Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy

The scarcity of empirical data on leaf respiration (R) and its temperature sensitivity (e.g. Q10, defined as the proportional increase in R per 10 °C warming) causes uncertainty in current estimates of net primary productivity of tropical forests. We measured temperature response curves of R on 123...

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Fecha de publicación:
2014
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24103
Acceso en línea:
https://doi.org/10.1111/1365-2435.12263
https://repository.urosario.edu.co/handle/10336/24103
Palabra clave:
Carbon flux
Climate change
Gas exchange
Leaf functional traits
NPP
Panama
Q10
Temperature response of respiration
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id EDOCUR2_6ccf61aa6b4db3a9a47698b0e4d23c53
oai_identifier_str oai:repository.urosario.edu.co:10336/24103
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 3d9cb43b-ed98-4ebf-8e0a-40d651f7f019-11ecf3d33-9684-4ea9-9864-79b4e9091589-199c97b50-92a5-4e62-8298-63c8f81f9baa-1c9ce688b-e25b-4565-9662-f5f898c9c2ee-12020-05-26T00:08:40Z2020-05-26T00:08:40Z2014The scarcity of empirical data on leaf respiration (R) and its temperature sensitivity (e.g. Q10, defined as the proportional increase in R per 10 °C warming) causes uncertainty in current estimates of net primary productivity of tropical forests. We measured temperature response curves of R on 123 upper-canopy leaves of 28 species of trees and lianas from a tropical forest in Panama and analysed variations in R and Q10 in relation to other leaf functional traits. Respiration rates per leaf area at 25 °C (RA) varied widely among species and were significantly higher in trees than in lianas. RA was best predicted by a multiple regression model containing leaf phosphorus concentration, photosynthetic capacity and leaf mass per area (r2 = 0·64). The mean Q10 value (2·4) was significantly higher than the commonly assumed value of 2·0. Q10 was best predicted by the combination of leaf carbohydrate concentration and growth form (trees vs lianas) (r2 = 0·26). The night-time leaf respiratory carbon flux from this tropical forest was calculated from these multiple regression models to be 4·5 Mg C ha-1 year-1, with an estimated additional 2·9 Mg C ha-1 year-1 being released by respiration during the day. Trait-based modelling has potential for estimating R, thus facilitating carbon flux estimation in species-rich tropical forests. However, in contrast to global analyses, leaf phosphorus content was the most important correlate of R and not leaf nitrogen, so calibration of trait models to the tropics will be important. Leaf traits are poor predictors of Q10 values, and more empirical data on the temperature sensitivity of respiration are critically needed to further improve our ability to scale temperature-dependent respiration in species-rich tropical forests. © 2014 British Ecological Society.application/pdfhttps://doi.org/10.1111/1365-2435.122630269846313652435https://repository.urosario.edu.co/handle/10336/24103engBlackwell Publishing Ltd1086No. 51074Functional EcologyVol. 28Functional Ecology, ISSN:02698463, 13652435, Vol.28, No.5 (2014); pp. 1074-1086https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908293085&doi=10.1111%2f1365-2435.12263&partnerID=40&md5=da433e9f1f8c883d0cae5bdbf3f3ababAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCarbon fluxClimate changeGas exchangeLeaf functional traitsNPPPanamaQ10Temperature response of respirationTrait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopyarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Slot, MartijnRey?Sánchez, CamiloWinter, KlausKitajima, Kaoru10336/24103oai:repository.urosario.edu.co:10336/241032022-05-02 07:37:14.848732https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
title Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
spellingShingle Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
Carbon flux
Climate change
Gas exchange
Leaf functional traits
NPP
Panama
Q10
Temperature response of respiration
title_short Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
title_full Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
title_fullStr Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
title_full_unstemmed Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
title_sort Trait-based scaling of temperature-dependent foliar respiration in a species-rich tropical forest canopy
dc.subject.keyword.spa.fl_str_mv Carbon flux
Climate change
Gas exchange
Leaf functional traits
NPP
Panama
Q10
Temperature response of respiration
topic Carbon flux
Climate change
Gas exchange
Leaf functional traits
NPP
Panama
Q10
Temperature response of respiration
description The scarcity of empirical data on leaf respiration (R) and its temperature sensitivity (e.g. Q10, defined as the proportional increase in R per 10 °C warming) causes uncertainty in current estimates of net primary productivity of tropical forests. We measured temperature response curves of R on 123 upper-canopy leaves of 28 species of trees and lianas from a tropical forest in Panama and analysed variations in R and Q10 in relation to other leaf functional traits. Respiration rates per leaf area at 25 °C (RA) varied widely among species and were significantly higher in trees than in lianas. RA was best predicted by a multiple regression model containing leaf phosphorus concentration, photosynthetic capacity and leaf mass per area (r2 = 0·64). The mean Q10 value (2·4) was significantly higher than the commonly assumed value of 2·0. Q10 was best predicted by the combination of leaf carbohydrate concentration and growth form (trees vs lianas) (r2 = 0·26). The night-time leaf respiratory carbon flux from this tropical forest was calculated from these multiple regression models to be 4·5 Mg C ha-1 year-1, with an estimated additional 2·9 Mg C ha-1 year-1 being released by respiration during the day. Trait-based modelling has potential for estimating R, thus facilitating carbon flux estimation in species-rich tropical forests. However, in contrast to global analyses, leaf phosphorus content was the most important correlate of R and not leaf nitrogen, so calibration of trait models to the tropics will be important. Leaf traits are poor predictors of Q10 values, and more empirical data on the temperature sensitivity of respiration are critically needed to further improve our ability to scale temperature-dependent respiration in species-rich tropical forests. © 2014 British Ecological Society.
publishDate 2014
dc.date.created.spa.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:08:40Z
dc.date.available.none.fl_str_mv 2020-05-26T00:08:40Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1111/1365-2435.12263
dc.identifier.issn.none.fl_str_mv 02698463
13652435
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/24103
url https://doi.org/10.1111/1365-2435.12263
https://repository.urosario.edu.co/handle/10336/24103
identifier_str_mv 02698463
13652435
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 1086
dc.relation.citationIssue.none.fl_str_mv No. 5
dc.relation.citationStartPage.none.fl_str_mv 1074
dc.relation.citationTitle.none.fl_str_mv Functional Ecology
dc.relation.citationVolume.none.fl_str_mv Vol. 28
dc.relation.ispartof.spa.fl_str_mv Functional Ecology, ISSN:02698463, 13652435, Vol.28, No.5 (2014); pp. 1074-1086
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908293085&doi=10.1111%2f1365-2435.12263&partnerID=40&md5=da433e9f1f8c883d0cae5bdbf3f3abab
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Blackwell Publishing Ltd
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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