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Geospatial modelling approach for identifying disturbance regimes and biodiversity rich areas in North Western Himalayas, India

Geospatial modelling approach for identifying disturbance regimes and biodiversity rich areas in... The present study is a comprehensive effort for making spatially explicit vegetation type information, one of the basic inputs for species and habitat conservation, readily available to the decision makers, resource managers and nature conservationists. The present study was carried out to understand the vegetation composition and structure in Doda area of Western Himalayas, India. During the study, vegetation types were mapped using on-screen image interpretation technique of multispectral high resolution satellite data. A total of ten types of vegetation were delineated from the satellite data. Phytosociological data was collected for the forest, pasture and scrub classes using nested-quadrat approach to characterize the vegetation. A total of ten phytosociological parameters were analyzed. Pinaceae, Rosaceae and Asteraceae were the dominant plant families with most of the identified plant species having a very high medicinal value. Other important component of the study involved landscape modelling, using the Spatial Landscape Analysis Model for identifying disturbance regimes and biodiversity rich landscapes in the area. The model results indicate that most of the area contains a very rich biodiversity repository with only a few areas showing signs of disturbance where terrain is either complex or where the anthropogenic pressures on forest resources are apparent. The forest and nature conservation managers could use the conservation measures suggested on the basis of these research findings for developing biodiversity conservation strategies in the region. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biodiversity and Conservation Springer Journals

Geospatial modelling approach for identifying disturbance regimes and biodiversity rich areas in North Western Himalayas, India

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References (77)

Publisher
Springer Journals
Copyright
Copyright © 2013 by Springer Science+Business Media Dordrecht
Subject
Life Sciences; Evolutionary Biology; Plant Sciences; Tree Biology
ISSN
0960-3115
eISSN
1572-9710
DOI
10.1007/s10531-013-0538-9
Publisher site
See Article on Publisher Site

Abstract

The present study is a comprehensive effort for making spatially explicit vegetation type information, one of the basic inputs for species and habitat conservation, readily available to the decision makers, resource managers and nature conservationists. The present study was carried out to understand the vegetation composition and structure in Doda area of Western Himalayas, India. During the study, vegetation types were mapped using on-screen image interpretation technique of multispectral high resolution satellite data. A total of ten types of vegetation were delineated from the satellite data. Phytosociological data was collected for the forest, pasture and scrub classes using nested-quadrat approach to characterize the vegetation. A total of ten phytosociological parameters were analyzed. Pinaceae, Rosaceae and Asteraceae were the dominant plant families with most of the identified plant species having a very high medicinal value. Other important component of the study involved landscape modelling, using the Spatial Landscape Analysis Model for identifying disturbance regimes and biodiversity rich landscapes in the area. The model results indicate that most of the area contains a very rich biodiversity repository with only a few areas showing signs of disturbance where terrain is either complex or where the anthropogenic pressures on forest resources are apparent. The forest and nature conservation managers could use the conservation measures suggested on the basis of these research findings for developing biodiversity conservation strategies in the region.

Journal

Biodiversity and ConservationSpringer Journals

Published: Jul 31, 2013

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