Government Policy Influence on Land Use and Land Cover Changes: A 30-Year Analysis
Abstract
Doi: 10.28991/ESJ-2024-08-05-06
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References
Ali, H. (2009). Land use and land cover change, drivers and its impact: A comparative study from Kuhar Michael and Lenche Dima of Blue Nile and Awash Basins of Ethiopia. Ph.D. Thesis, Cornell University, Ithaca, United States.
Xie, Q., Han, Y., Zhang, L., & Han, Z. (2023). Dynamic Evolution of Land Use/Land Cover and Its Socioeconomic Driving Forces in Wuhan, China. International Journal of Environmental Research and Public Health, 20(4), 3316. doi:10.3390/ijerph20043316.
de Souza, J. M., Morgado, P., da Costa, E. M., & de Novaes Vianna, L. F. (2022). Modeling of Land Use and Land Cover (LULC) Change Based on Artificial Neural Networks for the Chapecó River Ecological Corridor, Santa Catarina/Brazil. Sustainability (Switzerland), 14(7), 4038. doi:10.3390/su14074038.
Shukla, S., Meshesha, T. W., Sen, I. S., Bol, R., Bogena, H., & Wang, J. (2023). Assessing Impacts of Land Use and Land Cover (LULC) Change on Stream Flow and Runoff in Rur Basin, Germany. Sustainability (Switzerland), 15(12), 9811. doi:10.3390/su15129811.
Shimizu, K., Murakami, W., Furuichi, T., & Estoque, R. C. (2023). Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm. Remote Sensing, 15(3), 851. doi:10.3390/rs15030851.
Arfasa, G. F., Owusu-Sekyere, E., & Doke, D. A. (2023). Predictions of land use/land cover change, drivers, and their implications on water availability for irrigation in the Vea catchment, Ghana. Geocarto International, 38(1), 2243093. doi:10.1080/10106049.2023.2243093.
Aka, K. S. R., Akpavi, S., Dibi, N. H., Kabo-Bah, A. T., Gyilbag, A., & Boamah, E. (2023). Toward understanding land use land cover changes and their effects on land surface temperature in yam production area, Côte d’Ivoire, Gontougo Region, using remote sensing and machine learning tools (Google Earth Engine). Frontiers in Remote Sensing, 4, 1221757. doi:10.3389/frsen.2023.1221757.
Sharma, M., Kumar, V., & Kumar, S. (2024). A systematic review of urban sprawl and land use/land cover change studies in India. Sustainable Environment, 10(1). doi:10.1080/27658511.2024.2331269.
Jung, M., Scharlemann, J. P. W., & Rowhani, P. (2020). Landscape-wide changes in land use and land cover correlate with, but rarely explain local biodiversity change. Landscape Ecology, 35(10), 2255–2273. doi:10.1007/s10980-020-01109-2.
Yaung, K. L., Chidthaisong, A., Limsakul, A., Varnakovida, P., & Nguyen, C. T. (2021). Land Use Land Cover Changes and Their Effects on Surface Air Temperature in Myanmar and Thailand. Sustainability, 13(19), 10942. doi:10.3390/su131910942.
Tahiru, A. A., Doke, D. A., & Baatuuwie, B. N. (2020). Effect of land use and land cover changes on water quality in the Nawuni Catchment of the White Volta Basin, Northern Region, Ghana. Applied Water Science, 10(8), 198. doi:10.1007/s13201-020-01272-6.
Ntukey, L. T., Munishi, L. K., Kohi, E., & Treydte, A. C. (2022). Land Use/Cover Change Reduces Elephant Habitat Suitability in the Wami Mbiki–Saadani Wildlife Corridor, Tanzania. Land, 11(2), 307. doi:10.3390/land11020307.
Halmy, M. W. A., Gessler, P. E., Hicke, J. A., & Salem, B. B. (2015). Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Applied Geography, 63, 101–112. doi:10.1016/j.apgeog.2015.06.015.
