Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS

Aim of study: To study the anthropogenic factors that influence the fire occurrences in a peat swamp forest (PSF) in the northern part of Borneo Island. Area of study: Klias Peninsula, Sabah Borneo Island, Malaysia. Material and methods: Supervised classification using the maximum likelihood algorit...

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Main Authors: Kamlisa U. Kamlun, Mui-How Phua
Format: Article
Language:English
English
Published: ResearchGate 2024
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Online Access:https://eprints.ums.edu.my/id/eprint/41078/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41078/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41078/
http://dx.doi.org/10.5424/fs/2024331-20585
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Institution: Universiti Malaysia Sabah
Language: English
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spelling my.ums.eprints.410782024-09-24T04:34:05Z https://eprints.ums.edu.my/id/eprint/41078/ Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS Kamlisa U. Kamlun Mui-How Phua SD1-669.5 Forestry SD411-428 Conservation and protection Including forest influences, damage by elements, fires, forest reserves Aim of study: To study the anthropogenic factors that influence the fire occurrences in a peat swamp forest (PSF) in the northern part of Borneo Island. Area of study: Klias Peninsula, Sabah Borneo Island, Malaysia. Material and methods: Supervised classification using the maximum likelihood algorithm of multitemporal satellite imageries from the mid-80s to the early 20s was used to quantify the wetland vegetation change on Klias Peninsula. GISbased buffering analysis was made to generate three buffer zones with distances of 1000 m, 2000 m, and 3000 m based on each of three anthropogenic factors (settlement, agriculture, and road) that influence the fire events. Main results: The results showed that PSF, barren land, and grassland have significantly changed between 1991 and 2013. PSF plummeted by about 70% during the 19-year period. Agriculture exhibited the most significant anthropogenic factor that contributes to the deforestation of the PSF in this study area with the distance of 1001-2000 m in 1998 fire event and 0-1000 m in 2003. Additionally, the distance to settlement played an increasingly important role in the fire affected areas, as shown by the increase of weightages from 0.26 to 0.35. Research highlights: Our results indicate that agriculture is the most influential anthropogenic factor associated with the fire-affected areas. The distance to settlement played an increasingly important role in the fire affected areas and contributes to the deforestation of the PSF in these study areas. ResearchGate 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41078/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41078/2/FULL%20TEXT.pdf Kamlisa U. Kamlun and Mui-How Phua (2024) Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS. Forest Systems, 33 (1). pp. 1-7. http://dx.doi.org/10.5424/fs/2024331-20585
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic SD1-669.5 Forestry
SD411-428 Conservation and protection Including forest influences, damage by elements, fires, forest reserves
spellingShingle SD1-669.5 Forestry
SD411-428 Conservation and protection Including forest influences, damage by elements, fires, forest reserves
Kamlisa U. Kamlun
Mui-How Phua
Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
description Aim of study: To study the anthropogenic factors that influence the fire occurrences in a peat swamp forest (PSF) in the northern part of Borneo Island. Area of study: Klias Peninsula, Sabah Borneo Island, Malaysia. Material and methods: Supervised classification using the maximum likelihood algorithm of multitemporal satellite imageries from the mid-80s to the early 20s was used to quantify the wetland vegetation change on Klias Peninsula. GISbased buffering analysis was made to generate three buffer zones with distances of 1000 m, 2000 m, and 3000 m based on each of three anthropogenic factors (settlement, agriculture, and road) that influence the fire events. Main results: The results showed that PSF, barren land, and grassland have significantly changed between 1991 and 2013. PSF plummeted by about 70% during the 19-year period. Agriculture exhibited the most significant anthropogenic factor that contributes to the deforestation of the PSF in this study area with the distance of 1001-2000 m in 1998 fire event and 0-1000 m in 2003. Additionally, the distance to settlement played an increasingly important role in the fire affected areas, as shown by the increase of weightages from 0.26 to 0.35. Research highlights: Our results indicate that agriculture is the most influential anthropogenic factor associated with the fire-affected areas. The distance to settlement played an increasingly important role in the fire affected areas and contributes to the deforestation of the PSF in these study areas.
format Article
author Kamlisa U. Kamlun
Mui-How Phua
author_facet Kamlisa U. Kamlun
Mui-How Phua
author_sort Kamlisa U. Kamlun
title Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
title_short Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
title_full Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
title_fullStr Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
title_full_unstemmed Anthropogenic influences on deforestation of peat swamp forest in Northern Borneo using remote sensing and GIS
title_sort anthropogenic influences on deforestation of peat swamp forest in northern borneo using remote sensing and gis
publisher ResearchGate
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/41078/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/41078/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41078/
http://dx.doi.org/10.5424/fs/2024331-20585
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