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Special Issue: Spatial and Temporal Patterns of Wildfires: Models, Theory, and Reality

Lasaponara R
2010
2010
Istituto di Metodologie per l'Analisi Ambientale - IMAA
221
1
1
During the last decades, the increasing occurrence of severe wildfires in different regions of the world has strongly heightened the negative effects of fire on flora, fauna, soil, ecosystem, and atmosphere. This has been driven an increasing interest from both researchers and fire managers in improving fire management and reducing the disastrous effects of fires on landscape and ecosystems. In this cultural framework, yearly the EGU conference Spatial and Temporal Patterns of Wildfires: Models, Theory, and Reality acts to establish and facilitate contacts and interaction among wildfire hazard managers, applied researchers, and theoreticians. This EGU conference-session is focuses on a wide variety of fire-related research, from fire hazard, fire occurrence modeling, fire effects assessment, post-fire vegetation recovery, to the strategic use of ground, aerial and space remote sensing techniques for supporting forest fire management and monitoring. The tremendous development of remote sensing techniques and Information and Communication technologies can offer effective tools to support and improve traditional approach for fire management and monitoring. In this context, a strategic challenge to be addressed is related to the crucial importance of a constructive and complementary multidisciplinary approach based on (i) a strong interaction among scientists working in different aspects of fire as well as on (ii) a strong interaction among research community and fire managers. Yearly the EGU conference acts to establish and facilitate contacts and interaction between fire researchers working on a wide variety of fire-related issues. From the papers presented at the Conference, a number of authors were invited to submit papers or this Special Issues of Ecological Modelling. Papers finally selected cover different topics and aspects of fire research, spanning from wildfire and landscape diversity modeling, to fire hazard mapping and post-fire re-growth detection. Contributions from different ecosystems provide a wide geographical perspective from Mediterranean areas to Canada and South America (Argentina). The use of time/spatial statistical tools is applied to analyze the time-scaling properties in forest fire sequence in Italy, to capture intra-annual time dynamic patterns in Patagonia, to extract temporal scaling behavior of human-caused fires and their connection with meteorological parameters. Spatial modeling of socioeconomic data have been applied to understand patterns of human-caused wildfire ignition risk in central Spain. Remote sensing data have been used to characterize the fire incidence through fuel phenology as well as for detecting and monitoring post-fire vegetation re-grow patterns.
1
info:eu-repo/semantics/article
262
Lasaponara, R
01 Contributo su Rivista::01.01 Articolo in rivista
none
01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/48431
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