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Forest Monitoring and Modelling

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Forest Monitoring and Modelling

The problem of modelling and predicting the evolution of forests and biosphere components in general is prominent, also in view of the Kyoto protocol regulations.
In the framework of the KLAUS Project, a Forest Ecosystem Model developed by Dr. Alessio Collalti and Prof. Riccardo Valentini at the University of Tuscia – DIBAF (Former DISAFRI) institute, Italy and euroMediaterranean Centre for Climate Changes (CMCC) – has been spatially extended and integrated with remotely sensed data, to increase the spatial resolution down to 10m x 10m and to use real vegetation status observation over the analysis domain instead of modeled ones.
3D-CMCC Forest Model is a light use efficiency model (LUE) that permits to simulate in “natural” forests composed by variable number of species, layers and cohorts a set of parameters such as CO2 fluxes (GPP), Biomass production (NPP), Carbon stock dynamic, Forest structure dynamic, and others.
The system has been calibrated and validated over the Parco Nazionale dei Monti Sibillini, Italy, with ground measurements, showing high correlation (R in the range 0.92 – 0.94) between observed and computed data for both high resolution (10m x 10m) and for short period of simulation. The coupling satellite data at high resolution and field information as input data have showed that these data can be used in the 3D-CMCC Forest Model run. These data can be also successfully used to simulate the main physiological processes at regional scale and to produce with good accordance with measured and literature data, reliable output to better investigate forest growth and dynamic.