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Forest cover dynamics in Palas Valley Kohistan, Hindu Kush-Himalayan Mountains, Pakistan

Forest cover dynamics in Palas Valley Kohistan, Hindu Kush-Himalayan Mountains, Pakistan

作     者:Noor ul HAQ Fazlur RAHMAN Iffat TABASSUM MEHRAN Noor ul HAQ;Fazlur RAHMAN;Iffat TABASSUM;MEHRAN

作者机构:Department of GeographyUniversity of PeshawarPeshawar 25120Pakistan Department of Urban and Regional PlanningUniversity of PeshawarPeshawar 25120Pakistan 

出 版 物:《Journal of Mountain Science》 (山地科学学报(英文))

年 卷 期:2021年第18卷第2期

页      面:416-426页

核心收录:

学科分类:09[农学] 0903[农学-农业资源与环境] 

基  金:part of the research project within the framework of National Research Program for Universities(NRPU),Project No.20.2396/NRPU/R&D/HEC 2014/163,generously funded by the Higher Education Commission(HEC)of Pakistan HEC for financial support 

主  题:Forest cover changes Population growth Road networks Deforestation Palas Valley Pakistan 

摘      要:Forest cover change in the mountainous region is driven by a variety of anthropogenic and natural *** Hindu Kush-Himalayan Mountains has experienced a considerable vegetation cover change due to intensive human activities,such as population growth,proximate causes,accessibility,unstable political situations,government policy failure and *** present study seeks to find out the impact of population growth and road network expansion on forest cover of Palas valley based on remotely sensed data and employing geospatial *** in forest cover were determined by classifying time-series satellite images of Landsat and Sentinel 2 *** images of October 1980,2000,2010 and 2017 were classified into six land cover classes and then the impact of population growth and accessibility on forest cover was ***,forest cover and land-use change detection map was prepared using classified images of 1980 and *** data were collected mainly from field visits(ground verification),census reports,Communication and Works Department,*** imageries were obtained from the United States Geological Survey’s websites and classified in ERDAS imagine 2014 and ESRI ArcGIS 10.2.1 using supervised classification-maximum likelihood *** of this study revealed that a substantial reduction in forest cover has taken place mainly in the proximity of human *** the average,during the study period,annually more than 460 hectares of forest area has been converted into other uses.

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