Spatial Modelling of Deforestation Based on Social Driving Force in South Sulawesi and West Sulawesi from 1990 to 2016

4th International Conference of Indonesian Society for Remote Sensing

物理学;能源学

Rijal, S.^1 ; Nismayani^1 ; Mahbub, M.A.S.^1 ; Pachri, H.^1 ; Nurmiaty^1 ; Arif, S.^1

Faculty of Forestry, Hasanuddin University, Makassar, Indonesia^1

关键词: Driving forces;    PCA (principal component analysis);    Population densities;    Principal Components;    Social economy;    Social factor;    Spatial modeling;    Spatial modelling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/280/1/012027/pdf
DOI  :  10.1088/1755-1315/280/1/012027

来源: IOP

【 摘 要 】

Deforestation is a permanent change of forest cover area to non-forest cover area. Social factors contribute more to the occurrence of deforestation, so this study was directed to examine the social factors that drive deforestation. Research location selected based on the key vulnerability of deforestation profiles. This study only used moderately vulnerability and vulnerability profile. Data analysis in this research using PCA (Principal Component Analysis) Method. The results explained that the Spatial Deforestation Model in South Sulawesi and West Sulawesi have differences based on the vulnerability profile. The dominant deforestation profiles affected were population density, productive age and employment. Population density affects deforestation because the site is always experiencing an increase in population and is not balanced with the extent of its territory, especially on vulnerable profiles. Productive age is very influential and increasing. The employment is also one of the most influencing of deforestation. The field of education itself does not give a significant effect. The spatial model of deforestation based on social factors in South Sulawesi shows that in the same profile different influences were found. In West Sulawesi, social involvement tends to be the same for each profile. The influence of population, productive age and availability of regions has a significant influence on the incidence of deforestation.