Hasan, S., Shi, W., Zhu, X., & Abbas, S. (2019). Monitoring of land use/land cover and socioeconomic changes in South China over the last three decades using landsat and nighttime light data. Remote Sensing, 11(14), 1658. doi:10.3390/rs11141658.
Nyatuame, M., Agodzo, S., Amekudzi, L. K., & Mensah-Brako, B. (2023). Assessment of past and future land use/cover change over Tordzie watershed in Ghana. Frontiers in Environmental Science, 11, 1139264. doi:10.3389/fenvs.2023.1139264.
National Research Council of Thailand. (1995). Landforms of Thailand from space. National Research Council of Thailand Bangkok, Thailand.
Hydrographic Department. (1990). Ao Bandon. [Map]. Royal Thailand. 91.55×71.88 cm, Hydrographic Department, Bangkok, Thailand.
Jarernpornnipat, A., Pedersen, O., Jensen, K. R., Boromthanarat, S., Vongvisessomjai, S., & Choncheanchob, P. (2003). Sustainable management of shellfish resources in Bandon Bay, Gulf of Thailand. Journal of Coastal Conservation, 9(2), 135–146. doi:10.1652/1400-0350(2003)009[0135:SMOSRI]2.0.CO;2.
Report No. 5/2022. (2022). Statistics of Marine Shellfish Culture Survey 2021. Fisheries Development Policy and Planning Division. Available online: https://www4.fisheries.go.th/local/index.php/main/view_qr_group/1408/7518 (accessed on June 2024)
Fisheries Development Policy and Planning Division. (2022). Quantity and Value of Marine Aquatic Animals Landed by Province 2021. No. Report 7/2022, Bangkok, Thailand.
Suanthong, P., & Thinbangtieo, O. (2019). The political ecology of the coastal resources management in Bandon Bay, Surat Thani Province. Burapha Journal of Political Economy, 7(2), 101-130. (in Thai).
OAE. (2004). Agricultural statistics of Thailand 2009. Office of Agricultural Economics (OAE), Ministry of Agriculture and Cooperatives, Bangkok, Thailand.
Chaisongkram, N. (2019). The development for strategic administration government policy of oil palm. Journal of MCU Nakhondhat, 6(3), 1258.
Unjan, R. (2015). Impact of area expansion policy of oil palm on food security in Thailand case study of Khuan Kreng peat swamp in Nakhon Si Thammarat, Phatthalung, and Songkla Provinces. PhD Thesis, Prince of Songkla University, Songkla Thailand.
Saswattecha, K., Hein, L., Kroeze, C., & Jawjit, W. (2016). Effects of oil palm expansion through direct and indirect land use change in Tapi river basin, Thailand. International Journal of Biodiversity Science, Ecosystem Services & Management, 12(4), 291–313. doi:10.1080/21513732.2016.1193560.
Srisunthon, P., & Chawchai, S. (2020). Land-Use Changes and the Effects of Oil Palm Expansion on a Peatland in Southern Thailand. Frontiers in Earth Science, 8, 559868. doi:10.3389/feart.2020.559868.
Sawusdee, A. (2010). Fishing status and management proposal in Bandon Bay, Suratthani Province, Thailand. Walailak Journal of Science and Technology (WJST), 7(2), 89-101.
Ruangpanupan, N., Ussawarujikulchai, A., Prapagdee, B., & Chavanich, S. (2022). Microplastics in the surface seawater of Bandon Bay, Gulf of Thailand. Marine Pollution Bulletin, 179, 113664. doi:10.1016/j.marpolbul.2022.113664.
Rodkwan, K., Ruairuen, W., & Khammanee, N. (2020). Heavy metal contamination in the sediments of the cockle culture area and Tha Thong estuary, Bandon Bay, Surat Thani province. Journal Science and Technology Songkhla Rajabhat University, 1(20, 41-57. (In Thai).
Wichaidit, S. (2009). Risk assessment of oysters (Crassostrea belcheri) cultured in Ban don Bay, Kanjanadit district, Suratthani province. Master Thesis, Prince of Songkla University, Songkla, Thailand. (in Thai).
