globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12804
Scopus记录号: 2-s2.0-85021723500
论文题名:
Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model
作者: Xu X.; Medvigy D.; Joseph Wright S.; Kitajima K.; Wu J.; Albert L.P.; Martins G.A.; Saleska S.R.; Pacala S.W.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期:9
起始页码: 1097
结束页码: 1106
语种: 英语
英文关键词: Carbon optimisation ; functional trait ; leaf ageing ; leaf economics spectrum ; leaf longevity ; modelling ; photosynthesis
Scopus关键词: carbon ; forest ; meta analysis ; photosynthesis ; plant leaf ; tree ; tropic climate ; Carbon ; Forests ; Photosynthesis ; Plant Leaves ; Trees ; Tropical Climate
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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107570
Appears in Collections:气候减缓与适应

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作者单位: Department of Geosciences, Princeton University, Princeton, NJ, United States; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, United States; Smithsonian Tropical Research Institute, ApartadoBalboa, Panama; Graduate School of Agriculture, Kyoto University, Kyoto, Japan; Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, NY, United States; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States; National Institute of Amazonian Research – INPA, Petrópolis, Brazil; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States

Recommended Citation:
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]. Ecology Letters,2017-01-01,20(9)
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