A study on vegetation ecology in Pench Tiger Reserve, Madhya Pradesh with reference to gaur (Bos gaurus) using Remote Sensing and GIS techniques.

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2007

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Wildlife Institute of India, Dehradun

Abstract

A study on vegetation ecology with reference to Gaur (Bos gaurus) using remote sensing and Geographic Information System (GIS) in Pench Tiger Reserve (PTR) Madhya Pradesh was conducted from February 1996 to September 2000. The Tiger Reserve is located between 77° 55' W to 79° 35' E & 21° 08' S to 22° 00' N and lies in the southwestern region of the state of Madhya Pradesh. The Tiger Reserve comprises of the Sanctuary and the National Park of the same name, and buffer zone covering an area of 757.85 sq. km. The PTR offers a unique opportunity for research into the aspects of both the ecology and the management of gaur populations and their habitats. This is due to, both, the diverse pattern of habitat, as a result of rich floral composition and varied topology, and gaur populations that can readily be seen almost throughout the year. In Madhya Pradesh alone, the gaur population is found in 10 districts and they are geographically isolated from one another. The main objectives of the study were: 1)To study vegetation communities, composition, species distribution, abundance and richness in Pench Tiger Reserve, Madhya Pradesh. 2)To map vegetation types and quantify landscape characteristics in PTR, 3)To evaluate the available habitat and predict distribution areas of Gaur in PTR, Madhya Pradesh. model the habitat suitability and predict distribution of Gaur in Pench National Park based on Ecological niche factor analysis (ENFA) using Biomapper software Different variables (Aspect, Cover change, Drainage, Elevation, Food dentity, Ground cover, Slope, Vegetation type, Vegetation index ) were used in the model to predict the suitable habitat and distribution of Gaur

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Mammals, Vegetation ecology, Bos gaurus, Remote sensing, Geographic Information System, Pench Tiger Reserve, Habitat, Population estimation, Vegetation structure, Habitat suitability model

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