@article{87ce47bf27d24c628c5bf52a65654c62,
title = "On the need to consider wood formation processes in global vegetation models and a suggested approach",
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).",
year = "2019",
month = jun,
day = "1",
doi = "10.1007/s13595-019-0819-x",
language = "English (US)",
volume = "76",
journal = "Annals of Forest Science",
issn = "1286-4560",
publisher = "Springer Science + Business Media",
number = "2",
}