Literature DB >> 33676208

Landscape-level habitat management plan through geometric reserve design for critically endangered Hangul (Cervus hanglu hanglu).

Tanoy Mukherjee1, Vandana Sharma2, Lalit Kumar Sharma3, Mukesh Thakur1, Bheem Dutt Joshi1, Amira Sharief1, Avantika Thapa1, Ritam Dutta1, Stanzin Dolker1, Basudev Tripathy1, Kailash Chandra1.   

Abstract

Hangul (Cervus hanglu hanglu), the only red deer subspecies surviving in the Indian subcontinent, is of top conservation priority with global importance. Unfortunately, it has lost much of its historical distribution range, and it is now confined to Dachigam landscape within the Kashmir valley of India. The Government of India initiated a recovery plan in 2008 to augment their numbers through ex-situ conservation programs. However, it was necessary to identify potential hangul habitats in Kashmir valley for adopting landscape-level conservation planning for the species. Based on geometric aspects of reserve design, we modeled hangul habitat using an ensemble approach to identify hangul habitats. The present model indicates that the conifer and broadleaf mixed forests were the most suitable habitats. Only 9% of the total study landscape was found suitable for the species. We identified corridors among the suitable habitat blocks, which may be vital for the species' long-term genetic viability. We suggest reorganizing the existing management of Dachigam National Park (NP) following the landscape level and habitat block-level management planning based on the core principles of geometric reserve design. We recommend that the identified patch (PID-6) in the southern region of the landscape to be converted into a Conservation Reserve or merged with the Overa-Aru Wildlife Sanctuary. This habitat patch PID-6 may be a stepping stone habitat and vital for maintaining the species landscape connectivity and metapopulation dynamics.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dachigam landscape; Ensemble model; Hangul; Landscape connectivity; Landscape structure; Reserve design

Year:  2021        PMID: 33676208     DOI: 10.1016/j.scitotenv.2021.146031

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Study on the Optimization of Territory Spatial "Urban-Agricultural-Ecological" Pattern Based on the Improvement of "Production-Living-Ecological" Function under Carbon Constraint.

Authors:  Ran Yu; Yan Qin; Yuting Xu; Xiaowei Chuai
Journal:  Int J Environ Res Public Health       Date:  2022-05-18       Impact factor: 4.614

  1 in total

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