The first contribution of the GeoDataHub to the overall project will be the acquisition and gathering of remote sensing data for the region studied. A second task of the GeoDataHub is to enable the flow of data and information across the interface the other modules.
The first objective of this module will be to overcome limitations of previous vegetation models by integrating key environmental predictors developed in modules 1, 3, 4 and 5, better describing plant species’ eco-physiological requirements,
The main objective of this module will be to use some of the predictors developed in module 1 and 4 to develop a set of soil’s physic-chemical property maps for the whole region and for the local area, to be used then in the vegetation (module 2) and hydrological (module 5) models.
The main objective of this module will be to investigate the link between vegetation and geomorphic parameters and to provide spatially-distributed geomorphological data for the vegetation, soil and hydrogeological models (modules 2, 3 and 5).
This module will develop key innovations along 3 complementary lines. New approaches aiming at the integration of spatially distributed data for calibration and uncertainty analysis of physically-based models will be developed.
Valuating ecosystem services from a human perspective has been a rapidly growing field in the last two decades (since Costanza et al. (1997, as attested by the recent launching of the ‘Intergovernmental panel on Biodiversity and Ecosystem Services (IPBES, http://www.ipbes.net and references therein).