Articles | Volume 13, issue 12
https://doi.org/10.5194/bg-13-3757-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3757-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management
Jinfeng Chang
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
Sorbonne Universités (UPMC), CNRS-IRD-MNHN,
LOCEAN/IPSL, 4 place Jussieu, 75005 Paris, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
Mario Herrero
Commonwealth Scientific and Industrial Research Organisation,
Agriculture Flagship, St. Lucia, QLD 4067, Australia
Petr Havlik
Ecosystems Services and Management Program, International Institute
for Applied Systems Analysis, 2361 Laxenburg, Austria
Matteo Campioli
Centre of Excellence PLECO (Plant and Vegetation Ecology), Department
of Biology, University of Antwerp, 2610 Wilrijk, Belgium
Xianzhou Zhang
Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem
Network Observation and Modeling, Institute of Geographic Sciences and
Natural Resources Research, CAS, 100101 Beijing, China
Yongfei Bai
State Key Laboratory of Vegetation and Environmental Change, Institute
of Botany, Chinese Academy of Sciences, 100093 Beijing, China
Nicolas Viovy
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Xuhui Wang
Laboratoire de Météorologie Dynamique, Institute Pierre Simon
Laplace, 75005 Paris, France
Sino-French Institute of Earth System Sciences, College of Urban and
Environmental Sciences, Peking University, 100871 Beijing, China
Shushi Peng
Sino-French Institute of Earth System Sciences, College of Urban and
Environmental Sciences, Peking University, 100871 Beijing, China
Chao Yue
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
CNRS and UJF Grenoble 1, UMR5183, Laboratoire de Glaciologie et
Géophysique de l'Environnement (LGGE), Grenoble, France
Shilong Piao
Sino-French Institute of Earth System Sciences, College of Urban and
Environmental Sciences, Peking University, 100871 Beijing, China
Tao Wang
Key Laboratory of Alpine Ecology and Biodiversity, Institute of
Tibetan Plateau Research, Chinese Academy of Sciences, 100085 Beijing, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese
Academy of Sciences, 100085 Beijing, China
Didier A. Hauglustaine
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
Jean-Francois Soussana
INRA, UAR0233 CODIR Collège de Direction. Centre-Siège de
l'INRA, Paris, France
Anna Peregon
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212,
CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Pr. Akademika
Lavrentyeva 8/2, 630090 Novosibirsk, Russia
Natalya Kosykh
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Pr. Akademika
Lavrentyeva 8/2, 630090 Novosibirsk, Russia
Nina Mironycheva-Tokareva
Institute of Soil Science and Agrochemistry, Siberian Branch Russian
Academy of Sciences (SB RAS), Pr. Akademika
Lavrentyeva 8/2, 630090 Novosibirsk, Russia
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Saved (preprint)
Latest update: 04 Oct 2024
Short summary
We derived the global maps of grassland management intensity of 1901–2012, including the minimum area of managed grassland with fraction of mown/grazed part. These maps, to our knowledge for the first time, provide global, time-dependent information for drawing up global estimates of management impact on biomass production and yields and for global vegetation models to enable simulations of carbon stocks and GHG budgets beyond simple tuning of grassland productivities to account for management.
We derived the global maps of grassland management intensity of 1901–2012, including the minimum...
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