环境科学
气候变化
航程(航空)
自然地理学
地理
回归分析
温带雨林
温带气候
环境资源管理
生态学
环境保护
生态系统
统计
数学
材料科学
复合材料
生物
作者
Aleksandra Kolanek,Mariusz Szymanowski,Andrzej Raczyk
出处
期刊:Forests
[Multidisciplinary Digital Publishing Institute]
日期:2021-06-03
卷期号:12 (6): 728-728
被引量:63
摘要
Forest fires, due to climate change, are a growing threat to human life, health, and property, especially in temperate climates. Unfortunately, the impact of individual factors on forest fires varies, depending on the geographical region and its natural and socio-economic conditions. The latter are rarely introduced into fire warning systems, which significantly reduces their effectiveness. Therefore, the main goal of this study was to quantify the impact of a wide range of anthropogenic factors on forest fires, using Poland as a representative example of a Central European country. Data were analyzed in relation to districts for the period 2007–2017, using correlation analysis and regression modeling applying global and local/mixed regression methods. It was found that almost all of the 28 variables taken for analysis significantly determined the density of forest fires, but the greatest role was played by the length of the border between forests and built-up areas, and road density. In addition, the impact of most of the analyzed variables on forest fires varied over the study area, so implementing non-stationarity in geographically weighted regression models significantly improved the goodness-of-fit compared to global models.
科研通智能强力驱动
Strongly Powered by AbleSci AI