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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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Ziarat's Forests in Transition: A Remote Sensing Perspective on Fragmentation

Authors: Bhutto, Bakhtawar; Rao, Zahid Khalil;

Ziarat's Forests in Transition: A Remote Sensing Perspective on Fragmentation

Abstract

This study examines forest fragmentation dynamics in the Ziarat District of Balochistan, Pakistan, from 1994 to 2024 using multi-temporal Landsat imagery and advanced geospatial techniques. Support Vector Machine (SVM) classification was applied to generate accurate land-cover maps, followed by Morphological Spatial Pattern Analysis (MSPA) to characterize forest structure into core, edge, islet, and bridge classes. Results reveal a continuous decline in core forest areas accompanied by an increase in fragmented components, indicating reduced ecological connectivity over time. Fragmentation intensified notably after 2010, closely linked to agricultural expansion and infrastructural development. Although a slight increase in total forest area is observed in recent years, spatial integrity continues to deteriorate. Vegetation indices further suggest rising moisture stress, highlighting physiological degradation alongside spatial fragmentation. Despite limitations such as medium-resolution imagery and limited ground data, the findings underscore the urgent need for targeted, science-based conservation strategies to protect Ziarat’s globally significant juniper forests.

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Keywords

Forest Fragmentation, Juniper Forest, Ziarat District, MSPA, SVM Classification, Landsat Imagery.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green