Geospatial modelling of biological richness in Sunderbans |
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Authors: | S Nandy S P S Kushwaha |
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Institution: | 1.Indian Institute of Remote Sensing (NRSC),Indian Space Research Organisation,Dehradun,India |
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Abstract: | The present study attempts to assess the biological richness in Sunderban Biosphere Reserve (SBR) using a three-pronged approach
i.e. satellite image (IRS 1D LISS-III) for vegetation/land use stratification, landscape analysis for disturbance regimes
assessment and the disturbance regimes together with the ecosystem uniqueness, species richness and importance value for biological
richness modelling. The study showed that four mangrove categories, viz., Avicennia, Phoenix, mixed mangroves and mangrove scrub, cover 23.21 per cent of the total geographical area of SBR. The largest area is occupied
by mixed mangroves (18.31%). The overall accuracy of the vegetation/land use map worked out to be 91.67 per cent. The disturbance
analysis revealed that the vegetation types were not much disturbed. Shannon-Weaver’s index of diversity was highest in case
of mixed mangrove. The results revealed that 75 per cent forest area has high biological richness. |
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