scholarly journals The VULNERABILITY OF SALT FARMER HOUSES IN DONGGOBOLO VILLAGE DUE TO CLIMATE CHANGES

2021 ◽  
Vol 11 (2) ◽  
pp. 298-308
Author(s):  
Davit Aldi ◽  
Nurhayati ◽  
Eka Intan Kumala Putri
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Adaptive Capacity ◽  
Climate Changes ◽  
Descriptive Analysis ◽  
Vulnerability Index ◽  
Index Analysis ◽  
Final Score ◽  
Floods And Droughts ◽  
Index Value

This study aims to determine the vulnerability of salt farmer households due to climate change in Donggobolo Village. Weather anomalies resulting from climate change causes floods and droughts which negatively affect household livelihoods. The method for assessing the vulnerability of salt farmer households in this study is the LVI (Livelihood Vulnerability Index) analysis, LVI-IPCC, and descriptive analysis. LVI analysis uses seven components of vulnerability which include climate variability, food, water, health, socio-demographic profile, livelihood strategies, and social networks. The calculation of the overall value of the LVI components shows that the salt farmer household in Donggobolo Village is closer to the scale value for the most vulnerable conditions, with an index value of 0.333. The value of the climate variability component is the dominant value in the LVI, which is equal to 0.759. Based on the grouping of the seven LVI indicators into the IPCC vulnerability components (exposure, adaptive capacity, and sensitivity), the final score is 0.172. The large value of exposure compared to adaptive capacity causes household conditions to be closer to vulnerable conditions.  

scholarly journals Communities’ Livelihood Vulnerability to Climate Variability in Ethiopia

2019 ◽  
Vol 11 (22) ◽  
pp. 6302 ◽  
Author(s):  
Misganaw Teshager Abeje ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Zerihun Nigussie ◽  
Enyew Adgo ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Adaptive Capacity ◽  
Policy Development ◽  
Composite Index ◽  
Household Survey ◽  
Kendall Test ◽  
Vulnerability Index ◽  
Relative Difference ◽  
Sustainable Livelihood

Ethiopia has experienced more than 10 major drought episodes since the 1970s. Evidence has shown that climate change exacerbates the situation and presents a daunting challenge to predominantly rain-fed agricultural livelihoods. The aim of this study was to analyze the extent and sources of smallholder famers’ livelihood vulnerability to climate change/variability in the Upper Blue Nile basin. We conducted a household survey (n = 391) across three distinct agroecological communities and a formative composite index of livelihood vulnerability (LVI) was constructed. The Mann–Kendall test and the standard precipitation index (SPI) were employed to analyze trends of rainfall, temperature, and drought prevalence for the period from 1982 to 2016. The communities across watersheds showed a relative difference in the overall livelihood vulnerability index. Aba Gerima (midland) was found to be more vulnerable, with a score of 0.37, while Guder (highland) had a relatively lower LVI with a 0.34 index score. Given similar exposure to climate variability and drought episodes, communities’ livelihood vulnerability was mainly attributed to their low adaptive capacity and higher sensitivity indicators. Adaptive capacity was largely constrained by a lack of participation in community-based organizations and a lack of income diversification. This study will have practical implications for policy development in heterogeneous agroecological regions for sustainable livelihood development and climate change adaptation programs.

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 Mapping Climate Vulnerability of River Basin Communities in Tanzania to Inform Resilience Interventions

2020 ◽  
Vol 12 (10) ◽  
pp. 4102 ◽  
Author(s):  
Denis Macharia ◽  
Erneus Kaijage ◽  
Leif Kindberg ◽  
Grace Koech ◽  
Lilian Ndungu ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Local Government ◽  
Climate Variability ◽  
Vulnerability Index ◽  
Government Agencies ◽  
Socioeconomic Indicators ◽  
Climate Variability And Change ◽  
Adaptation Measures ◽  
Climate Vulnerability

Increasing climate variability and change coupled with steady population growth is threatening water resources and livelihoods of communities living in the Wami-Ruvu and Rufiji basins in Tanzania. These basins are host to three large urban centers, namely Dar es Salaam, Dodoma and Morogoro, with a combined total of more than 7 million people. Increased demand for ecosystem services from the available surface water resources and a decreasing supply of clean and safe water are exacerbating the vulnerability of communities in these basins. Several studies have analyzed climate projects in the two basins but little attention has been paid to identify locations that have vulnerable communities in a spatially-explicit form. To address this gap, we worked with stakeholders from national and local government agencies, basin water boards and the Water Resources Integration Development Initiative (WARIDI) project funded by USAID to map the vulnerability of communities to climate variability and change in the two basins. A generalized methodology for mapping social vulnerability to climate change was used to integrate biophysical and socioeconomic indicators of exposure, sensitivity and adaptive capacity and produced climate vulnerability index maps. Our analysis identified vulnerability “hotspots” where communities are at a greater risk from climate stressors. The results from this study were used to identify priority sites and adaptation measures for the implementation of resilience building interventions and to train local government agencies and communities on climate change adaptation measures in the two basins.

