The Relationship Between Land Use/Land Cover Change and Land Degradation of a Natural Protected Area in Batang Merao Watershed, Indonesia
Land degradation in Batang Merao is regarded as one of the major environmental problems that can affect the sustainability of this natural protected area in Kerinci Seblat National Park. The aim of this study was to determine the linkages between land use/land cover (LULC) changes and land degradation using multitemporal Landsat data from 1990, 2000, and 2010. Based on a maximum-likelihood algorithm of the supervised classification method, images were classified into six classes: forest, mixed plantation, tea plantation, shrub/bush, agricultural land, and settlement. The results showed that during the past two decades, two major changes took place. Forest decreased at rates of 330.85 ha year−1 (period of 1990–2000) and 145.25 ha year−1 (period of 2000–2010); on the other hand, agricultural land, mixed plantation, and settlement have shown increments. Concerning land degradation, Batang Merao Watershed exhibited potential soil degradation where the mean annual potential land degradation was 128.03 tons ha−1 year−1 in 1990, 144.68 tons ha−1 year−1 in 2000, and 194.14 tons ha−1 year−1 in 2010. Based on statistical analysis (Pearson’s correlation coefficient), this study reveals a relationship between LULC change and land degradation in that land cover type plays an important role in protecting soil from land degradation in this watershed. Therefore, areas in an extremely high level of land degradation should be recommended as important for a conservation program.
KeywordsConservation Environmental Land cover Land use Protected area Sustainability
The authors acknowledge the Center for Development, Education and Training of Indonesian Planner (Pusbindiklatren-Bappenas RI), Regional Development Planning Board of Jambi Province, and the Global Environmental Leaders (GELs) Program of Graduate School for IDEC, Hiroshima University. We thank to Mr. Aris Rusyiana (a staff member of Indonesian Statistics Agency) for his statistical assistance.
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