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

Jianyang Xia; Shuli Niu; Philippe Ciais; Ivan A. Janssens; Jiquan Chen; Christof Ammann; Altaf Arain; Peter D. Blanken; Alessandro Cescatti; Damien Bonal; Nina Buchmann; Peter S. Curtis; Shiping Chen; Jinwei Dong; Lawrence B. Flanagan; Christian Frankenberg; Teodoro Georgiadis; Christopher M. Gough; Dafeng Hui; Gerard Kiely; Jianwei Li; Magnus Lund; Vincenzo Magliulo; Barbara Marcolla; Lutz Merbold; Leonardo Montagnani; Eddy J. Moors; Jørgen E. Olesen; Shilong Piao; Antonio Raschi; Olivier Roupsard; Andrew E. Suyker; Marek Urbaniak; Francesco P. Vaccari; Andrej Varlagin; Timo Vesala; Matthew Wilkinson; Ensheng Weng; Georg Wohlfahrt; Liming Yan; Yiqi Luo

doi:10.1073/pnas.1413090112

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

Jianyang Xia^*
, Shuli Niu
, Philippe Ciais
, Ivan A. Janssens
, Jiquan Chen
, Christof Ammann
, Altaf Arain
, Peter D. Blanken
, Alessandro Cescatti
, Damien Bonal
, Nina Buchmann
, Peter S. Curtis
, Shiping Chen
, Jinwei Dong
, Lawrence B. Flanagan
, Christian Frankenberg
, Teodoro Georgiadis
, Christopher M. Gough
, Dafeng Hui
, Gerard Kiely

Jianwei Li, Magnus Lund, Vincenzo Magliulo, Barbara Marcolla, Lutz Merbold, Leonardo Montagnani, Eddy J. Moors, Jørgen E. Olesen, Shilong Piao, Antonio Raschi, Olivier Roupsard, Andrew E. Suyker, Marek Urbaniak, Francesco P. Vaccari, Andrej Varlagin, Timo Vesala, Matthew Wilkinson, Ensheng Weng, Georg Wohlfahrt, Liming Yan, Yiqi Luo

^*Corresponding author for this work

University of Oklahoma
CAS - Institute of Geographical Sciences and Natural Resources Research
CEA CNRS UVSQ
University of Antwerp
Michigan State University
Agroscope
McMaster University
University of Colorado Boulder
European Commission Joint Research Centre
INRAE
Swiss Federal Institute of Technology Zurich
Ohio State University
CAS - Institute of Botany
University of Lethbridge
Jet Propulsion Laboratory, California Institute of Technology
Institute of Biometeorology
Virginia Commonwealth University
Tennessee State University
University College Cork
Aarhus University
National Research Council of Italy
Istituto Agrario San Michele all'Adige
Free University of Bozen-Bolzano
Wageningen University & Research
Peking University
CAS - Institute of Tibetan Plateau Research
Centre de coopération internationale en recherche agronomique pour le développement
Tropical Agricultural Research and Higher Education Center
University of Nebraska-Lincoln
Poznań University of Life Sciences
Russian Academy of Sciences
University of Helsinki
Forestry Commission England
Princeton University
University of Innsbruck
EURAC Research
Fudan University
Tsinghua University

Research output: Contribution to journal › Article › peer-review

394 Scopus citations

Abstract

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 howplant 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 seasonalmaximal capacity of CO₂ uptake (GPP_max). 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 GPP_max than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and greater understanding of GPP_max and CUP responses to environmental and biological variations will, thus, improve predictions of GPP over time and space.

Original language	English
Pages (from-to)	2788-2793
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	112
Issue number	9
DOIs	https://doi.org/10.1073/pnas.1413090112
State	Published - 3 Mar 2015
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Climate extreme
Ecosystem carbon uptake
Growing season length
Photosynthetic capacity
Spatiotemporal variability

Access to Document

10.1073/pnas.1413090112

Cite this

Xia, J., Niu, S., Ciais, P., Janssens, I. A., Chen, J., Ammann, C., Arain, A., Blanken, P. D., Cescatti, A., Bonal, D., Buchmann, N., Curtis, P. S., Chen, S., Dong, J., Flanagan, L. B., Frankenberg, C., Georgiadis, T., Gough, C. M., Hui, D., ... Luo, Y. (2015). Joint control of terrestrial gross primary productivity by plant phenology and physiology. Proceedings of the National Academy of Sciences of the United States of America, 112(9), 2788-2793. https://doi.org/10.1073/pnas.1413090112

