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 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 FLUXNET 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, USA (r2 = 0.88). Further analysis of the eddy-covariance flux data shows that the GPP variability among and within biomes is more explained by GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and it is essential to understand GPPmax and CUP responses to environmental and biological variations so as to predict GPP changes over time and space.

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

Chen J;Chen S;Georgiadis T;Magliulo V;Raschi A;Vaccari FP;
2015

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 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 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 FLUXNET 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, USA (r2 = 0.88). Further analysis of the eddy-covariance flux data shows that the GPP variability among and within biomes is more explained by GPPmax than CUP. These findings indicate that terrestrial GPP is jointly controlled by ecosystem-level plant phenology and photosynthetic capacity, and it is essential to understand GPPmax and CUP responses to environmental and biological variations so as to predict GPP changes over time and space.
2015
Istituto di Biometeorologia - IBIMET - Sede Firenze
Istituto di Biometeorologia - IBIMET - Sede Firenze
Istituto per i Sistemi Agricoli e Forestali del Mediterraneo - ISAFOM
ecosystem carbon uptake | growing season length | photosynthetic capacity | spatiotemporal variability | climate extreme
File in questo prodotto:
File Dimensione Formato  
prod_299800-doc_101897.pdf

solo utenti autorizzati

Descrizione: pnas
Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 1.3 MB
Formato Adobe PDF
1.3 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/269099
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 285
  • ???jsp.display-item.citation.isi??? ND
social impact