Covariance of Sun and Shade Leaf Traits Along a Tropical Forest Elevation Gradient

dc.contributor.affiliationPontificia Universidad Católica del Perú. Sección Química
dc.contributor.authorMartin, R.
dc.contributor.authorAsner, G.
dc.contributor.authorBentley, L.
dc.contributor.authorShenkin, A.F.
dc.contributor.authorSalinas Revilla, N.
dc.contributor.authorHuaypar, K.Q.
dc.contributor.authorPillco, M.M.
dc.contributor.authorCcori Álvarez, F.D.
dc.contributor.authorEnquist, B.J.
dc.contributor.authorDíaz, S.
dc.contributor.authorMalhi, Y.
dc.date.accessioned2026-03-13T16:58:19Z
dc.date.issued2020
dc.description.abstractFoliar trait adaptation to sun and shade has been extensively studied in the context of photosynthetic performance of plants, focusing on nitrogen allocation, light capture and use via chlorophyll pigments and leaf morphology; however, less is known about the potential sun-shade dichotomy of other functionally important foliar traits. In this study, we measured 19 traits in paired sun and shade leaves along a 3500 m elevation gradient in southern Peru to test whether the traits differ with canopy position, and to assess if relative differences vary with species composition and/or environmental filters. We found significant sun-shade differences in leaf mass per area (LMA), photosynthetic pigments (Chl and Car) and d13C. Sun-shade offsets among these traits remained constant with elevation, soil substrates and species compositional changes. However, other foliar traits related to structure and chemical defense, and those defining general metabolic processes, did not differ with canopy position. Our results suggest that whole-canopy function is captured in many traits of sun leaves; however, photosynthesis-related traits must be scaled based on canopy light extinction. These findings show that top-of-canopy measurements of foliar chemistry from spectral remote sensing approaches map directly to whole-canopy foliar traits including shaded leaves that cannot be directly observed from above.
dc.description.sponsorshipFunding: This work is a product of the Global Ecosystems Monitoring (GEM) network (gem.tropicalforests.ox.ac.uk), the Andes Biodiversity and Ecosystems Research Group ABERG (andesresearch.org), the Amazon Forest Inventory Network RAINFOR (www.rainfor.org), and the Spectranomics Project (https://gao.asu.edu/spectranomics-protocols) research consortia. We thank the Servicio Nacional de ?reas Naturales Protegidas por el Estado (SERNANP) and personnel of Manu and Tambopata National Parks for logistical assistance and permission to work in the protected areas. We also thank the Explorers' Inn and the Pontifical Catholic University of Peru, as well as ACCA for use of the Tambopata and Wayqecha Research Stations, respectively. We are indebted to Professor Eric Cosio (Pontifical Catholic University of Peru) for assistance with research permissions and sample analysis and storage.; Funding text 2: The field campaign was funded by grants to YM from the UK Natural Environment Research Council (Grant NE/J023418/1), with additional support from European Research Council advanced investigator grants GEM-TRAITS (321131) and T-FORCES (291585) under the European Union's Seventh Framework Programme (FP7/2007-2013). GA and the
dc.identifier.doihttps://doi.org/10.3389/fpls.2019.01810
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205850
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.ispartofurn:issn:1664-462X
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceFrontiers in Plant Science; Vol. 10 (2020)
dc.subjectTropical forest
dc.subjectElevation (ballistics)
dc.subjectElevation angle
dc.subjectCovariance
dc.subjectEnvironmental science
dc.subjectBiology
dc.subjectEcology
dc.subjectMathematics
dc.subjectStatistics
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.00
dc.titleCovariance of Sun and Shade Leaf Traits Along a Tropical Forest Elevation Gradient
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.otherArtículo
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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