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Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS

Context: It is essential to assess the suitable habitat for elephants in order to mitigate the effects of forest fragmentation on conservation. Aims: This study aimed to estimate the potential suitable habitats for Sumatran elephants in the fragmented forest in the Padang Sugihan wildlife reserve ar...

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Main Authors: Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim, Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi
Format: Article
Language:English
English
Published: Taylor & Francis Group 2023
Subjects:
QH540-549.5 Ecology
SD250-363.3 Forestry education
Online Access:https://eprints.ums.edu.my/id/eprint/38180/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38180/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38180/
https://doi.org/10.1080/21580103.2023.2234463
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spelling my.ums.eprints.381802024-02-08T08:19:45Z https://eprints.ums.edu.my/id/eprint/38180/ Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS Muhammad Rendana Wan Mohd Razi Idris Sahibin Abdul Rahim Hazem Ghassan Abdo Hussein Almohamad Ahmed Abdullah Al Dughairi QH540-549.5 Ecology SD250-363.3 Forestry education Context: It is essential to assess the suitable habitat for elephants in order to mitigate the effects of forest fragmentation on conservation. Aims: This study aimed to estimate the potential suitable habitats for Sumatran elephants in the fragmented forest in the Padang Sugihan wildlife reserve area in southern Sumatra, Indonesia. Methods: The habitat suitability was analyzed using some environmental factors such as slope, elevation, land cover, distance to rivers, and distance to agricultural areas. The remote sensing, geographic information system (GIS), and MaxEnt model were used to determine the potential habitat suitability for Sumatran elephants. Results: This study revealed areas of suitable habitat were evenly distributed throughout the study area, with the composition being suitable (45%), highly suitable (5%), and less suitable (50%). This study revealed the most suitable habitats were found in dense forest areas (gelam or Melaleuca cajuputi forest), which were highly affected by river adjacency, whereas agricultural areas resulted in constrained suitability and fragmentation of forested areas. Conclusions: As a whole, the estimation of elephant habitat using remote sensing and GIS may guide the development of conservation strategies for elephant conservation in this region. Taylor & Francis Group 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38180/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38180/2/FULL%20TEXT.pdf Muhammad Rendana and Wan Mohd Razi Idris and Sahibin Abdul Rahim and Hazem Ghassan Abdo and Hussein Almohamad and Ahmed Abdullah Al Dughairi (2023) Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS. Forest Science and Technology, 19 (3). pp. 1-12. ISSN 2158-0715 https://doi.org/10.1080/21580103.2023.2234463
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 QH540-549.5 Ecology
SD250-363.3 Forestry education
spellingShingle QH540-549.5 Ecology
SD250-363.3 Forestry education
Muhammad Rendana
Wan Mohd Razi Idris
Sahibin Abdul Rahim
Hazem Ghassan Abdo
Hussein Almohamad
Ahmed Abdullah Al Dughairi
Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
description Context: It is essential to assess the suitable habitat for elephants in order to mitigate the effects of forest fragmentation on conservation. Aims: This study aimed to estimate the potential suitable habitats for Sumatran elephants in the fragmented forest in the Padang Sugihan wildlife reserve area in southern Sumatra, Indonesia. Methods: The habitat suitability was analyzed using some environmental factors such as slope, elevation, land cover, distance to rivers, and distance to agricultural areas. The remote sensing, geographic information system (GIS), and MaxEnt model were used to determine the potential habitat suitability for Sumatran elephants. Results: This study revealed areas of suitable habitat were evenly distributed throughout the study area, with the composition being suitable (45%), highly suitable (5%), and less suitable (50%). This study revealed the most suitable habitats were found in dense forest areas (gelam or Melaleuca cajuputi forest), which were highly affected by river adjacency, whereas agricultural areas resulted in constrained suitability and fragmentation of forested areas. Conclusions: As a whole, the estimation of elephant habitat using remote sensing and GIS may guide the development of conservation strategies for elephant conservation in this region.
format Article
author Muhammad Rendana
Wan Mohd Razi Idris
Sahibin Abdul Rahim
Hazem Ghassan Abdo
Hussein Almohamad
Ahmed Abdullah Al Dughairi
author_facet Muhammad Rendana
Wan Mohd Razi Idris
Sahibin Abdul Rahim
Hazem Ghassan Abdo
Hussein Almohamad
Ahmed Abdullah Al Dughairi
author_sort Muhammad Rendana
title Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
title_short Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
title_full Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
title_fullStr Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
title_full_unstemmed Habitat suitability analysis in a natural peat swamp forest on Sumatran elephants using remote sensing and GIS
title_sort habitat suitability analysis in a natural peat swamp forest on sumatran elephants using remote sensing and gis
publisher Taylor & Francis Group
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/38180/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38180/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38180/
https://doi.org/10.1080/21580103.2023.2234463
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score 13.211869

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