Joint control of terrestrial gross primary productivity by plant phenology and physiology

Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddy–covariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period (CUP) and the seasonal maximal capacity of CO2 uptake (GPPmax). The product of CUP and GPPmax explained >90% of the temporal GPP variability in most areas of North America during 2000–2010 and the spatial GPP variation among globally distributed eddy flux tower sites. It also explained GPP response to the European heatwave in 2003 (r2 = 0.90) and GPP recovery after a fire disturbance in South Dakota (r2 = 0.88). Additional analysis of the eddy–covariance flux data shows that the interbiome variation in annual GPP is better explained by that in GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPPmax and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space.

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Main Authors: Xia, Jianyang, Niu, Shuli, Ciais, Philippe, Janssens, Ivan A., Chen, Jiquan, Ammann, Christof, Arain, M. Altaf, Blanken, Peter D., Cescatti, Alessandro, Bonnal, Damien, Buchmann, Nina, Curtis, Peter S., Chen, Shiping, Dong, Jinwei, Flanagan, Lawrence B., Frankenberg, Christian, Georgiadis, Teodoro, Gough, Christopher M., Hui, Dafeng, Kiely, Gérard, Li, Jianwei, Lund, Magnus, Magliulo, Vincenzo, Marcolla, Barbara, Merbold, Lutz, Montagnani, Leonardo, Moors, Eddy J., Olesen, Jørgen Eivind, Piao, Shilong, Raschi, Antonio, Roupsard, Olivier, Suyker, Andrew E., Urbaniak, Marek, Vaccari, Francesco Primo, Varlagin, Andrej, Vesala, Timo, Wilkinson, Matthew, Weng, Ensheng, Wohlfahrt, Georg, Yan, Liming, Luo, Yiqi
Format: article biblioteca
Language:eng
Published: National Academy of Sciences
Subjects:F62 - Physiologie végétale - Croissance et développement, U10 - Informatique, mathématiques et statistiques, phénologie, physiologie végétale, dioxyde de carbone, http://aims.fao.org/aos/agrovoc/c_5774, http://aims.fao.org/aos/agrovoc/c_25189, http://aims.fao.org/aos/agrovoc/c_1302,
Online Access:http://agritrop.cirad.fr/578759/
http://agritrop.cirad.fr/578759/2/Xia%20supporting%20material%202015.pdf
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institution CIRAD FR
collection DSpace
country Francia
countrycode FR
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databasecode dig-cirad-fr
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region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
phénologie
physiologie végétale
dioxyde de carbone
http://aims.fao.org/aos/agrovoc/c_5774
http://aims.fao.org/aos/agrovoc/c_25189
http://aims.fao.org/aos/agrovoc/c_1302
F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
phénologie
physiologie végétale
dioxyde de carbone
http://aims.fao.org/aos/agrovoc/c_5774
http://aims.fao.org/aos/agrovoc/c_25189
http://aims.fao.org/aos/agrovoc/c_1302
spellingShingle F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
phénologie
physiologie végétale
dioxyde de carbone
http://aims.fao.org/aos/agrovoc/c_5774
http://aims.fao.org/aos/agrovoc/c_25189
http://aims.fao.org/aos/agrovoc/c_1302
F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
phénologie
physiologie végétale
dioxyde de carbone
http://aims.fao.org/aos/agrovoc/c_5774
http://aims.fao.org/aos/agrovoc/c_25189
http://aims.fao.org/aos/agrovoc/c_1302
Xia, Jianyang
Niu, Shuli
Ciais, Philippe
Janssens, Ivan A.
Chen, Jiquan
Ammann, Christof
Arain, M. Altaf
Blanken, Peter D.
Cescatti, Alessandro
Bonnal, Damien
Buchmann, Nina
Curtis, Peter S.
Chen, Shiping
Dong, Jinwei
Flanagan, Lawrence B.
Frankenberg, Christian
Georgiadis, Teodoro
Gough, Christopher M.
