Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient

Autores
Durán, Sandra M.; Martin, Roberta E.; Díaz, Sandra Myrna; Maitner, Brian S.; Malhi, Yadvinder; Salinas, Norma; Shenkin, Alexander; Silman, Miles R.; Wieczynski, Daniel J.; Asner, Gregory P.; Bentley, Lisa Patrick; Savage, Van M.; Enquist, Brian J.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Spatially continuous data on functional diversity will improve our ability to predict global change impacts on ecosystem properties. We applied methods that combine imaging spectroscopy and foliar traits to estimate remotelysensed functional diversity in tropical forests across an Amazon-to-Andes elevation gradient (215 to 3537 m). We evaluated the scale dependency of community assembly processes and examined whether tropical forest productivitycould be predicted by remotely sensed functional diversity. Functional richness of the community decreased withincreasing elevation. Scale-dependent signals of trait convergence, consistent with environmental filtering, play animportant role in explaining the range of trait variation within each site and along elevation. Single- and multitraitremotely sensed measures of functional diversity were important predictors of variation in rates of net and grossprimary productivity. Our findings highlight the potential of remotely sensed functional diversity to inform trait-based ecology and trait diversity-ecosystem function linkages in hyperdiverse tropical forests.
Fil: Durán, Sandra M.. University of Arizona; Estados Unidos
Fil: Martin, Roberta E.. Arizona State University; Estados Unidos
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: Maitner, Brian S.. Arizona State University; Estados Unidos
Fil: Malhi, Yadvinder. University of Oxford; Reino Unido
Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú
Fil: Shenkin, Alexander. University of Oxford; Reino Unido
Fil: Silman, Miles R.. Wake Forest University; Estados Unidos
Fil: Wieczynski, Daniel J.. University of Oxford; Reino Unido
Fil: Asner, Gregory P.. Arizona State University; Estados Unidos
Fil: Bentley, Lisa Patrick. Sonoma State University; Estados Unidos
Fil: Savage, Van M.. University of California; Estados Unidos
Fil: Enquist, Brian J.. Arizona State University; Estados Unidos
Materia
Functional diversity
Tropical forest productivity
Functional richness
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:11336/116152
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradientDurán, Sandra M.Martin, Roberta E.Díaz, Sandra MyrnaMaitner, Brian S.Malhi, YadvinderSalinas, NormaShenkin, AlexanderSilman, Miles R.Wieczynski, Daniel J.Asner, Gregory P.Bentley, Lisa PatrickSavage, Van M.Enquist, Brian J.Functional diversityTropical forest productivityFunctional richnesshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Spatially continuous data on functional diversity will improve our ability to predict global change impacts on ecosystem properties. We applied methods that combine imaging spectroscopy and foliar traits to estimate remotelysensed functional diversity in tropical forests across an Amazon-to-Andes elevation gradient (215 to 3537 m). We evaluated the scale dependency of community assembly processes and examined whether tropical forest productivitycould be predicted by remotely sensed functional diversity. Functional richness of the community decreased withincreasing elevation. Scale-dependent signals of trait convergence, consistent with environmental filtering, play animportant role in explaining the range of trait variation within each site and along elevation. Single- and multitraitremotely sensed measures of functional diversity were important predictors of variation in rates of net and grossprimary productivity. Our findings highlight the potential of remotely sensed functional diversity to inform trait-based ecology and trait diversity-ecosystem function linkages in hyperdiverse tropical forests.Fil: Durán, Sandra M.. University of Arizona; Estados UnidosFil: Martin, Roberta E.. Arizona State University; Estados UnidosFil: 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: Maitner, Brian S.. Arizona State University; Estados UnidosFil: Malhi, Yadvinder. University of Oxford; Reino UnidoFil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; PerúFil: Shenkin, Alexander. University of Oxford; Reino UnidoFil: Silman, Miles R.. Wake Forest University; Estados UnidosFil: Wieczynski, Daniel J.. University of Oxford; Reino UnidoFil: Asner, Gregory P.. Arizona State University; Estados UnidosFil: Bentley, Lisa Patrick. Sonoma State University; Estados UnidosFil: Savage, Van M.. University of California; Estados UnidosFil: Enquist, Brian J.. Arizona State University; Estados UnidosAmerican Association for the Advancement of Science2019-12-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/116152Durán, Sandra M.; Martin, Roberta E.; Díaz, Sandra Myrna; Maitner, Brian S.; Malhi, Yadvinder; et al.; Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient; American Association for the Advancement of Science; Science Advances; 5; 12; 4-12-2019; eaaw81142375-2548CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://advances.sciencemag.org/content/5/12/eaaw8114info:eu-repo/semantics/altIdentifier/doi/10.1126/sciadv.aaw8114info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:56Zoai:ri.conicet.gov.ar:11336/116152instacron: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:34982025-09-03 10:07:56.81CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
title Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
spellingShingle Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
Durán, Sandra M.
