Areas of the Terai Arc landscape in Nepal at risk of forest fire identified by fuzzy analytic hierarchy process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F23%3A97007" target="_blank" >RIV/60460709:41320/23:97007 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.envdev.2023.100810" target="_blank" >http://dx.doi.org/10.1016/j.envdev.2023.100810</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envdev.2023.100810" target="_blank" >10.1016/j.envdev.2023.100810</a>
Alternative languages
Result language
angličtina
Original language name
Areas of the Terai Arc landscape in Nepal at risk of forest fire identified by fuzzy analytic hierarchy process
Original language description
Forest fire frequency has increased in South Asia in recent decades, with a growing impact on forest ecosystems. Nepal's Terai Arc Landscape (TAL) is one of the most ecologically important landscapes in Asia, hosting a great diversity of endangered flora and fauna. To better predict the threat of fire to forest ecosystems in the TAL, we identified fire-prone areas using fuzzy AHP methods. We produced a fire risk map by applying the weighted linear combination method using topographic (slope, aspect, and elevation), climatic (temperature, precipitation, and wind speed), biophysical (normalised difference vegetation index and landcover classes), and anthropogenic variables (distance to road and proximity to settlements). We then validated the map with records of past fires by applying a confusion matrix. The accuracy of our technique of fire location pre-diction was above 95%, with a kappa coefficient of 0.93 and AUC value of 0.83. Locations of medium to very high forest fire risk were found in around 51% of the study area, usually in the vicinity of areas affected by anthropogenic factors. This landscape-level study shows the potential of multicriteria prediction models to inform the preparation of national and regional forest fire management strategies and plans.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Development
ISSN
2211-4645
e-ISSN
2211-4645
Volume of the periodical
45
Issue of the periodical within the volume
2023
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
1-11
UT code for WoS article
000939810100001
EID of the result in the Scopus database
2-s2.0-85147902192