scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Formal Education ◽  
Vulnerability Index ◽  
Farm Size ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Study Sites

Abstract The purpose of this study was to assess household’s agricultural vulnerability to climate induced disasters and to identify the indicators of adaptive capacity that determine the vulnerability of south-western coastal household’s in Bangladesh. The vulnerability was calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then the ordered logit model was employed in order to identify key determinants of agricultural vulnerability to climate induced disasters. A survey of 346 household’s head from the two settlements (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District was used in this study. Findings revealed that the mean score of Sutarkhali was 0.703 (high) in exposure, 0.724 (high) in sensitivity, 0.341 (low) in adaptive capacity and finally, the agricultural vulnerability index (AVI) was 0.695 (high). On the same fashion, Nalian was an average score of 0.697 (high) in exposure, 0.721 (high) in sensitivity, 0.386 (low) in adaptive capacity, and finally 0.677 (high) in agricultural vulnerability index (AVI). Annual savings, formal education, ownership of livestock, improved seeds supply, access to irrigation pump, improved crop diversification/ High Yielding Variety (HYV) crops, access to large farm size and access to farm credit were found to be statistically significant indicators of adaptive capacity that determine agricultural vulnerability of the both study sites. Finally it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household Livelihood Vulnerability to Climate Change in West China

2022 ◽  
Vol 19 (1) ◽  
pp. 551
Author(s):  
Jinyu Shen ◽  
Wei Duan ◽  
Yuqi Wang ◽  
Yijing Zhang
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Household Head ◽  
Vulnerability Index ◽  
Multiple Regression Model ◽  
Western China ◽  
Intergovernmental Panel ◽  
Adaptive Capability ◽  
Vulnerable Community ◽  
Household Livelihood

Climate change disproportionately affects natural resource-dependent communities in the ecologically vulnerable regions of western China. This study used the household livelihood vulnerability index under the Intergovernmental Panel on Climate Change (HLV-IPCC) to assess vulnerability. Data were collected from 823 households in Ningxia, Gansu, Guangxi, and Yunnan provinces, these being ecologically vulnerable regions in China. With a composite HLVI-IPCC and multiple regression model, the factors that affect households’ adaptive capability to HLVI-IPCC was estimated. Results indicate that Ningxia is the most vulnerable community, while Guangxi is the least vulnerable community across all indices. Moreover, Gansu has the heaviest sensitivity and exposure to climate change, whereas Ningxia has the highest adaptive capability to climate change. In addition, the age of household head and distance of the home to the town center had significant negative impacts on households’ adaptive capacity to HLVI-IPCC. The results also suggest that the HLVI assessment can provide an effective tool for local authorities to formulate prioritizing strategies with promoting climate-resilient development and increasing long-term adaptive capacity.

scholarly journals Assessing The Impacts of Climate Variability on Rural Households in Agricultural Land Through The Application of Livelihood Vulnerability Index

2021 ◽  
Vol 6 (1) ◽  
pp. 96
Author(s):  
Ginjo Gitima ◽  
Abiyot Legesse ◽  
Dereje Biru
Keyword(s):  
Climate Variability ◽  
Natural Hazards ◽  
Agricultural Land ◽  
Rural Households ◽  
Composite Index ◽  
Sampling Technique ◽  
Vulnerability Index ◽  
Climatic Data ◽  
Intergovernmental Panel ◽  
Household Heads

