Publication: Determination of Land Suitability for Oil Palm with Multi-dimension Decision Support Using Analytic Network Process (ANP) in Southern Thailand
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Issued Date
2023
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มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
Springer Geography. Vol , No. (2023), p.217-237
Suggested Citation
Arunplod C., Witayangkurn A., Kongtong D. Determination of Land Suitability for Oil Palm with Multi-dimension Decision Support Using Analytic Network Process (ANP) in Southern Thailand. Springer Geography. Vol , No. (2023), p.217-237. doi:10.1007/978-3-031-16217-6_17 Retrieved from: https://hdl.handle.net/20.500.14740/11274
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Abstract
Oil palm is one of the most important economic crops in Thailand. It contributes to the product in variety like petrol, cosmetics, consumer products, etc. The main problem for plantation oil palm plantation is improper land for plantation. Therefore, it results in fluctuations in reduction of quality and production quantity. The main objective of this study is to assess the land suitability for oil palm using multi-dimension criteria in Surat Thani and Krabi provinces, in Southern Thailand, through the analytic network process (ANP) integrated with geographic information system (GIS). The study was carried out with 28 layers grouped into six main criteria: topography, climate, physical soil, chemical soil, disaster events, and socioeconomic factors. All 28 criteria layers are weighted based on expert opinions according to the ANP method. The ANP disclosed that the rainfall is the most affecting criteria for oil palm plantation; the highest weight score is 0.112. Results from this study reveal two climate conditions: (1) land suitability for oil palm plantation based on 1-year climate data, a very highly suitable class is 273.6 km2 (1.5%), and (2) oil palm suitability based on 5-year accumulated data, a very highly suitable class is 388.9 km2 (2.2%). The suitable difference areas are affected by the variable rainfall and dry season conditions relating to the climate change situation at the local scale. Finally, this study developed an effective decision tool for local farmers to manage their plantations with multi-dimensions to sustain the quality and quantity of oil palm yield. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.