Tingkat Kerawanan Kebakaran Hutan Dan Lahan Di Banjarbaru Provinsi Kalimantan Selatan

Saputra, Muhammad Riza; Arisanty, Deasy; Adyatma, Sidharta

doi:10.34312/jgeosrev.v3i2.5648

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Even in high-humidity forests, fire could occur when road networks allow access for people to engage in activities (Fitria et al 2021). Areas with high vegetation density could be more susceptible to forest and land fire than those with medium and low vegetation density (Saputra et al 2021;Abdo et al 2022). High-density vegetation could experience higher fire incidence than medium and lowervegetation-density areas.…”

Section: Ivm-based Vulnerability Modelmentioning

confidence: 99%

Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province

Aguntar,

Aghni,

Juliyani

et al. 2023

Jur. Ilm. Kehut.

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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.

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Section: Ivm-based Vulnerability Modelmentioning

confidence: 99%

Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province

Aguntar,

Aghni,

Juliyani

et al. 2023

Jur. Ilm. Kehut.

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“…Forest fires affects air quality, landscapes and ecosystems, soil and water quality, and causes major problems with greenhouse gas emissions (Badri et al 2018). Forest fires occur due to climatic or artificial factors (Saputra et al 2021). In addition, forest fires in Indonesia happen almost every year.…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Rainfall and Land Cover on the Number of Hotspots in Lore Lindu National Park

Fadjri Maarif,

Cesar Andi Mappatoba

2024

BIOTROPIA

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Forest and land fires in Indonesia need concern in handling it, specifically in conservation areas. Lore Lindu National Park (TNLL) is a conservation area that plays a role in preserving endemic plants and animals and their habitats. Research on the factors that influence forest fires in TNLL needs to be carried out to protect and prevent the risk of forest fires to protect the ecosystem. This study aims to analyze the relationship between rainfall and land cover on the number of hotspots as an indicator of forest fires in TNLL in 2017-2021. Thus, preventive strategies can be carried out as early as possible to prevent forest fires. This research was conducted by analyzing spatially and statistically 2017-2021 rainfall data in Sigi and Poso Regencies, hotspot data from the TERRA/AQUA, SNPP, and MODIS-NASA satellite in 2017-2021 in TNLL, and TNLL land cover data. In statistical analysis, rainfall data for hotspots was analyzed using Bivariate Pearson, and land cover data for hotspots was analyzed spatially using ArcMap. The results showed 55 hotspots in TNLL from 2017-2021. The Bivariate Pearson correlation test results between rainfall and hotspots are -0.028. The relationship between rainfall and hotspots shows a non-directional correlation. The lower the rainfall intensity, the more hotspots are found. Spatially, the highest number of hotspots occurred in areas with the land cover of secondary dryland forest types, with a total of 29 spots.

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Mapping of Potential Hazard Areas for Forest and Land Fire based on GIS in Kepulauan Meranti Regency, Riau

Riyadi

Setiawan

Taufik

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Forest and land fires that occur every year are crucial issues in Indonesia, especially in Kepulauan Meranti Regency, Riau. This location is one of the relatively unique locations because almost the entire land area is a peatland. Information on the level of danger of forest and land fires in Meranti Regency is not yet available on a detailed scale. This research aims to map potential hazard areas for forest and land fires in Kepulauan Meranti Regency, Riau. Spatial analysis using Multi-Criteria Evaluation (MCE) with variables of land cover, soil type, distance from rivers, distance from roads, and distance from residentials. The results showed that the area of the potential hazard of forest and land fires in Kepulauan Meranti Regency was dominated by a high hazard level of 245,323.06 ha (68.08%).

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Tingkat Kerawanan Kebakaran Hutan Dan Lahan Di Banjarbaru Provinsi Kalimantan Selatan

Cited by 4 publications

References 10 publications

Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province

Mapping of Forest Fire Vulnerability Using Information Value Model in West Kalimantan Province

Relationship Between Rainfall and Land Cover on the Number of Hotspots in Lore Lindu National Park

Mapping of Potential Hazard Areas for Forest and Land Fire based on GIS in Kepulauan Meranti Regency, Riau

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