Literature DB >> 24338098

An alternative approach for delineating eco-sensitive zones around a wildlife sanctuary applying geospatial techniques.

Shovik Deb1, Akram Ahmed, Debajit Datta.   

Abstract

The dynamics, degradation, and conservation of forest ecosystems are matters of prime concerns worldwide at the present. Proper planning and management of a forest area are essentially needed to protect it from the grasp of burgeoning pressure of urban-industrial sprawl. Establishment of eco-sensitive zones (ESZs), which act as buffer areas around the core forests, is one of the key approaches towards achieving this goal. This paper deals with the applicability of geospatial techniques to identify the ESZ around an Indian wildlife sanctuary following the different rules and acts prescribed by the Government of India. Gumti Wildlife Sanctuary, located in the northeastern state of Tripura in India, has been selected here as a case study. Collected pieces of information on the distribution of biodiversity and human population in the area were also used to make the approach more holistic. As inferred from this study, remote sensing and geographical information systems were found to be easily implementable and time as well as cost-effective tools for this purpose with a distinct advantage of spatial as well as temporal accuracy in identifying the existing land use and land cover patterns in pilot assessments. However, the results indicated that only appropriate hybridization of field-based information on the biodiversity and ecological aspects of the forest as well as patterns of human interferences with the remote sensing and GIS-based data could make this approach more relevant in actual implementations.

Entities:  

Mesh:

Year:  2013        PMID: 24338098     DOI: 10.1007/s10661-013-3567-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

1.  Biodiversity hotspots for conservation priorities.

Authors:  N Myers; R A Mittermeier; C G Mittermeier; G A da Fonseca; J Kent
Journal:  Nature       Date:  2000-02-24       Impact factor: 49.962

2.  Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling.

Authors:  Qihao Weng
Journal:  J Environ Manage       Date:  2002-03       Impact factor: 6.789

3.  A socioeconomic and natural vulnerability index for oil spills in an Amazonian harbor: a case study using GIS and remote sensing.

Authors:  Milena Marília Nogueira de Andrade; Claudio Fabian Szlafsztein; Pedro Walfir M Souza-Filho; Adrilayne Dos Reis Araújo; Monique Kelly Tavares Gomes
Journal:  J Environ Manage       Date:  2010-06-02       Impact factor: 6.789

4.  Mapping land-cover and mangrove structures with remote sensing techniques: a contribution to a synoptic GIS in support of coastal management in North Brazil.

Authors:  Gesche Krause; Michael Bock; Stefan Weiers; Gerald Braun
Journal:  Environ Manage       Date:  2004-07-30       Impact factor: 3.266

5.  Using NDVI to assess vegetative land cover change in central Puget Sound.

Authors:  Dana F Morawitz; Tina M Blewett; Alex Cohen; Marina Alberti
Journal:  Environ Monit Assess       Date:  2006-03-24       Impact factor: 2.513

6.  Assessing forest canopy closure in a geospatial medium to address management concerns for tropical islands--Southeast Asia.

Authors:  P Rama Chandra Prasad; Nidhi Nagabhatla; C S Reddy; Stutee Gupta; K S Rajan; S H Raza; C B S Dutt
Journal:  Environ Monit Assess       Date:  2010-01       Impact factor: 2.513

7.  A note on a review of the taxonomic status of Phayre's langur (Trachypithecus phayrei) in Tripura, north-east India.

Authors:  A K Gupta
Journal:  Folia Primatol (Basel)       Date:  1998       Impact factor: 1.246

  7 in total
  2 in total

1.  An alternative approach for estimating above ground biomass using Resourcesat-2 satellite data and artificial neural network in Bundelkhand region of India.

Authors:  Dibyendu Deb; J P Singh; Shovik Deb; Debajit Datta; Arunava Ghosh; R S Chaurasia
Journal:  Environ Monit Assess       Date:  2017-10-20       Impact factor: 2.513

2.  Fine-scale landscape genetics unveiling contemporary asymmetric movement of red panda (Ailurus fulgens) in Kangchenjunga landscape, India.

Authors:  Supriyo Dalui; Hiren Khatri; Sujeet Kumar Singh; Shambadeb Basu; Avijit Ghosh; Tanoy Mukherjee; Lalit Kumar Sharma; Randeep Singh; Kailash Chandra; Mukesh Thakur
Journal:  Sci Rep       Date:  2020-09-22       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.