Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Friend, Andrew D. ; Eckes-Shephard, Annemarie H. LU orcid ; Fonti, Patrick ; Rademacher, Tim T. ; Rathgeber, Cyrille B.K. ; Richardson, Andrew D. and Turton, Rachael H. (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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
publishing date
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}},
}