Quantifying the effect of forest age in annual net forest carbon balance

Besnard Simon, Carvalhais Nuno, Arain M. Altaf, Black Andrew, de Bruin Sytze, Buchmann Nina, Cescatti Alessandro, Chen Jiquan, Clevers Jan G.P.W., Desai Ankur R., Gough Christopher M., Havrankova Katerina, Herold Martin, Hörtnagl Lukas, Jung Martin, Knohl Alexander, Kruijt Bart, Krupkova Lenka, Law Beverly, Lindroth Anders, Noormets Asko, Roupsard Olivier, Steinbrecher Rainer, Varlagin Andrej, Vincke Caroline, Reichstein Markus. 2018. Quantifying the effect of forest age in annual net forest carbon balance. Environmental Research Letters, 13 (12):124018, 10 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Abstract : Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.

Mots-clés Agrovoc : Forêt, Cycle du carbone, ecosystem approaches [EN], accroissement forestier, Fertilité du sol, Modélisation environnementale, Aménagement forestier, Physiologie végétale

Mots-clés libres : Carbon cycle, Eddy covariance, Net ecosystem production, Empirical modelling, Forest age, Climate, Soil properties

Classification Agris : K01 - Forestry - General aspects
F40 - Plant ecology
F62 - Plant physiology - Growth and development
P40 - Meteorology and climatology

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Besnard Simon, Max Planck Institut für Biogeochemie (DEU)
  • Carvalhais Nuno, Max Planck Institut für Biogeochemie (DEU)
  • Arain M. Altaf, McMaster University (CAN)
  • Black Andrew, University of British Columbia (CAN)
  • de Bruin Sytze, Wageningen University (NLD)
  • Buchmann Nina, ETH (CHE)
  • Cescatti Alessandro, IES (ITA)
  • Chen Jiquan, MSU (USA)
  • Clevers Jan G.P.W., Wageningen University (NLD)
  • Desai Ankur R., University of Wisconsin (USA)
  • Gough Christopher M., Virginia Commonwealth University (USA)
  • Havrankova Katerina, Global Change Research Institute (CZE)
  • Herold Martin, Wageningen University (NLD)
  • Hörtnagl Lukas, ETH (CHE)
  • Jung Martin, Max Planck Institut für Biogeochemie (DEU)
  • Knohl Alexander, University of Göttingen (DEU)
  • Kruijt Bart, Alterra (NLD)
  • Krupkova Lenka, Global Change Research Institute (CZE)
  • Law Beverly, Oregon State University (USA)
  • Lindroth Anders, University of Lund (SWE)
  • Noormets Asko, North Carolina State University (USA)
  • Roupsard Olivier, CIRAD-PERSYST-UMR Eco&Sols (SEN)
  • Steinbrecher Rainer, Karlsruhe Institute of Technology (DEU)
  • Varlagin Andrej, Russian Academy of Sciences (RUS)
  • Vincke Caroline, UCL (BEL)
  • Reichstein Markus, Max Planck Institut für Biogeochemie (DEU)

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