Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland
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2022
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Аутори
Ciesielski, Mariusz
Balazy, Radomir
Borkowski, Boleslaw
Szczesny, Wieslaw
Zasada, Michal
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Kaczmarowski, Jan
Kwiatkowski, Miroslaw
Szczygiel, Ryszard
Milanović, Slobodan
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Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Climate 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 Pol...and. 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.
Кључне речи:
Variables Selection / Logistic Regression / Forest Fires / Anthro-pogenic FactorsИзвор:
Iforest-Biogeosciences and Forestry, 2022, 15, 307-314
DOI: 10.3832/ifor4052-015
ISSN: 1971-7458
WoS: 000846691300001
Scopus: 2-s2.0-85137756428
Институција/група
Šumarski fakultetTY - JOUR AU - Ciesielski, Mariusz AU - Balazy, Radomir AU - Borkowski, Boleslaw AU - Szczesny, Wieslaw AU - Zasada, Michal AU - Kaczmarowski, Jan AU - Kwiatkowski, Miroslaw AU - Szczygiel, Ryszard AU - Milanović, Slobodan PY - 2022 UR - https://omorika.sfb.bg.ac.rs/handle/123456789/1285 AB - Climate 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. T2 - Iforest-Biogeosciences and Forestry T1 - Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland EP - 314 SP - 307 VL - 15 DO - 10.3832/ifor4052-015 UR - conv_1654 ER -
@article{ author = "Ciesielski, Mariusz and Balazy, Radomir and Borkowski, Boleslaw and Szczesny, Wieslaw and Zasada, Michal and Kaczmarowski, Jan and Kwiatkowski, Miroslaw and Szczygiel, Ryszard and Milanović, Slobodan", year = "2022", abstract = "Climate 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.", journal = "Iforest-Biogeosciences and Forestry", title = "Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland", pages = "314-307", volume = "15", doi = "10.3832/ifor4052-015", url = "conv_1654" }
Ciesielski, M., Balazy, R., Borkowski, B., Szczesny, W., Zasada, M., Kaczmarowski, J., Kwiatkowski, M., Szczygiel, R.,& Milanović, S.. (2022). Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland. in Iforest-Biogeosciences and Forestry, 15, 307-314. https://doi.org/10.3832/ifor4052-015 conv_1654
Ciesielski M, Balazy R, Borkowski B, Szczesny W, Zasada M, Kaczmarowski J, Kwiatkowski M, Szczygiel R, Milanović S. Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland. in Iforest-Biogeosciences and Forestry. 2022;15:307-314. doi:10.3832/ifor4052-015 conv_1654 .
Ciesielski, Mariusz, Balazy, Radomir, Borkowski, Boleslaw, Szczesny, Wieslaw, Zasada, Michal, Kaczmarowski, Jan, Kwiatkowski, Miroslaw, Szczygiel, Ryszard, Milanović, Slobodan, "Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland" in Iforest-Biogeosciences and Forestry, 15 (2022):307-314, https://doi.org/10.3832/ifor4052-015 ., conv_1654 .