Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology

In the present study, an attempt has been made to discover the impacts of various developmental activities on the Kaziranga-Karbi Anglong wildlife corridor of Assam, India, using geospatial technology; as well as to predict the future status of the wildlife corridor by using the Cellular Automata Ma...

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Main Authors: Sharma Bhavna, Sarma Kiranmay
Format: Article
Language:English
Published: Sciendo 2014-11-01
Series:Journal of Landscape Ecology
Subjects:
Online Access:https://doi.org/10.2478/jlecol-2014-0015
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spelling doaj-ccf179abfea64d12bf4f1b81d7252a5a2021-09-06T19:41:37ZengSciendoJournal of Landscape Ecology1805-41962014-11-0172455810.2478/jlecol-2014-0015jlecol-2014-0015Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial TechnologySharma Bhavna0Sarma Kiranmay1University School of Environment Management, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi 110078 kiranmay@ipu.ac.inUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi 110078 kiranmay@ipu.ac.inIn the present study, an attempt has been made to discover the impacts of various developmental activities on the Kaziranga-Karbi Anglong wildlife corridor of Assam, India, using geospatial technology; as well as to predict the future status of the wildlife corridor by using the Cellular Automata Markov Model. Due to various anthropogenic activities the condition of the natural corridor has deteriorated, and in recent years many wild animals have been killed by road traffic accidents; in particular, greater one-horned (Indian) rhinoceros (Rhinoceros unicornis) are killed indiscriminately by the poachers, having been deviated from their regular routes. Changes were evident during the two decades between 1990 and 2010, when a large number of dense forest areas were converted to open forest, combined with losses of areas of scrub and marshy land. The area under agriculture and plantation crop increased along with the grassland during the decades. It has been found that the forests in Kaziranga-Karbi Anglong corridor are fragmented, and the area within the corridor is shrinking. There is considerable increase in patchiness, proportion of edge, and a perforated reduction of core areas within the corridor. The predicted land use/cover map of Kaziranga-Karbi Anglong corridor shows expansion of agricultural land, as well as plantation areas. It is estimated that only 25.66 percent of the present dense forest and 20.72 percent of open forest will remain by 2030, while areas under agriculture and plantation will increase by 33.91 and 5.33 percent, respectively.https://doi.org/10.2478/jlecol-2014-0015wildlife corridorkaziranga-karbi anglongforest fragmentationgeospatial technology
collection DOAJ
language English
format Article
sources DOAJ
author Sharma Bhavna
Sarma Kiranmay
spellingShingle Sharma Bhavna
Sarma Kiranmay
Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
Journal of Landscape Ecology
wildlife corridor
kaziranga-karbi anglong
forest fragmentation
geospatial technology
author_facet Sharma Bhavna
Sarma Kiranmay
author_sort Sharma Bhavna
title Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
title_short Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
title_full Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
title_fullStr Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
title_full_unstemmed Status Identification and Prediction of Kaziranga-Karbi Anglong Wildlife Corridor of Assam, India, Using Geospatial Technology
title_sort status identification and prediction of kaziranga-karbi anglong wildlife corridor of assam, india, using geospatial technology
publisher Sciendo
series Journal of Landscape Ecology
issn 1805-4196
publishDate 2014-11-01
description In the present study, an attempt has been made to discover the impacts of various developmental activities on the Kaziranga-Karbi Anglong wildlife corridor of Assam, India, using geospatial technology; as well as to predict the future status of the wildlife corridor by using the Cellular Automata Markov Model. Due to various anthropogenic activities the condition of the natural corridor has deteriorated, and in recent years many wild animals have been killed by road traffic accidents; in particular, greater one-horned (Indian) rhinoceros (Rhinoceros unicornis) are killed indiscriminately by the poachers, having been deviated from their regular routes. Changes were evident during the two decades between 1990 and 2010, when a large number of dense forest areas were converted to open forest, combined with losses of areas of scrub and marshy land. The area under agriculture and plantation crop increased along with the grassland during the decades. It has been found that the forests in Kaziranga-Karbi Anglong corridor are fragmented, and the area within the corridor is shrinking. There is considerable increase in patchiness, proportion of edge, and a perforated reduction of core areas within the corridor. The predicted land use/cover map of Kaziranga-Karbi Anglong corridor shows expansion of agricultural land, as well as plantation areas. It is estimated that only 25.66 percent of the present dense forest and 20.72 percent of open forest will remain by 2030, while areas under agriculture and plantation will increase by 33.91 and 5.33 percent, respectively.
topic wildlife corridor
kaziranga-karbi anglong
forest fragmentation
geospatial technology
url https://doi.org/10.2478/jlecol-2014-0015
work_keys_str_mv AT sharmabhavna statusidentificationandpredictionofkazirangakarbianglongwildlifecorridorofassamindiausinggeospatialtechnology
AT sarmakiranmay statusidentificationandpredictionofkazirangakarbianglongwildlifecorridorofassamindiausinggeospatialtechnology
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