globalchange  > 气候变化事实与影响
DOI: 10.1002/2015GB005239
Scopus记录号: 2-s2.0-84956641600
论文题名:
Toward more realistic projections of soil carbon dynamics by Earth system models
作者: Luo Y; , Ahlström A; , Allison S; D; , Batjes N; H; , Brovkin V; , Carvalhais N; , Chappell A; , Ciais P; , Davidson E; A; , Finzi A; , Georgiou K; , Guenet B; , Hararuk O; , Harden J; W; , He Y; , Hopkins F; , Jiang L; , Koven C; , Jackson R; B; , Jones C; D; , Lara M; J; , Liang J; , McGuire A; D; , Parton W; , Peng C; , Randerson J; T; , Salazar A; , Sierra C; A; , Smith M; J; , Tian H; , Todd-Brown K; E; O; , Torn M; , Van Groenigen K; J; , Wang Y; P; , West T; O; , Wei Y; , Wieder W; R; , Xia J; , Xu X; , Xu X; , Zhou T
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2016
卷: 30, 期:1
起始页码: 40
结束页码: 56
语种: 英语
英文关键词: CMIP5 ; Earth system models ; realistic projections ; recommendations ; soil carbon dynamics
Scopus关键词: carbon sink ; data assimilation ; decomposition ; environmental conditions ; Intergovernmental Panel on Climate Change ; parameterization ; soil carbon ; soil organic matter ; soil texture
英文摘要: 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. ©2015. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77892
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Center for Earth System Science, Tsinghua University, Beijing, China; Department of Earth System Science, Stanford University, Stanford, CA, United States; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden; Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, United States; Department of Earth System Science, University of California, Irvine, CA, United States; ISRIC-World Soil Information, Wageningen, Netherlands; Max Planck Institute for Meteorology, Hamburg, Germany; Max Planck Institute for Biogeochemistry, Jena, Germany; CENSE, Departamento de Ciências e Engenharia Do Ambiente, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal; CSIRO Land and Water National Research Flagship, Canberra, Australia; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France; Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, United States; Department of Biology, Boston University, Boston, MA, United States; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, United States; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Pacific Forestry Centre, Canadian Forest Service, Victoria, BC, Canada; U.S. Geological Survey, Menlo Park, CA, United States; Met Office Hadley Centre, Exeter, United Kingdom; Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United States; U.S. Geological Survey, Alaska Cooperative Fish and Wildlife Research Unit, Fairbanks, AK, United States; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, United States; Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC, Canada; Department of Biological Sciences, Purdue University, West Lafayette, IN, United States; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom; International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, United States; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States; CSIRO Ocean and Atmosphere Flagship, Aspendale, VIC, Australia; Joint Global Change Research Institute, College Park, MD, United States; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States; National Center for Atmospheric Research, Boulder, CO, United States; School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IW, United States; Department of Biological Science, University of Texas at El Paso, El Paso, TX, United States; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China

Recommended Citation:
Luo Y,, Ahlström A,, Allison S,et al. Toward more realistic projections of soil carbon dynamics by Earth system models[J]. Global Biogeochemical Cycles,2016-01-01,30(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Luo Y]'s Articles
[, Ahlström A]'s Articles
[, Allison S]'s Articles
百度学术
Similar articles in Baidu Scholar
[Luo Y]'s Articles
[, Ahlström A]'s Articles
[, Allison S]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Luo Y]‘s Articles
[, Ahlström A]‘s Articles
[, Allison S]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.