期刊
ECOLOGICAL INDICATORS
卷 57, 期 -, 页码 182-195出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecolind.2015.04.024
关键词
Great Himalayan National Park; Environmental vulnerability; Remote sensing; Geographic information system; Spatial principal component analysis; Environmental vulnerability integrated index
The Great Himalayan National Park (GHNP), located in western Himalaya, is a key mountainous ecosystem prone to environmental vulnerability because of anthropogenic stress and the natural disasters, viz., landslide and forest fire. We assessed the environmental vulnerability of the eco-development zone of GHNP using remote sensing (RS) and geographic information system (GIS) technologies. To quantify the environmental vulnerability, a numerical model using spatial principal component ahalysis (SPCA) was developed. This model considered five factors: land use/land cover, forest canopy density, forest fire risk, landslide susceptibility and human population density. The environmental vulnerability integrated index (EVSI) calculated for the 1990, 2000 and 2010 periods was found to be 2.00, 2.72, and 3.40, respectively. The results showed temporal increase in the environmental vulnerability in the zone. Based on the numerical outputs, the vulnerability of the region was categorized into five classes: potential, slight, medium, high, and severe. The primary factor responsible for the increase in vulnerability overtime was land use/land cover change in the study area due to hydro-electric power projects, construction of roads, and other infrastructure developments. Forest fire and decreased forest canopy density are other major contributing factors responsible for the increase in the environmental vulnerability. Our results indicated that integration of RS, GIS and SPCA can effectively quantify and assess environmental vulnerability. (C) 2015 Elsevier Ltd. All rights reserved.
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