Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products - Archive ouverte HAL
Article Dans Une Revue Global Biogeochemical Cycles Année : 2020

Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products

Michael O'Sullivan
Stephen Sitch
Vivek Arora
  • Fonction : Auteur
Vanessa Haverd
Atul Jain
Etsushi Kato
Markus Kautz
Danica Lombardozzi
Julia Nabel
Hanqin Tian
Andy Wiltshire
Dan Zhu
Wolfgang Buermann
  • Fonction : Auteur

Résumé

Variability in climate exerts a strong influence on vegetation productivity (gross primary productivity; GPP), and therefore has a large impact on the land carbon sink. However, no direct observations of global GPP exist, and estimates rely on models that are constrained by observations at various spatial and temporal scales. Here, we assess the consistency in GPP from global products which extend for more than three decades; two observation-based approaches, the upscaling of FLUXNET site observations (FLUXCOM) and a remote sensing derived light use efficiency model (RS-LUE), and from a suite of terrestrial biosphere models (TRENDYv6). At local scales, we find high correlations in annual GPP among the products, with exceptions in tropical and high northern latitudes. On longer time scales, the products agree on the direction of trends over 58% of the land, with large increases across northern latitudes driven by warming trends. Further, tropical regions exhibit the largest interannual variability in GPP, with both rainforests and savannas contributing substantially. Variability in savanna GPP is likely predominantly driven by water availability, although temperature could play a role via soil moisture-atmosphere feedbacks. There is, however, no consensus on the magnitude and driver of variability of tropical forests, which suggest uncertainties in process representations and underlying observations remain. These results emphasize the need for more direct long-term observations of GPP along with an extension of in situ networks in underrepresented regions (e.g., tropical forests). Such capabilities would support efforts to better validate relevant processes in models, to more accurately estimate GPP.
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hal-03128362 , version 1 (22-02-2021)

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Michael O'Sullivan, William Smith, Stephen Sitch, Pierre Friedlingstein, Vivek Arora, et al.. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products. Global Biogeochemical Cycles, 2020, 34 (12), ⟨10.1029/2020gb006613⟩. ⟨hal-03128362⟩
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