Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F22%3A43921944" target="_blank" >RIV/62156489:43410/22:43921944 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.3832/ifor4052-015" target="_blank" >https://doi.org/10.3832/ifor4052-015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3832/ifor4052-015" target="_blank" >10.3832/ifor4052-015</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40102 - Forestry
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
iForest
ISSN
1971-7458
e-ISSN
1971-7458
Svazek periodika
15
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
IT - Italská republika
Počet stran výsledku
8
Strana od-do
307-314
Kód UT WoS článku
000846691300001
EID výsledku v databázi Scopus
2-s2.0-85137756428