Приказ основних података о документу

dc.creatorCiesielski, Mariusz
dc.creatorBalazy, Radomir
dc.creatorBorkowski, Boleslaw
dc.creatorSzczesny, Wieslaw
dc.creatorZasada, Michal
dc.creatorKaczmarowski, Jan
dc.creatorKwiatkowski, Miroslaw
dc.creatorSzczygiel, Ryszard
dc.creatorMilanović, Slobodan
dc.date.accessioned2024-12-20T14:04:33Z
dc.date.available2024-12-20T14:04:33Z
dc.date.issued2022
dc.identifier.issn1971-7458
dc.identifier.urihttps://omorika.sfb.bg.ac.rs/handle/123456789/1285
dc.description.abstractClimate is one of the main causes of forest fires in Europe. In addition, forest fires are influenced by other factors, such as the reconstruction of tree stands with a uniform species composition and increasing human pressure. At the same time, the increasing number of fires is accompanied by a steady increase in the number and quality of spatial information collected, which affects the ability to conduct more accurate studies of forest fires. The appropriate use of spatial information systems (GIS) together with all the collected information on fires could provide new insights into their causes and, in further steps, allow the development of new, more accurate predictive models. The objectives of the study were: (i) to estimate the probability of fire occurrence in the period 2007-2016; (ii) to evaluate the performance of the developed model; (iii) to identify and quantify anthropogenic, topographic and stand factors affecting the probability of fire occurrence in forest areas in Poland. To achieve these objectives, a statistical model based on a logistic regression approach was built using the nationwide forest fire database for the period from 2007 to 2016. The information in the database was obtained from the Polish State For-est Information System (SILP). Then it was supplemented with spatial, topo-graphic and socio-economic information from various spatial and statistical databases. The results showed that fire probability is significantly positively affected by population density and distance from buildings. In addition, the further the distance from roads and railways, watercourses and water objects or the edge of the forest, height above sea level, and steep slopes, the lower is the fire probability. Analysis of spatial, ecological and socio-economic fac-tors provides new insights that contribute to a better understanding of fire oc-currence in Poland.en
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourceIforest-Biogeosciences and Forestry
dc.subjectVariables Selectionen
dc.subjectLogistic Regressionen
dc.subjectForest Firesen
dc.subjectAnthro-pogenic Factorsen
dc.titleContribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Polanden
dc.typearticle
dc.rights.licenseBY-NC
dc.citation.epage314
dc.citation.other15: 307-314
dc.citation.spage307
dc.citation.volume15
dc.identifier.doi10.3832/ifor4052-015
dc.identifier.fulltextomorika.sfb.bg.ac.rs/bitstream/id/233/1282.pdf
dc.identifier.rcubconv_1654
dc.identifier.scopus2-s2.0-85137756428
dc.identifier.wos000846691300001
dc.type.versionpublishedVersion


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Приказ основних података о документу