Patterns Analysis of Deforestation with Socio-Economic and Physical Factors Using GIS technique in Nan Province

Name: Jaruwan Nakpradab

ID: – 

Title: Patterns Analysis of Deforestation with Socio-Economic and Physical Factors Using GIS technique in Nan Province

Type: Thesis


Nan province is important abundant forest of Thailand. In addition, Nan river isone of the most important headwaters of the Chao Phraya river. Recently, therate of deforestation increasing can be affect by limitations of geographywhich most area cover by forest and the plain area has very less. Forest arecut down and burn for agricultural activities by farmer encroachment. Moreover,the state of economy in Nan province has slowly growth and Nan people incomehave below poverty expenditure line standards. One reason influence farmer toencroach forest area was insufficient arable land area and produced moreincome. Therefore, this study was selected as research area in this researchbecause it has interest of limitation area and socio-economic. This study hasthree objectives. The first objective was analysis of forest cover changes fromagriculture encroachment with physical factors using LULC change detection and spatialanalysis technique. Subsequently, analysis correlation between physical factorswith agricultural area using correlation coefficient. From this objective, itwas found that forest area is decreasing 12.86% and 13.18% of agricultural areais increasing in 2013. The main agricultural crop types change is corn whichaccount for about 97.60% and 91.81% in two-time period. The factors which havecorrelation with agricultural area included village distance, slope, and waterdistance which account for about 0.87 and -0.77, and 0.73. The second objectivewas to investigate the different scenarios of patterns of deforestation indifferent physical conditions using concept of matrix inverse. Physical factorsthat have high influence of deforestation from agricultural encroachmentincluding slope, village distance and water distance used to generate differentscenarios of patterns of deforestation. From this objective, it was found thatpatterns of deforestation were distributed by corn cultivated area and cover inarea as high terrace of (20 degree) and far from distance of village (5 km) andwater (300 m). The third objective was to investigate net agricultural incomefrom agricultural encroachment for deforestation with socio-economic factors.In this study used 12 different scenarios of patterns of deforestation togenerate net agricultural income. Comparison net farmer income with povertyexpenditure line standards and GPP. In addition, Comparison using arable landarea in Nan province with world’s cultivated land standard. For this study, itfound that net farmer income from GIS technique which has 6,931. 05 and 10,742.85 bath/farmer/year below the poverty expenditure line standards as Thailand,national and developing countries. This income had accuracy closed to GPP ofNan province. Furthermore, using arable land area in Nan province exceeds theexisting limitation of flat plain land area. In this study reveal that Nan’scultivated land per capita was 0.0180 which farmer in Thailand shouldhave cultivated land around 0.0023 per capita. However, agriculturalencroachment on deforestation in Nan province do not provide farmer to producesufficient income.

Keywords: Patterns of deforestation, Cultivatedland, Agricultural income, LULC change detection, GIS, Social- economic,Physical factors

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