@article{ad6084e0928f4cef89188a9fcaeafd48,

title = "Joint control of terrestrial gross primary productivity by plant phenology and physiology",

abstract = "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 howplant 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 seasonalmaximal 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.",

keywords = "Climate extreme, Ecosystem carbon uptake, Growing season length, Photosynthetic capacity, Spatiotemporal variability",

author = "Jianyang Xia and Shuli Niu and Philippe Ciais and Janssens, \{Ivan A.\} and Jiquan Chen and Christof Ammann and Altaf Arain and Blanken, \{Peter D.\} and Alessandro Cescatti and Damien Bonal and Nina Buchmann and Curtis, \{Peter S.\} and Shiping Chen and Jinwei Dong and Flanagan, \{Lawrence B.\} and Christian Frankenberg and Teodoro Georgiadis and Gough, \{Christopher M.\} and Dafeng Hui and Gerard Kiely and Jianwei Li and Magnus Lund and Vincenzo Magliulo and Barbara Marcolla and Lutz Merbold and Leonardo Montagnani and Moors, \{Eddy J.\} and Olesen, \{J{\o}rgen E.\} and Shilong Piao and Antonio Raschi and Olivier Roupsard and Suyker, \{Andrew E.\} and Marek Urbaniak and Vaccari, \{Francesco P.\} and Andrej Varlagin and Timo Vesala and Matthew Wilkinson and Ensheng Weng and Georg Wohlfahrt and Liming Yan and Yiqi Luo",

year = "2015",

month = mar,

day = "3",

doi = "10.1073/pnas.1413090112",

language = "英语",

volume = "112",

pages = "2788--2793",

journal = "Proceedings of the National Academy of Sciences of the United States of America",

issn = "0027-8424",

publisher = "National Academy of Sciences",

number = "9",

}

Xia, J, Niu, S, Ciais, P, Janssens, IA, Chen, J, Ammann, C, Arain, A, Blanken, PD, Cescatti, A, Bonal, D, Buchmann, N, Curtis, PS, Chen, S, Dong, J, Flanagan, LB, Frankenberg, C, Georgiadis, T, Gough, CM, Hui, D, Kiely, G, Li, J, Lund, M, Magliulo, V, Marcolla, B, Merbold, L, Montagnani, L, Moors, EJ, Olesen, JE, Piao, S, Raschi, A, Roupsard, O, Suyker, AE, Urbaniak, M, Vaccari, FP, Varlagin, A, Vesala, T, Wilkinson, M, Weng, E, Wohlfahrt, G, Yan, L & Luo, Y 2015, 'Joint control of terrestrial gross primary productivity by plant phenology and physiology', Proceedings of the National Academy of Sciences of the United States of America, vol. 112, no. 9, pp. 2788-2793. https://doi.org/10.1073/pnas.1413090112

TY - JOUR

T1 - Joint control of terrestrial gross primary productivity by plant phenology and physiology

AU - Xia, Jianyang

AU - Niu, Shuli

AU - Ciais, Philippe

AU - Janssens, Ivan A.

AU - Chen, Jiquan

AU - Ammann, Christof

AU - Arain, Altaf

AU - Blanken, Peter D.

AU - Cescatti, Alessandro

AU - Bonal, Damien

AU - Buchmann, Nina

AU - Curtis, Peter S.

AU - Chen, Shiping

AU - Dong, Jinwei

AU - Flanagan, Lawrence B.

AU - Frankenberg, Christian

AU - Georgiadis, Teodoro

AU - Gough, Christopher M.

AU - Hui, Dafeng

AU - Kiely, Gerard

AU - Li, Jianwei

AU - Lund, Magnus

AU - Magliulo, Vincenzo

AU - Marcolla, Barbara

AU - Merbold, Lutz

AU - Montagnani, Leonardo

AU - Moors, Eddy J.

AU - Olesen, Jørgen E.

AU - Piao, Shilong

AU - Raschi, Antonio

AU - Roupsard, Olivier

AU - Suyker, Andrew E.

AU - Urbaniak, Marek

AU - Vaccari, Francesco P.

AU - Varlagin, Andrej

AU - Vesala, Timo

AU - Wilkinson, Matthew

AU - Weng, Ensheng

AU - Wohlfahrt, Georg

AU - Yan, Liming

AU - Luo, Yiqi

PY - 2015/3/3

Y1 - 2015/3/3

N2 - 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 howplant 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 seasonalmaximal 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.

AB - 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 howplant 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 seasonalmaximal 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.

KW - Climate extreme

KW - Ecosystem carbon uptake

KW - Growing season length

KW - Photosynthetic capacity

KW - Spatiotemporal variability

UR - https://www.scopus.com/pages/publications/84924363551

U2 - 10.1073/pnas.1413090112

DO - 10.1073/pnas.1413090112

M3 - 文章

C2 - 25730847

AN - SCOPUS:84924363551

SN - 0027-8424

VL - 112

SP - 2788

EP - 2793

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 9

ER -

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

Abstract

UN SDGs

Keywords

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