Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process

Malaysia is estimated to have cultivated over 5 million hectares of oil palm (Elaeis guineensis), making it the most dominant plantation crop in the country. Malaysia produces about 45% of the world's total palm oil, and it exports about 80% of it. This study aims to identify suitable area for...

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Main Authors: Abubakar, Ahmed, Ishak, Mohd Yusoff, Abu Bakar, Aisyah, Uddin, Mohd Kamal, Ahmad, Mohammad Hadi, Abu Seman, Idris, Law, Mei Ching, Ahmad, Afandi, Hashim, Zulkifli
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Published: Springer 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108105/
https://link.springer.com/article/10.1007/s40808-022-01465-9?error=cookies_not_supported&code=6cf77dd6-b881-43cb-b48f-ed78e3c413bc
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spelling my.upm.eprints.1081052024-09-26T03:58:38Z http://psasir.upm.edu.my/id/eprint/108105/ Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process Abubakar, Ahmed Ishak, Mohd Yusoff Abu Bakar, Aisyah Uddin, Mohd Kamal Ahmad, Mohammad Hadi Abu Seman, Idris Law, Mei Ching Ahmad, Afandi Hashim, Zulkifli Malaysia is estimated to have cultivated over 5 million hectares of oil palm (Elaeis guineensis), making it the most dominant plantation crop in the country. Malaysia produces about 45% of the world's total palm oil, and it exports about 80% of it. This study aims to identify suitable area for oil palm production in Peninsular Malaysia using remote sensing and GIS techniques and Analytic Hierarchy Process (AHP). Modeling the climate suitability of oil palm production in Peninsular Malaysia using the AHP model of Multi-Criteria Evaluation (MCE) revealed that an annual rainfall rate of approximately (33) was the most important factor contributing to climate suitability. Other contributing factors to climate suitability include number of dry months (17%), annual mean temperature (11%), annual maximum temperature (8%), temperature of the coldest month (7%), slope (5%), elevation (5%), mean annual water deficit (4%), soil texture (4%), soil depth (3%) and coarse fragment (3%) is the least contributing factor. The findings of the study revealed that the current climate in Peninsular Malaysia are suitable for oil palm production. A highly suitable climate is found around Selangor, Kelantan, Perak and Kedah. Climates that are unsuitable are predicted to increase by 5.6% by 2040 and by 5.72% by 2080 from 1.77% in 2020. Climate conditions will become unsuitable for oil palm production along the coast of Pahang and Selangor, and Perlis by 2080. The study recommends the use of the improved variety, appropriate selection of planting area, irrigation where necessary, enhance institutional research on climate and oil palm, communication and availability of academic findings, and the use of technology transfer. Springer 2023 Article PeerReviewed Abubakar, Ahmed and Ishak, Mohd Yusoff and Abu Bakar, Aisyah and Uddin, Mohd Kamal and Ahmad, Mohammad Hadi and Abu Seman, Idris and Law, Mei Ching and Ahmad, Afandi and Hashim, Zulkifli (2023) Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process. Modeling Earth Systems and Environment, 9 (1). pp. 73-96. ISSN 2363-6203; ESSN: 2363-6211 https://link.springer.com/article/10.1007/s40808-022-01465-9?error=cookies_not_supported&code=6cf77dd6-b881-43cb-b48f-ed78e3c413bc 10.1007/s40808-022-01465-9
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Malaysia is estimated to have cultivated over 5 million hectares of oil palm (Elaeis guineensis), making it the most dominant plantation crop in the country. Malaysia produces about 45% of the world's total palm oil, and it exports about 80% of it. This study aims to identify suitable area for oil palm production in Peninsular Malaysia using remote sensing and GIS techniques and Analytic Hierarchy Process (AHP). Modeling the climate suitability of oil palm production in Peninsular Malaysia using the AHP model of Multi-Criteria Evaluation (MCE) revealed that an annual rainfall rate of approximately (33) was the most important factor contributing to climate suitability. Other contributing factors to climate suitability include number of dry months (17%), annual mean temperature (11%), annual maximum temperature (8%), temperature of the coldest month (7%), slope (5%), elevation (5%), mean annual water deficit (4%), soil texture (4%), soil depth (3%) and coarse fragment (3%) is the least contributing factor. The findings of the study revealed that the current climate in Peninsular Malaysia are suitable for oil palm production. A highly suitable climate is found around Selangor, Kelantan, Perak and Kedah. Climates that are unsuitable are predicted to increase by 5.6% by 2040 and by 5.72% by 2080 from 1.77% in 2020. Climate conditions will become unsuitable for oil palm production along the coast of Pahang and Selangor, and Perlis by 2080. The study recommends the use of the improved variety, appropriate selection of planting area, irrigation where necessary, enhance institutional research on climate and oil palm, communication and availability of academic findings, and the use of technology transfer.
format Article
author Abubakar, Ahmed
Ishak, Mohd Yusoff
Abu Bakar, Aisyah
Uddin, Mohd Kamal
Ahmad, Mohammad Hadi
Abu Seman, Idris
Law, Mei Ching
Ahmad, Afandi
Hashim, Zulkifli
spellingShingle Abubakar, Ahmed
Ishak, Mohd Yusoff
Abu Bakar, Aisyah
Uddin, Mohd Kamal
Ahmad, Mohammad Hadi
Abu Seman, Idris
Law, Mei Ching
Ahmad, Afandi
Hashim, Zulkifli
Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
author_facet Abubakar, Ahmed
Ishak, Mohd Yusoff
Abu Bakar, Aisyah
Uddin, Mohd Kamal
Ahmad, Mohammad Hadi
Abu Seman, Idris
Law, Mei Ching
Ahmad, Afandi
Hashim, Zulkifli
author_sort Abubakar, Ahmed
title Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
title_short Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
title_full Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
title_fullStr Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
title_full_unstemmed Geospatial simulation and mapping of climate suitability for oil palm (Elaeis guineensis) production in Peninsular Malaysia using GIS/remote sensing techniques and analytic hierarchy process
title_sort geospatial simulation and mapping of climate suitability for oil palm (elaeis guineensis) production in peninsular malaysia using gis/remote sensing techniques and analytic hierarchy process
publisher Springer
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108105/
https://link.springer.com/article/10.1007/s40808-022-01465-9?error=cookies_not_supported&code=6cf77dd6-b881-43cb-b48f-ed78e3c413bc
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score 13.209306