Hemloha, K., Boonvichit, J., Raekasin, N., & Soboon, S. (2021). Exposure assessment of heavy metals from consumption of bivalves. Bulletin of the Department of Medical Sciences, 63(2), 233-245. (in Thai).
Muttitanon, W., & Tripathi, N. K. (2005). Land use/land cover changes in the coastal zone of Ban Don Bay, Thailand using Landsat 5 TM data. International Journal of Remote Sensing, 26(11), 2311–2323. doi:10.1080/0143116051233132666.
Rattanaphong, C. (2018). Analysis of the Economic and Social Impacts of Land Use Changes in the Coastal Areas of Bandon Bay, Surat Thani Province. Master Thesis, Chulalongkorn University, Bangkok, Thailand. (in Thai).
Bunruamkaew, K., & Murayama, Y. (2012). Land use and natural resources planning for sustainable ecotourism using GIS in Surat Thani, Thailand. Sustainability, 4(3), 412–429. doi:10.3390/su4030412.
Charupanthuset, T. (2557). Geoinformatics Project on Land Use and Population in Coastal Areas of Bandon Bay, Surat Thani Province, during 2001-2011. The Thailand Research Fund (TRF), Bangkok, Thailand. (in Thai).
Meteorological Department. (2022). Climate of Surat Thani province. Meteorological Department, Bangkok, Thailand. Available online: http://climate.tmd.go.th. (accessed on August 2024). (in Thai).
Koranteng, A., Zawila-Niedzwiecki, T., & Adu-Poku, I. (2016). Remote sensing study of land use/cover change in West Africa. Journal of Environment Protection and Sustainable Development, 2(3), 17-31.
Khairuddin, B., Yulianda, F., Kusmana, C., & Yonvitner. (2016). Degradation Mangrove by Using Landsat 5 TM and Landsat 8 OLI Image in Mempawah Regency, West Kalimantan Province year 1989 - 2014. Procedia Environmental Sciences, 33, 460–464. doi:10.1016/j.proenv.2016.03.097.
Zanella, L., Sousa, C. H. R., Souza, C. G., Carvalho, L. M. T., & Borém, R. A. T. (2012). A comparison of visual interpretation and object based image analysis for deriving landscape metrics. Proceedings of the 4th GEOBIA, Rio de Janeiro-Brazil, 7-9 May, 2012, Rio de Janeiro, Brazil.
Karimi, H., Jafarnezhad, J., Khaledi, J., & Ahmadi, P. (2018). Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in Iran. Arabian Journal of Geosciences, 11(19), 592. doi:10.1007/s12517-018-3940-5.
Leta, M. K., Demissie, T. A., & Tränckner, J. (2021). Modeling and prediction of land use land cover change dynamics based on land change modeler (LCM) in Nashe watershed, Upper Blue Nile basin, Ethiopia. Sustainability (Switzerland), 13(7), 3740. doi:10.3390/su13073740.
Tilahun, A. (2015). Accuracy Assessment of Land Use Land Cover Classification using Google Earth. American Journal of Environmental Protection, 4(4), 193. doi:10.11648/j.ajep.20150404.14.
Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences, 08(04), 611–622. doi:10.4236/ijg.2017.84033.
Bwalya Chisanga, C., C. Shepande, C., & Nkonde, E. (2022). CA-Markov Approach in Dynamic Modelling of LULCC Using ESA CCI Products over Zambia. Geographic Information Systems and Applications in Coastal Studies, Intechopen, London, United Kingdom. doi:10.5772/intechopen.103032.
Chowdhury, M. S. (2023). GIS based method for mapping actual LULC by combining seasonal LULCs. MethodsX, 11, 102472. doi:10.1016/j.mex.2023.102472.
Baig, M. F., Mustafa, M. R. U., Baig, I., Takaijudin, H. B., & Zeshan, M. T. (2022). Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia. Water (Switzerland), 14(3), 402. doi:10.3390/w14030402.
