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Title: D3.1-4 Fire occurrence: relationships with fuel moisture content and remotely-sensed plant phenology data: First results /
Language: English
Description: Sardinia is one of the most fire-prone regions of Italy. The high incidence of fires in Sardinia constitutes a problem in terms of damages and resources management, consequently, for provisional and operational planning, it’s very important to know the wildfire regime characteristics and their linkage with the determinant factors. The study of the relationship between the spatio-temporal distribution characteristics of wildfires and the remote-sensed symphenological variables highlighted the role of temporal NDVI signal as a reliable tool for analyzing ecological processes, going beyond the biophysical significance of single-date NDVI values as proxies to photsyntetic activity. The results obtained show that the simultaneous ordering of symphenological variables and fire regime characteristics, based on the spatial distribution of PNV, is consistent with a climatic control that acts on both phenomena. In an evolving landscape, knowing that the wildfires regime is strictly determined by potential natural vegetation phenology can be helpful for monitoring and predicting fires behaviour under changing climatic scenario. Finally, by providing a phytogeographical framework for characterizing fires, the PNV map can be considered a valuable tool for applying research results to fire management policies, since it takes properly into account the underlying determinant factors.
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Title: D3.1-10 Fire occurence: relationships with fuel moisture content and remotely-sensed plant phenology data: final results (merged with D3.1-9) /
Language: English
Description: Fire is a basic ecological factor that contributes to determine vegetation diversity and dynamics in time and space. Fuel characteristics play an essential role in fire ignition and propagation; at the landscape scale fuel availability and flammability are closely related to the vegetation phenology that directly affects wildfire pattern in time and space. In this view, the annual NDVI profiles derived from high temporal resolution satellites, like SPOT Vegetation, represent an effective tool for monitoring the coarse-scale vegetation seasonal timing. The objective of this study thus consists in quantifying the explanatory power of multitemporal NDVI profiles on the fire regime characteristics of the potential natural vegetation (PNV) types of Sardinia (Italy) over a five-year period (2000-2004). The results obtained show a good association between the NDVI temporal dynamics of the PNV of Sardinia and the corresponding fire regime characteristics, emphasizing the role of the bioclimatic timing of the vegetation in controlling the coarse-scale wildfire spatio-temporal distribution of Sardinia. By providing a sound phytogeographical framework for describing different wildfire regimes, PNV maps can thus be considered helpful cartographic documents for fire management strategies at the landscape scale.
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