Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Contribution of anthropogenic, vegetation, and topographic features to forest fire occurrence in Poland

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40102 - Forestry

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

iForest

ISSN

1971-7458

e-ISSN

1971-7458

Volume of the periodical

15

Issue of the periodical within the volume

4

Country of publishing house

IT - ITALY

Number of pages

8

Pages from-to

307-314

UT code for WoS article

000846691300001

EID of the result in the Scopus database

2-s2.0-85137756428