scholarly journals A Framework for Assessment of Micro Level Vulnerability to Climate Variability of Farmers: A Case Study in Kerala, India

2021 ◽  
pp. 204-209
Author(s):  
S. Ajmal ◽  
T. Paul Lazarus ◽  
Aswathy Vijayan ◽  
Brigit Joseph ◽  
R. V. Manju
Keyword(s):  
Climate Variability ◽  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Empirical Method ◽  
Individual Level ◽  
Country Level ◽  
Micro Level ◽  
Different Levels

The vulnerability of farmers to climate variability is an important topic of discussion. It varies depending upon diverse factors that disturbing it, likewise, the extent of vulnerability varies according to different levels, i.e.; from a whole country level to an individual level or in other words from macro to micro level. This study attempts to build a framework for the assessment of the microlevel vulnerability of farmers. A vulnerability index was made from normalized values of three major component indices (sensitivity, exposure, and adaptive capacity), which is made up of a selected number of sub components. The study was conducted by selecting respondents from two districts of Kerala, and it was found that this method can be used as an empirical method to interpret the vulnerability to climate variability, keeping the fact that it is only a constrained measure of risk.

Vulnerability Assessment of Farmer’s Livelihood to Flood in An Giang Province

2019 ◽  
pp. 251660261986062
Author(s):  
P. X. Phu ◽  
N. N. De
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Global Environmental Change ◽  
Vulnerability Index ◽  
Livelihood Strategies ◽  
Middle Zone ◽  
Lower Zone ◽  
Knowledge And Skills ◽  
Global Environmental ◽  
Local Farmers

This study, conducted in An Giang Province of Vietnam, assesses the vulnerability and adaptability of local farmers to the flood in different conditions. Livelihood Vulnerability Index (LVI) proposed by Hahn, Riederer, and Foster (2009, Global Environmental Change, 19(1), 74–88) was applied for livelihood vulnerability analysis of different flooding zones (upper, middle and lower zones) in low flooding condition. Research results showed that LVI of different flooding zones are decreasingly dependent on major components of social networks, knowledge and skills, natural resources, finance and incomes, livelihood strategies, and natural disaster and climate variability. In which, LVI of Phu Huu commune in An Phu district which locates in the upper zone is 0.397 higher than LVI of two communes located in the lower parts of the river: Vinh An commune, Chau Thanh district (middle zone; LVI: 0.299) and Vinh Phuoc commune, Tri Ton district (lower zone; LVI: 0.357). Adaptive capacity of Phu Huu commune (0.415) is also higher than Vinh An (0.304) and Vinh Phuoc (0.355) communes. It reflects the direct correlation between LVI and adaptive capacity. The research recommends some solutions to reduce the vulnerability on livelihoods due to floods in the context of climate change.

A strategic analysis of climate vulnerability of national park resources and values

2021 ◽  
Author(s):  
Julia Michalak ◽  
Josh Lawler ◽  
John Gross ◽  
Caitlin Littlefield
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
National Park ◽  
Climate Changes ◽  
Climate Change Impacts ◽  
Cultural Resources ◽  
Vulnerability Factors ◽  
Climate Change Vulnerability ◽  
Vulnerability Assessments ◽  
Wide Range