Hui, Dafeng
Kiely, Gérard
Li, Jianwei
Lund, Magnus
Magliulo, Vincenzo
Marcolla, Barbara
Merbold, Lutz
Montagnani, Leonardo
Moors, Eddy J.
Olesen, Jørgen Eivind
Piao, Shilong
Raschi, Antonio
Roupsard, Olivier
Suyker, Andrew E.
Urbaniak, Marek
Vaccari, Francesco Primo
Varlagin, Andrej
Vesala, Timo
Wilkinson, Matthew
Weng, Ensheng
Wohlfahrt, Georg
Yan, Liming
Luo, Yiqi
Joint control of terrestrial gross primary productivity by plant phenology and physiology
description Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddy–covariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period (CUP) and the seasonal maximal capacity of CO2 uptake (GPPmax). The product of CUP and GPPmax explained >90% of the temporal GPP variability in most areas of North America during 2000–2010 and the spatial GPP variation among globally distributed eddy flux tower sites. It also explained GPP response to the European heatwave in 2003 (r2 = 0.90) and GPP recovery after a fire disturbance in South Dakota (r2 = 0.88). Additional analysis of the eddy–covariance flux data shows that the interbiome variation in annual GPP is better explained by that in GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPPmax and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space.
format article
topic_facet F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques
phénologie
physiologie végétale
dioxyde de carbone
http://aims.fao.org/aos/agrovoc/c_5774
http://aims.fao.org/aos/agrovoc/c_25189
http://aims.fao.org/aos/agrovoc/c_1302
author Xia, Jianyang
Niu, Shuli
Ciais, Philippe
Janssens, Ivan A.
Chen, Jiquan
Ammann, Christof
Arain, M. Altaf
Blanken, Peter D.
Cescatti, Alessandro
Bonnal, Damien
Buchmann, Nina
Curtis, Peter S.
Chen, Shiping
Dong, Jinwei
Flanagan, Lawrence B.
Frankenberg, Christian
Georgiadis, Teodoro
Gough, Christopher M.
Hui, Dafeng
Kiely, Gérard
Li, Jianwei
Lund, Magnus
Magliulo, Vincenzo
Marcolla, Barbara
Merbold, Lutz
Montagnani, Leonardo
Moors, Eddy J.
Olesen, Jørgen Eivind
Piao, Shilong
Raschi, Antonio
Roupsard, Olivier
Suyker, Andrew E.
Urbaniak, Marek
Vaccari, Francesco Primo
Varlagin, Andrej
Vesala, Timo
Wilkinson, Matthew
Weng, Ensheng
Wohlfahrt, Georg
Yan, Liming
Luo, Yiqi
author_facet Xia, Jianyang
Niu, Shuli
Ciais, Philippe
Janssens, Ivan A.
Chen, Jiquan
Ammann, Christof
Arain, M. Altaf
Blanken, Peter D.
Cescatti, Alessandro
Bonnal, Damien
Buchmann, Nina
Curtis, Peter S.
Chen, Shiping
Dong, Jinwei
Flanagan, Lawrence B.
Frankenberg, Christian
Georgiadis, Teodoro
Gough, Christopher M.
Hui, Dafeng
Kiely, Gérard
Li, Jianwei
Lund, Magnus
Magliulo, Vincenzo
Marcolla, Barbara
Merbold, Lutz
Montagnani, Leonardo
Moors, Eddy J.
Olesen, Jørgen Eivind
Piao, Shilong
Raschi, Antonio
Roupsard, Olivier
Suyker, Andrew E.
