Abstract

Background. Tropical dry deciduous forests are the most vulnerable ecosystems for fragmentation. Satellite remote sensing data (of various resolutions and temporal availability) helps to study the forest fragmentation at local, regional and global scale. Spatial distribution of fragments at regional scale would provide insight into restoration and connectivity among the fragments, such that wildlife habitat can be protected. In the present study the forests of Mirzapur district, Uttar Pradesh were studied using LANDSAT- OLI (2017) satellite data and the forest fragmentation was quantified using the fragmentation metrics. The forest cover of the district (17.27% of the total geographic area) was delineated into four classes, very dense forest, dense forest, medium dense forest and open forest. Various fragments of size class were also defined in each forest cover. Fragments of size 600 ha were analysed. Presence of Sloth Bear and wildlife was noted in the fragmented forest based on pieces of evidence like scats, termite mounds, and dens. In this study, it was observed that the number of fragments in category <2 ha are more in each forest cover class. The suitable wildlife habitat was found to be very dense and dense forest. Thus the need of the hour is to protect these fragmented forests and connect these fragments to allow better movement of large mammals such that their population can thrive. The study also acts as a bench mark in using geospatial technology to define fragmentation. The focus should be on medium dense and open forests. Very dense and dense forests act as refugia which should be protected from further destruction.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.