The U.S. national parks have experienced significant climate-change impacts and rapid, on-going changes are expected to continue. Despite the significant climate-change vulnerabilities facing parks, relatively few parks have conducted comprehensive climate-change vulnerability assessments, defined as assessments that synthesize vulnerability information from a wide range of sources, identify key climate-change impacts, and prioritize vulnerable park resources (Michalak et al. In review). In recognition that funding and planning capacity is limited, this project was initiated to identify geographies, parks, and issues that are high priorities for conducting climate-change vulnerability assessments (CCVA) and strategies to efficiently address the need for CCVAs across all U.S. National Park Service (NPS) park units (hereafter “parks”) and all resources. To help identify priority geographies and issues, we quantitatively assessed the relative magnitude of vulnerability factors potentially affecting park resources and values. We identified multiple vulnerability factors (e.g., temperature change, wildfire potential, number of at-risk species, etc.) and sought existing datasets that could be developed into indicators of these factors. To be included in the study, datasets had to be spatially explicit or already summarized for individual parks and provide consistent data for at least all parks within the contiguous U.S. (CONUS). The need for consistent data across such a large geographic extent limited the number of datasets that could be included, excluded some important drivers of climate-change vulnerability, and prevented adequate evaluation of some geographies. The lack of adequately-scaled data for many key vulnerability factors, such as freshwater flooding risks and increased storm activity, highlights the need for both data development and more detailed vulnerability assessments at local to regional scales where data for these factors may be available. In addition, most of the available data at this scale were related to climate-change exposures, with relatively little data available for factors associated with climate-change sensitivity or adaptive capacity. In particular, we lacked consistent data on the distribution or abundance of cultural resources or accessible data on infrastructure across all parks. We identified resource types, geographies, and critical vulnerability factors that lacked data for NPS’ consideration in addressing data gaps. Forty-seven indicators met our criteria, and these were combined into 21 climate-change vulnerability factors. Twenty-seven indicators representing 12 vulnerability factors addressed climate-change exposure (i.e., projected changes in climate conditions and impacts). A smaller number of indictors measured sensitivity (12 indicators representing 5 vulnerability factors). The sensitivity indicators often measured park or landscape characteristics which may make resources more or less responsive to climate changes (e.g., current air quality) as opposed to directly representing the sensitivity of specific resources within the park (e.g., a particular rare species or type of historical structure). Finally, 6 indicators representing 4 vulnerability factors measured external adaptive capacity for living resources (i.e., characteristics of the park and/or surrounding landscape which may facilitate or impede species adaptation to climate changes). We identified indicators relevant to three resource groups: terrestrial living, aquatic living (including living cultural resources such as culturally significant landscapes, plant, or animal species) and non-living resources (including infrastructure and non-living cultural resources such as historic buildings or archeological sites). We created separate indicator lists for each of these resource groups and analyzed them separately. To identify priority geographies within CONUS,...

scholarly journals Livelihood vulnerability and climate change: a comparative analysis of smallholders in the Indo-Gangetic plains

2021 ◽  
Author(s):  
Terese E. Venus ◽  
Stephanie Bilgram ◽  
Johannes Sauer ◽  
Arun Khatri-Chettri
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Information And Communication Technologies ◽  
Alternative Energy ◽  
Conservation Agriculture ◽  
Vulnerability Index ◽  
Weather Data ◽  
Gangetic Plains ◽  
Alternative Energy Sources ◽  
Climate Exposure

AbstractIn the Indo-Gangetic Plains, one of India’s most productive agricultural regions, smallholder livelihood vulnerability can inhibit sustainable development. As there are significant differences in economic development, natural resources and agricultural productivity within the region, we estimate the Livelihood Vulnerability Index in two districts (Vaishali, Bihar and Karnal, Haryana) to determine suitable adaptation strategies under diverse conditions. To reflect different aspects of climate exposure, we include both self-reported climate shocks and spatially interpolated weather data. The assessment of 1127 households shows that while both districts have similar exposure and adaptive capacity levels, the sensitivity dimension makes Vaishali more vulnerable to climate change. To reduce sensitivity, decision-makers should focus on improving infrastructure (e.g., permanent housing, latrines, health centers, alternative energy sources). To improve adaptive capacity and reduce climate risk in both regions, policymakers should promote the expansion of extension training for livelihood diversification, information and communication technologies as well as conservation agriculture.

scholarly journals Assessment of Vulnerability of Croplands to Climate Variability in Federal Capital Territory (FCT) Abuja, Nigeria

2021 ◽  
pp. 12-39
Author(s):  
Dada Ibilewa ◽  
Mustapha Aliyu ◽  
Samaila K. Ishaya ◽  
Joshua I. Magaji
Keyword(s):  
Climate Variability ◽  
Adaptive Capacity ◽  
Vulnerability Assessment ◽  
Crop Production ◽  
Warning System ◽  
Vulnerability Index ◽  
Policy Makers ◽  
Variability Pattern ◽  
Private And Public ◽  
Vulnerability Maps

