Scale dependence of canopy trait distributions along a tropical forest elevation gradient

Autores
Asner, Gregory P.; Martin, Roberta E.; Anderson, Christopher Brian; Kryston, Katherine; Vaughn, Nicholas; Knapp, David E.; Bentley, Lisa Patrick; Shenkin, Alexander; Salinas, Norma; Sinca, Felipe; Tupayachi, Raul; Quispe Huaypar, Katherine; Montoya Pillco, Milenka; Ccori Álvarez, Flor Delis; Díaz, Sandra Myrna; Enquist, Brian J.; Malhi, Yadvinder
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Martin, Roberta E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Anderson, Christopher Brian. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kryston, Katherine. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Vaughn, Nicholas. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Knapp, David E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Bentley, Lisa Patrick. University of Oxford; Reino Unido
Fil: Shenkin, Alexander. University of Oxford; Reino Unido
Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú
Fil: Sinca, Felipe. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Tupayachi, Raul. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Quispe Huaypar, Katherine. Universidad Nacional de San Antonio Abad del Cusco; Perú
Fil: Montoya Pillco, Milenka. Universidad Nacional de San Antonio Abad del Cusco; Perú
Fil: Ccori Álvarez, Flor Delis. Universidad Nacional de San Antonio Abad del Cusco; Perú
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
Fil: Enquist, Brian J.. Arizona State University; Estados Unidos
Fil: Malhi, Yadvinder. University of Oxford; Reino Unido
Materia
CANOPY CHEMISTRY
CARNEGIE AIRBORNE OBSERVATORY
PERU
PLANT FUNCTIONAL TRAITS
TRAIT DISTRIBUTIONS
TRAIT SCALING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/51006
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/51006
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Scale dependence of canopy trait distributions along a tropical forest elevation gradientAsner, Gregory P.Martin, Roberta E.Anderson, Christopher BrianKryston, KatherineVaughn, NicholasKnapp, David E.Bentley, Lisa PatrickShenkin, AlexanderSalinas, NormaSinca, FelipeTupayachi, RaulQuispe Huaypar, KatherineMontoya Pillco, MilenkaCcori Álvarez, Flor DelisDíaz, Sandra MyrnaEnquist, Brian J.Malhi, YadvinderCANOPY CHEMISTRYCARNEGIE AIRBORNE OBSERVATORYPERUPLANT FUNCTIONAL TRAITSTRAIT DISTRIBUTIONSTRAIT SCALINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Average 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.Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Martin, Roberta E.. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Anderson, Christopher Brian. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kryston, Katherine. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Vaughn, Nicholas. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Knapp, David E.. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Bentley, Lisa Patrick. University of Oxford; Reino UnidoFil: Shenkin, Alexander. University of Oxford; Reino UnidoFil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; PerúFil: Sinca, Felipe. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Tupayachi, Raul. Carnegie Institution for Science. Department of Global Ecology; Estados UnidosFil: Quispe Huaypar, Katherine. Universidad Nacional de San Antonio Abad del Cusco; PerúFil: Montoya Pillco, Milenka. Universidad Nacional de San Antonio Abad del Cusco; PerúFil: Ccori Álvarez, Flor Delis. Universidad Nacional de San Antonio Abad del Cusco; PerúFil: 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; ArgentinaFil: Enquist, Brian J.. Arizona State University; Estados UnidosFil: Malhi, Yadvinder. University of Oxford; Reino UnidoWiley Blackwell Publishing, Inc2017-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/51006Asner, 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; 973-9880028-646X1469-8137CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://nph.onlinelibrary.wiley.com/doi/abs/10.1111/nph.14068info:eu-repo/semantics/altIdentifier/doi/10.1111/nph.14068info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:53Zoai:ri.conicet.gov.ar:11336/51006instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:49:53.862CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Scale dependence of canopy trait distributions along a tropical forest elevation gradient
title Scale dependence of canopy trait distributions along a tropical forest elevation gradient
spellingShingle Scale dependence of canopy trait distributions along a tropical forest elevation gradient
Asner, Gregory P.
