On the need to consider wood formation processes in global vegetation models and a suggested approach
Friend, Andrew D.; Eckes-Shephard, Annemarie H.; Fonti, Patrick; Rademacher, Tim T.; Rathgeber, Cyrille B. K.; Richardson, Andrew D.; Turton, Rachael H. ORCID: https://orcid.org/0000-0001-9733-1495. 2019 On the need to consider wood formation processes in global vegetation models and a suggested approach. Annals of Forest Science, 76 (2), 49. 10.1007/s13595-019-0819-x
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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 10.1007_s13595-019-0819-x.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview |
Abstract/Summary
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 2 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.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1007/s13595-019-0819-x |
ISSN: | 1286-4560 |
Additional Keywords: | dynamic global vegetation model, xylogenesis, carbon, source, sink |
NORA Subject Terms: | Botany |
Date made live: | 15 May 2019 10:52 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/523363 |
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