Climate variability adversely affects rural households in Ethiopia as they depend on rain-fed agriculture, which is highly vulnerable to climate fluctuations and severe events such as drought and pests. In view of this, we have assessed the impacts of climate variability on rural household’s livelihoods in agricultural land in Tarchazuria district of Dawuro Zone. A total of 270 samples of household heads were selected using a multistage sampling technique with sample size allocation procedures of the simple random sampling method. Simple linear regression, the standard precipitation index, the coefficient of variance, and descriptive statistics were used to analyze climatic data such as rainfall and temperature. Two livelihood vulnerability analysis approaches, such as composite index and Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change (LVI-IPCC) approaches, were used to analyze indices for socioeconomic and biophysical indicators. The study revealed that the variability patterns of rainfall and increasing temperatures had been detrimental effects on rural households' livelihoods. The result showed households of overall standardized, average scores of Wara Gesa (0.60) had high livelihood vulnerability with dominant major components of natural, physical, social capital, and livelihood strategies to climate-induced natural hazards than Mela Gelda (0.56). The LVI-IPCC analysis results also revealed that the rural households in Mela Gelda were more exposed to climate variability than Wara Gesa and slightly sensitive to climate variability, considering the health and knowledge and skills, natural capitals, and financial capitals of the households. Therefore, interventions including road infrastructure construction, integrated with watershed management, early warning information system, providing training, livelihood diversification, and SWC measures' practices should be a better response to climate variability-induced natural hazards. Keywords: Households;  Livelihood Vulnerability Index; climate variability; Tarchazuria District   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

scholarly journals Assessing Impact of Climate Variability in Southwest Coastal Bangladesh Using Livelihood Vulnerability Index

Climate ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 107
Author(s):  
Sabrina Mehzabin ◽  
M. Shahjahan Mondal
Keyword(s):  
Climate Variability ◽  
Linear Regression Analysis ◽  
Kendall Test ◽  
Vulnerability Index ◽  
Precipitation Anomaly ◽  
Primary Data ◽  
Precipitation Concentration Index ◽  
Coastal Bangladesh ◽  
Present Decade ◽  
The Impact

This study analyzed the variability of rainfall and temperature in southwest coastal Bangladesh and assessed the impact of such variability on local livelihood in the last two decades. The variability analysis involved the use of coefficient of variation (CV), standardized precipitation anomaly (Z), and precipitation concentration index (PCI). Linear regression analysis was conducted to assess the trends, and a Mann–Kendall test was performed to detect the significance of the trends. The impact of climate variability was assessed by using a livelihood vulnerability index (LVI), which consisted of six livelihood components with several sub-components under each component. Primary data to construct the LVIs were collected through a semi-structed questionnaire survey of 132 households in a coastal polder. The survey data were triangulated and supplemented with qualitative data from focused group discussions and key informant interviews. The results showed significant rises in temperature in southwest coastal Bangladesh. Though there were no discernable trends in annual and seasonal rainfalls, the anomalies increased in the dry season. The annual PCI and Z were found to capture the climate variability better than the currently used mean monthly standard deviation. The comparison of the LVIs of the present decade with the past indicated that the livelihood vulnerability, particularly in the water component, had increased in the coastal polder due to the increases in natural hazards and climate variability. The index-based vulnerability analysis conducted in this study can be adapted for livelihood vulnerability assessment in deltaic coastal areas of Asia and Africa.

scholarly journals Assessing the Vulnerability of Marine Fisheries in China: Towards an Inter-Provincial Perspective

2018 ◽  
Vol 10 (11) ◽  
pp. 4302 ◽  
Author(s):  
Qi Chen ◽  
Weiteng Shen ◽  
Bing Yu
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Fisheries Management ◽  
Vocational Training ◽  
Large Scale ◽  
Environmental Changes ◽  
Marine Pollution ◽  
Marine Fisheries ◽  
Intergovernmental Panel ◽  
Adaptation Measures

China’s marine fisheries are undergoing large-scale environmental changes associated with climate change, marine pollution, and overfishing. The assessment of marine fisheries vulnerability has become extremely necessary for fisheries management and sustainable development. However, studies on China’s marine fisheries vulnerability remains sparse. This study aimed to provide an analysis of the inter-provincial level vulnerability of China’s marine fisheries under multiple disturbances. The vulnerability measure was composed of exposure, sensitivity, and adaptive capacity indicators specific to marine fisheries based on the Intergovernmental Panel on Climate Change (IPCC) definitions. Results showed that Liaoning, Hebei, Fujian, and Hainan provinces appeared to be the most vulnerable; Shanghai appeared to be less vulnerable among China’s 11 coastal provinces; and the key sources of vulnerability differed considerably among coastal regions. The high vulnerability regions could be divided into two different patterns according to the combination of exposure, sensitivity, and adaptive capacity, but they all had one thing in common: relatively low adaptive capacity. While some existing coercive measures to reduce dependence on fisheries were found to be helpful in China, the reality showed that appropriate adaptation measures such as improving fishermen’s education level and increasing vocational training may be helpful in enhancing the existing policy effectiveness.

