Int. J. Adv. Res. Sci. Technol. Volume 4, Issue 6, 2015, pp.427-434. www.ijarst.com Rajesh Kumar Prajapati. et al Page | 427 International Journal of Advanced Research in Science and Technology journal homepage: www.ijarst.com ISSN 2319 – 1783 (Print) ISSN 2320 – 1126 (Online) Habitat Suitability analysis for Chital (Axis axis) using Geo-spatial Technology of Panna National Park (M.P.) India. Rajesh Kumar Prajapati 1 *, Shashikant Triptathi 1 and Rahasya Mani Mishra 2 1 Department of Energy and Environment, Mahatma Gandhi Chitrakoot Gamodaya University, Chitrakoot- 485334, India. 2 School of Environmental Biology, A.P.S. University Rewa-486003, M.P., India. *Corresponding Author’s E-mail: prajapati.rajesh8@gmail.com, Phone +91-9755039331. A R T I C L E I N F O A B S T R A C T Article history: Received Accepted Available online 19 Sep. 2015 05 Oct. 2015 07 Oct. 2015 The habitat fragmentation issue is of particular relevance to developing countries where most of the biodiversity rich tropical ecosystems are located. The purpose of this study was to produce habitat suitability model for the Chital in Panna National Park India (North latitude 24°27′ and 24°46′ and East longitude 79°45′ & 80°9′). Habitats were evaluated using Multi criteria analysis and habitat suitability index with remote sensing and GIS. Satellite imageries of LISS-III (IRS-P6, LISS-III) of study area were digitally processed. To generate collateral data, topographic maps were analyzed in a GIS framework. Layers of different variables such as: Land use/Land cover, forest density, proximity to disturbances and water resources and a digital terrain model were created from satellite and toposgraphic sheets. In the study area landscape, there are an only Ken River is the perennial water sources, the surrounding of the river is more suitable habitat for chital. Human settlements areas are usually avoided by wild animals. Species like the chital, which prefer edge habitats, generally avoid core areas of park. © 2015 International Journal of Advanced Research in Science and Technology (IJARST). All rights reserved. Keywords: Remote Sensing, GIS, Habitat Suitability, LISS and IRS P6. PAPER-QR CODE Citation: Rajesh Kumar Prajapati. et al. Habitat Suitability analysis for Chital (Axis axis) using Geo-spatial Technology of Panna National Park (M.P.) India. Int. J. Adv. Res. Sci. Technol. Volume 4, Issue 6, 2015, pp.427-434. Introduction: Each species has some requirements based on its behavioral, biological, genetics and evolutionary history to choose a habitat for survival and each habitat must provide these species requirements. By identifying species requirements within habitats we can define suitable areas for species survival. This issue is critical, especially in tropical areas with high species richness that the habitat is losing the suitability due to human pressure. The main purpose of habitat Suitability (HS) models was to define the relationship between biotic and abiotic factors and the species spatial distribution [Guisan et al., 2000]. The most important thing to build the habitat suitability model was to identify habitat preferences of the species from an eco-geographical point of view. HS models can then help with describing species-environment relationships and can help to derive a map of habitat quality. The important key for any habitat suitability model was the nature of the species data i.e., presence data, presence and absence data and abundance data [Eastman, 2006]. Habitat is a sum total of environmental condition of a specific place occupied by wildlife species or a population of such species. All species have specific habitat requirements, which can be described by habitat factors. These factors were connected to the critical characteristics of the habitat, such as vegetation, soil, spatial structure of landscape elements and climatic condition of the area. Urbanization, industrialization, infrastructure development projects, agriculture, grazing, deforestation, wildlife trade and poaching continue to create tremendous stress on pristine natural habitat and wildlife. Remote sensing and GIS (RS and GIS) can be used as tool for getting information about the habitat preference of the wildlife species. RS and GIS also help in monitoring areas of land for their suitability to endangered species, through integration of