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...
- Autores:
- Tipo de recurso:
- 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
- Rights
- License
- Abierto (Texto Completo)
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oai:repository.urosario.edu.co:10336/24103 |
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Repositorio EdocUR - U. Rosario |
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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 |
_version_ |
1828160540263841792 |