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dc.contributor.author
Asner, Gregory P.
dc.contributor.author
Martin, Roberta E.
dc.contributor.author
Anderson, Christopher Brian
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Kryston, Katherine
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Vaughn, Nicholas
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Knapp, David E.
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Bentley, Lisa Patrick
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Shenkin, Alexander
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Salinas, Norma
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Sinca, Felipe
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Tupayachi, Raul
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Quispe Huaypar, Katherine
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Montoya Pillco, Milenka
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Ccori Álvarez, Flor Delis
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Díaz, Sandra Myrna
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dc.contributor.author
Enquist, Brian J.
dc.contributor.author
Malhi, Yadvinder
dc.date.available
2018-07-03T15:01:27Z
dc.date.issued
2017-05
dc.identifier.citation
Asner, Gregory P.; Martin, Roberta E.; Anderson, Christopher Brian; Kryston, Katherine; Vaughn, Nicholas; et al.; Scale dependence of canopy trait distributions along a tropical forest elevation gradient; Wiley Blackwell Publishing, Inc; New Phytologist; 214; 3; 5-2017; 973-988
dc.identifier.issn
0028-646X
dc.identifier.uri
http://hdl.handle.net/11336/51006
dc.description.abstract
Average responses of forest foliar traits to elevation are well understood, but far less is known about trait distributional responses to elevation at multiple ecological scales. This limits our understanding of the ecological scales at which trait variation occurs in response to environmental drivers and change. We analyzed and compared multiple canopy foliar trait distributions using field sampling and airborne imaging spectroscopy along an Andes-to-Amazon elevation gradient. Field-estimated traits were generated from three community-weighting methods, and remotely sensed estimates of traits were made at three scales defined by sampling grain size and ecological extent. Field and remote sensing approaches revealed increases in average leaf mass per unit area (LMA), water, nonstructural carbohydrates (NSCs) and polyphenols with increasing elevation. Foliar nutrients and photosynthetic pigments displayed little to no elevation trend. Sample weighting approaches had little impact on field-estimated trait responses to elevation. Plot representativeness of trait distributions at landscape scales decreased with increasing elevation. Remote sensing indicated elevation-dependent increases in trait variance and distributional skew. Multiscale invariance of LMA, leaf water and NSC mark these traits as candidates for tracking forest responses to changing climate. Trait-based ecological studies can be greatly enhanced with multiscale studies made possible by imaging spectroscopy.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CANOPY CHEMISTRY
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CARNEGIE AIRBORNE OBSERVATORY
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PERU
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PLANT FUNCTIONAL TRAITS
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TRAIT DISTRIBUTIONS
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TRAIT SCALING
dc.subject.classification
Otras Ciencias Biológicas
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dc.subject.classification
Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
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dc.title
Scale dependence of canopy trait distributions along a tropical forest elevation gradient
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-06-11T12:59:45Z
dc.identifier.eissn
1469-8137
dc.journal.volume
214
dc.journal.number
3
dc.journal.pagination
973-988
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
dc.description.fil
Fil: Martin, Roberta E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
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Fil: Anderson, Christopher Brian. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Kryston, Katherine. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
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Fil: Vaughn, Nicholas. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
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Fil: Knapp, David E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
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Fil: Bentley, Lisa Patrick. University of Oxford; Reino Unido
dc.description.fil
Fil: Shenkin, Alexander. University of Oxford; Reino Unido
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Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú
dc.description.fil
Fil: Sinca, Felipe. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
dc.description.fil
Fil: Tupayachi, Raul. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
dc.description.fil
Fil: Quispe Huaypar, Katherine. Universidad Nacional de San Antonio Abad del Cusco; Perú
dc.description.fil
Fil: Montoya Pillco, Milenka. Universidad Nacional de San Antonio Abad del Cusco; Perú
dc.description.fil
Fil: Ccori Álvarez, Flor Delis. Universidad Nacional de San Antonio Abad del Cusco; Perú
dc.description.fil
Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
dc.description.fil
Fil: Enquist, Brian J.. Arizona State University; Estados Unidos
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Fil: Malhi, Yadvinder. University of Oxford; Reino Unido
dc.journal.title
New Phytologist
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://nph.onlinelibrary.wiley.com/doi/abs/10.1111/nph.14068
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/nph.14068
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