Toward more realistic projections of soil carbon dynamics by Earth system models

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Toward more realistic projections of soil carbon dynamics by Earth system models

Luo, Yiqi (författare): University of Oklahoma,Tsinghua University

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

Allison, Steven D. (författare): University of California, Irvine

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Batjes, Niels H. (författare): ISRIC - World Soil Information

Brovkin, Victor (författare): Max Planck Institute for Meteorology

Carvalhais, Nuno (författare): Max Planck Institute for Biogeochemistry,NOVA University Lisbon

Chappell, Adrian (författare): CSIRO Land & Water Flagship

Ciais, Philippe (författare): Versailles Saint-Quentin-en-Yvelines University

Davidson, Eric A. (författare): University of Maryland

Finzi, Adien (författare): Boston University

Georgiou, Katerina (författare): University of California, Berkeley,Lawrence Berkeley National Laboratory

Guenet, Bertrand (författare): Versailles Saint-Quentin-en-Yvelines University

Hararuk, Oleksandra (författare): Pacific Forestry Centre

Harden, Jennifer W. (författare): United States Geological Survey Western Region

He, Yujie (författare): University of California, Irvine

Hopkins, Francesca (författare): University of California, Irvine

Jiang, Lifen (författare): University of Oklahoma

Koven, Charlie (författare): Lawrence Berkeley National Laboratory

Jackson, Robert B. (författare): Stanford University

Jones, Chris D. (författare): Met Office

Lara, Mark J. (författare): University of Alaska Fairbanks

Liang, Junyi (författare): University of Oklahoma

McGuire, A. David (författare): Northern Rocky Mountain Science Center,University of Alaska Fairbanks

Parton, William (författare): Colorado State University

Peng, Changhui (författare): University Of Quebec In Montreal

Randerson, James T. (författare): University of California, Irvine

Salazar, Alejandro (författare): Purdue University

Sierra, Carlos A. (författare): Max Planck Institute for Biogeochemistry

Smith, Matthew J. (författare): Microsoft Research Ltd, UK

Tian, Hanqin (författare): Auburn University

Todd-Brown, Katherine E.O. (författare): Pacific Northwest National Laboratory

Torn, Margaret (författare): Lawrence Berkeley National Laboratory

Van Groenigen, Kees Jan (författare): Northern Arizona University

Wang, Ying Ping (författare): CSIRO Oceans and Atmosphere, Canberra

West, Tristram O. (författare): Joint Global Change Research Institute

Wei, Yaxing (författare): Oak Ridge National Laboratory

Wieder, William R. (författare): National Center for Atmospheric Research

Xia, Jianyang (författare): East China Normal University

Xu, Xia (författare): Iowa State University

Xu, Xiaofeng (författare): University of Texas at El Paso

Zhou, Tao (författare): Beijing Normal University

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(creator_code:org_t)

2016
2016
Engelska 17 s.
Ingår i: Global Biogeochemical Cycles. - 0886-6236. ; 30:1, s. 40-56

Relaterad länk:: https://cloudfront.e... (free); visa fler...; http://dx.doi.org/10...; https://lup.lub.lu.s...; https://doi.org/10.1...; visa färre...

Tidskriftsartikel (refereegranskat)

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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.

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Toward more realistic projections of soil carbon dynamics by Earth system models

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