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Certificate - Etheses - Saurashtra University

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and lopped trees, stand height, canopy cover, nearest water source, cattle dung and<br />

distance from the habitation and water etc. was recorded from within these sample<br />

plots as per the formats (Appendix 4). The data of each sampling plot was pooled as<br />

per habitat type for analysis. Bear sighting on both sides of transects and habitat types<br />

of bear locations were recorded.<br />

5.2.2 Availability of food plants<br />

From the vegetation data of different sample plots, assessment of food plants and their<br />

abundance in each habitat type was calculated. The food plants were counted within<br />

circular plot of 10 m radius and shrub species were counted within plot of 5 m radius<br />

for their density estimation. Certain species with 30 cm GBH were considered as<br />

tree and other species with 30 cm GBH were considered as shrub. Identification of<br />

food plants of bear diet was ascertained on the basis of analysis of scats, collected<br />

from the study area.<br />

To assess the habitat use by brown bear in Kugti wildlife sanctuary, availability and<br />

utilization approach of Neu et al. (1974) was adopted here and analysis was done in<br />

the ‘PREFER’ software package developed at the Wildlife Institute of India. During<br />

this exercise, following hypothesis was tested using Chi square test: bear utilized each<br />

habitat category in exact proportion to its occurrence within the study area. To know<br />

the difference between the habitat variables in the plots where bear signs were present<br />

or absent, Kruskal-Wallis non-parametric test was used (Zar, 1984). Multi-<br />

dimensional scaling, regression analysis, and non-parametric analysis were performed<br />

in SPSS software (Norussis, 1994).<br />

80

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