Gebresellase, S. H., Wu, Z., Xu, H., & Muhammad, W. I. (2023). Scenario-Based LULC Dynamics Projection Using the CA–Markov Model on Upper Awash Basin (UAB), Ethiopia. Sustainability (Switzerland), 15(2), 1683. doi:10.3390/su15021683.
Mokarram, M., & Pham, T. M. (2022). CA-Markov model application to predict crop yield using remote sensing indices. Ecological Indicators, 139, 108952. doi:10.1016/j.ecolind.2022.108952.
Chotchaiwong, P., & Wijitkosum, S. (2019). Predicting urban expansion and urban land use changes in Nakhon Ratchasima city using a CA-Markov model under two different scenarios. Land, 8(9), 140. doi:10.3390/land8090140.
Nouri, J., Gharagozlou, A., Arjmandi, R., Faryadi, S., & Adl, M. (2014). Predicting Urban Land Use Changes Using a CA-Markov Model. Arabian Journal for Science and Engineering, 39(7), 5565–5573. doi:10.1007/s13369-014-1119-2.
Keawtathip, S. (2020). A Study on the Oil Production Potential of Farmers in Suan Luang Subdistrict, Chaloem Phra Kiat District, Nakhon Si Thammarat Province. Master Thesis. Thaksin University, Songkhla, Thailand (in Thai).
Surat Thani Administrative. (2014). Surat Thani Development Plan 2005-2017. Available online: http://www.suratthani.go.th/home/. (accessed on September 2024). (in Thai).
Surat Thani Administrative. (2020). Surat Thani Development Plan 2018-2022. Available online: http://www.suratthani.go.th/home/. (accessed on September 2024). (in Thai)
Sowcharoensuk, C. (2022). Business/Industry Trends 2022-24: Palm Oil Industry. Krungsri Research, July 2022. Available online: https://www.krungsri.com/. (accessed on September 2024) (in Thai).
OAE. (2009). Agricultural statistics of Thailand 2009. Office of Agricultural Economics (OAE), Ministry of Agriculture and Cooperatives, Bangkok, Thailand.
OAE. (2021). Agricultural statistics of Thailand 2021. Office of Agricultural Economics (OAE), Ministry of Agriculture and Cooperatives, Bangkok, Thailand.
Nualnoom, P. (2014). Sustainability of alternative land uses–comparing biofuels and food crops in Thailand. Ph.D. Thesis, University of Surrey, Surrey, United Kingdom.
Na nakorn, A., Chevakidagarn, P., & Danteravanich, S. (2017). Environmental impact of white shrimp culture during 2012–2013 at Bandon Bay, Surat Thani Province: A case study investigating farm size. Agriculture and Natural Resources, 51(2), 109–116. doi:10.1016/j.anres.2016.08.007.
Mangrove Conservation Division. (2016). Operation manual for officials on guidelines for reclaiming mangrove forests according to government policies. Department of Marine and Coastal Resources, Bangkok, Thailand. Available online: https://www.dmcr.go.th/detailLib/2855. (accessed on September 2024). (in Thai).
Office of the National Economics and Social Development Council. (2016). The Twelfth National Economic and Social Development Plan, Office of the National Economics and Social Development Council, Bangkok, Thailand. Available online: https://www.nesdc.go.th. (accessed on September 2024). (in Thai).
Gandaseca, S., Rosli, N., Shawkat Hossain, M., & Imam Arianto, C. (2014). Assessment of oil palm plantation and tropical peat swamp forest water quality by multivariate statistical analysis. American Journal of Environmental Sciences, 10(4), 391–402. doi:10.3844/ajessp.2014.391.402.
Baharudin, F., Kassim, J., Imran, S. N. M., & Wahab, M. A. (2021). Water Quality Index (WQI) classification of rivers in agriculture and aquaculture catchments. IOP Conference Series: Earth and Environmental Science, 646(1), 12023. doi:10.1088/1755-1315/646/1/012023.
DOI: 10.28991/ESJ-2024-08-05-06
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