A Qualitative Assessment of Natural and Anthropogenic Drivers of Risk to Sustainable Livelihoods in the Indian Sundarban
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Impact Chain Development and Validation Methods
2.3. Data Analysis
3. Results
3.1. Hazards
3.2. Hazards Chains
3.3. Intermediate Impacts
3.4. Social–Ecological Vulnerability
3.4.1. Ecosystem Susceptibility
3.4.2. Social–Ecological Susceptibility
3.4.3. Social Susceptibility
3.5. Exposure
3.6. Risk
4. Discussion
4.1. Hazard
4.2. Vulnerability
4.3. Exposure
4.4. Risk
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Risk Component and Determining Factors | Definition |
---|---|
Risk | “The potential for consequences where something of value is at stake and where the outcome is uncertain (…). Risk results from the interaction of vulnerability, exposure, and hazard (…).” [52] |
Hazard | “The potential occurrence of a natural or human-induced physical event or trend or physical impact that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems, and environmental resources. In the [IPCC] report, the term hazard usually refers to climate-related physical events or trends or their physical impacts.” [52] |
Exposure | “The presence of people, livelihoods, species or ecosystems, environmental functions, services, and resources, infrastructure, or economic, social, or cultural assets in places and settings that could be adversely affected.” [52] |
Vulnerability | “The propensity or predisposition to be adversely affected. Vulnerability encompasses a variety of concepts and elements including sensitivity or susceptibility to harm and lack of capacity to cope and adapt.” [52] |
Sensitivity or Susceptibility | “Sensitivity is the degree to which a system is affected, either adversely or beneficially, by climate-related stimuli. The effect may be direct (e.g., a change in crop yield in response to a change in the mean, range, or variability of temperature) or indirect (e.g., damages caused by an increase in the frequency of coastal flooding due to sea-level rise).” [52] |
Adaptive Capacity | “The ability of systems, institutions, humans, and other organisms to adjust to potential damage, to take advantage of opportunities, or to respond to consequences.” [52] |
Coping Capacity | “The ability of people, institutions, organizations, and systems, using available skills, values, beliefs, resources, and opportunities, to address, manage, and overcome adverse conditions in the short to medium term.” [52] |
Hazard chains | “… hazard chain is essentially a phenomenon whereby one hazard follows another in consequence.” [53] |
Intermediate Impacts | “… are not a risk component by themselves, but merely an auxiliary tool to fully grasp the cause-effect chain leading to the risk. By definition, they are a function of both hazard and vulnerability factors.” [48] |
Method | Expert (Gender, Number) | Rationale |
---|---|---|
Key informant interviews | Representatives from ground-level NGO (male, 2) | Organization where both the experts were residents of the area and could share their lived experiences and a holistic view of the natural and social processes in the region. |
A representative from a ground-level NGO (male, 1) | Organization active for the past 47 years working in areas of health and nutrition; water, sanitation, and hygiene; environment and disaster response; education and protection; and livelihood and women empowerment. The expert was a resident as well. | |
A representative from a ground-level NGO (male, 1) | Active in the region for the last 35 years; this organization works in areas of environment and disaster risk reduction, health, education, nutrition, livelihood, women empowerment, water, and sanitation. The expert was a resident as well. | |
A representative from a ground-level NGO (female, 1) | Working in the region for around 20 years in areas of livelihood, education, rural health development, environment, water and sanitation, and women empowerment. The expert was a resident as well. | |
Academic expert (male, 1) | With over a decade of experience in the region in biogeochemical studies of estuarine and lentic ecosystems covering aspects such as greenhouse gas dynamics and pollution characterization, this expert shared their overall observation on the recent changes and phenomena from across the entire study area. | |
Ex government official (male, 1) | Hailing from the region itself and having the professional background of a government official, this expert shared their lived experience (>60 years) and holistic view of the processes from across the entire study area. | |
