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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2674

Title: Prediction of forest NPP in Italy by the combination of ground and remote sensing data
Authors: Chirici, Gherardo
Chiesi, Marta
Corona, Piermaria
Puletti, Nicola
Mura, Matteo
Maselli, Fabio
Keywords: Modified C-Fix BIOME-BGC
Forest inventory
Current annual increment
Regional estimates
Issue Date: May-2015
Publisher: Springer-Verlag
Citation: Chirici, G. et al. 2015. Prediction of forest NPP in Italy by the combination of ground and remote sensing data. "European Journal of Forest Research" 134 (3): 453-467
Abstract: Our research group has recently proposed a strategy to simulate net forest carbon fluxes based on the coupling of a NDVI-driven parametric model, Modified C-Fix, and of a biogeochemical model, BIOME-BGC. The outputs of the two models are combined through the use of a proxy of ecosystem distance from equilibrium condition which accounts for the occurred disturbances. This mod- eling strategy is currently applied to all Italian forest areas using an available set of NDVI images and ancillary
DOI: 10.1007/s10342-015-0864-4
URI: http://hdl.handle.net/2067/2674
ISSN: 1612-4669
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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