Functional diversity
Tropical forest productivity
Functional richness
title_short Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
title_full Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
title_fullStr Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
title_full_unstemmed Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
title_sort Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient
dc.creator.none.fl_str_mv Durán, Sandra M.
Martin, Roberta E.
Díaz, Sandra Myrna
Maitner, Brian S.
Malhi, Yadvinder
Salinas, Norma
Shenkin, Alexander
Silman, Miles R.
Wieczynski, Daniel J.
Asner, Gregory P.
Bentley, Lisa Patrick
Savage, Van M.
Enquist, Brian J.
author Durán, Sandra M.
author_facet Durán, Sandra M.
Martin, Roberta E.
Díaz, Sandra Myrna
Maitner, Brian S.
Malhi, Yadvinder
Salinas, Norma
Shenkin, Alexander
Silman, Miles R.
Wieczynski, Daniel J.
Asner, Gregory P.
Bentley, Lisa Patrick
Savage, Van M.
Enquist, Brian J.
author_role author
author2 Martin, Roberta E.
Díaz, Sandra Myrna
Maitner, Brian S.
Malhi, Yadvinder
Salinas, Norma
Shenkin, Alexander
Silman, Miles R.
Wieczynski, Daniel J.
Asner, Gregory P.
Bentley, Lisa Patrick
Savage, Van M.
Enquist, Brian J.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Functional diversity
Tropical forest productivity
Functional richness
topic Functional diversity
Tropical forest productivity
Functional richness
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Spatially continuous data on functional diversity will improve our ability to predict global change impacts on ecosystem properties. We applied methods that combine imaging spectroscopy and foliar traits to estimate remotelysensed functional diversity in tropical forests across an Amazon-to-Andes elevation gradient (215 to 3537 m). We evaluated the scale dependency of community assembly processes and examined whether tropical forest productivitycould be predicted by remotely sensed functional diversity. Functional richness of the community decreased withincreasing elevation. Scale-dependent signals of trait convergence, consistent with environmental filtering, play animportant role in explaining the range of trait variation within each site and along elevation. Single- and multitraitremotely sensed measures of functional diversity were important predictors of variation in rates of net and grossprimary productivity. Our findings highlight the potential of remotely sensed functional diversity to inform trait-based ecology and trait diversity-ecosystem function linkages in hyperdiverse tropical forests.
Fil: Durán, Sandra M.. University of Arizona; Estados Unidos
Fil: Martin, Roberta E.. Arizona State University; Estados Unidos
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: Maitner, Brian S.. Arizona State University; Estados Unidos
Fil: Malhi, Yadvinder. University of Oxford; Reino Unido
Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú
Fil: Shenkin, Alexander. University of Oxford; Reino Unido
Fil: Silman, Miles R.. Wake Forest University; Estados Unidos
Fil: Wieczynski, Daniel J.. University of Oxford; Reino Unido
Fil: Asner, Gregory P.. Arizona State University; Estados Unidos
Fil: Bentley, Lisa Patrick. Sonoma State University; Estados Unidos
Fil: Savage, Van M.. University of California; Estados Unidos
Fil: Enquist, Brian J.. Arizona State University; Estados Unidos
description Spatially continuous data on functional diversity will improve our ability to predict global change impacts on ecosystem properties. We applied methods that combine imaging spectroscopy and foliar traits to estimate remotelysensed functional diversity in tropical forests across an Amazon-to-Andes elevation gradient (215 to 3537 m). We evaluated the scale dependency of community assembly processes and examined whether tropical forest productivitycould be predicted by remotely sensed functional diversity. Functional richness of the community decreased withincreasing elevation. Scale-dependent signals of trait convergence, consistent with environmental filtering, play animportant role in explaining the range of trait variation within each site and along elevation. Single- and multitraitremotely sensed measures of functional diversity were important predictors of variation in rates of net and grossprimary productivity. Our findings highlight the potential of remotely sensed functional diversity to inform trait-based ecology and trait diversity-ecosystem function linkages in hyperdiverse tropical forests.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-04
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/11336/116152
Durán, Sandra M.; Martin, Roberta E.; Díaz, Sandra Myrna; Maitner, Brian S.; Malhi, Yadvinder; et al.; Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient; American Association for the Advancement of Science; Science Advances; 5; 12; 4-12-2019; eaaw8114
2375-2548
CONICET Digital
CONICET
url http://hdl.handle.net/11336/116152
identifier_str_mv Durán, Sandra M.; Martin, Roberta E.; Díaz, Sandra Myrna; Maitner, Brian S.; Malhi, Yadvinder; et al.; Informing trait-based ecology by assessing remotely sensed functional diversity across a broad tropical temperature gradient; American Association for the Advancement of Science; Science Advances; 5; 12; 4-12-2019; eaaw8114
2375-2548
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://advances.sciencemag.org/content/5/12/eaaw8114
info:eu-repo/semantics/altIdentifier/doi/10.1126/sciadv.aaw8114
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
dc.publisher.none.fl_str_mv American Association for the Advancement of Science
publisher.none.fl_str_mv American Association for the Advancement of Science
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 13.13397

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