دورية أكاديمية
Modeling anthropogenic and natural fire ignitions in an inner-alpine valley
العنوان: | Modeling anthropogenic and natural fire ignitions in an inner-alpine valley |
---|---|
المؤلفون: | G. Vacchiano, C. Foderi, R. Berretti, E. Marchi, R. Motta |
المصدر: | Natural Hazards and Earth System Sciences, Vol 18, Pp 935-948 (2018) |
بيانات النشر: | Copernicus Publications, 2018. |
سنة النشر: | 2018 |
المجموعة: | LCC:Environmental technology. Sanitary engineering LCC:Geography. Anthropology. Recreation LCC:Environmental sciences LCC:Geology |
مصطلحات موضوعية: | Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350, Geology, QE1-996.5 |
الوصف: | Modeling and assessing the factors that drive forest fire ignitions is critical for fire prevention and sustainable ecosystem management. In southern Europe, the anthropogenic component of wildland fire ignitions is especially relevant. In the Alps, however, the role of fire as a component of disturbance regimes in forest and grassland ecosystems is poorly known. The aim of this work is to model the probability of fire ignition for an Alpine region in Italy using a regional wildfire archive (1995–2009) and MaxEnt modeling. We analyzed separately (i) winter forest fires, (ii) winter fires on grasslands and fallow land, and (iii) summer fires. Predictors were related to morphology, climate, and land use; distance from infrastructures, number of farms, and number of grazing animals were used as proxies for the anthropogenic component. Collinearity among predictors was reduced by a principal component analysis. Regarding ignitions, 30 % occurred in agricultural areas and 24 % in forests. Ignitions peaked in the late winter–early spring. Negligence from agrosilvicultural activities was the main cause of ignition (64 %); lightning accounted for 9 % of causes across the study time frame, but increased from 6 to 10 % between the first and second period of analysis. Models for all groups of fire had a high goodness of fit (AUC 0.90–0.95). Temperature was proportional to the probability of ignition, and precipitation was inversely proportional. Proximity from infrastructures had an effect only on winter fires, while the density of grazing animals had a remarkably different effect on summer (positive correlation) and winter (negative) fires. Implications are discussed regarding climate change, fire regime changes, and silvicultural prevention. Such a spatially explicit approach allows us to carry out spatially targeted fire management strategies and may assist in developing better fire management plans. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1561-8633 1684-9981 |
Relation: | https://www.nat-hazards-earth-syst-sci.net/18/935/2018/nhess-18-935-2018.pdf; https://doaj.org/toc/1561-8633; https://doaj.org/toc/1684-9981 |
DOI: | 10.5194/nhess-18-935-2018 |
URL الوصول: | https://doaj.org/article/0b344a6414e049758f828212c1cd9141 |
رقم الأكسشن: | edsdoj.0b344a6414e049758f828212c1cd9141 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 15618633 16849981 |
---|---|
DOI: | 10.5194/nhess-18-935-2018 |