Geospatial approach-based delineation of elephant habitat suitability zones and its consequence in Mayurjharna Elephant Reserve, India

Mrinmay Mandal () and Nilanjana Das Chatterjee ()
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Mrinmay Mandal: Vidyasagar University
Nilanjana Das Chatterjee: Vidyasagar University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 12, No 28, 17788-17809

Abstract: Abstract Diversified landscape functions have deep connection with habitat preference of elephant in several elephant habitats including Mayurjharna Elephant Reserve (MER). The main objective of the present study was to find out the elephant habitat suitability zone or areas considering geo-spatial components of landscape. For that reason, the study taken landuse factors, i.e. forest cover, forest core, forest fragmentation, forest edge, built-up area, agricultural land and road pattern, to fulfil the objective of the study. The selected landuse factors were separated from a classified landuse landcover (LULC) map of 2018 and intersected in a grid framework. From these grids, information factor density maps were prepared in ArcGIS 10.3 version software. Each factor has specific and different significance on habitat preference. After that, factors of significant level or percentage-wise ranks were calculated using analytical hierarchy process (AHP) on the basis of their ecological function. Chosen factors were categorized and placed according to their significant percentage in Weighted Overlay tool in ArcGIS 10.3 software for getting the final outcome. After the analysis, it was found that 87.18 sq.km areas out of total area in MER are very suitable for elephant habitat. Reasonably suitable areas are 306.74 sq.km and 228.27 sq.km areas, which are very less suitable for elephants in this reserve. 147.66 sq.km areas in MER are not suitable for elephant where basic habitat requirements are very insufficient. The well suitable areas are mostly covered with the high-density forest and large forest core areas in this reserve.

Keywords: Landscape; Habitat; Forest fragmentation; Elephant reserve; Analytical hierarchy process; Weighted overlay (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-021-01412-1

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