Agricultural Land Evaluation Using GIS-Based Matching Method in Highland Areas for Oil Palm Cultivation
Abstract
Oil palm (Elaeis guineensis) is one of the commodity crops and is mostly found in tropical lands. This study aimed to analyze the current and potential land suitability for oil palm using the geographic information system (GIS) technique. The study was conducted in the Ranau District, Sabah State, Malaysia. Field activity was carried out to collect soil samples and land information in the study area. Land suitability was then assessed using the matching method and GIS software was employed to produce a land suitability map for oil palm. The results indicated that the current land suitability classes in the study area were highly suitable (S1) with a total area of 99,118 ha (27.4%); moderately suitable (S2) with 110,108 ha (30.4%); marginally suitable (S3) with 109,533 ha (30.2%); currently not suitable (N1) with 2,728 ha (0.7%) and permanently not suitable (N2) with 40,693 ha (11.3%). Meanwhile, the potential land suitability classes showed 198,206 ha (54.7%) for S1; 123,281 ha (34%) for S2 and 40,693 ha (11.3%) for N2. Suitable areas that could be planted with oil palm included the gently sloping flank and the low gradient slope margin. Availability of nutrients and work capability were the dominant limiting factors in the study area. The outputs of this study recommend that the Ranau District has the potential for oil palm although it still needs land improvements for sustainable oil palm cultivation.
Keywords
Full Text:
PDFReferences
Abd Aziz, N., Omar, W., Samah, M., & Hashim, Z. (2019). Topographic information from interferometric synthetic aperture radar (IfSAR) for oil palm plantation design, suitability and management. Journal of Environmental Science and Engineering, 8, 159–172. https://doi.org/10.17265/2162-5298/2019.04.003
Abdullahi, S., & Pradhan, B. (2018). Land use change modeling and the effect of compact city paradigms: Integration of GIS-based cellular automata and weights-of-evidence techniques. Environmental Earth Sciences, 77(6), 1–15. https://doi.org/10.1007/s12665-018-7429-z
AL-Taani, A., Al-husban, Y., & Farhan, I. (2021). Land suitability evaluation for agricultural use using GIS and remote sensing techniques: The case study of Ma’an Governorate, Jordan. The Egyptian Journal of Remote Sensing and Space Science, 24(1), 109–117. https://doi.org/10.1016/j.ejrs.2020.01.001
Baghbani-Arani, A., Modarres-Sanavy, S. A. M., & Poureisa, M. (2021). Improvement the soil physicochemical properties and fenugreek growth using zeolite and vermicompost under water deficit conditions. Journal of Soil Science and Plant Nutrition, 21(2), 1213–1228. https://doi.org/10.1007/s42729-021-00452-w
Department of Statistic of Malaysia. (2019). Census report of Malaysian agricultural organizations.Food and Agriculture Organization. (1976). A framework for land evaluation. United Nations: FAO. Retrieved from https://scholar.google.co.id/scholar?cluster=18422412691108139125&hl=id&as_sdt=2005&sciodt=0,5
Gunawan, S., Budiastuti, M. T. S., Sutrisno, J., & Wirianata, H. (2020). Effects of organic materials and rainfall intensity on the productivity of oil palm grown under sandy soil condition. International Journal on Advanced Science, Engineering and Information Technology, 10(1), 356–361. http://dx.doi.org/10.18517/ijaseit.10.1.11001
Habibie, M. I., Noguchi, R., Shusuke, M., & Ahamed, T. (2019). Land suitability analysis for maize production in Indonesia using satellite remote sensing and GIS-based multicriteria decision support system. GeoJournal, 86, 777–807. https://doi.org/10.1007/s10708-019-10091-5
