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Qamar Qureshi

Researcher at Wildlife Institute of India

Publications -  133
Citations -  2681

Qamar Qureshi is an academic researcher from Wildlife Institute of India. The author has contributed to research in topics: Population & Tiger. The author has an hindex of 23, co-authored 121 publications receiving 2067 citations.

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Status of tigers, co-predators, and prey in India

TL;DR: In this paper, the authors evaluated the current status of tigers, co-predators and their prey in India, and the outcome of a country-wide effort to scientifically determine the occupancy, population limits, habitat condition and connectivity, so as to guide conservation planning for ensuring the survival of free ranging tigers.
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Spatio-temporal partitioning among large carnivores in relation to major prey species in Western Ghats

TL;DR: It is concluded that resource partitioning in large carnivores by activity and spatial use of their principal prey governs spatio-temporal separation inLarge carnivores.
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Prioritizing tiger conservation through landscape genetics and habitat linkages.

TL;DR: The results of this study highlight that many corridors may still be functional as there is evidence of contemporary migration and conservation efforts should provide legal status to corridors, use smart green infrastructure to mitigate development impacts, and restore habitats where connectivity has been lost.
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Evaluating capture–recapture population and density estimation of tigers in a population with known parameters

TL;DR: In this article, the authors evaluate population-density estimators for tigers Panthera tigris in Kanha Tiger Reserve, India, using camera traps in conjunction with telemetry (n=6) in a known minimum population of 14 tigers.
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Density-dependent home-range size revealed by spatially explicit capture–recapture

TL;DR: In this paper, the size of animal home ranges often varies inversely with population density among populations of a species, which has implications for population monitoring using spatially explicit capture-recapture (SECR) models, in which both the scale of home-range movements σ and population density D usually appear as parameters and both may vary among populations.