INTEGRATION OF GEOSPATIAL MODELS FOR THE ALLOCATION OF DEFORESTATION HOTSPOTS AND FOREST PROTECTION UNITS
Abstract
Geospatial models play an important role in predicting land use and land cover (LULC) data and are applied in various aspects such as land use planning and management, and deforestation vulnerability analysis for forest conservation and protection. Therefore, integration of geospatial models for a LULC prediction and deforestation vulnerability analysis (DVA) are here examined for the allocation of deforestation hotspots and forest protection units to prevent deforestation in the protected forest areas (PFAs) of Phuket Island. The main objectives of the study were: (1) to identify the optimum geospatial model for the LULC prediction, (2) to examine the optimum geospatial model for the DVA and zonation, and (3) to allocate deforestation hotspots and forest protection units for the PFAs. The 4 main components of the research methodology that were implemented comprised: (1) data collection and preparation; (2) optimum geospatial modelling for the LULC prediction; (3) optimum geospatial modelling for the DVA; and (4) the allocation of deforestation hotspots and forest protection units. From the results of the LULC interpretation of remote sensing data between 1995 and 2014, all 15 PFAs on Phuket Island were deforested with an annual rate ranging between 0.0001-0.2082 sq.km. The causes of deforestation were the conversion of forest land to urban and built-up areas and the expansion of agricultural land. In this study, the CLUE-S and CA-Markov models were chosen as the optimum geospatial models for the LULC prediction of 9 and 6 PFAs, respectively, while the frequency ratio model was identified as the optimum geospatial model for the DVA and zonation of the 15 PFAs. According to the LULC prediction for 2026, the highest annual deforestation rate of the PFAs during the period from 2014 to 2026 will occur in Khao Kamala national reserved forest (NRF) with a value of 0.1400 sq. km, while the lowest annual deforestation rate will occur in Khong Tarau NRF with a value of 0.0001 sq. km. Meanwhile, the number of PFAs with low and high risks of deforestation in the future based on the percentages of deforestation vulnerability zonation was 11 and 4, respectively. In the case of the allocation of deforestation hotspots and forest protection units, 408 deforestation hotspots were
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