2022
DOI: 10.3390/su142416679
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Environmental Risk Assessment in the Hindu Kush Himalayan Mountains of Northern Pakistan: Palas Valley, Kohistan

Abstract: Forest cover in the Hindu Kush Himalayan (HKH) mountains of northern Pakistan has changed dramatically due to community dynamics such as population growth, household dynamics, and intensive economic activity for people’s livelihoods. Demographic development is one of the major factors influencing forest cover change in a previously sparsely populated environment. An abrupt upsurge in population exerts adverse effects on the local natural resources, specifically forests. The present research shows an increase i… Show more

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Cited by 3 publications
(2 citation statements)
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“…The sources of trace metal pollution in the soil samples were influenced by many factors, including natural and anthropogenic ones, as also reported by Hussain et al [18] and Chifflet et al [58]. Natural factors can be, for example, the weathering processes of rocks and minerals [59][60][61], while in many cases, the anthropogenic factors can include several activities, such as urban, agricultural, industrial, mining, or transportation [2,9,11,[61][62][63][64][65].…”
Section: Assessment Of Potential Ecological Risk Index For Soilsupporting
confidence: 54%
“…The sources of trace metal pollution in the soil samples were influenced by many factors, including natural and anthropogenic ones, as also reported by Hussain et al [18] and Chifflet et al [58]. Natural factors can be, for example, the weathering processes of rocks and minerals [59][60][61], while in many cases, the anthropogenic factors can include several activities, such as urban, agricultural, industrial, mining, or transportation [2,9,11,[61][62][63][64][65].…”
Section: Assessment Of Potential Ecological Risk Index For Soilsupporting
confidence: 54%
“…Data were collected through both primary and secondary sources, which is a wellestablished method utilized by a large number of studies [62,63]. The collected data were analyzed through statistical analysis and Geospatial techniques (Figure 2).…”
Section: Data Collectionmentioning
confidence: 99%