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

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

doi:10.1007/s13595-019-0819-x

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

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	49
Journal	Annals of Forest Science
Volume	76
Issue number	2
DOIs	https://doi.org/10.1007/s13595-019-0819-x
Publication status	Published - 2019 Jun 1
Externally published	Yes

Bibliographical note

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.

Subject classification (UKÄ)

Other Earth and Related Environmental Sciences

Free keywords

Carbon
Dynamic global vegetation model
Sink
Source
Xylogenesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s13595-019-0819-xLicence: CC BY

Cite this

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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.",

keywords = "Carbon, Dynamic global vegetation model, Sink, Source, Xylogenesis",

author = "Friend, {Andrew D.} and Eckes-Shephard, {Annemarie H.} and Patrick Fonti and Rademacher, {Tim T.} and Rathgeber, {Cyrille B.K.} and Richardson, {Andrew D.} and Turton, {Rachael H.}",

note = "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 K{\"o}rner, 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{\textquoteright}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: {\textcopyright} 2019, The Author(s). Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",

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doi = "10.1007/s13595-019-0819-x",

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AU - Friend, Andrew D.

AU - Eckes-Shephard, Annemarie H.

AU - Fonti, Patrick

AU - Rademacher, Tim T.

AU - Rathgeber, Cyrille B.K.

AU - Richardson, Andrew D.

AU - Turton, Rachael H.

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PY - 2019/6/1

Y1 - 2019/6/1

N2 - 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.

AB - 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.

KW - Carbon

KW - Dynamic global vegetation model

KW - Sink

KW - Source

KW - Xylogenesis

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JO - Annals of Forest Science

JF - Annals of Forest Science

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ER -

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

Abstract

Bibliographical note

Subject classification (UKÄ)

Free keywords

UN SDGs

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Cite this