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Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India
Sonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for tourists and wildlife lovers. However, these protected areas are reportedly fa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172937/ https://www.ncbi.nlm.nih.gov/pubmed/34078933 http://dx.doi.org/10.1038/s41598-021-90595-8 |
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author | Mahato, Ranjit Nimasow, Gibji Nimasow, Oyi Dai Bushi, Dhoni |
author_facet | Mahato, Ranjit Nimasow, Gibji Nimasow, Oyi Dai Bushi, Dhoni |
author_sort | Mahato, Ranjit |
collection | PubMed |
description | Sonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for tourists and wildlife lovers. However, these protected areas are reportedly facing the problem of encroachment and large-scale deforestation. Therefore, this study attempts to estimate the forest cover change in the area through integrating the remotely sensed data of 1990, 2000, 2010, and 2020 with the Geographic Information System. The Maximum Likelihood algorithm-based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. The results reveal a forest cover loss of 7.47% from 1990 to 2000 and 7.11% from 2000 to 2010. However, there was a slight gain of 2.34% in forest cover from 2010 to 2020. The net change of forest to non-forest was 195.17 km(2) in the last forty years. The forest transition map shows a declining trend of forest remained forest till 2010 and a slight increase after that. There was a considerable decline in the forest to non-forest (11.94% to 3.50%) from 2000–2010 to 2010–2020. Further, a perceptible gain was also observed in the non-forest to the forest during the last four decades. The overlay analysis of forest cover maps show an area of 460.76 km(2) (28.89%) as forest (unchanged), 764.21 km(2) (47.91%) as non-forest (unchanged), 282.67 km(2) (17.72%) as deforestation and 87.50 km(2) (5.48%) as afforestation. The study found hotspots of deforestation in the closest areas of National Park, Wildlife Sanctuary, and Reserved Forests due to encroachments for human habitation, agriculture, and timber/fuelwood extractions. Therefore, the study suggests an early declaration of these protected areas as Eco-Sensitive Zone to control the increasing trends of deforestation. |
format | Online Article Text |
id | pubmed-8172937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81729372021-06-04 Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India Mahato, Ranjit Nimasow, Gibji Nimasow, Oyi Dai Bushi, Dhoni Sci Rep Article Sonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for tourists and wildlife lovers. However, these protected areas are reportedly facing the problem of encroachment and large-scale deforestation. Therefore, this study attempts to estimate the forest cover change in the area through integrating the remotely sensed data of 1990, 2000, 2010, and 2020 with the Geographic Information System. The Maximum Likelihood algorithm-based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. The results reveal a forest cover loss of 7.47% from 1990 to 2000 and 7.11% from 2000 to 2010. However, there was a slight gain of 2.34% in forest cover from 2010 to 2020. The net change of forest to non-forest was 195.17 km(2) in the last forty years. The forest transition map shows a declining trend of forest remained forest till 2010 and a slight increase after that. There was a considerable decline in the forest to non-forest (11.94% to 3.50%) from 2000–2010 to 2010–2020. Further, a perceptible gain was also observed in the non-forest to the forest during the last four decades. The overlay analysis of forest cover maps show an area of 460.76 km(2) (28.89%) as forest (unchanged), 764.21 km(2) (47.91%) as non-forest (unchanged), 282.67 km(2) (17.72%) as deforestation and 87.50 km(2) (5.48%) as afforestation. The study found hotspots of deforestation in the closest areas of National Park, Wildlife Sanctuary, and Reserved Forests due to encroachments for human habitation, agriculture, and timber/fuelwood extractions. Therefore, the study suggests an early declaration of these protected areas as Eco-Sensitive Zone to control the increasing trends of deforestation. Nature Publishing Group UK 2021-06-02 /pmc/articles/PMC8172937/ /pubmed/34078933 http://dx.doi.org/10.1038/s41598-021-90595-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mahato, Ranjit Nimasow, Gibji Nimasow, Oyi Dai Bushi, Dhoni Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title | Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title_full | Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title_fullStr | Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title_full_unstemmed | Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title_short | Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India |
title_sort | assessing the tropical forest cover change in northern parts of sonitpur and udalguri district of assam, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172937/ https://www.ncbi.nlm.nih.gov/pubmed/34078933 http://dx.doi.org/10.1038/s41598-021-90595-8 |
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