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On the need to consider wood formation processes in global vegetation models and a suggested approach
- 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.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Ecology
Sink
[SDV]Life Sciences [q-bio]
Botany
Source
Forestry
15. Life on land
01 natural sciences
Dynamic global vegetation model
Carbon
13. Climate action
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
010606 plant biology & botany
0105 earth and related environmental sciences
Xylogenesis
Subjects
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⟩