
646–651, 10.1097/SS.0b013e3181c4a7f8, 2009.
O'Donnell, J. A., Harden, J. W., McGuire, A. D., Kanevskiy, M. Z., and
Jorgenson, M. T.: The effect of fire and permafrost interactions on soil
carbon accumulation in an upland black spruce ecosystem of interior Alaska:
Implications for post-thaw carbon loss, Glob. Change Biol., 1461–1474,
10.1111/j.1365-2486.2010.02358.x, 2011.
O'Donnell, J. A., Harden, J. W., Manies, K. L., and Jorgenson, M. T.: Soil
data for a collapse-scar bog chronosequence in Koyukuk Flats National
Wildlife Refuge, Alaska, 2008, U.S. Geological Survey, Open-File Report, 14
pp., 2012.
O'Donnell, J. A., Harden, J. W., Manies, K. L., Jorgenson, M. T., Kanevskiy,
M., and Xu, X.: Soil data from fire and permafrost-thaw chronosequences in
upland black spruce (Picea mariana) stands near Hess Creek and Tok, Alaska,
U.S. Geological Survey, 16 pp., 2013.
O'Neill, K. P., Kasischke, E. S., and Richter, D. D.: Environmental controls
on soil CO2 flux following fire in black spruce, white spruce, and
aspen stand of interior Alaska, Can. J. Forest Res., 32,
1525–1541, 2002.
Osterkamp, T. E., Jorgenson, M. T., Schuur, E. A. G., Shur, Y. L.,
Kanevskiy, M. Z., Vogel, J. G., and Tumskoy, V. E.: Physical and ecological
changes associated with warming permafrost and thermokarst in Interior
Alaska, Permafrost Periglac., 20, 235–256, 2009.
Pella, E.: Elemental organic analysis. Part 1 – Historical developments, American Laboratory, 22, 116–125, 1990a.
Pella, E.: Elemental organic analyzer, Part 2 – State of the art, American Laboratory, 22, 28–32, 1990b.
Ping, C., Boone, R. D., Clark, M. H., Packee, E. C., and Swanson, D. K.:
State factor control of soil formation in Interior Alaska, in: Alaska's
changing boreal forest, edited by: Chapin Iii, F. S., Oswood, M. W., Van
Cleve, K., Viereck, L. A., and Verbyla, D. L., Oxford University Press,
Oxford, 21–38, 2006.
Ping, C. L., Michaelson, G. J., Kane, E. S., Packee, E. C., Stiles, C. A.,
Swanson, D. K., and Zaman, N. D.: Carbon Stores and Biogeochemical
Properties of Soils under Black Spruce Forest, Alaska, Soil Sci. Soc.
Am. J., 74, 969–978, 2010.
R Core Team: R: A language and environment for statistical computing, R
Foundation for Statistical Computing, Vienna, Austria, 2017.
Rand, J. and Mellor, M.: Ice-coring augers for shallow depth sampling, U.S.
Army Cold Regions Research and Engineering Laboratory, CRREL Report 85-21, Hanover, USA, 27 pp., 1985.
Schadel, C., Bader, M. K. F., Schuur, E. A. G., Biasi, C., Bracho, R.,
Capek, P., De Baets, S., Diakova, K., Ernakovich, J., Estop-Aragones, C.,
Graham, D. E., Hartley, I. P., Iversen, C. M., Kane, E., Knoblauch, C.,
Lupascu, M., Martikainen, P. J., Natali, S. M., Norby, R. J., O'Donnell, J.
A., Chowdhury, T. R., Santruckova, H., Shaver, G., Sloan, V. L., Treat, C.
C., Turetsky, M. R., Waldrop, M. P., and Wickland, K. P.: Potential carbon
emissions dominated by carbon dioxide from thawed permafrost soils, Nat.
Clim. Change, 6, 950–953, 10.1038/nclimate3054, 2016.
Schuur, E. A., McGuire, A. D., Schädel, C., Grosse, G., Harden, J. W.,
Hayes, D. J., Hugelius, G., Koven, C. D., Kuhry, P., Lawrence, D. M.,
Natali, S. M., Olefeldt, D., Romanovsky, V. E., Schaefer, K., Turetsky, M.
R., Treat, C. C., and Vonk, J. E.: Climate change and the permafrost carbon
feedback, Nature, 520, 171–179, 10.1038/nature14338, 2015.
Soil Classification Working Group: Canadian System of Soil Classification,
3rd edn., National Research Council Canada Research Press, Ontario, Ottawa, 188 pp.,
1998.
Soil Survey Division Staff: Examination and Description of Soil Profiles,
in: Soil survey manual, edited by: Ditzler, C., Scheffe, K., and Monger, H.
C., USDA, Government Printing Office, Washington, D.C., USA, 1993.
Soil Survey Staff: Keys to soil taxonomy, 8th ed., Pocahontas Press,
Blacksburg, Virginia, 599 pp., 1998.
Turetsky, M. R., Crow, S. E., Evans, R. J., Vitt, D. H., and Wieder, R. K.:
Trade-offs in resource allocation among moss species control decomposition
in boreal peatlands, J. Ecol., 96, 1297–1305,
10.1111/j.1365-2745.2008.01438.x, 2008.
Turetsky, M. R., Kane, E. S., Harden, J. W., Ottmar, R. D., Manies, K. L.,
Hoy, E., and Kasichke, E. S.: Recent acceleration of biomass burning and
carbon losses in Alaskan forests and peatlands, Nat. Geosci., 4,
27–31, 10.1038/NGEO1027, 2011.
Van Cleve, K., Oliver, L., Schlentner, R., Viereck, L. A., and Dyrness, C.
T.: Productivity and nutrient cycling in taiga forest ecosystems, Can.
J. Forest Res., 13, 747–766, 1983.
Woo, M. K.: Permafrost hydrology in North America, Atmos. Ocean, 24,
201–234, 10.1080/07055900.1986.9649248, 1986.
Yi, S., Manies, K., Harden, J., and McGuire, A. D.: Characteristics of
organic soil in black spruce forests: Implications for the application of
land surface and ecosystem models in cold regions, Geophys. Res.
Lett., 36, L05501, 10.1029/2008GL037014, 2009.
Short summary
Boreal ecosystems are unique in that their mineral soil is covered by what can be quite thick layers of organic soil. Layers within this organic soil have different bulk densities, carbon composition, and nitrogen composition. We summarize these properties by soil layer and examine if and how they are affected by soil drainage and stand age. These values can be used to initialize and validate models as well as gap fill when these important soil properties are not measured.
Boreal ecosystems are unique in that their mineral soil is covered by what can be quite thick...
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