Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient
Descripción del Articulo
One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivi...
| Autores: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2017 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/1324 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/1324 https://doi.org/10.1111/ele.12771 |
| Nivel de acceso: | acceso abierto |
| Materia: | Tropical forests Andes Climate Functional traits Global ecosystem monitoring Modelling TFS https://purl.org/pe-repo/ocde/ford#1.06.13 |
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| dc.title.none.fl_str_mv |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| title |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| spellingShingle |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient Fyllas, Nikolaos M. Tropical forests Andes Climate Functional traits Global ecosystem monitoring Modelling TFS https://purl.org/pe-repo/ocde/ford#1.06.13 |
| title_short |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| title_full |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| title_fullStr |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| title_full_unstemmed |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| title_sort |
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient |
| author |
Fyllas, Nikolaos M. |
| author_facet |
Fyllas, Nikolaos M. Bentley, Lisa Patrick Shenkin, Alexander Asner, Gregory P. Atkin, Owen K. Díaz, Sandra Enquist, Brian J. Farfan-Rios, William Gloor, Emanuel Guerrieri, Rossella Huasco, Walter Huaraca Ishida, Yoko Martin, Roberta E. Meir, Patrick Phillips, Oliver Salinas, Norma Silman, Miles Weerasinghe, Lasantha K Zaragoza-Castells, Joana Malhi, Yadvinder |
| author_role |
author |
| author2 |
Bentley, Lisa Patrick Shenkin, Alexander Asner, Gregory P. Atkin, Owen K. Díaz, Sandra Enquist, Brian J. Farfan-Rios, William Gloor, Emanuel Guerrieri, Rossella Huasco, Walter Huaraca Ishida, Yoko Martin, Roberta E. Meir, Patrick Phillips, Oliver Salinas, Norma Silman, Miles Weerasinghe, Lasantha K Zaragoza-Castells, Joana Malhi, Yadvinder |
| author2_role |
author author author author author author author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Fyllas, Nikolaos M. Bentley, Lisa Patrick Shenkin, Alexander Asner, Gregory P. Atkin, Owen K. Díaz, Sandra Enquist, Brian J. Farfan-Rios, William Gloor, Emanuel Guerrieri, Rossella Huasco, Walter Huaraca Ishida, Yoko Martin, Roberta E. Meir, Patrick Phillips, Oliver Salinas, Norma Silman, Miles Weerasinghe, Lasantha K Zaragoza-Castells, Joana Malhi, Yadvinder |
| dc.subject.none.fl_str_mv |
Tropical forests |
| topic |
Tropical forests Andes Climate Functional traits Global ecosystem monitoring Modelling TFS https://purl.org/pe-repo/ocde/ford#1.06.13 |
| dc.subject.es_PE.fl_str_mv |
Andes Climate Functional traits Global ecosystem monitoring Modelling TFS |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.06.13 |
| description |
One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale. |
| publishDate |
2017 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2017-05-02 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/1324 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1111/ele.12771 |
| url |
https://hdl.handle.net/20.500.12390/1324 https://doi.org/10.1111/ele.12771 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
Ecology Letters |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Wiley |
| publisher.none.fl_str_mv |
Wiley |
| dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
| instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
| instacron_str |
CONCYTEC |
| institution |
CONCYTEC |
| reponame_str |
CONCYTEC-Institucional |
| collection |
CONCYTEC-Institucional |
| repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
| repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
| _version_ |
1844882997369634816 |
| spelling |
Publicationrp03871600rp03870600rp03869600rp03863600rp03868600rp03859600rp03853600rp03861600rp03867600rp03854600rp03872600rp03865600rp03855600rp03862600rp03860600rp03857600rp03864600rp03858600rp03866600rp03856600Fyllas, Nikolaos M.Bentley, Lisa PatrickShenkin, AlexanderAsner, Gregory P.Atkin, Owen K.Díaz, SandraEnquist, Brian J.Farfan-Rios, WilliamGloor, EmanuelGuerrieri, RossellaHuasco, Walter HuaracaIshida, YokoMartin, Roberta E.Meir, PatrickPhillips, OliverSalinas, NormaSilman, MilesWeerasinghe, Lasantha KZaragoza-Castells, JoanaMalhi, Yadvinder2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017-05-02https://hdl.handle.net/20.500.12390/1324https://doi.org/10.1111/ele.12771One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengWileyEcology Lettersinfo:eu-repo/semantics/openAccessTropical forestsAndes-1Climate-1Functional traits-1Global ecosystem monitoring-1Modelling-1TFS-1https://purl.org/pe-repo/ocde/ford#1.06.13-1Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradientinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/1324oai:repositorio.concytec.gob.pe:20.500.12390/13242024-05-30 16:02:47.364http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="8caa9a0a-0c90-4ad8-b8ab-9939b1287864"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient</Title> <PublishedIn> <Publication> <Title>Ecology Letters</Title> </Publication> </PublishedIn> <PublicationDate>2017-05-02</PublicationDate> <DOI>https://doi.org/10.1111/ele.12771</DOI> <Authors> <Author> <DisplayName>Fyllas, Nikolaos M.</DisplayName> <Person id="rp03871" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Bentley, Lisa Patrick</DisplayName> <Person id="rp03870" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Shenkin, Alexander</DisplayName> <Person id="rp03869" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Asner, Gregory P.</DisplayName> <Person id="rp03863" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Atkin, Owen K.</DisplayName> <Person id="rp03868" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Díaz, Sandra</DisplayName> <Person id="rp03859" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Enquist, Brian J.</DisplayName> <Person id="rp03853" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Farfan-Rios, William</DisplayName> <Person id="rp03861" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gloor, Emanuel</DisplayName> <Person id="rp03867" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Guerrieri, Rossella</DisplayName> <Person id="rp03854" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Huasco, Walter Huaraca</DisplayName> <Person id="rp03872" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ishida, Yoko</DisplayName> <Person id="rp03865" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Martin, Roberta E.</DisplayName> <Person id="rp03855" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Meir, Patrick</DisplayName> <Person id="rp03862" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Phillips, Oliver</DisplayName> <Person id="rp03860" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Salinas, Norma</DisplayName> <Person id="rp03857" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Silman, Miles</DisplayName> <Person id="rp03864" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Weerasinghe, Lasantha K</DisplayName> <Person id="rp03858" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Zaragoza-Castells, Joana</DisplayName> <Person id="rp03866" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Malhi, Yadvinder</DisplayName> <Person id="rp03856" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Wiley</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Tropical forests</Keyword> <Keyword>Andes</Keyword> <Keyword>Climate</Keyword> <Keyword>Functional traits</Keyword> <Keyword>Global ecosystem monitoring</Keyword> <Keyword>Modelling</Keyword> <Keyword>TFS</Keyword> <Abstract>One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.377223 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
