On the need to consider wood formation processes in global vegetation models and a suggested approach
(2019) In Annals of Forest Science 76(2).- 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... (More)
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.
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- author
- Friend, Andrew D. ; Eckes-Shephard, Annemarie H. LU ; Fonti, Patrick ; Rademacher, Tim T. ; Rathgeber, Cyrille B.K. ; Richardson, Andrew D. and Turton, Rachael H.
- publishing date
- 2019-06-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Carbon, Dynamic global vegetation model, Sink, Source, Xylogenesis
- in
- Annals of Forest Science
- volume
- 76
- issue
- 2
- article number
- 49
- publisher
- Springer
- external identifiers
-
- scopus:85065144376
- ISSN
- 1286-4560
- DOI
- 10.1007/s13595-019-0819-x
- language
- English
- LU publication?
- no
- additional info
- Funding Information: ADF thanks numerous people for discussions around the ideas expressed here, in particular Flurin Babst, Soumaya Belmecheri, Henri Cuny, David Frank, Andrew Hacket-Pain, Christian Körner, Ben Poulter, and Valerie Trouet. Funding Information: Funding ADF, PF, TTR, ADR, and RHT acknowledge support from the Natural Environment Research Council—National Science Foundation International Collaboration programme, under grants nos. NE/P011462/1 and DEB-1741585. ADR is also supported by NSF grant no. DEB-1237491. The UMR 1434 Silva is supported by a grant overseen by the French National Research Agency (ANR) as part of the “Investissements d’Avenir” programme (ANR-11-LABX-0002-01, Lab of Excellence ARBRE). PF acknowledges the project LOTFOR (Nr. 150205), supported by the Swiss National Foundation. Publisher Copyright: © 2019, The Author(s). Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
- id
- 8f3c8cfb-0db0-479a-b7ad-2855dd703268
- date added to LUP
- 2021-05-12 13:27:40
- date last changed
- 2022-12-14 15:51:59
@article{8f3c8cfb-0db0-479a-b7ad-2855dd703268, abstract = {{<p>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 CO<sub>2</sub>may 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.</p>}}, author = {{Friend, Andrew D. and Eckes-Shephard, Annemarie H. and Fonti, Patrick and Rademacher, Tim T. and Rathgeber, Cyrille B.K. and Richardson, Andrew D. and Turton, Rachael H.}}, issn = {{1286-4560}}, keywords = {{Carbon; Dynamic global vegetation model; Sink; Source; Xylogenesis}}, language = {{eng}}, month = {{06}}, number = {{2}}, publisher = {{Springer}}, series = {{Annals of Forest Science}}, title = {{On the need to consider wood formation processes in global vegetation models and a suggested approach}}, url = {{http://dx.doi.org/10.1007/s13595-019-0819-x}}, doi = {{10.1007/s13595-019-0819-x}}, volume = {{76}}, year = {{2019}}, }