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Variations of leaf longevity in tropical moist forests predicted by a trait‐driven carbon optimality model

Authors :
Giordane Martins
S. J. Wright
Stephen W. Pacala
Loren P. Albert
Jin Wu
Scott R. Saleska
Xiangtao Xu
David Medvigy
Kaoru Kitajima
Source :
Ecology Letters. 20:1097-1106
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

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.

Details

ISSN :
14610248 and 1461023X
Volume :
20
Database :
OpenAIRE
Journal :
Ecology Letters
Accession number :
edsair.doi.dedup.....e31ef34ce0deaa46a79d719c5c70af79
Full Text :
https://doi.org/10.1111/ele.12804