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On the need to consider wood formation processes in global vegetation models and a suggested approach

Authors :
Andrew D. Friend
Annemarie H. Eckes-Shephard
Patrick Fonti
Tim T. Rademacher
Cyrille B. K. Rathgeber
Andrew D. Richardson
Rachael H. Turton
University of Cambridge [UK] (CAM)
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Northern Arizona University [Flagstaff]
Harvard University [Cambridge]
SILVA (SILVA)
Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech
Natural Environment Research Council (NERC)
Source :
Annals of Forest Science, Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2019, 76 (2), pp.49. ⟨10.1007/s13595-019-0819-x⟩, Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2019, 76 (2), ⟨10.1007/s13595-019-0819-x⟩, Annals of Forest Science 2 (76), . (2019)
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

• Key message Dynamic global vegetation models are key tools for interpreting and forecasting the responses of terrestrial ecosystems to climatic variation and other drivers. They estimate plant growth as the outcome of the supply of carbon through photosynthesis. However, growth is itself under direct control, and not simply controlled by the amount of available carbon. Therefore predictions by current photosynthesis-driven models of large increases in future vegetation biomass due to increasing concentrations of atmospheric CO2may be significant over-estimations. We describe how current understanding of wood formation can be used to reformulate global vegetation models, with potentially major implications for their behaviour.

Details

Language :
English
ISSN :
12864560 and 1297966X
Database :
OpenAIRE
Journal :
Annals of Forest Science, Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2019, 76 (2), pp.49. ⟨10.1007/s13595-019-0819-x⟩, Annals of Forest Science, Springer Nature (since 2011)/EDP Science (until 2010), 2019, 76 (2), ⟨10.1007/s13595-019-0819-x⟩, Annals of Forest Science 2 (76), . (2019)
Accession number :
edsair.doi.dedup.....46c48c76d6c5e56ec6c35f27108c41bd
Full Text :
https://doi.org/10.1007/s13595-019-0819-x⟩