Livelihood vulnerability to climate change: a case of farm households in Northeast Vietnam
10
Citation
43
Reference
10
Related Paper
Citation Trend
Keywords:
Vulnerability
Vulnerability index
Adaptive capacity
Natural hazard
Adaptive capacity
Natural hazard
Vulnerability
Cite
Citations (46)
Abstract This study calculated the vulnerability and current adaptive capacity of shrimp farmers to climate change in two districts (Duyen Hai –DH and Cau Ngang- CN) of Tra Vinh province, Vietnam. The IPCC framework of vulnerability assessment was employed to analyze three factors (exposure, sensitivity, and adaptive capacity). We proposed 45 indices to calculate those dimensions based on the livelihood capitals (human, physical, natural, social and financial capital). Three methods of assessing climate change vulnerability index were applied to compare the livelihood vulnerability index of shrimp farmers in the two districts (Climate Vulnerability Index – CVI, Livelihood Effect Index-LEI, and Livelihood Vulnerability index under Intergovernmental Panel on Climate Change –LVI-IPCC). Total of 300 households were interviewed in 10 randomly selected villages distributed equally over two districts. The results indicated that three ways of measuring livelihood vulnerability index are consistent with each other. The analysis revealed that the inland district (CN) was more vulnerable to climate change than the coastal districts (DH) due to natural capital and social capital mainly.
Adaptive capacity
Vulnerability index
Vulnerability
Natural Capital
Social vulnerability
Composite index
Cite
Citations (3)
Climate Vulnerability Index (CVI) is developed to measure the susceptibility of communities to climate change using a case study. The index includes factors for each of the three aspects of vulnerability, including 'Exposure', 'Sensitivity', and 'Adaptive Capability'. Sensitivity is determined by "Health", "Food", and "Water", Adaptive Capability is characterized by "Socio-demographic profile," "Livelihood strategies," and "Social networks", and Exposure is identified by "Natural Disaster" and "Climate Variability". A study was conducted to investigate the vulnerability of fishermen in Assasuni Upazila, Satkhira, Bangladesh. The study involved individual surveys of randomly identified 100 fishermen from three groups: Gher-based, Ocean-based, and River-based. The findings indicate that the Gher-based fishing community exhibits higher levels of adaptive capacity (0.39), sensitivity (0.57), and exposure (0.74) in comparison to the other two communities. The sub-indicator about the migration of individuals for Gher-based livelihoods exhibits a relatively higher value of 0.85, in contrast to the relatively lower values of 0.23 and 0.11 for river and ocean-based livelihoods, respectively. The utilization of index-based output observations may aid policymakers from national to local levels in identifying and implementing the appropriate adaptation practices that prioritize the welfare of fishing communities residing in the coastal regions of Bangladesh.
Vulnerability
Vulnerability index
Adaptive capacity
Social vulnerability
Cite
Citations (1)
Vulnerability
Vulnerability index
Natural hazard
Cite
Citations (45)
Globally, fisheries support livelihoods of over half a billion people who are exposed to multiple climatic stresses and shocks that affect their capacity to subsist. Yet, only limited research exists on the vulnerability of fishery-based livelihood systems to climate change. We assess the vulnerability of fishery-based livelihoods to the impacts of climate variability and change in two coastal fishing communities in Bangladesh. We use a composite index approach to calculate livelihood vulnerability and qualitative methods to understand how exposure, sensitivity, and adaptive capacity measured by sub-indices produce vulnerability. Our results suggest that exposure to floods and cyclones, sensitivity (such as dependence on small-scale marine fisheries for livelihoods), and lack of adaptive capacity in terms of physical, natural, and financial capital and diverse livelihood strategies construe livelihood vulnerability in different ways depending on the context. The most exposed community is not necessarily the most sensitive or least able to adapt because livelihood vulnerability is a result of combined but unequal influences of bio-physical and socio-economic characteristics of communities and households. But within a fishing community, where households are similarly exposed, higher sensitivity and lower adaptive capacity combine to create higher vulnerability. Initiatives to reduce livelihood vulnerability should be correspondingly multifaceted.
