LoboVault Home

Determinants of Deforestation in Nepal's Central Development Region

LoboVault

Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/6932

Determinants of Deforestation in Nepal's Central Development Region

Show full item record

Title: Determinants of Deforestation in Nepal's Central Development Region
Author: Bhattarai, Keshav
Subject: Nepal, Forest, Remote Sensing, MSS, TM, ETM+, Village Development Committee, DEM
Abstract: The process of deforestation in the Central Development Region (CDR) of Nepal is diverse in space and time, with rapid deforestation still occurring in areas outside the national parks and wildlife reserves. This paper identifies the spatial driving forces (SDFs) of deforestation in CDR for 1975-2000 using satellite data of 1975 (MSS), 1990 (TM), and 2000 (ETM+) along with socio-demographic and socioeconomic variables. Radiometrically calibrated satellite images are individually classified into seven distinct classes and merged together to cover the entire CDR. Classification accuracies are also assessed. Areas of land use and cover within the areas of each Village Development Committees (VDCs) and municipalities are calculated from the classified images by overlaying vector files of 1,250 VDCs. A transition matrix is generated for 1975-1990 using classified images of 1975 and 1990 and then this product is used to further develop another transition matrix for 1990 - 2000 with the classified ETM+ 2000 images as the final stage. The VDC’s vector layer of land use and cover areas is overlaid on the transition matrices to calculate deforestation areas by VDCs for 1975-1990 and 1990-2000. A digital elevation model (DEM) compiled from 35 ASTER scenes taken on different dates is used to examine areas at different elevation levels: 30- 1,199 m, 1,200 – 2,399 m, 2,400- 4,999 m, and >5,000 m. Only the first three elevation levels are used in the analysis because area > 5,000 m is under permanent snow cover where human related forestry activities are almost negligible. Biophysical and socioeconomic information collected from various sources is then brought into a geographic information systems (GIS) platform for statistical analyses. Six linear regression models are estimated using SAS; in effect, two models for each elevation range representing 1975-1990 and 1990- 2000 periods of change to identify SDF influences on deforestation. These regression analyses reveal that deforestation in the CDR is related to multiple factors, such as farming population, genders of various ages, migration, elevation, road, distance from road to forest, meandering and erosion of river, and most importantly the conversion of forestland into farmland.
Date: 2008-10-09
Series: Himalayan Research Papers Archive
URI: http://hdl.handle.net/1928/6932


Files in this item

Files Size Format View
15495.pdf 1016.Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record

UNM Libraries

Search LoboVault


Browse

My Account