气候变化领域集成服务门户(CCPortal): Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model

CCPortal

DOI	10.1111/ele.12804
	Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model
	Xu X.; Medvigy D.; Joseph Wright S.; Kitajima K.; Wu J.; Albert L.P.; Martins G.A.; Saleska S.R.; Pacala S.W.
发表日期	2017
ISSN	1461-023X
EISSN	1461-0248
卷号	20 期号:9
英文摘要	Leaf longevity (LL) varies more than 20-fold in tropical evergreen forests, but it remains unclear how to capture these variations using predictive models. Current theories of LL that are based on carbon optimisation principles are challenging to quantitatively assess because of uncertainty across species in the ‘ageing rate:’ the rate at which leaf photosynthetic capacity declines with age. Here, we present a meta-analysis of 49 species across temperate and tropical biomes, demonstrating that the ageing rate of photosynthetic capacity is positively correlated with the mass-based carboxylation rate of mature leaves. We assess an improved trait-driven carbon optimality model with in situLL data for 105 species in two Panamanian forests. We show that our model explains over 40% of the cross-species variation in LL under contrasting light environment. Collectively, our results reveal how variation in LL emerges from carbon optimisation constrained by both leaf structural traits and abiotic environment. © 2017 John Wiley & Sons Ltd/CNRS
英文关键词	Carbon optimisation; functional trait; leaf ageing; leaf economics spectrum; leaf longevity; modelling; photosynthesis
学科领域	carbon; forest; meta analysis; photosynthesis; plant leaf; tree; tropic climate; Carbon; Forests; Photosynthesis; Plant Leaves; Trees; Tropical Climate
语种	英语
scopus关键词	carbon; forest; meta analysis; photosynthesis; plant leaf; tree; tropic climate; Carbon; Forests; Photosynthesis; Plant Leaves; Trees; Tropical Climate
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118345
作者单位	Department of Geosciences, Princeton University, Princeton, NJ 08544, United States; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, United States; Smithsonian Tropical Research Institute, ApartadoBalboa 0843-03092, Panama; Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan; Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, NY 11973, United States; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, United States; National Institute of Amazonian Research – INPA, Petrópolis, Brazil; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States
推荐引用方式 GB/T 7714	Xu X.,Medvigy D.,Joseph Wright S.,et al. Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model[J],2017,20(9).
APA	Xu X..,Medvigy D..,Joseph Wright S..,Kitajima K..,Wu J..,...&Pacala S.W..(2017).Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model.Ecology Letters,20(9).
MLA	Xu X.,et al."Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model".Ecology Letters 20.9(2017).