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• W4387129986 startingPage "e0292048" @default.
• W4387129986 abstract "The present study aimed to assess the population density, structure, and population change of nine wild prey species in the semi-arid landscape of Saurashtra, Gujarat, India. A total of eight sites, representing a gradient from highly protected woodlands and grasslands to unreserved grasslands, were selected for sampling. We employed the road transect methodology under a distance sampling framework to achieve our objectives. We evaluated the realized growth rate of the Gir ungulate population through linear regression analysis. Our findings revealed that deer species exhibited higher density and biomass in woodlands compared to grasslands and coastal forests. On the other hand, antelopes showed higher density and biomass in grasslands and coastal forests compared to woodlands. The density gradient of wild prey species was influenced by various factors, including habitat structure, social organization, grouping tendencies, and topography. Over the last four decades, the population of wild prey species in Gir showed minimal changes. Our study provides a comprehensive understanding of wild prey species’ density and biomass patterns at the landscape level. The inclusion of findings from ecologically significant and unique areas, such as coastal forests, further enhances the importance of this study. The implications of this study extend beyond the conservation of wild prey species alone; they also contribute to the conservation of the large carnivore guild in the Saurashtra landscape." @default.
• W4387129986 created "2023-09-29" @default.
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• W4387129986 date "2023-09-28" @default.
• W4387129986 modified "2023-10-17" @default.
• W4387129986 title "The semi-arid ecosystem of Asiatic Lion Landscape in Saurashtra, Gujarat: Population density, biomass and conservation of nine wild prey species" @default.
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• W4387129986 doi "https://doi.org/10.1371/journal.pone.0292048" @default.
• W4387129986 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37768920" @default.
• W4387129986 hasPublicationYear "2023" @default.
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