scholarly journals An Assessment of Vulnerability of Fishers’ Livelihood to Climate Change in Coastal Odisha

2019 ◽  
Vol 14 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Sambit Priyadarshi ◽  
S. N. Ojha ◽  
Arpita Sharma
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
East Coast ◽  
Vulnerability Index ◽  
The State ◽  
Context Specificity ◽  
East Coast Of India ◽  
Index Approach ◽  
Vulnerability Score

A study was conducted in Odisha, a state on the east coast of India, with the objective of assessing the vulnerability of fishers’ livelihood to climate change. The state was chosen for study since it is considered as one of the most vulnerable states due to climate change. A total of 120 fishers were interviewed from two districts, Balasore and Ganjam, to assess their livelihood vulnerability by considering their exposure, sensitivity and adaptive capacity to climate change. A composite livelihood vulnerability index by suggesting that fishers are vulnerable to climate change. For fishers of + 0.03 and for Ganjam it was 0.5 minima 0, and maxima 1 was used for the purpose. Baleswar the score was 0.56 0.04, s. The aggregated vulnerability score was found to be 0.54+The composite livelihood vulnerability index approach calculates vulnerability by aggregating data for a set of indicators for the components of vulnerability which include exposure, sensitivity, and adaptive capacity + 0.04. Vulnerability score was relatively higher in Baleswar due to higher scores on the exposure and sensitivity parameters overshadowing the higher adaptive capacity. The study shows evidence that marine fishers of Odisha are vulnerable to climate change. Also, it throws light on the location and context specificity of livelihood vulnerability.

scholarly journals Community Participation in Decentralized Management of Natural Resources in the Southern Region of Mali

2016 ◽  
Vol 6 (2) ◽  
pp. 1 ◽  
Author(s):  
Clarisse Umutoni ◽  
Augustine Ayantunde ◽  
Matthew Turner ◽  
Germain J. Sawadogo
Keyword(s):  
Natural Resources ◽  
Community Participation ◽  
Natural Resource ◽  
Local Level ◽  
Community Leaders ◽  
Local Institutions ◽  
Decentralized Governance ◽  
Level Of Knowledge ◽  
Household Heads ◽  
Study Sites

<p class="1Body">Decentralized governance of natural resources is considered one of the key strategies for promoting sustainable management of natural resources at local level. Effective decentralized natural resource management requires strong local natural resource institutions. Therefore, strengthening local institutions governing the management of natural resources is one of the core principles of decentralization reforms in Francophone West Africa countries. This study assessed the existing local institutions (rules, norms and or local conventions) governing the management of natural resources and forms of community participation in the development of these natural resource institutions. Our findings showed significant variation within the study sites regarding the level of knowledge of existing local rules and norms governing the management of natural resources by the respondents. Results showed that the level of knowledge of local conventions was significantly (P &lt; 0.05) higher in the district of Bougouni than in the district of Koutiala (a score of 3.16 compared to 1.70 on a scale of 0 to 4).This study shows also that participation was dominated by a small group of individuals, often community leaders and elites. The results suggest that women are marginalized. Presently, the big challenge that faces the institutions governing natural resource use in the study area is the system of representativeness in the community in the development of local rules and norms as community leaders and household heads often dominate, which does not encourage active participation of community members. Therefore, for effective implementation of local natural resource institutions, the interest of key natural resource users should be taken into account. It is also important to promote rules and norms that attempt to protect or strengthen women’s access to natural resources in the community.</p>

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