Adaptive capacity
Vulnerability
Vulnerability index
Cite
Citations (260)
Natural hazard
Storm Surge
Risk Perception
Cite
Citations (0)
The USGS Role in Reducing Disaster Losses -- In the United States each year, natural hazards cause hundreds of deaths and cost billions of dollars in disaster aid, disruption of commerce, and destruction of homes and critical infrastructure. Although the number of lives lost to natural hazards each year generally has declined, the economic cost of major disaster response and recovery continues to rise. Each decade, property damage from natural hazards events doubles or triples. The United States is second only to Japan in economic damages resulting from natural disasters. A major goal of the U.S. Geological Survey (USGS) is to reduce the vulnerability of the people and areas most at risk from natural hazards. Working with partners throughout all sectors of society, the USGS provides information, products, and knowledge to help build more resilient communities.
Natural hazard
Vulnerability
Geologic hazards
Economic cost
Cite
Citations (9)
Vulnerability index
Natural hazard
Vulnerability
Storm Surge
Coastal hazards
Cite
Citations (6)
The purpose of this study was to develop a Korean climate change vulnerability assessment tool, the Vulnerability Assessment Tool to build Climate Change Adaptation Plan (VESTAP). Based on Intergovernmental Panel on Climate Change methodology, VESTAP can be used to evaluate Korea’s vulnerability to major climate impacts (including 32 conditions in 8 categories). VESTAP is based on RCP 4.5/8.5 scenarios and can provide evaluation results in 10-year intervals from the 2010s to 2040s. In addition, this paper presents the results of a case study using VESTAP for targeted assessment of health vulnerability to heat waves under the RCP 8.5 scenario for the 2040s. Through vulnerability assessment at the province level in South Korea, Daegu Metropolitan City was identified as the most vulnerable region. The municipality and submunicipality levels of Daegu were also assessed in separate stages. The results indicated that Pyeongni 3-Dong in Seo-Gu was most vulnerable. Through comprehensive analysis of the results, the climate exposure index was identified as the greatest contributor to health vulnerability in Korea. Regional differences in climate exposure can be moderated by social investment in improving sensitivity and adaptive capacity. This study is significant in presenting a quantitative assessment of vulnerability to climate change by the administrative unit in South Korea. The results of this study are expected to contribute to the efficient development and implementation of climate change adaptation policies in South Korea.
Vulnerability
Adaptive capacity
Vulnerability index
Heat wave
Cite
Citations (28)
Livelihood Vulnerability Index (LVI) is being proposed to assess the degree of vulnerability and adaptability against the impacts of natural disasters in the Nubra valley. The index comprises households variables of all the three dimensions of vulnerability such as Exposure, Sensitivity, and Adaptive Capacity. Exposure is described by 'Natural disaster', 'Its impact', and 'Flood warning'. Sensitivity is defined by 'Water', 'Housing', 'Health' and 'Finance', and Adaptive Capacity by 'Socio-demographic profile', 'Livelihood strategies', 'Food', and 'Social networks'. The study is based on the primary data and information collected from 300 sample households in the three blocks such as Turtuk, Diskit, and Panamik in the Nubra valley (Union Territory of Ladakh), India. Data were aggregated using a composite index and disparity vulnerabilities were compared. The result reveals that Panamik block was higher exposed (0.402) to the impacts of natural disasters and higher sensitivity (0.333) of water, housing, health, and finance due to the less adaptive capacity 0.298) of socio-demographic profile, livelihood strategies, food, social network in respect to other blocks. The LVI of Turtuk 0.889, Diskit 0.836, and Panamik 0.904 or LVI-IPCC was 0.004, -0.017, and 0.035 for Tutuk, Diskit and Panamik blocks, respectively, and this suggests that overall vulnerability was higher to Panamik households, and least vulnerability to Diskit households. This pragmatic LVI approach may be used to monitor vulnerability under different stress situations. The result obtained by LVI may have implications for improving adaptation or coping strategies to the region.
Adaptive capacity
Vulnerability
Vulnerability index
Social vulnerability
Composite index
Cite
Citations (3)