Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach

Forest fires in Nepal are a pressing environmental concern, impacting ecosystems and community livelihoods. This research aims to understand forest fires, their trends, distribution, and relation with selected variables found in the sub-tropical forests of Madhesh Province of Nepal, and then identif...

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Main Authors: Gunjan Adhikari, Khagendra Prasad Joshi, Dristee Chad, Ashish Ghimire, Sandeep Mahara
Format: Article
Language:English
Published: Mahidol University 2025-01-01
Series:Environment and Natural Resources Journal
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Online Access:https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253898/171759
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author Gunjan Adhikari
Khagendra Prasad Joshi
Dristee Chad
Ashish Ghimire
Sandeep Mahara
author_facet Gunjan Adhikari
Khagendra Prasad Joshi
Dristee Chad
Ashish Ghimire
Sandeep Mahara
author_sort Gunjan Adhikari
collection DOAJ
description Forest fires in Nepal are a pressing environmental concern, impacting ecosystems and community livelihoods. This research aims to understand forest fires, their trends, distribution, and relation with selected variables found in the sub-tropical forests of Madhesh Province of Nepal, and then identify potential fire risks and vulnerable areas. The selected fire incidents were analyzed using fire points produced by the moderate resolution imaging spectroradiometer (MODIS) sensor. Following the analytic hierarchy process (AHP) approach, this research investigates topographic, climatic, biophysical, and anthropogenic variables to create a fire risk map. Throughout the 22-year research period (2001-2023), 6,368 fire incidents and 6,158.22 km2 of total burnt area were reported in the study area. Overall, the Mann-Kendall test showed an increasing trend for regional fire incidents. It has been found that about 24% of the province is either at high or very high risk for fire. The validity of the prediction map was confirmed with an AUC value of 0.798. The findings of the study will be valuable to local, state, and federal governments, policymakers, forest fire managers, researchers, and land planners in building a landscape-level forest fire management plan for high-risk areas.
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institution Kabale University
issn 1686-5456
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publishDate 2025-01-01
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series Environment and Natural Resources Journal
spelling doaj-art-998413d90ed341d8a509ddab0be0c4a72025-01-27T09:04:51ZengMahidol UniversityEnvironment and Natural Resources Journal1686-54562408-23842025-01-01231809410.32526/ennrj/23/20240124Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision ApproachGunjan Adhikari0Khagendra Prasad Joshi1Dristee Chad2Ashish Ghimire3Sandeep Mahara4Institute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara, NepalCentral Department of Hydrology and Meteorology, Tribhuvan University, NepalInstitute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara, NepalInstitute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara, NepalInstitute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara, NepalForest fires in Nepal are a pressing environmental concern, impacting ecosystems and community livelihoods. This research aims to understand forest fires, their trends, distribution, and relation with selected variables found in the sub-tropical forests of Madhesh Province of Nepal, and then identify potential fire risks and vulnerable areas. The selected fire incidents were analyzed using fire points produced by the moderate resolution imaging spectroradiometer (MODIS) sensor. Following the analytic hierarchy process (AHP) approach, this research investigates topographic, climatic, biophysical, and anthropogenic variables to create a fire risk map. Throughout the 22-year research period (2001-2023), 6,368 fire incidents and 6,158.22 km2 of total burnt area were reported in the study area. Overall, the Mann-Kendall test showed an increasing trend for regional fire incidents. It has been found that about 24% of the province is either at high or very high risk for fire. The validity of the prediction map was confirmed with an AUC value of 0.798. The findings of the study will be valuable to local, state, and federal governments, policymakers, forest fire managers, researchers, and land planners in building a landscape-level forest fire management plan for high-risk areas.https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253898/171759ahpforest firegismodis
spellingShingle Gunjan Adhikari
Khagendra Prasad Joshi
Dristee Chad
Ashish Ghimire
Sandeep Mahara
Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
Environment and Natural Resources Journal
ahp
forest fire
gis
modis
title Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
title_full Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
title_fullStr Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
title_full_unstemmed Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
title_short Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach
title_sort spatial dynamics and risk mapping of forest fires in madhesh province nepal a multi criteria decision approach
topic ahp
forest fire
gis
modis
url https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253898/171759
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