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Evaluating the Impact of Wildlife Protection Laws in India

A Case Study of Tadoba Andhari Tiger Reserve, Chandrapur District

Bibliographic Data

ID22197585
AuthorsNiyaj Shabbir Sheikh (Gondwana University), Aejaz Shaikh (Gondwana University)
Year2024
Volume5
Issue2
Publication date2024-02-29
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v5.i2.2024.4715
OpenAlexW4408954945
LanguageEN
References cited9

The Tadoba Andhari Tiger Reserve and similar protected areas play a crucial role in maintaining India's rich biodiversity. Focusing specifically on TATR in Maharashtra, this investigation analyzes the effectiveness of wildlife conservation laws in India. It examines the impacts of pivotal legislation like the Wildlife Protection Act of 1972 on public involvement, poaching control and species protection. This research aims to address current policy shortcomings and barriers by scrutinizing outcomes, implementation techniques and legal frameworks. Secondary sources such as field observations, official reports and stakeholder interviews may provide insights into how successful preservation efforts have been. While protective frameworks have aided in better safeguarding wildlife, the study results indicate that human-animal conflicts, insufficient enforcement and policy gaps remain substantial issues. In concluding their examination, the authors put forth proposals for how wildlife preservation in India could be strengthened through employing technology, boosting community participation and stricter law implementation

Archaeology · Biology · Environmental protection · Fishery · Geography · Nature reserve · Tiger · Wildlife · Wildlife conservation · Conservation, Biodiversity, and Resource Management · Mathematics · Rangeland Management and Livestock Ecology · Wildlife Ecology and Conservation · Ecology

  • Applied Logistic Regression

    David W Hosmer, Stanley Lemeshow•Applied logistic regression•2000

Highly citedNo
Open DOIOpen Access
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