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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 20
Biogeosciences, 11, 5987-6001, 2014
https://doi.org/10.5194/bg-11-5987-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: 9th International Carbon Dioxide Conference (ICDC9) (ESD/ACP/AMT/BG...

Biogeosciences, 11, 5987-6001, 2014
https://doi.org/10.5194/bg-11-5987-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 31 Oct 2014

Research article | 31 Oct 2014

Biophsyical constraints on gross primary production by the terrestrial biosphere

H. Wang1, I. C. Prentice1,2,3, and T. W. Davis2 H. Wang et al.
  • 1Department of Biological Sciences, Macquarie University, North Ryde, Australia
  • 2AXA Chair Programme in Climate and Biosphere Impacts, Grand Challenges in Ecosystems and the Environment, Department of Life Sciences, Imperial College, Ascot, UK
  • 3Grantham Institute for Climate Change, Imperial College, London, UK

Abstract. Persistent divergences among the predictions of complex carbon-cycle models include differences in the sign as well as the magnitude of the response of global terrestrial primary production to climate change. Such problems with current models indicate an urgent need to reassess the principles underlying the environmental controls of primary production. The global patterns of annual and maximum monthly terrestrial gross primary production (GPP) by C3 plants are explored here using a simple first-principles model based on the light-use efficiency formalism and the Farquhar model for C3 photosynthesis. The model is driven by incident photosynthetically active radiation (PAR) and remotely sensed green-vegetation cover, with additional constraints imposed by low-temperature inhibition and CO2 limitation. The ratio of leaf-internal to ambient CO2 concentration in the model responds to growing-season mean temperature, atmospheric dryness (indexed by the cumulative water deficit, Δ E) and elevation, based on an optimality theory. The greatest annual GPP is predicted for tropical moist forests, but the maximum (summer) monthly GPP can be as high, or higher, in boreal or temperate forests. These findings are supported by a new analysis of CO2 flux measurements. The explanation is simply based on the seasonal and latitudinal distribution of PAR combined with the physiology of photosynthesis. By successively imposing biophysical constraints, it is shown that partial vegetation cover – driven primarily by water shortage – represents the largest constraint on global GPP.

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