Conservation of Coastal Wetlands: An Appraisal of the Policy and Legal Framework in South Asian Nations

Ramachandran, Ramesh; Krishnan, P.; Lakshmi, Ahana; Abhilash, K. R.; Kingsley, Paul W.

doi:10.1007/978-81-322-3715-0_27

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…However, in recent years, because of climate variability and climate extremes, management plans are progressively proactive and considerate of longer duration into the future, while devising appropriate adaptation responses for coping. This is evident from the shoreline management plans of the UK, Netherlands, etc., which look at the timescale of 100 years [29][30][31].…”

Section: Framework For Development Of Integrated Coastal Zone Managementmentioning

confidence: 99%

“…Coastal erosion has three potential adaptation strategies, i.e., protect, accommodate, and retreat as per the IPCC Coastal management strategy, and it very well fits into the Integrated Coastal Zone Management Plan (ICZMP) of the Government of Kerala [28][29][30][31]. The study revealed that areas in these Kavvayi wetlands are vulnerable zones and, hence, priority needs to be given to those areas, as these have a large number of economic activities and are related to their livelihoods too.…”

Section: Framework For Development Of Integrated Coastal Zone Managementmentioning

confidence: 99%

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Long-Term Shoreline and Islands Change Detection with Digital Shoreline Analysis Using RS Data and GIS

Gopinath

Thodi²,

Surendran³

et al. 2023

Water

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This study concerned the assessment of changes in the coastline of Kavvayi beach and its nine islands in a tropical coastal wetland using remote sensing (RS) data and geographic information systems (GIS), as this sedimentary environment is still poorly characterized. The satellite data used were from LANDSAT images (30 m spatial resolution) (MSS—volume 5, TM, ETM, and ETM+ volume 6) for the period of the last 25 years (1990 to 2014). Band 5 in Landsat (MSS) and band 6 (ETM 24- OLI) were used because they clearly distinguish the boundaries between land and water. The Digital Shoreline Analysis System (DSAS) was used to understand shoreline changes such as erosion and accretion processes by calculating the net shift in shoreline (NSM), end point rate (EPR), and linear regression rate (LRR) for the period of 25 years. The results showed significant changes over the studied period, leading to erosion and accretion. Coastal processes had an impact in the period from 2005 to 2014, leading to the development of a new island in the northern part of the wetland due to the construction of a new breakwater. In addition, the causes of the shoreline changes on the islands, including anomalies and the formation of new structures in the wetland, were investigated and discussed. These analyses confirmed that the islands studied were subjected to marine transgression and vice versa. Among this, Kavvayi was subject to marine transgression over the period, and Achanthurti Island showed erosion to a lesser extent. This can be considered as a feature of wetlands in combating sea level rise at local levels and possible reasons for the changes along with the coastal zone management plans were also discussed.

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Section: Framework For Development Of Integrated Coastal Zone Managementmentioning

confidence: 99%

Section: Framework For Development Of Integrated Coastal Zone Managementmentioning

confidence: 99%

Long-Term Shoreline and Islands Change Detection with Digital Shoreline Analysis Using RS Data and GIS

Gopinath

Thodi²,

Surendran³

et al. 2023

Water

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“…tuna), mangroves and the organisms that reside within them are also connected by sea and could fall under this remit. Due to these connections, UNCLOS can be used as a framework for regional cooperation on conservation (Ramesh et al 2017). Articles that consider the impacts of pollution are particularly relevant, such as oil pollution, which can cause considerable damage within mangroves (Duke 2016), and other pollutants, whether from sea or land.…”

Section: Anticipated Impacts On Mangrovesmentioning

confidence: 99%

SDG 14: Life below Water – Impacts on Mangroves

Friess¹,

Aung²,

Huxham³

et al. 2019

Sustainable Development Goals: Their Impacts on Forests and People

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SDG14 focuses on fisheries, though coastal forests such as mangroves are indirectly linked as they support fisheries and associated human coastal populations.• SDG 14 benefits coastal forests, but negative impacts are also envisaged.These include (but are not limited to) encouraging new deforestation drivers, reducing environmental justice and encouraging governance recentralisation. SDG 14 may also encourage the creation of very large marine protected areas (often in the open ocean) that do not cover coastal forests or cannot be adequately enforced without concomitant increases in funding.• Considering coastal forests more explicitly during the planning of SDG 14 targets may anticipate or ameliorate some of these negative impacts.• With the exception of Target 14.1, the below-water focus of most SDG 14 targets means that terrestrial-marine linkages (e.g. sediment, nutrients, pollution, financial flows) are not strongly acknowledged; it is in this transition zone where coastal forests are found.

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“…Effective implementation of policies and strategies for littoral zone management requires the application of suitable plans and strict adherence to regulations. A number of scholarly investigations, including those by Camilleri et al (2017), Khamis et al (2017), and Ramesh et al (2017), have underscored the importance of incorporating spatial data concerning ecologically significant regions, coastal habitat conditions, land use, and land cover in order to guarantee the effective implementation of these initiatives.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis and Predictive Modelling of North Circar Coastline: Unravelling the Future of Shoreline Dynamics

Susmitha,

Reddy

2024

Int. J. Res. Publ. Rev.

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The comprehensive research delves into the dynamic interactions between natural and human-induced factors in coastal regions, focusing on the vulnerable littoral area north of Andhra Pradesh, India. Utilizing remote sensing technology and Geographic Information Systems (GIS), the research analyses shoreline changes from 1988 to 2021, employing sophisticated methodologies such as Linear Regression Analysis (LRR) and Exponential Power Regression (EPR). The study identifies distinct erosion and accretion patterns, emphasizing the significant impact of physiographic features and anthropogenic influences on littoral dynamics.The findings reveal notable disparities in erosion and accretion rates between the northern and southern portions of the study area, attributed to topographical variations and lithological composition. The central regions exhibit pronounced rates of shoreline alteration due to the combined effects of fluvial and marine impacts. The research employs predictive models to project future shoreline positions for 2030 and 2040, providing valuable insights for adaptation plans and policy guidelines.This study underscores the critical importance of accurate coastal monitoring and analysis, demonstrating the efficacy of advanced technologies and statistical methodologies. The insights gained from this research have significant implications for coastal conservation and management strategies, offering fundamental knowledge for informed decision-making in vulnerable littoral regions worldwide.

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Conservation of Coastal Wetlands: An Appraisal of the Policy and Legal Framework in South Asian Nations

Cited by 4 publications

References 4 publications

Long-Term Shoreline and Islands Change Detection with Digital Shoreline Analysis Using RS Data and GIS

Long-Term Shoreline and Islands Change Detection with Digital Shoreline Analysis Using RS Data and GIS

SDG 14: Life below Water – Impacts on Mangroves

Statistical Analysis and Predictive Modelling of North Circar Coastline: Unravelling the Future of Shoreline Dynamics

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