Urbaniak, Marek
Vaccari, Francesco Primo
Varlagin, Andrej
Vesala, Timo
Wilkinson, Matthew
Weng, Ensheng
Wohlfahrt, Georg
Yan, Liming
Luo, Yiqi
author_sort Xia, Jianyang
title Joint control of terrestrial gross primary productivity by plant phenology and physiology
title_short Joint control of terrestrial gross primary productivity by plant phenology and physiology
title_full Joint control of terrestrial gross primary productivity by plant phenology and physiology
title_fullStr Joint control of terrestrial gross primary productivity by plant phenology and physiology
title_full_unstemmed Joint control of terrestrial gross primary productivity by plant phenology and physiology
title_sort joint control of terrestrial gross primary productivity by plant phenology and physiology
publisher National Academy of Sciences
url http://agritrop.cirad.fr/578759/
http://agritrop.cirad.fr/578759/2/Xia%20supporting%20material%202015.pdf
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spelling dig-cirad-fr-5787592024-12-20T16:05:13Z http://agritrop.cirad.fr/578759/ http://agritrop.cirad.fr/578759/ Joint control of terrestrial gross primary productivity by plant phenology and physiology. Xia Jianyang, Niu Shuli, Ciais Philippe, Janssens Ivan A., Chen Jiquan, Ammann Christof, Arain M. Altaf, Blanken Peter D., Cescatti Alessandro, Bonnal Damien, Buchmann Nina, Curtis Peter S., Chen Shiping, Dong Jinwei, Flanagan Lawrence B., Frankenberg Christian, Georgiadis Teodoro, Gough Christopher M., Hui Dafeng, Kiely Gérard, Li Jianwei, Lund Magnus, Magliulo Vincenzo, Marcolla Barbara, Merbold Lutz, Montagnani Leonardo, Moors Eddy J., Olesen Jørgen Eivind, Piao Shilong, Raschi Antonio, Roupsard Olivier, Suyker Andrew E., Urbaniak Marek, Vaccari Francesco Primo, Varlagin Andrej, Vesala Timo, Wilkinson Matthew, Weng Ensheng, Wohlfahrt Georg, Yan Liming, Luo Yiqi. 2015. Proceedings of the National Academy of Sciences of the United States of America, 112 (9) : 2788-2793.https://doi.org/10.1073/pnas.1413090112 <https://doi.org/10.1073/pnas.1413090112> Joint control of terrestrial gross primary productivity by plant phenology and physiology Xia, Jianyang Niu, Shuli Ciais, Philippe Janssens, Ivan A. Chen, Jiquan Ammann, Christof Arain, M. Altaf Blanken, Peter D. Cescatti, Alessandro Bonnal, Damien Buchmann, Nina Curtis, Peter S. Chen, Shiping Dong, Jinwei Flanagan, Lawrence B. Frankenberg, Christian Georgiadis, Teodoro Gough, Christopher M. Hui, Dafeng Kiely, Gérard Li, Jianwei Lund, Magnus Magliulo, Vincenzo Marcolla, Barbara Merbold, Lutz Montagnani, Leonardo Moors, Eddy J. Olesen, Jørgen Eivind Piao, Shilong Raschi, Antonio Roupsard, Olivier Suyker, Andrew E. Urbaniak, Marek Vaccari, Francesco Primo Varlagin, Andrej Vesala, Timo Wilkinson, Matthew Weng, Ensheng Wohlfahrt, Georg Yan, Liming Luo, Yiqi eng 2015 National Academy of Sciences Proceedings of the National Academy of Sciences of the United States of America F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques phénologie physiologie végétale dioxyde de carbone http://aims.fao.org/aos/agrovoc/c_5774 http://aims.fao.org/aos/agrovoc/c_25189 http://aims.fao.org/aos/agrovoc/c_1302 Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddy–covariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period (CUP) and the seasonal maximal capacity of CO2 uptake (GPPmax). The product of CUP and GPPmax explained >90% of the temporal GPP variability in most areas of North America during 2000–2010 and the spatial GPP variation among globally distributed eddy flux tower sites. It also explained GPP response to the European heatwave in 2003 (r2 = 0.90) and GPP recovery after a fire disturbance in South Dakota (r2 = 0.88). Additional analysis of the eddy–covariance flux data shows that the interbiome variation in annual GPP is better explained by that in GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPPmax and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/578759/2/Xia%20supporting%20material%202015.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1073/pnas.1413090112 10.1073/pnas.1413090112 info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.1413090112 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1073/pnas.1413090112