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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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