Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province
Mapping forest fires became one of the efforts to reduce the fire vulnerability. Spatial model development for fire vulnerability could employ a GIS-based information value model (IVM) that excels in predicting vulnerability by leveraging hotspot inventory data. However, this model remained relative...
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2023-11-01
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| Series: | Jurnal Ilmu Kehutanan |
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| Online Access: | https://jurnal.ugm.ac.id/v3/jik/article/view/7977 |
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| author | Yosua Wiba Aguntar Perwira Putra Aghni Agelliyah Juliani Muhammad Aziz Rohman Milya Alfah Ulul Albab Anisa Dewi Ika Pertiwi Fikqri Ardiansyah |
| author_facet | Yosua Wiba Aguntar Perwira Putra Aghni Agelliyah Juliani Muhammad Aziz Rohman Milya Alfah Ulul Albab Anisa Dewi Ika Pertiwi Fikqri Ardiansyah |
| author_sort | Yosua Wiba Aguntar |
| collection | DOAJ |
| description | Mapping forest fires became one of the efforts to reduce the fire vulnerability. Spatial model development for fire vulnerability could employ a GIS-based information value model (IVM) that excels in predicting vulnerability by leveraging hotspot inventory data. However, this model remained relatively unexplored. This research aimed to develop a fire vulnerability model of peatland-dominated areas in West Kalimantan Province and identify biogeophysical factors that significantly influence fire vulnerability in the research area. The IVM employed hotspots, accessibility, land cover, distance to settlements, distance to rivers, soil types, peat types, and Normalized Difference Vegetation Index (NDVI) parameters. The results revealed that the medium hazard class dominated forest and land fire vulnerability in West Kalimantan Province (272,663 ha). In addition, the average annual hotspot intensity from 2012 to 2022 negatively correlated with annual rainfall. Factors such as the brackish water topogen peat type, podzolic-cambisol soil type, accessibility, shrub land cover, and NDVI collectively contributed to the high level of vulnerability. |
| format | Article |
| id | doaj-art-69b28acf63e24affbf077e49e74a9c5c |
| institution | Kabale University |
| issn | 0126-4451 2477-3751 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Jurnal Ilmu Kehutanan |
| spelling | doaj-art-69b28acf63e24affbf077e49e74a9c5c2025-01-10T05:03:23ZengUniversitas Gadjah MadaJurnal Ilmu Kehutanan0126-44512477-37512023-11-0117219420510.22146/jik.v17i2.79777977Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan ProvinceYosua Wiba Aguntar0Perwira Putra Aghni1Agelliyah Juliani2Muhammad Aziz Rohman3Milya Alfah Ulul Albab4Anisa Dewi Ika Pertiwi5Fikqri ArdiansyahFaculty of Forestry, Universitas Gadjah Mada, IndonesiaFaculty of Forestry, Universitas Gadjah Mada, IndonesiaFaculty of Forestry, Universitas Gadjah Mada, IndonesiaFaculty of Forestry, Universitas Gadjah Mada, IndonesiaFaculty of Forestry, Universitas Gadjah Mada, IndonesiaFaculty of Forestry, Universitas Gadjah Mada, IndonesiaMapping forest fires became one of the efforts to reduce the fire vulnerability. Spatial model development for fire vulnerability could employ a GIS-based information value model (IVM) that excels in predicting vulnerability by leveraging hotspot inventory data. However, this model remained relatively unexplored. This research aimed to develop a fire vulnerability model of peatland-dominated areas in West Kalimantan Province and identify biogeophysical factors that significantly influence fire vulnerability in the research area. The IVM employed hotspots, accessibility, land cover, distance to settlements, distance to rivers, soil types, peat types, and Normalized Difference Vegetation Index (NDVI) parameters. The results revealed that the medium hazard class dominated forest and land fire vulnerability in West Kalimantan Province (272,663 ha). In addition, the average annual hotspot intensity from 2012 to 2022 negatively correlated with annual rainfall. Factors such as the brackish water topogen peat type, podzolic-cambisol soil type, accessibility, shrub land cover, and NDVI collectively contributed to the high level of vulnerability.https://jurnal.ugm.ac.id/v3/jik/article/view/7977vulnerabilityforest fireivmpeatgis |
| spellingShingle | Yosua Wiba Aguntar Perwira Putra Aghni Agelliyah Juliani Muhammad Aziz Rohman Milya Alfah Ulul Albab Anisa Dewi Ika Pertiwi Fikqri Ardiansyah Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province Jurnal Ilmu Kehutanan vulnerability forest fire ivm peat gis |
| title | Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province |
| title_full | Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province |
| title_fullStr | Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province |
| title_full_unstemmed | Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province |
| title_short | Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province |
| title_sort | mapping of forest fire vulnerability using information value model in west kalimantan province |
| topic | vulnerability forest fire ivm peat gis |
| url | https://jurnal.ugm.ac.id/v3/jik/article/view/7977 |
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