Literature DB >> 25117494

Geospatial assessment and monitoring of historical forest cover changes (1920-2012) in Nilgiri Biosphere Reserve, Western Ghats, India.

K V Satish1, K R L Saranya, C Sudhakar Reddy, P Hari Krishna, C S Jha, P V V Prasada Rao.   

Abstract

Deforestation in the biosphere reserves, which are key Protected Areas has negative impacts on biodiversity, climate, carbon fluxes and livelihoods. Comprehensive study of deforestation in biosphere reserves is required to assess the impact of the management effectiveness. This article assesses the changes in forest cover in various zones and protected areas of Nilgiri Biosphere Reserve, the first declared biosphere reserve in India which forms part of Western Ghats-a global biodiversity hotspot. In this study, we have mapped the forests from earliest available topographical maps and multi-temporal satellite data spanning from 1920's to 2012 period. Mapping of spatial extent of forest cover, vegetation types and land cover was carried out using visual interpretation technique. A grid cell of 1 km × 1 km was generated for time series change analysis to understand the patterns in spatial distribution of forest cover (1920-1973-1989-1999-2006-2012). The total forest area of biosphere reserve was found to be 5,806.5 km(2) (93.8 % of total geographical area) in 1920. Overall loss of forest cover was estimated as 1,423.6 km(2) (24.5 % of the total forest) with reference to 1920. Among the six Protected Areas, annual deforestation rate of >0.5 was found in Wayanad wildlife sanctuary during 1920-1973. The deforestation in Nilgiri Biosphere Reserve is mainly attributed to conversion of forests to plantations and agriculture along with submergence due to construction of dams during 1920 to 1989. Grid wise analysis indicates that 851 grids have undergone large-scale negative changes of >75 ha of forest loss during 1920-1973 while, only 15 grids have shown >75 ha loss during 1973-1989. Annual net rate of deforestation for the period of 1920 to 1973 was calculated as 0.5 followed by 0.1 for 1973 to 1989. Our analysis shows that there was large-scale deforestation before the declaration of area as biosphere reserve in 1986; however, the deforestation has drastically reduced after the declaration due to high degree of protection, thus indicating the secure future of reserve in the long term under the current forest management practices. The present work will stand as the most up-to-date assessment on the forest cover of the Nilgiri Biosphere Reserve with immediate applications in monitoring and management of forest biodiversity.

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Year:  2014        PMID: 25117494     DOI: 10.1007/s10661-014-3991-3

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


  12 in total

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3.  Globalization and multi-spatial trends in the coverage of protected-area conservation (1980-2000).

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4.  Measuring the extent and effectiveness of protected areas as an indicator for meeting global biodiversity targets.

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Journal:  Science       Date:  1993-06-25       Impact factor: 47.728

8.  Monitoring conservation effectiveness in a global biodiversity hotspot: the contribution of land cover change assessment.

Authors:  Shijo Joseph; George Alan Blackburn; Biswadip Gharai; S Sudhakar; A P Thomas; M S R Murthy
Journal:  Environ Monit Assess       Date:  2008-09-27       Impact factor: 2.513

9.  Decadal time-scale monitoring of forest fires in Similipal Biosphere Reserve, India using remote sensing and GIS.

Authors:  K R L Saranya; C Sudhakar Reddy; P V V Prasada Rao; C S Jha
Journal:  Environ Monit Assess       Date:  2014-01-29       Impact factor: 2.513

10.  Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s.

Authors:  Ruth S DeFries; Richard A Houghton; Matthew C Hansen; Christopher B Field; David Skole; John Townshend
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-16       Impact factor: 11.205

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2.  Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory.

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