Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022979107> ?p ?o ?g. }
- W3022979107 endingPage "507" @default.
- W3022979107 startingPage "507" @default.
- W3022979107 abstract "Reasonable forest fire management measures can effectively reduce the losses caused by forest fires and forest fire driving factors and their impacts are important aspects that should be considered in forest fire management. We used the random forest model and MODIS Global Fire Atlas dataset (2010~2016) to analyse the impacts of climate, topographic, vegetation and socioeconomic variables on forest fire occurrence in six geographical regions in China. The results show clear regional differences in the forest fire driving factors and their impacts in China. Climate variables are the forest fire driving factors in all regions of China, vegetation variable is the forest fire driving factor in all other regions except the Northwest region and topographic variables and socioeconomic variables are only the driving factors of forest fires in a few regions (Northwest and Southwest regions). The model predictive capability is good: the AUC values are between 0.830 and 0.975, and the prediction accuracy is between 70.0% and 91.4%. High fire hazard areas are concentrated in the Northeast region, Southwest region and East China region. This research will aid in providing a national-scale understanding of forest fire driving factors and fire hazard distribution in China and help policymakers to design fire management strategies to reduce potential fire hazards." @default.
- W3022979107 created "2020-05-13" @default.
- W3022979107 creator A5006419253 @default.
- W3022979107 creator A5013582042 @default.
- W3022979107 creator A5016782315 @default.
- W3022979107 creator A5059271723 @default.
- W3022979107 creator A5068539574 @default.
- W3022979107 date "2020-05-01" @default.
- W3022979107 modified "2023-10-10" @default.
- W3022979107 title "Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm" @default.
- W3022979107 cites W1009238072 @default.
- W3022979107 cites W1214056855 @default.
- W3022979107 cites W1436653101 @default.
- W3022979107 cites W1476776918 @default.
- W3022979107 cites W1487156010 @default.
- W3022979107 cites W1569476219 @default.
- W3022979107 cites W1652980820 @default.
- W3022979107 cites W1888001794 @default.
- W3022979107 cites W1964647807 @default.
- W3022979107 cites W1975454499 @default.
- W3022979107 cites W1981755063 @default.
- W3022979107 cites W1982314817 @default.
- W3022979107 cites W1984049691 @default.
- W3022979107 cites W1988998717 @default.
- W3022979107 cites W1992743035 @default.
- W3022979107 cites W1999471251 @default.
- W3022979107 cites W2001330731 @default.
- W3022979107 cites W2004802920 @default.
- W3022979107 cites W2005028768 @default.
- W3022979107 cites W2010150056 @default.
- W3022979107 cites W2017726336 @default.
- W3022979107 cites W2020662289 @default.
- W3022979107 cites W2023350074 @default.
- W3022979107 cites W2042952446 @default.
- W3022979107 cites W2043847259 @default.
- W3022979107 cites W2047195873 @default.
- W3022979107 cites W2048577341 @default.
- W3022979107 cites W2082781681 @default.
- W3022979107 cites W2084966511 @default.
- W3022979107 cites W2085696766 @default.
- W3022979107 cites W2088165796 @default.
- W3022979107 cites W2093206878 @default.
- W3022979107 cites W2095449493 @default.
- W3022979107 cites W2104739727 @default.
- W3022979107 cites W2108136229 @default.
- W3022979107 cites W2110674786 @default.
- W3022979107 cites W2112370119 @default.
- W3022979107 cites W2112983189 @default.
- W3022979107 cites W2115538424 @default.
- W3022979107 cites W2120951786 @default.
- W3022979107 cites W2124469784 @default.
- W3022979107 cites W2130013497 @default.
- W3022979107 cites W2132809245 @default.
- W3022979107 cites W2135382969 @default.
- W3022979107 cites W2139086914 @default.
- W3022979107 cites W2143618255 @default.
- W3022979107 cites W2143744444 @default.
- W3022979107 cites W2150764041 @default.
- W3022979107 cites W2154943265 @default.
- W3022979107 cites W2159582621 @default.
- W3022979107 cites W2161548576 @default.
- W3022979107 cites W2164092633 @default.
- W3022979107 cites W2166516660 @default.
- W3022979107 cites W2168338454 @default.
- W3022979107 cites W2176625739 @default.
- W3022979107 cites W2188115011 @default.
- W3022979107 cites W2344736925 @default.
- W3022979107 cites W2725711042 @default.
- W3022979107 cites W2804980301 @default.
- W3022979107 cites W2886683489 @default.
- W3022979107 cites W2890777951 @default.
- W3022979107 cites W2904891766 @default.
- W3022979107 cites W2966543762 @default.
- W3022979107 cites W2966570576 @default.
- W3022979107 cites W2971897573 @default.
- W3022979107 cites W2989966396 @default.
- W3022979107 cites W2995014444 @default.
- W3022979107 doi "https://doi.org/10.3390/f11050507" @default.
- W3022979107 hasPublicationYear "2020" @default.
- W3022979107 type Work @default.
- W3022979107 sameAs 3022979107 @default.
- W3022979107 citedByCount "61" @default.
- W3022979107 countsByYear W30229791072021 @default.
- W3022979107 countsByYear W30229791072022 @default.
- W3022979107 countsByYear W30229791072023 @default.
- W3022979107 crossrefType "journal-article" @default.
- W3022979107 hasAuthorship W3022979107A5006419253 @default.
- W3022979107 hasAuthorship W3022979107A5013582042 @default.
- W3022979107 hasAuthorship W3022979107A5016782315 @default.
- W3022979107 hasAuthorship W3022979107A5059271723 @default.
- W3022979107 hasAuthorship W3022979107A5068539574 @default.
- W3022979107 hasBestOaLocation W30229791071 @default.
- W3022979107 hasConcept C100970517 @default.
- W3022979107 hasConcept C107826830 @default.
- W3022979107 hasConcept C119857082 @default.
- W3022979107 hasConcept C127413603 @default.
- W3022979107 hasConcept C132651083 @default.
- W3022979107 hasConcept C142724271 @default.