Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-3927-2021
© Author(s) 2021. 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-13-3927-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Aug 2021
Data description paper |
| 11 Aug 2021
| 11 Aug 2021
The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
Gamma Remote Sensing, 3073 Gümligen, Switzerland
Oliver Cartus
Gamma Remote Sensing, 3073 Gümligen, Switzerland
Nuno Carvalhais
Max Planck Institute for Biogeochemistry, Hans Knöll Strasse 10, 07745 Jena, Germany
Departamento de Ciências e Engenharia do Ambiente, DCEA, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Danaë M. A. Rozendaal
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Plant Production Systems Group, Wageningen University and Research,
P.O. Box 430, 6700 AK Wageningen, the Netherlands
Centre for Crop Systems Analysis, Wageningen University and Research, P.O. Box 430, 6700 AK Wageningen, the Netherlands
Valerio Avitabile
Joint Research Centre, European Commission, Ispra, Italy
Arnan Araza
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Sytze de Bruin
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Martin Herold
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Shaun Quegan
National Centre for Earth Observation (NCEO), University of Sheffield, Sheffield, S3 7RH, UK
Pedro Rodríguez-Veiga
Centre for Landscape and Climate Research, School of Geography,
Geology and the Environment, University of Leicester, LE1 7RH, UK
National Centre for Earth Observation (NCEO), Leicester, LE1 7RH,
UK
Heiko Balzter
Centre for Landscape and Climate Research, School of Geography,
Geology and the Environment, University of Leicester, LE1 7RH, UK
National Centre for Earth Observation (NCEO), Leicester, LE1 7RH,
UK
João Carreiras
National Centre for Earth Observation (NCEO), University of Sheffield, Sheffield, S3 7RH, UK
Dmitry Schepaschenko
International Institute for Applied Systems Analysis, Schlossplatz 1, 2361 Laxenburg, Austria
Center of Forest Ecology and Productivity, Russian Academy of Sciences, Profsoyuznaya 84/32/14, 117997 Moscow, Russia
Institute of Ecology and Geography, Siberian Federal University, 79 Svobodny Prospect,
660041 Krasnoyarsk, Russia
Mikhail Korets
Laboratory of Ecophysiology of Permafrost Systems, V.N. Sukachev
Institute of Forest of the Siberian Branch of the Russian Academy of Sciences –
separated department of the KSC SB RAS, 660036 Krasnoyarsk, Russia
Masanobu Shimada
Tokyo Denki University, School of Science and Engineering, Division of Architectural, Civil and Environmental Engineering, Ishizaka, Hatoyama, Hiki, Saitama, 350-0394, Japan
Takuya Itoh
Remote Sensing Technology Center of Japan, Tokyu Reit Toranomon Bldg, 3f, 3-17-1 Toranomon, Minato-Ku, Tokyo, 105-0001, Japan
Álvaro Moreno Martínez
Image Processing Laboratory (IPL), Universitat de València,
València, Spain
Numerical Terradynamic Simulation Group (NTSG), University of
Montana, Missoula, MT, USA
Jura Cavlovic
Department of Forest Inventory and Management, Faculty of Forestry and Wood Technology, University of Zagreb, Svetosimunska cesta 23,
10000 Zagreb, Croatia
Roberto Cazzolla Gatti
Biological Institute, Tomsk State University, 634050 Tomsk, Russia
Polyanna da Conceição Bispo
Centre for Landscape and Climate Research, School of Geography,
Geology and the Environment, University of Leicester, LE1 7RH, UK
Department of
Geography, School of Environment, Education and Development, University of Manchester, Oxford Road, M13 9PL Manchester, UK
Nasheta Dewnath
Guyana Forestry Commission, 1 Water Street, Kingston, Georgetown,
Guyana
Nicolas Labrière
Laboratoire Évolution et Diversité Biologique, UMR 5174
(CNRS/IRD/UPS), 31062 Toulouse CEDEX 9, France
Jingjing Liang
Department of Forestry and Natural Resources, Purdue University, 715 W State St, West Lafayette, IN 47907, USA
Jeremy Lindsell
A Rocha International, Cambridge, UK
The RSPB Centre for Conservation Science, Bedfordshire, UK
Edward T. A. Mitchard
School of GeoSciences, University of Edinburgh, Crew Building, The
King's Buildings, Edinburgh, EH9 3FF, UK
Alexandra Morel
Department of Geography and Environmental Sciences, University of
Dundee, Dundee, UK
Ana Maria Pacheco Pascagaza
Centre for Landscape and Climate Research, School of Geography,
Geology and the Environment, University of Leicester, LE1 7RH, UK
Department of
Geography, School of Environment, Education and Development, University of Manchester, Oxford Road, M13 9PL Manchester, UK
Casey M. Ryan
School of GeoSciences, University of Edinburgh, Crew Building, The
King's Buildings, Edinburgh, EH9 3FF, UK
Ferry Slik
Faculty of Science, University Brunei Darussalam, Jln Tungku Link,
Gadong, BE1410, Brunei Darussalam
amma Remote Sensing, 3073 Gümligen, Switzerland
Gaia Vaglio Laurin
Department for Innovation in Biological, Agro-Food and Forest Systems
(DIBAF), University of Tuscia, 01100 Viterbo, Italy
Hans Verbeeck
CAVElab – Computational and Applied Vegetation Ecology, Department
of Environment, Ghent University, Coupure Links 653, 9000 Gent, Belgium
Arief Wijaya
Department of
Research, Data and Innovation, World Resources Institute Indonesia (WRI Indonesia), Wisma PMI, 3rd Floor, Jl. Wijaya I/63,
Kebayoran Baru, South Jakarta, Indonesia
Simon Willcock
School of Natural Sciences, Bangor University, Bangor, Gwynedd, UK
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J. Pacheco-Labrador, U. Weber, X. Ma, M. D. Mahecha, N. Carvalhais, C. Wirth, A. Huth, F. J. Bohn, G. Kraemer, U. Heiden, FunDivEUROPE members, and M. Migliavacca
