Abstract
Deforestation in Thailand is mainly caused by human activities. Because the remaining wildlife sanctuaries are surrounded by community areas, they are sensitive to changes, including the expansion of deforestation for agriculture and settlement-related land uses. This is the case at the study site in the Huai Thap Salao watershed (HTSW) in Changwat Uthaithani, Thailand. A geographic information system (GIS), remote sensing and the CLUE-s model were used to gather and analyze the spatial patterns of land use changes and to predict future land use patterns more quickly and efficiently. Changes in the detected land use in HTSW during the 1988–2007 period revealed that the total forest land decreased by 41.2 km2 (7.36 % of the forested area in 1988), whereas agricultural land increased by 21.1 km2 (10.5 %) over this time period, followed by water bodies (13.61 km2; 491 %) and urban/built-up land (6.45 km2; 195 %). The CLUE-s model was used to simulate the past land use patterns and to predict future land use patterns over the next two decades (until 2027) with and without any designated conservation (wildlife reserve) area. Without any spatial policy and/or restrictions, the predicted trend was an increased amount of forest land being converted into new areas of agricultural and urban/built-up land in the middle of the watershed area and an expansion of agricultural and urban/built-up land into parts of the Huai Kha Khaeng Wildlife Sanctuary.
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References
Braimoh AK, Vlek PLG (2004) Land-cover dynamics in an urban area of Ghana. Earth Interact 8:1–15
Brink AB, Eva HD (2009) Monitoring 25 years of land cover change dynamics in Africa: a sample based remote sensing approach. Appl Geogr 29:501–512
Chotpantarat S, Chanyatha, S (2003) The effect of land use changes on floods in Phetchaburi River Basin. In: Proceedings of 41st Kasetsart University Annual Conference, pp 367–376
Engelsman W (2002) Simulating land use changes in urbanizing area in Malaysia. Doctoral dissertation, Department of Environmental Sciences Faculty of Environmental Sciences, Wageningen University
FAO (2003) Terminology for integrated resources planning and management. Food and Agriculture Organization/United Nations Environmental Programme, Rome
Gao J, Liu Y, Chen Y (2006) Land cover changes during agrarian restructuring in Northeast China. Appl Geogr 26:312–322. doi:10.1016/j.apgeog.2006.09.001
Garson GB (2001) Logistic regression. Statistical Associates Publishing. http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm. Accessed 3 June 2011
Geist HJ, Lambin EF (2002) Proximate causes and underlying driving forces of tropical deforestation. Bioscience 52:143–150
Jensen JR, Kiefer RW (2007) Remote sensing of the environment, 2nd edn. Pearson Prentice Hall, New Jersey
Kolios S, Stylios CD (2013) Identification of land cover/land use changes in the greater area of the Preveza peninsula in Greece using Landsat satellite data. Appl Geogr 40:150–160
Kurtz DB, Schellberg J, Braun M (2010) Ground and satellite based assessment of rangeland management in sub-tropical Argentina. Appl Geogr 30:210–220
Lillesand TM, Kiefer RW, Chipman JW (2008) Remote sensing and image interpretation. John Wiley and Sons, New Jersey
Mallinis G, Emmanoloudis D, Giannakopoulos V, Maris F, Koutsia N (2011) Mapping and interpreting historical land cover/land use changes in a Natura 2000 site using earth observational data: the case of Nestos delta, Greece. Appl Geogr 31:312–320
McCullagh P, Nelder J (1989) Generalized Linear Models. CRC Press, Boca Raton
Mendoza M, Granados EL, Geneletti D, Perez-Salicrup DR (2011) Analysing land cover and land use change processes at watershed level: a multitemporal study in the Lake Cuitzeo Watershed, Mexico (1975–2003). Appl Geogr 31:237–250
Mengistu DA (2008) Remote sensing and gis-based Land use and land cover change detection in the upper Dijo river catchment, Silte zone, Southern Ethiopia. Dissertation, Addis Ababa University
Muller MR, Middleton J (1994) A Markov model of land-use change dynamics in the Niagara, Ontario, Canada. Landsc Ecol 9(2):151–157
Myint SW, Lam N (2005) A study of lacunarity-based texture analysis approaches to improve urban image classification. Comput Environ Urban Syst 29:501–523
Pelorosso R, Leone A, Boccia L (2009) Land cover and land use change in the Italian central Apennines: a comparison of assessment methods. Appl Geogr 29:35–48
Satika B, Chotpantarat S (2014) Simulation of nitrate concentration affected from land use changes in the lower part of Yom river basin, Thailand: a preliminary study. Adv Mater Res 931–932:738–743
Schulz JJ, Cayuela L, Echeverria C, Salas J, Benayas JMR (2010) Monitoring land cover change of the dryland forest landscape of Central Chile (1975–2008). Appl Geogr 30:436–447
Trisurat Y, Alkemade R, Verburg PH (2010) Projecting land-use change and its consequences for biodiversity in Northern Thailand. Environ Manag 45:626–639
Verburg PH, Veldkamp A (2001) The role of spatially explicit models in land-use change research: a case study for cropping patterns in China. Agric Ecosyst Environ 85:177–190
Verburg PH, Veldkamp A (2004) Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landsc Ecol 19:77–98
Verburg PH, Soepboer W, Veldkamp A, Limpiada R, Espaldon V, Mastura SSA (2002) Modeling the spatial dynamics of regional land use: the CLUE-s model. Environ Manag 30:391–405
Verburg PH, Eickhout B, Van Meijl H (2008) A multi-scale, multi-model approach for analyzing the future dynamics of European land use. Ann Reg Sci 42(1):57–77
Weiguo J, Zheng C, Xuan L, Xuan L, Kai J, Yongfeng W (2015) Simulating urban land use change by incorporating an autogistic regression model into a CLUE-S model. J Geogr Sci 25(7):836–850
Wyman MS, Stein TV (2010) Modeling social and land-use/land-cover change data to assess drivers of smallholder deforestation in Belize. Appl Geogr 30:329–342
Yumuang S (2005) Evaluation of potential for 2001 debris flood in the vinicity of Namko area, Amphoe Lom Sak, Changwat Phetchabun, Central Thailand. Dissertation. Chulalongkorn University
Acknowledgments
This work was partially supported by the Graduate School of Chulalongkorn University and the Ratchadaphiseksomphot Endowment Fund of Chulalongkorn University (CU-57-061-CC). The CLUE-s model was provided by Tom Veldkamp, Louise Fresco and Peter Verburg from the Institute for Environmental Studies (IVM), VU University, Amsterdam.
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Waiyasusri, K., Yumuang, S. & Chotpantarat, S. Monitoring and predicting land use changes in the Huai Thap Salao Watershed area, Uthaithani Province, Thailand, using the CLUE-s model. Environ Earth Sci 75, 533 (2016). https://doi.org/10.1007/s12665-016-5322-1
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DOI: https://doi.org/10.1007/s12665-016-5322-1