气候变化领域集成服务门户(CCPortal): Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions

CCPortal

DOI	10.1029/2018GB006141
	Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions
	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.
发表日期	2019
ISSN	0886-6236
EISSN	1944-9224
起始页码	1289
结束页码	1309
卷号	33 期号:10
英文摘要	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.
英文关键词	biogeochemistry; Community Land Model; elevated CO2; land model; nitrogen enrichment
语种	英语
scopus关键词	biogeochemistry; carbon cycle; carbon dioxide; environmental change; nitrogen; nutrient uptake; terrestrial ecosystem
来源期刊	Global Biogeochemical Cycles
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/129709
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
推荐引用方式 GB/T 7714	Wieder W.R.,Lawrence D.M.,Fisher R.A.,et al. Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions[J],2019,33(10).
APA	Wieder W.R..,Lawrence D.M..,Fisher R.A..,Bonan G.B..,Cheng S.J..,...&Thomas R.Q..(2019).Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions.Global Biogeochemical Cycles,33(10).
MLA	Wieder W.R.,et al."Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions".Global Biogeochemical Cycles 33.10(2019).