scholarly journals Dynamics of the Sundarbans Mangroves in Bangladesh Under Climate Change

Author(s):  
Anirban Mukhopadhyay ◽  
Andres Payo ◽  
Abhra Chanda ◽  
Tuhin Ghosh ◽  
Shahad Mahabub Chowdhury ◽  
...  
Author(s):  
Nicola Pilia

In this essay, I will analyse the crucial issues of dwelling and dispossession concerning refugees in the novel The Hungry Tide by Amitav Ghosh. Political and environmental displacement is addressed within the framework of ‘slow violence’ as proposed by the landmark work of Rob Nixon, Slow Violence and the Environmentalism of the Poor (2011). With the intention to define the Morichjhãpi refugees as a foreshadowing of the climate migrations involving the lives of the subalterns in South Asia, as argued by Brandon Jones (2018), the essay provides a historical background of the Morichjhãpi Massacre and studies the forced eviction narrated in the novel through the pages of Nirmal’s diary. Together with Kusum, the Marxist professor experiences the tragedy of the subalterns in the ever-changing ecosystem of the Sundarbans, bridging the gap between environmental and postcolonial categories while providing fruitful insights within the notions of human history and ecological deep time.


2021 ◽  
pp. 156-188
Author(s):  
Anindya Basu ◽  
Gouranga Nandy ◽  
Nabendu Sekhar Kar

2019 ◽  
Vol 11 (23) ◽  
pp. 2833 ◽  
Author(s):  
Katie Awty-Carroll ◽  
Pete Bunting ◽  
Andy Hardy ◽  
Gemma Bell

Mangrove forests play a global role in providing ecosystem goods and services in addition to acting as carbon sinks, and are particularly vulnerable to climate change effects such as rising sea levels and increased salinity. For this reason, accurate long-term monitoring of mangrove ecosystems is vital. However, these ecosystems are extremely dynamic and data frequency is often reduced by cloud cover. The Continuous Change Detection and Classification (CCDC) method has the potential to overcome this by utilising every available observation on a per-pixel basis to build stable season-trend models of the underlying phenology. These models can then be used for land cover classification and to determine greening and browning trends. To demonstrate the utility of this approach, CCDC was applied to a 30-year time series of Landsat data covering an area of mangrove forest known as the Sundarbans. Spanning the delta formed by the confluence of the Ganges, Brahmaputra and Meghna river systems, the Sundarbans is the largest contiguous mangrove forest in the world. CCDC achieved an overall classification accuracy of 94.5% with a 99% confidence of being between 94.2% and 94.8%. Results showed that while mangrove extent in the Sundarbans has remained stable, around 25% of the area experienced an overall negative trend, probably due to the effect of die-back on Heritiera fomes. In addition, dates and magnitudes of change derived from CCDC were used to investigate damage and recovery from a major cyclone; 11% of the Sundarbans was found to have been affected by Cyclone Sidr in 2007, 47.6% of which had not recovered by mid-2018. The results indicate that while the Sundarbans forest is resilient to cyclone events, the long-term degrading effects of climate change could reduce this resilience to critical levels. The proposed methodology, while computationally expensive, also offers means by which the full Landsat archive can be analyzed and interpreted and should be considered for global application to mangrove monitoring.


2021 ◽  
Author(s):  
Malay Pramanik ◽  
Sylvia Szabo ◽  
Indrajit Pal ◽  
Parmeshwar Udmale

<p><strong>Abstract:</strong></p><p>Climate change is one of the most pressing challenges of the 21st century and is likely to increase migration of the marginal communities from the coastal areas throughout the world. It is projected that 200 million people worldwide will be climate refugees by 2050. Owing to high exposure and poor adaptive capacity, low-lying coastal areas and islands in developing countries are the most vulnerable to the impacts of climate change. Therefore, it is imperative to understand how climate change is affecting the livelihoods, in turn, driving the migration in these regions.</p><p>The present study focuses on the Sundarbans region located along the coastal belt of West Bengal (India) as a part of Ganga-Brahmaputra mega delta. It is also a home of 4.7 million poor people, who earn below US$10 per month. The region is an exceedingly flat, low-lying, alluvial plain highly exposed to sea level rise, storm surge, tornedoes, cyclonic activity, riverbank erosion, salinization and subsequent mangrove depletion. Due to the climatic hazards, the basic livelihoods are at risk and their strategies towards livelihood collection remains largely unknown. Therefore, the present study provides insights into the nexus among climate stimuli, livelihood risks, and households’ strategies in the region, with special emphasize on climate change.</p><p>The study is based on field survey of 150 respondents representing migrant and non-migrant coastal communities from Gosaba, Basanti and Hingalganj block using structured questionnaires. More than 70% of respondents stated that livelihood risks mainly from climate change impacts as the major reason for inter-state migration, which is the main source of income supporting livelihood in the region. This environmental displacement in the Sundarbans region symbolizes the failure of adaptation to mitigate climate change induced sea level rise increasing the exposure to coastal flooding and storm surges, salinization, and erosion.  This study discusses potential mitigation strategies to combat the impacts of climate change on livelihoods of the coastal communities in the region.</p>


2018 ◽  
Vol 11 (2) ◽  
pp. 196-219 ◽  
Author(s):  
Kamrul Hassan ◽  
James Higham ◽  
Ben Wooliscroft ◽  
Debbie Hopkins

2021 ◽  
pp. 341-352
Author(s):  
Mahfuza Zaman Ela ◽  
Taposhi Rabya ◽  
Lubaba Khan ◽  
Md. Habibur Rahman ◽  
Taufiq-E-Ahmed Shovo ◽  
...  

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