Conservationist (male, 1) | Provided rich feedback on the natural and social processes active in the delta based on his lived experience (>50 years) and professional experience as a conservationist. | |
In-depth interviews | Delta dwellers (female, 6) | Since most of the KIIs had male perspectives, to ensure gender sensitivity in the research approach, women of different ages and livelihoods from the communities were consulted to understand their lived experiences. |
TOTAL | Key informant interviews—8 (7 males, 1 female) In-depth interviews—6 (all females) |
Risk Element | Events/Processes | Responses |
---|---|---|
Hazard | Cyclone | 100% |
Rainfall variability | 93% | |
Storm | 57% | |
Sea level rise | 36% | |
High ambient temperature | 29% | |
Land subsidence | 14% | |
Hazard chains | Heavy rainfall | 100% |
Surge | 100% | |
Strong wind | 93% | |
Change in river discharge | 21% | |
High evaporation | 7% | |
Intermediate impact | Salinization (soil and water) | 100% |
Coastal inundation | 93% | |
Embankment breaching | 93% | |
Erosion | 79% | |
Waterlogging | 79% | |
Land loss due to erosion | 71% | |
Ground water depletion | 43% | |
Choking of distributaries | 43% | |
Lack of freshwater flow | 43% | |
Channel widening | 36% | |
Sediment starvation | 29% | |
Drought | 21% | |
Groundwater contamination by arsenic | 21% | |
Extreme hot weather | 14% | |
Change in turbidity | 14% | |
Shallow subsidence | 0% | |
Ecosystem susceptibility | Mangrove degradation | 64% |
Loss of biodiversity | 50% | |
Wetland/marine ecosystem degradation | 29% | |
Change in species distribution | 21% | |
Loss of wildlife habitat | 14% | |
Weaker buffer zones | 0% | |
Social–ecological susceptibility | Increasing pressure on natural resources (overexploitation) | 64% |
Strong dependence on ecosystem-based livelihoods | 64% | |
Land conversion (deforestation, agricultural land to others) | 50% | |
Increased use of fertilizers, pesticides, etc. | 43% | |
Increased groundwater/aquifer abstraction and groundwater quality degradation | 29% | |
Lack of enforcement of restrictions/regulations (C) | 29% | |
Increasing human–animal conflict | 21% | |
Increasing cultural eutrophication | 21% | |
Increasing soil and surface water contamination by heavy metals, plastics, and other chemicals | 21% | |
Social susceptibility | Increasing seasonal male migration | 86% |
Lack of remittances (C) | 79% | |
Lack of hazard-resistant housing (C) | 79% | |
Uncertain income generation from agriculture | 71% | |
Damages to existing temporary housing | 71% | |
Lack of risk awareness (C) | 64% | |
Lack of financial resources (C) | 64% | |
Lack of access to basic services (C) | 64% | |
Increasing demand for irrigation | 57% | |
Lack of income diversification | 57% | |
Increasing workload of women | 57% | |
Lack of preparedness, mitigation, and risk-reduction plans (C) | 57% | |
Substituting traditional varieties of crop with high-yielding varieties | 43% | |
Decrease in availability of agricultural labor | 43% | |
Increasing reluctance in agricultural practices | 36% | |
Lack of social protection measures (C) | 36% | |
Absence of saline tolerant paddy | 29% | |
Lack of crop insurance (C) | 29% | |
Arbitrary locations of hazard protection structures (C) | 21% | |
Increasing industrial pollution | 14% | |
Major Threat | Embankment breaching | 93% |
Salinization {soil and water (surface and ground)} | 86% | |
Land loss due to erosion | 57% | |
Mangrove degradation | 43% | |
Land conversion | 36% | |
Increased groundwater/aquifer abstraction and groundwater quality degradation | 14% | |
(C): capacity includes adaptive capacity (long term) and coping capacity (short-to-medium term) |
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Banerjee, S.; Chanda, A.; Ghosh, T.; Cremin, E.; Renaud, F.G. A Qualitative Assessment of Natural and Anthropogenic Drivers of Risk to Sustainable Livelihoods in the Indian Sundarban. Sustainability 2023, 15, 6146. https://doi.org/10.3390/su15076146
Banerjee S, Chanda A, Ghosh T, Cremin E, Renaud FG. A Qualitative Assessment of Natural and Anthropogenic Drivers of Risk to Sustainable Livelihoods in the Indian Sundarban. Sustainability. 2023; 15(7):6146. https://doi.org/10.3390/su15076146
Chicago/Turabian StyleBanerjee, Sumana, Abhra Chanda, Tuhin Ghosh, Emilie Cremin, and Fabrice G. Renaud. 2023. "A Qualitative Assessment of Natural and Anthropogenic Drivers of Risk to Sustainable Livelihoods in the Indian Sundarban" Sustainability 15, no. 7: 6146. https://doi.org/10.3390/su15076146
APA StyleBanerjee, S., Chanda, A., Ghosh, T., Cremin, E., & Renaud, F. G. (2023). A Qualitative Assessment of Natural and Anthropogenic Drivers of Risk to Sustainable Livelihoods in the Indian Sundarban. Sustainability, 15(7), 6146. https://doi.org/10.3390/su15076146