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Proceedings Paper

Integration of ground and satellite data to simulate forest carbon budget on regional scale
Author(s): Fabio Maselli; Marta Chiesi; Marco Moriondo; Luca Fibbi; Marco Bindi; Steven W. Running
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Paper Abstract

Simulating the main terms of forest carbon budget (GPP, NPP, NEE) is important for both scientific and practical reasons. This operation was performed for a region of Central Italy (Tuscany) by the integrated processing of ground and satellite data. Several data layers (meteorology, forest type, volume, etc.) were first collected in order to characterize the eco-climatic and forest features of the region. FAPAR estimates with 1 km resolution were obtained by processing VGT NDVI data. Relying on these data sets, monthly estimates of forest GPP were produced by means of a simplified, NDVIbased parametric model, C-Fix. These GPP estimates were used to calibrate a well known bio-geochemical model, BIOME-BGC, in order to find its best configurations for simulating all main functions (photosynthesis, respirations, allocations, etc.) of the most widespread Tuscany forest types. The calibrated versions of BIOME-BGC were then applied to produce respiration estimates for all regional forest surfaces during the study period. The obtained GPP and respiration estimates, which were referred to equilibrium conditions, were converted into the values of actual forests by applying a simplified approach which relies on the ratio of actual over potential tree volume as an indicator of forest distance from climax. The C-Fix photosynthesis estimates of actual forests were finally integrated with relevant BIOMEBGC simulated respirations in order to assess net forest carbon fluxes.

Paper Details

Date Published: 9 October 2007
PDF: 12 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 674203 (9 October 2007); doi: 10.1117/12.737907
Show Author Affiliations
Fabio Maselli, Consiglio Nazionale delle Ricerche (Italy)
Marta Chiesi, Consiglio Nazionale delle Ricerche (Italy)
Marco Moriondo, Univ. degli Studi di Firenze (Italy)
Luca Fibbi, Consiglio Nazionale delle Ricerche (Italy)
Marco Bindi, Univ. degli Studi di Firenze (Italy)
Steven W. Running, The Univ. of Montana (United States)


Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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