Application of Geoinformatics for Landscape Assessment and Conserving Forest Biodiversity in Northeast India
Application of Geoinformatics for Landscape Assessment and Conserving Forest Biodiversity in Northeast India Ashish Kumar1*, Bruce G. Marcot2, GautamTalukdar3 and P.S. Roy4 1CS Division, Ministry of Environment and Forests, Government of India, New Delhi - 110 003, India 2USDA Forest Service, Pacific Northwest Research Station, 620 S.W. Main Street, Portland, OR 97205, U.S.A. 3Wildlife Institute of India, Chandrabani, Dehradun - 248001, India. 4Indian Institute of Remote Sensing, Kalidas Road, Dehradun 248001, India. Abstract Herein, we summarize our work,within forest ecosystems of Garo Hills in northeast India, on mapping vegetation and land cover conditions, delineating wildlife habitat corridors among protected areas, evaluating forest conservation values of influence zones bordering protected areas, analyzing dispersion patterns of native forests, and determining potential effects of shifting-cultivation agriculture and anthropogenic stressors on an umbrella species (Asian elephant) as an indicator of forest biodiversity. This work demonstrates our use of multiple geoinformatic methods to help advise on conservation of native forests, wildlife, and biodiversity at the landscape scale. We also suggest some recent advances in geoinformatic techniques and models that could be further applied to our study area and beyond. Key words: Geoinformatics, Spatial Statistics, Forest Management, Biodiversity Conservation, Garo Hills, Meghalaya, Northeast India, Shifting Cultivation. 1. Introduction attributes for developing strategies to conserve biodiversity of native, tropical forests to help ensure sustainable use of Forest biodiversity -- the variety of life and its processes their goods and services. We highlight our salient findings within forest ecosystems -- provides a wide array of goods and discuss our methods, which entail use of remote sensing and services including timber and non-timber forest (RS) data and geographic information systems (GIS) for resources, amenity values, genetic resources, and mitigation landscape assessments.
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