Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India
Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India
This study aims to analyse the shoreline oscillations of three estuarine Islands in Sundarban delta and its impact on mangrove forests around the Islands. Six multi-temporal Landsat images spanning 42 years (1975–2017) have been used in the study. Band ratio was computed to discriminate the water line from the land, which was later digitized. Digital shoreline analysis system (DSAS) was employed for estimation and analysis of the shorelines changes by End point rate (EPR) model and Linear regression rate (LRR) model after laying transects offshore of the baseline. Sea level and topography of the islands have also been analyzed. To assess the mangrove health, time series Normalized Differential Vegetation Index (NDVI) analysis has been performed using the Mann Kendall Tau statistics and Sen's slope. Mangrove degradation maps were produced from the data and combined with evidences collected from field works. The results point to a very dynamic shoreline ensuing in erosion of mangrove forests while some areas do show encouraging trends due to sustained accretion especially in the southern and eastern parts. Overall erosion is higher than accretion in the Islands. Results show that NDVI has been decreasing along patches that are near to erosion hotspots irrespective of climatic trends. Thus it can be concluded that mangrove forests are under severe stress due to shoreline ingression and sea level rise and not climatic alterations. Going forward this work could provide significant information on the nature of shoreline changes and could assist in sustainable development for Sundarban biodiversity niche management.
DSAS, Mangroves, Mann-Kendall and Sen's slope, NDVI, Remote sensing, Sea level rise, Shoreline, Sustainable resource management, Time series analysis
Thakur, Sandeep
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Mondal, Ismail
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Bar, Somnath
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Nandi, Subhanil
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Ghosh, P. B.
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Das, P.
91be9c14-2e23-45f2-8678-c9b68b8da027
De, T. K.
1658d0d5-06c7-4282-aea9-b2dbab601a12
15 February 2021
Thakur, Sandeep
f6376e70-2c4e-446c-ac98-3c692d91ac60
Mondal, Ismail
cdc81c7a-5634-48b8-a4db-f43ab0321993
Bar, Somnath
1e199d14-4020-46ef-9dfa-733fe5fa6082
Nandi, Subhanil
a6a68a97-e13e-4dcc-9681-9dadd25baef0
Ghosh, P. B.
b86fbe01-3d3d-4a55-9d38-ee15ab4da0f2
Das, P.
91be9c14-2e23-45f2-8678-c9b68b8da027
De, T. K.
1658d0d5-06c7-4282-aea9-b2dbab601a12
Thakur, Sandeep, Mondal, Ismail, Bar, Somnath, Nandi, Subhanil, Ghosh, P. B., Das, P. and De, T. K.
(2021)
Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India.
Journal of Cleaner Production, 284, [124764].
(doi:10.1016/j.jclepro.2020.124764).
Abstract
This study aims to analyse the shoreline oscillations of three estuarine Islands in Sundarban delta and its impact on mangrove forests around the Islands. Six multi-temporal Landsat images spanning 42 years (1975–2017) have been used in the study. Band ratio was computed to discriminate the water line from the land, which was later digitized. Digital shoreline analysis system (DSAS) was employed for estimation and analysis of the shorelines changes by End point rate (EPR) model and Linear regression rate (LRR) model after laying transects offshore of the baseline. Sea level and topography of the islands have also been analyzed. To assess the mangrove health, time series Normalized Differential Vegetation Index (NDVI) analysis has been performed using the Mann Kendall Tau statistics and Sen's slope. Mangrove degradation maps were produced from the data and combined with evidences collected from field works. The results point to a very dynamic shoreline ensuing in erosion of mangrove forests while some areas do show encouraging trends due to sustained accretion especially in the southern and eastern parts. Overall erosion is higher than accretion in the Islands. Results show that NDVI has been decreasing along patches that are near to erosion hotspots irrespective of climatic trends. Thus it can be concluded that mangrove forests are under severe stress due to shoreline ingression and sea level rise and not climatic alterations. Going forward this work could provide significant information on the nature of shoreline changes and could assist in sustainable development for Sundarban biodiversity niche management.
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Published date: 15 February 2021
Additional Information:
Funding Information:
The first author is indebted to the Department of Science and Technology (DST); INSPIRE Division, Government of India; for the award of DST INSPIRE Fellowship (IF140969) to pursue this research. The authors are also grateful to Dr. Chirananda De for his inputs during the field works.
Funding Information:
The first author is indebted to the Department of Science and Technology (DST); INSPIRE Division, Government of India ; for the award of DST INSPIRE Fellowship ( IF140969 ) to pursue this research. The authors are also grateful to Dr. Chirananda De for his inputs during the field works.
Publisher Copyright:
© 2020 Elsevier Ltd
Keywords:
DSAS, Mangroves, Mann-Kendall and Sen's slope, NDVI, Remote sensing, Sea level rise, Shoreline, Sustainable resource management, Time series analysis
Identifiers
Local EPrints ID: 481109
URI: http://eprints.soton.ac.uk/id/eprint/481109
ISSN: 0959-6526
PURE UUID: f6e7586a-7226-4fa7-92b7-003127356411
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Date deposited: 15 Aug 2023 16:54
Last modified: 18 Mar 2024 04:12
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Contributors
Author:
Sandeep Thakur
Author:
Ismail Mondal
Author:
Somnath Bar
Author:
Subhanil Nandi
Author:
P. B. Ghosh
Author:
P. Das
Author:
T. K. De
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