A new probabilistic canopy dynamics model (SLCD) that is suitable for evergreen and deciduous forest ecosystems
J. Sainte-Marie,
L. Saint-André,
Y. Nouvellon,
J.-P. Laclau,
O. Roupsard,
G. le Maire,
N. Delpierre,
A. Henrot and
M. Barrandon
Ecological Modelling, 2014, vol. 290, issue C, 121-133
Abstract:
There are strong uncertainties regarding LAI dynamics in forest ecosystems in response to climate change. While empirical growth & yield models (G&YMs) provide good estimations of tree growth at the stand level on a yearly to decennial scale, process-based models (PBMs) use LAI dynamics as a key variable for enabling the accurate prediction of tree growth over short time scales. Bridging the gap between PBMs and G&YMs could improve the prediction of forest growth and, therefore, carbon, water and nutrient fluxes by combining modeling approaches at the stand level.
Keywords: Climate changes; Canopy dynamics; Probabilistic model; Process-based model (PBM); Growth & yield model (G&YM) (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:290:y:2014:i:c:p:121-133
DOI: 10.1016/j.ecolmodel.2014.01.026
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