Harahap, F. S., Sitompul, R., Rauf, A., Harahap, D. E., & Walida, H. (2019). Land suitability evaluation for oil palm plantations (Elaeis guenensis jacq) on Sitellu Tali Urang Julu, Pakpak Bharat District. IOP Conference Series: Earth and Environmental Science, 260, 012116. https://doi.org/10.1088/1755-1315/260/1/012116
Hassan, F. O., Salam, A. A. A., Rashed, H. S., & Faid, A. M. (2017). Land evaluation and suitability of Hala’ib and Shalateen region, Egypt, by integrated use of GIS and remote sensing techniques. Annals of Agricultural Science, 55, 151–162. Retrieved from https://aasj.bu.edu.eg/upload/2017/5922caf2220d25.46175553.pdf
Jakkula, V. S., & Wani, S. P. (2018). Zeolites: Potential soil amendments for improving nutrient and water use efficiency and agriculture productivity. Scientific Reviews & Chemical Communications, 8(1), 1–15. Retrieved from https://www.researchgate.net/publication/325544295_Zeolites_Potential_soil_amendments_for_improving_nutrient_and_water_use_efficiency_and_agriculture_productivity
Karthikeyan, K., Kumar, N., Yousuf, A., Bhople, B. S., & Naitam, R. K. (2019). Land evaluation: A general perspective. CRC Press. Retrieved from https://www.taylorfrancis.com/chapters/edit/10.1201/9780429430633-11/land-evaluation-general-perspective-karthikeyan-nirmal-kumar-abrar-yousuf-balkrishna-bhople-pushpanjali-rk-naitam
Kome, G. K., Tabi, F. O., Enang, R. K., & Silatsa, F. B. T. (2020). Land suitability evaluation for oil palm (Elaeis guineensis Jacq.) in coastal plains of Southwest Cameroon. Open Journal of Soil Science, 10(7), 257. https://doi.org/10.4236/ojss.2020.107014
Kurniawan, S., Corre, M. D., Matson, A. L., Schulte-Bisping, H., Utami, S. R., Straaten, O. V., & Veldkamp, E. (2018). Conversion of tropical forests to smallholder rubber and oil palm plantations impacts nutrient leaching losses and nutrient retention efficiency in highly weathered soils. Biogeosciences, 15(16), 5131–5154. https://doi.org/10.5194/bg-15-5131-2018
Maleki, F., Kazemi, H., Siahmarguee, A., & Kamkar, B. (2017). Development of a land use suitability model for saffron (Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis. Ecological Engineering, 106, 140–153. https://doi.org/10.1016/j.ecoleng.2017.05.050
Montgomery, B., Dragićević, S., Dujmović, J., & Schmidt, M. (2016). A GIS-based Logic Scoring of Preference method for evaluation of land capability and suitability for agriculture. Computers and Electronics in Agriculture, 124, 340–353. https://doi.org/10.1016/j.compag.2016.04.013
Nguyen, H., Nguyen, T., Hoang, N., Bui, D., Vu, H., & Van, T. (2020). The application of LSE software: A new approach for land suitability evaluation in agriculture. Computers and Electronics in Agriculture, 173, 105440. https://doi.org/10.1016/j.compag.2020.105440
Nurda, N., Noguchi, R., & Ahamed, T. (2020). Change detection and land suitability analysis for extension of potential forest areas in Indonesia using satellite remote sensing and GIS. Forests, 11(4), 398. https://doi.org/10.3390/f11040398
Oktarita, S., Hergoualc’h, K., Anwar, S., & Verchot, L. V. (2017). Substantial N2O emissions from peat decomposition and N fertilization in an oil palm plantation exacerbated by hotspots. Environmental Research Letters, 12(10), 104007. https://doi.org/10.1088/1748-9326/aa80f1
Ostovari, Y., Honarbakhsh, A., Sangoony, H., Zolfaghari, F., Maleki, K., & Ingram, B. (2019). GIS and multi-criteria decision-making analysis assessment of land suitability for rapeseed farming in calcareous soils of semi-arid regions. Ecological Indicators, 103, 479–487. https://doi.org/10.1016/j.ecolind.2019.04.051