CANOPY CHEMISTRY
CARNEGIE AIRBORNE OBSERVATORY
PERU
PLANT FUNCTIONAL TRAITS
TRAIT DISTRIBUTIONS
TRAIT SCALING
title_short Scale dependence of canopy trait distributions along a tropical forest elevation gradient
title_full Scale dependence of canopy trait distributions along a tropical forest elevation gradient
title_fullStr Scale dependence of canopy trait distributions along a tropical forest elevation gradient
title_full_unstemmed Scale dependence of canopy trait distributions along a tropical forest elevation gradient
title_sort Scale dependence of canopy trait distributions along a tropical forest elevation gradient
dc.creator.none.fl_str_mv Asner, Gregory P.
Martin, Roberta E.
Anderson, Christopher Brian
Kryston, Katherine
Vaughn, Nicholas
Knapp, David E.
Bentley, Lisa Patrick
Shenkin, Alexander
Salinas, Norma
Sinca, Felipe
Tupayachi, Raul
Quispe Huaypar, Katherine
Montoya Pillco, Milenka
Ccori Álvarez, Flor Delis
Díaz, Sandra Myrna
Enquist, Brian J.
Malhi, Yadvinder
author Asner, Gregory P.
author_facet Asner, Gregory P.
Martin, Roberta E.
Anderson, Christopher Brian
Kryston, Katherine
Vaughn, Nicholas
Knapp, David E.
Bentley, Lisa Patrick
Shenkin, Alexander
Salinas, Norma
Sinca, Felipe
Tupayachi, Raul
Quispe Huaypar, Katherine
Montoya Pillco, Milenka
Ccori Álvarez, Flor Delis
Díaz, Sandra Myrna
Enquist, Brian J.
Malhi, Yadvinder
author_role author
author2 Martin, Roberta E.
Anderson, Christopher Brian
Kryston, Katherine
Vaughn, Nicholas
Knapp, David E.
Bentley, Lisa Patrick
Shenkin, Alexander
Salinas, Norma
Sinca, Felipe
Tupayachi, Raul
Quispe Huaypar, Katherine
Montoya Pillco, Milenka
Ccori Álvarez, Flor Delis
Díaz, Sandra Myrna
Enquist, Brian J.
Malhi, Yadvinder
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CANOPY CHEMISTRY
CARNEGIE AIRBORNE OBSERVATORY
PERU
PLANT FUNCTIONAL TRAITS
TRAIT DISTRIBUTIONS
TRAIT SCALING
topic CANOPY CHEMISTRY
CARNEGIE AIRBORNE OBSERVATORY
PERU
PLANT FUNCTIONAL TRAITS
TRAIT DISTRIBUTIONS
TRAIT SCALING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Martin, Roberta E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Anderson, Christopher Brian. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kryston, Katherine. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Vaughn, Nicholas. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Knapp, David E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Bentley, Lisa Patrick. University of Oxford; Reino Unido
Fil: Shenkin, Alexander. University of Oxford; Reino Unido
Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú
Fil: Sinca, Felipe. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Tupayachi, Raul. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos
Fil: Quispe Huaypar, Katherine. Universidad Nacional de San Antonio Abad del Cusco; Perú
Fil: Montoya Pillco, Milenka. Universidad Nacional de San Antonio Abad del Cusco; Perú
Fil: Ccori Álvarez, Flor Delis. Universidad Nacional de San Antonio Abad del Cusco; Perú
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
Fil: Enquist, Brian J.. Arizona State University; Estados Unidos
Fil: Malhi, Yadvinder. University of Oxford; Reino Unido
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/51006
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
0028-646X
1469-8137
CONICET Digital
CONICET
url http://hdl.handle.net/11336/51006
identifier_str_mv 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
0028-646X
1469-8137
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://nph.onlinelibrary.wiley.com/doi/abs/10.1111/nph.14068
info:eu-repo/semantics/altIdentifier/doi/10.1111/nph.14068
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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