DOI: 10.1029/2018GB006141
论文题名: Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions
作者: Wieder W.R. ; Lawrence D.M. ; Fisher R.A. ; Bonan G.B. ; Cheng S.J. ; Goodale C.L. ; Grandy A.S. ; Koven C.D. ; Lombardozzi D.L. ; Oleson K.W. ; Thomas R.Q.
刊名: Global Biogeochemical Cycles
ISSN: 0886-6236
EISSN: 1944-9224
出版年: 2019
卷: 33, 期: 10 语种: 英语
英文关键词: biogeochemistry
; carbon cycle
; carbon dioxide
; environmental change
; nitrogen
; nutrient uptake
; terrestrial ecosystem
学科: biogeochemistry
; Community Land Model
; elevated CO2
; land model
; nitrogen enrichment
中文摘要: Land models are often used to simulate terrestrial responses to future environmental changes, but these models are not commonly evaluated with data from experimental manipulations. Results from experimental manipulations can identify and evaluate model assumptions that are consistent with appropriate ecosystem responses to future environmental change. We conducted simulations using three coupled carbon-nitrogen versions of the Community Land Model (CLM, versions 4, 4.5, and—the newly developed—5), and compared the simulated response to nitrogen (N) and atmospheric carbon dioxide (CO2) enrichment with meta-analyses of observations from similar experimental manipulations. In control simulations, successive versions of CLM showed a poleward increase in gross primary productivity and an overall bias reduction, compared to FLUXNET-MTE observations. Simulations with N and CO2 enrichment demonstrate that CLM transitioned from a model that exhibited strong nitrogen limitation of the terrestrial carbon cycle (CLM4) to a model that showed greater responsiveness to elevated concentrations of CO2 in the atmosphere (CLM5). Overall, CLM5 simulations showed better agreement with observed ecosystem responses to experimental N and CO2 enrichment than previous versions of the model. These simulations also exposed shortcomings in structural assumptions and parameterizations. Specifically, no version of CLM captures changes in plant physiology, allocation, and nutrient uptake that are likely important aspects of terrestrial ecosystems' responses to environmental change. These highlight priority areas that should be addressed in future model developments. Moving forward, incorporating results from experimental manipulations into model benchmarking tools that are used to evaluate model performance will help increase confidence in terrestrial carbon cycle projections. © 2019. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160104
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, United States; Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, United States; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, United States
Recommended Citation:
Wieder W.R.,Lawrence D.M.,Fisher R.A.,et al. Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions[J]. Global Biogeochemical Cycles,2019-01-01,33(10)