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Adaptation and local validation in a Mediterranean environment of a process-level ecosystem model driven by remotely sensed inputs

TitleAdaptation and local validation in a Mediterranean environment of a process-level ecosystem model driven by remotely sensed inputs
Publication TypeAudiovisual
Year of Publication1997
AuthorsLacaze, B., Tabarant F., & Rambal S.
Series EditorSpiteri, A.
Series TitleREMOTE SENSING `96: INTEGRATED APPLICATIONS FOR RISK ASSESSMENT AND DISASTER PREVENTION FOR THE MEDITERRANEAN
PublisherA A BALKEMA
CityPO BOX 1675, 3000 BR ROTTERDAM, NETHERLANDS
ISBN Number90-5410-855-X
Keywordsfuntional processes, Holm oak, leaf area index, model simutalins, photosynthesis alocation, structural attribute
Abstract

A process-level ecosystem model (FOREST-BGC) has been used to simulate the short-term variability of functional processes and the slower responding allocation of photosynthesis products to plant components maintenance or growth, and to decomposition. The model emphasises Leaf Area Index (LAI) as a key structural attribute with substantial control over ecosystem process rates. Model simulations (soil water balance, photosynthesis, net primary production,...) have been obtained for a 10 years period (1984-1993) and partially validated with ground measurements from an experimental test site located in Southern France (dominant species: holm oak). Further work include scaling up from local to regional level, using remote sensing inputs and ancillary data.