Pilevar, A. R., Matinfar, H. R., Sohrabi, A., & Sarmadian, F. (2020). Integrated fuzzy, AHP and GIS techniques for land suitability assessment in semi-arid regions for wheat and maize farming. Ecological Indicators, 110, 105887. https://doi.org/10.1016/j.ecolind.2019.105887
Radočaj, D., Jurišić, M., Gašparović, M., & Plaščak, I. (2020). Optimal soybean (Glycine max L.) land suitability using GIS-based multicriteria analysis and sentinel-2 multitemporal images. Remote Sensing, 12(9), 1463. https://doi.org/10.3390/rs12091463
Rahmawaty, R., Frastika, S., Rauf, A., Batubara, R., & Harahap, F. S. (2020). Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system. Biodiversitas Journal of Biological Diversity, 21(8), 3683–3690. https://doi.org/10.13057/biodiv/d210835
Ritung, S., Nugroho, K., Mulyani, A., & Suryani, E. (2011). Technical guidelines for evaluating land for agricultural commodities (Revised edition). Center for Agricultural Land Resources Research and Development, Agricultural Research and Development Center. Retivied from https://scholar.google.com/scholar?cluster=12591206551318515835&hl=id&as_sdt=2005&sciodt=0,5
Roslee, R., & Sharir, K. (2019). Integration of GIS-Based RUSLE model for land planning and environmental management in Ranau Area, Sabah, Malaysia. ASM Science Journal, 12, 60–69. Retrieved from https://www.akademisains.gov.my/asmsj/article/integration-of-gis-based-rusle-model-for-land-planning-and-environmental-management-in-ranau-area-sabah-malaysia/
Sahibin, A. R., Shamshuddin, J., Fauziah, C. I., Radziah, O., Wan Mohd Razi, I., & Enio, M. S. K. (2019). Impact of Mg rich synthetic gypsum application on the environment and palm oil quality. Science of the Total Environment, 652, 573–582. https://doi.org/10.1016/j.scitotenv.2018.10.232
Sahibin, A. R. (1995). System of crop selection in relation to land suitability in the Ranau District Sabah, Malaysia [Unpublished Doctoral dissertation]. Wales: University of Wales. Retrivied from https://scholar.google.com/scholar?hl=id&as_sdt=0%2C5&q=System+of+crop+selection+in+relation+to+land+suitability+in+the+Ranau+District+Sabah%2C+Malaysia+%5BUnpublished+Doctoral+dissertation%5D&btnG=
Senes, G., Fumagalli, N., Ferrario, P. S., Rovelli, R., & Sigon, R. (2020). Definition of a land quality index to preserve the best territories from future land take. An application to a study area in Lombardy (Italy). Journal of Agricultural Engineering, 51(1), 43–55. https://doi.org/10.4081/jae.2020.1006
Simon, N., Azlan, N. N. N., Roslee, R., Hussein, A., Ern, L. K., & Sharir, K. (2017). Physical soil characterization on stable and failed slopes of the Ranau-Tambunan road, Sabah, Malaysia. Nature Environment and Pollution Technology, 16(2), 659–665. Retrieved from https://neptjournal.com/upload-images/NL-60-47-(45)D-604com.pdf
Tashakor, M., Modabberi, S., van der Ent, A., & Echevarria, G. (2018). Impacts of ultramafic outcrops in Peninsular Malaysia and Sabah on soil and water quality. Environmental Monitoring and Assessment, 190(6). Retrieved from https://espace.library.uq.edu.au/view/UQ:728990/Tashakor_et_al_2018.pdf
Van der Ent, A., & Edraki, M. (2018). Environmental geochemistry of the abandoned Mamut copper mine (Sabah) Malaysia. Environmental Geochemistry and Health, 40(1), 189–207. https://doi.org/10.1007/s10653-016-9892-3
Waite, P. A., Schuldt, B., Mathias Link, R., Breidenbach, N., Triadiati, T., Hennings, N., & Leuschner, C. (2019). Soil moisture regime and palm height influence embolism resistance in oil palm. Tree Physiology, 39(10), 1696–1712. https://doi.org/10.1093/treephys/tpz061
Zhang, X., Du, S., Du, S., & Liu, B. (2020). How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing. Remote Sensing of Environment, 249, 1–8. https://doi.org/10.1016/j.rse.2020.112014
Refbacks
- There are currently no refbacks.