GIS Based Wildlife Habitat Assessment

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The work presented in this book is an attempt to quantify the spatial pattern of landscape using various spatial pattern metrics & to develop an approach for monitoring the impact of LULC dynamics on wildlife habitat quality in the Betla National park. Satellite data of the year 1990 and 2000 were used to prepare LULC maps though hybrid classification. Different landscape metrics such as diversity, contagion, fractal dimension, fragmentation and connectivity, calculated using ArcInfo software & computer program written in C,were used to characterize the change in landscape pattern. Two indices namely habitat quality index (HQI) & overall suitability index were developed for quantitative assessment of the habitat quality. The values of HQI were found to be 0.4051 and 0.3762 respectively for the year 1990 and 2000. It indicates a deterioration of about 7.14% in habitat quality due to the landscape dynamics during study period. Despite of intense landscape dynamics, only a marginal deterioration was observed in forest habitat quality due to proper management practices and restoration measurements taken by the forest officials to nullify the negative effects of increased LULC dynamics.

Autorentext
Dr. Arabinda Sharma has obtained his PhD in Soil & Water Conservation Engg from IIT Kharagpur, India. He has more than eight years of research and teaching experience. His research area includes Geomatics, Hydrology & Env. Engg. He has 28 research publications,and served as reviewer & member of editorial board of more than 10 reputed int. journals.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659202179
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B150mm x T7mm
    • Jahr 2012
    • EAN 9783659202179
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-20217-9
    • Titel GIS Based Wildlife Habitat Assessment
    • Autor Arabinda Sharma
    • Untertitel A Landscape Analysis Approach
    • Gewicht 195g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 120
    • Genre Biologie

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