DOI: 10.1111/gcb.13979
Scopus记录号: 2-s2.0-85035085025
论文题名: Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models
作者: Wieder W.R. ; Hartman M.D. ; Sulman B.N. ; Wang Y.-P. ; Koven C.D. ; Bonan G.B.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2018
卷: 24, 期: 4 起始页码: 1563
结束页码: 1579
语种: 英语
英文关键词: biogeochemistry
; carbon cycle
; earth system models
; global change
; microbial models
; soil organic matter
; structural uncertainty
; turnover time
Scopus关键词: biogeochemistry
; carbon cycle
; global change
; microbial activity
; modeling
; soil carbon
; soil chemistry
; soil organic matter
; uncertainty analysis
英文摘要: Emerging insights into factors responsible for soil organic matter stabilization and decomposition are being applied in a variety of contexts, but new tools are needed to facilitate the understanding, evaluation, and improvement of soil biogeochemical theory and models at regional to global scales. To isolate the effects of model structural uncertainty on the global distribution of soil carbon stocks and turnover times we developed a soil biogeochemical testbed that forces three different soil models with consistent climate and plant productivity inputs. The models tested here include a first-order, microbial implicit approach (CASA-CNP), and two recently developed microbially explicit models that can be run at global scales (MIMICS and CORPSE). When forced with common environmental drivers, the soil models generated similar estimates of initial soil carbon stocks (roughly 1,400 Pg C globally, 0–100 cm), but each model shows a different functional relationship between mean annual temperature and inferred turnover times. Subsequently, the models made divergent projections about the fate of these soil carbon stocks over the 20thcentury, with models either gaining or losing over 20 Pg C globally between 1901 and 2010. Single-forcing experiments with changed inputs, temperature, and moisture suggest that uncertainty associated with freeze-thaw processes as well as soil textural effects on soil carbon stabilization were larger than direct temperature uncertainties among models. Finally, the models generated distinct projections about the timing and magnitude of seasonal heterotrophic respiration rates, again reflecting structural uncertainties that were related to environmental sensitivities and assumptions about physicochemical stabilization of soil organic matter. By providing a computationally tractable and numerically consistent framework to evaluate models we aim to better understand uncertainties among models and generate insights about factors regulating the turnover of soil organic matter. © 2017 John Wiley & Sons Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110440
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, United States; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, United States; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China; CSIRO Oceans and Atmosphere, Aspendale, VIC, Australia; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Recommended Citation:
Wieder W.R.,Hartman M.D.,Sulman B.N.,et al. Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models[J]. Global Change Biology,2018-01-01,24(4)