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Simon Besnard, Sujan Koirala, Maurizio Santoro, Ulrich Weber, Jacob Nelson, Jonas Gütter, Bruno Herault, Justin Kassi, Anny N'Guessan, Christopher Neigh, Benjamin Poulter, Tao Zhang, and Nuno Carvalhais
Earth Syst. Sci. Data, 13, 4881–4896, https://doi.org/10.5194/essd-13-4881-2021, https://doi.org/10.5194/essd-13-4881-2021, 2021
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Sergey N. Vorobyev, Jan Karlsson, Yuri Y. Kolesnichenko, Mikhail A. Korets, and Oleg S. Pokrovsky
Biogeosciences, 18, 4919–4936, https://doi.org/10.5194/bg-18-4919-2021, https://doi.org/10.5194/bg-18-4919-2021, 2021
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Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jerome Chave, Dmitry Schepaschenko, Rose Z. Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, and Shilong Piao
Earth Syst. Sci. Data, 13, 4263–4274, https://doi.org/10.5194/essd-13-4263-2021, https://doi.org/10.5194/essd-13-4263-2021, 2021
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Paula Alejandra Lamprea Pineda, Marijn Bauters, Hans Verbeeck, Selene Baez, Matti Barthel, Samuel Bodé, and Pascal Boeckx
Biogeosciences, 18, 413–421, https://doi.org/10.5194/bg-18-413-2021, https://doi.org/10.5194/bg-18-413-2021, 2021
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Tropical forest soils are an important source and sink of greenhouse gases (GHGs) with tropical montane forests having been poorly studied. In this pilot study, we explored soil fluxes of CO2, CH4, and N2O in an Ecuadorian neotropical montane forest, where a net consumption of N2O at higher altitudes was observed. Our results highlight the importance of short-term variations in N2O and provide arguments and insights for future, more detailed studies on GHG fluxes from montane forest soils.
Wim Verbruggen, Guy Schurgers, Stéphanie Horion, Jonas Ardö, Paulo N. Bernardino, Bernard Cappelaere, Jérôme Demarty, Rasmus Fensholt, Laurent Kergoat, Thomas Sibret, Torbern Tagesson, and Hans Verbeeck
Biogeosciences, 18, 77–93, https://doi.org/10.5194/bg-18-77-2021, https://doi.org/10.5194/bg-18-77-2021, 2021
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A large part of Earth's land surface is covered by dryland ecosystems, which are subject to climate extremes that are projected to increase under future climate scenarios. By using a mathematical vegetation model, we studied the impact of single years of extreme rainfall on the vegetation in the Sahel. We found a contrasting response of grasses and trees to these extremes, strongly dependent on the way precipitation is spread over the rainy season, as well as a long-term impact on CO2 uptake.
Naixin Fan, Sujan Koirala, Markus Reichstein, Martin Thurner, Valerio Avitabile, Maurizio Santoro, Bernhard Ahrens, Ulrich Weber, and Nuno Carvalhais
Earth Syst. Sci. Data, 12, 2517–2536, https://doi.org/10.5194/essd-12-2517-2020, https://doi.org/10.5194/essd-12-2517-2020, 2020
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The turnover time of terrestrial carbon (τ) controls the global carbon cycle–climate feedback. In this study, we provide a new, updated ensemble of diagnostic terrestrial carbon turnover times and associated uncertainties on a global scale. Despite the large variation in both magnitude and spatial patterns of τ, we identified robust features in the spatial patterns of τ which could contribute to uncertainty reductions in future projections of the carbon cycle–climate feedback.
Hannes P. T. De Deurwaerder, Marco D. Visser, Matteo Detto, Pascal Boeckx, Félicien Meunier, Kathrin Kuehnhammer, Ruth-Kristina Magh, John D. Marshall, Lixin Wang, Liangju Zhao, and Hans Verbeeck
Biogeosciences, 17, 4853–4870, https://doi.org/10.5194/bg-17-4853-2020, https://doi.org/10.5194/bg-17-4853-2020, 2020
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The depths at which plants take up water is challenging to observe directly. To do so, scientists have relied on measuring the isotopic composition of xylem water as this provides information on the water’s source. Our work shows that this isotopic composition changes throughout the day, which complicates the interpretation of the water’s source and has been currently overlooked. We build a model to help understand the origin of these composition changes and their consequences for science.
Anne J. Hoek van Dijke, Kaniska Mallick, Martin Schlerf, Miriam Machwitz, Martin Herold, and Adriaan J. Teuling
Biogeosciences, 17, 4443–4457, https://doi.org/10.5194/bg-17-4443-2020, https://doi.org/10.5194/bg-17-4443-2020, 2020
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We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
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Short summary
Forests play a crucial role in Earth’s carbon cycle. To understand the carbon cycle better, we generated a global dataset of forest above-ground biomass, i.e. carbon stocks, from satellite data of 2010. This dataset provides a comprehensive and detailed portrait of the distribution of carbon in forests, although for dense forests in the tropics values are somewhat underestimated. This dataset will have a considerable impact on climate, carbon, and socio-economic modelling schemes.
Forests play a crucial role in Earth’s carbon cycle. To understand the carbon cycle better, we...
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