气候变化领域集成服务门户(CCPortal): Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data

CCPortal

DOI	10.1029/2019MS001679
	Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data
	Thomas R.Q.; Williams M.; Cavaleri M.A.; Exbrayat J.-F.; Smallman T.L.; Street L.E.
发表日期	2019
ISSN	19422466
起始页码	4629
结束页码	4644
卷号	11 期号:12
英文摘要	Leaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub-models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e.g., mass or area based) and the form of relationship (linear or nonlinear). To simulate vegetation responses to global change, some ESMs include ecological optimization to identify canopy structures that maximize net C accumulation. However, the implications for optimization of using alternate leaf-scale empirical Rleaf,m models are undetermined. Here we combine alternate well-known empirical models of Rleaf,m with a process model of canopy photosynthesis. We quantify how net canopy exports of C vary with leaf area index (LAI) and total canopy N (TCN). Using data from tropical and arctic canopies, we show that estimates of canopy Rleaf,m vary widely among the three models. Using an optimization framework, we show that the LAI and TCN values maximizing C export depends strongly on the Rleaf,m model used. No single model could match observed arctic and tropical LAI-TCN patterns with predictions of optimal LAI-TCN. We recommend caution in using leaf-scale empirical models for components of ESMs at canopy-scale. Rleaf,m models may produce reasonable results for a specified LAI, but, due to their varied representations of Rleaf,mfoliar N sensitivity, are associated with different and potentially unrealistic optimization dynamics at canopy scale. We recommend ESMs to be evaluated using response surfaces of canopy C export in LAI-TCN space to understand and mitigate these risks. ©2019. The Authors.
英文关键词	carbon; ecosystem modeling; nitrogen; optimization; respiration; scaling
语种	英语
scopus关键词	Carbon; Nitrogen; Optimization; Tropics; Canopy photosynthesis; Ecological optimization; Ecosystem model; Optimization framework; Optimization modeling; respiration; scaling; Terrestrial carbon cycle; Ecosystems; canopy exchange; carbon cycle; ecosystem modeling; empirical analysis; leaf area index; nitrogen; optimization; respiration
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156790
作者单位	Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, United States; School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom; National Centre for Earth Observation, University of Edinburgh, Edinburgh, United Kingdom; School of Forest Resources & Environmental Science, Michigan Technological University, Houghton, MI, United States
推荐引用方式 GB/T 7714	Thomas R.Q.,Williams M.,Cavaleri M.A.,et al. Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data[J],2019,11(12).
APA	Thomas R.Q.,Williams M.,Cavaleri M.A.,Exbrayat J.-F.,Smallman T.L.,&Street L.E..(2019).Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Thomas R.Q.,et al."Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data".Journal of Advances in Modeling Earth Systems 11.12(2019).