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Toward more realist...
Toward more realistic projections of soil carbon dynamics by Earth system models
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- Luo, Yiqi (författare)
- University of Oklahoma,Tsinghua University
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- Ahlström, Anders (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,Stanford University
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- Allison, Steven D. (författare)
- University of California, Irvine
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- Batjes, Niels H. (författare)
- ISRIC - World Soil Information
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- Brovkin, Victor (författare)
- Max Planck Institute for Meteorology
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- Carvalhais, Nuno (författare)
- Max Planck Institute for Biogeochemistry,NOVA University Lisbon
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- Chappell, Adrian (författare)
- CSIRO Land & Water Flagship
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- Ciais, Philippe (författare)
- Versailles Saint-Quentin-en-Yvelines University
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- Davidson, Eric A. (författare)
- University of Maryland
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- Finzi, Adien (författare)
- Boston University
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- Georgiou, Katerina (författare)
- University of California, Berkeley,Lawrence Berkeley National Laboratory
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- Guenet, Bertrand (författare)
- Versailles Saint-Quentin-en-Yvelines University
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- Hararuk, Oleksandra (författare)
- Pacific Forestry Centre
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- Harden, Jennifer W. (författare)
- United States Geological Survey Western Region
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- He, Yujie (författare)
- University of California, Irvine
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- Hopkins, Francesca (författare)
- University of California, Irvine
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- Jiang, Lifen (författare)
- University of Oklahoma
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- Koven, Charlie (författare)
- Lawrence Berkeley National Laboratory
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- Jackson, Robert B. (författare)
- Stanford University
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- Jones, Chris D. (författare)
- Met Office
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- Lara, Mark J. (författare)
- University of Alaska Fairbanks
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- Liang, Junyi (författare)
- University of Oklahoma
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- McGuire, A. David (författare)
- Northern Rocky Mountain Science Center,University of Alaska Fairbanks
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- Parton, William (författare)
- Colorado State University
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- Peng, Changhui (författare)
- University Of Quebec In Montreal
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- Randerson, James T. (författare)
- University of California, Irvine
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- Salazar, Alejandro (författare)
- Purdue University
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- Sierra, Carlos A. (författare)
- Max Planck Institute for Biogeochemistry
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- Smith, Matthew J. (författare)
- Microsoft Research Ltd, UK
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- Tian, Hanqin (författare)
- Auburn University
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- Todd-Brown, Katherine E.O. (författare)
- Pacific Northwest National Laboratory
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- Torn, Margaret (författare)
- Lawrence Berkeley National Laboratory
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- Van Groenigen, Kees Jan (författare)
- Northern Arizona University
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- Wang, Ying Ping (författare)
- CSIRO Oceans and Atmosphere, Canberra
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- West, Tristram O. (författare)
- Joint Global Change Research Institute
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- Wei, Yaxing (författare)
- Oak Ridge National Laboratory
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- Wieder, William R. (författare)
- National Center for Atmospheric Research
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- Xia, Jianyang (författare)
- East China Normal University
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- Xu, Xia (författare)
- Iowa State University
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- Xu, Xiaofeng (författare)
- University of Texas at El Paso
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- Zhou, Tao (författare)
- Beijing Normal University
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(creator_code:org_t)
- 2016
- 2016
- Engelska 17 s.
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Ingår i: Global Biogeochemical Cycles. - 0886-6236. ; 30:1, s. 40-56
- Relaterad länk:
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https://cloudfront.e... (free)
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool- and flux-based data sets through data assimilation is among the highest priorities for near-term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.
Nyckelord
- CMIP5
- Earth system models
- realistic projections
- recommendations
- soil carbon dynamics
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- art (ämneskategori)
- ref (ämneskategori)
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Luo, Yiqi
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Ahlström, Anders
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Allison, Steven ...
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Batjes, Niels H.
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Brovkin, Victor
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Carvalhais, Nuno
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visa fler...
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Chappell, Adrian
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Ciais, Philippe
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Davidson, Eric A ...
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Finzi, Adien
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Georgiou, Kateri ...
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Guenet, Bertrand
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Hararuk, Oleksan ...
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Harden, Jennifer ...
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He, Yujie
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Hopkins, Frances ...
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Jiang, Lifen
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Koven, Charlie
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Jackson, Robert ...
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Jones, Chris D.
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Lara, Mark J.
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Liang, Junyi
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McGuire, A. Davi ...
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Parton, William
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Peng, Changhui
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Randerson, James ...
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Salazar, Alejand ...
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Sierra, Carlos A ...
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Smith, Matthew J ...
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Tian, Hanqin
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Todd-Brown, Kath ...
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Torn, Margaret
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Van Groenigen, K ...
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Wang, Ying Ping
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West, Tristram O ...
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Wei, Yaxing
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Wieder, William ...
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Xia, Jianyang
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Xu, Xia
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Xu, Xiaofeng
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Zhou, Tao
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Global Biogeoche ...
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