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

TitleVariations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model
Authors
Keywordsleaf ageing
Carbon optimisation
functional trait
leaf economics spectrum
leaf longevity
modelling
photosynthesis
Issue Date2017
Citation
Ecology Letters, 2017, v. 20, n. 9, p. 1097-1106 How to Cite?
Abstract© 2017 John Wiley & Sons Ltd/CNRS 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.
Persistent Identifierhttp://hdl.handle.net/10722/266796
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 4.497
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Xiangtao-
dc.contributor.authorMedvigy, David-
dc.contributor.authorJoseph Wright, Stuart-
dc.contributor.authorKitajima, Kaoru-
dc.contributor.authorWu, Jin-
dc.contributor.authorAlbert, Loren P.-
dc.contributor.authorMartins, Giordane A.-
dc.contributor.authorSaleska, Scott R.-
dc.contributor.authorPacala, Stephen W.-
dc.date.accessioned2019-01-31T07:19:37Z-
dc.date.available2019-01-31T07:19:37Z-
dc.date.issued2017-
dc.identifier.citationEcology Letters, 2017, v. 20, n. 9, p. 1097-1106-
dc.identifier.issn1461-023X-
dc.identifier.urihttp://hdl.handle.net/10722/266796-
dc.description.abstract© 2017 John Wiley & Sons Ltd/CNRS 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.-
dc.languageeng-
dc.relation.ispartofEcology Letters-
dc.subjectleaf ageing-
dc.subjectCarbon optimisation-
dc.subjectfunctional trait-
dc.subjectleaf economics spectrum-
dc.subjectleaf longevity-
dc.subjectmodelling-
dc.subjectphotosynthesis-
dc.titleVariations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/ele.12804-
dc.identifier.pmid28677343-
dc.identifier.scopuseid_2-s2.0-85021723500-
dc.identifier.volume20-
dc.identifier.issue9-
dc.identifier.spage1097-
dc.identifier.epage1106-
dc.identifier.eissn1461-0248-
dc.identifier.isiWOS:000407391900001-
dc.identifier.issnl1461-023X-

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