Despite the wide coverage of study on vulnerability in the Federal Capital Territory (FCT) of Nigeria over the years, it was observed that no emphasis has been placed on assessment of vulnerability of croplands to climate variability using the integrated vulnerability assessment and Geo-Informatics technique. This was achieved by determining the climate variability pattern in FCT from 1981 to 2017, determining the exposure index and the degree of sensitivity of croplands to climate variability, assessing the adaptive capacity of farmers to climate variability, evaluating the vulnerability of croplands to climate variability and developing vulnerability maps of croplands using the information produced. Yam, beans and maize were used as referenced crops in this study. Indicators were generated and analyzed on the three components of vulnerability: exposure, sensitivity and adaptive capacity. The study used the mixed research design. The Analytical Hierarchy Process was used to assign weight to the indicators. The weights were used to generate the exposure, sensitivity and adaptive capacity indices which were used to generate the vulnerability index map. Aggregate vulnerability index (AVI) was finally determined from the weighted sum of all indicators and used to produce the vulnerability map of the six Area Councils. The study shows that Gwagwalada Area Council has the highest vulnerability (0.2323) and Abaji Area Council has the lowest (0.005). Kwali and AMAC Area Councils were highly vulnerable to climate variability (Kwali 0.1562, AMAC 0.1565). Kuje Area Council has low vulnerability (0.0273) to climate variability. Bwari Area Council showed moderate vulnerability (0.0982). The implication of the results is that the three crops (maize, beans and yam) will produce moderately at moderate vulnerability while their production will be marginal and optimal at very high and very low vulnerabilities respectively. Crop production will be optimum in Abaji, marginal in Gwagwalada and moderate in Bwari. The study also revealed that vulnerability assessment is essential in determining the varying degrees of vulnerability in different localities. It also provides information that can help researchers, policy makers, private and public institutions in planning location-based adaptation strategies and prioritizing allocating limited resources in FCT. Agriculture should be heavily subsidized in terms of providing irrigation infrastructure to farmers to reduce over-reliance on rain fed agriculture. Installation of early weather warning system manned with expertise should be made available in all the Area Councils to provide timely and accurate climatic information to farmers.

scholarly journals Rural households’ livelihood vulnerability to climate variability and extremes: a livelihood zone-based approach in the Northeastern Highlands of Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Abebe Arega Mekonen ◽  
Arega Bazezew Berlie
Keyword(s):  
Climate Variability ◽  
Adaptive Capacity ◽  
Rural Households ◽  
Vulnerability Index ◽  
Moderate Level ◽  
Policy Implications ◽  
Population Pressure ◽  
Assessment Approach ◽  
Climate Vulnerability Index ◽  
High Level

Abstract Background The adverse effects of climate variability and extremes exert increasing pressure on rural farm households whose livelihoods are dependent on nature. However, integrated and area-specific vulnerability assessments in Ethiopia in general and the study area, in particular, are scarce and insufficient for policy implications. Therefore, this study aims to quantify, map, classify, and prioritize the level of vulnerability in terms of the components of exposure, sensitivity, and adaptive capacity in the Northeastern Highlands of Ethiopia. The study area is divided into six livelihood zones, namely, Abay-Beshilo Basin (ABB), South Wollo and Oromia eastern lowland sorghum and cattle (SWS), Chefa Valley (CHV), Meher-Belg, Belg, and Meher. A total of 361 sample households were selected using proportional probability sampling techniques. Survey questionnaire, key informant interview, and focus group discussions were used to collect the necessary data. Rainfall and temperature data were also used. Following the IPCC’s climate change vulnerability assessment approach, the climate vulnerability index (CVI) framework of Sullivan and Meigh’s model was used to assess the relative vulnerability of livelihoods of rural households. Twenty-four vulnerability indicators were identified for exposure, sensitivity, and adaptive capacity components. In this regard, Iyengar and Sudarshan’s unequal weighting system was applied to assign a weight to indicators. Results The results revealed that Belg and Meher were found to be the highest exposure livelihood zones to vulnerability with an aggregated value of 0.71. Equally, SWS, ABB, Belg, and CHV livelihood zones showed moderate level of sensitivity to vulnerability with an aggregated value between 0.45 and 0.60. The study noted that livelihood zone of Belg (0.75) was found to be at high level of livelihood vulnerability. ABB (0.57) and CHV (0.45) were at a moderate level of livelihood vulnerability while Meher-Belg (0.22) was the least vulnerable livelihood zone due to a high level of adaptive capacity such as infrastructure, asset accumulation, and social networks. Conclusion It was identified that disparities of livelihood vulnerability levels of rural households were detected across the study livelihood zones due to differences in the interaction of exposure, sensitivity, and adaptive capacity components. The highest levels of exposure and sensitivity combined with low level of adaptive capacity have increased households’ livelihood vulnerability. More importantly, the biophysical and socioeconomic sensitivity to livelihood vulnerability were exacerbated by slope/topography, soil erodibility, and population pressure. Therefore, designing livelihood zone-based identifiable adaptation strategies are essential to reduce the exposure and sensitivity of crop-livestock mixed agricultural systems to climate calamity.

scholarly journals A new approach to assess the impact of extreme temperature conditions on social vulnerability

2021 ◽  
Author(s):  
Ibolya Török ◽  
Adina-Eliza Croitoru ◽  
Titus-Cristian Man
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Social Vulnerability ◽  
Extreme Temperature ◽  
Principal Component ◽  
Vulnerability Index ◽  
Point Of View ◽  
Social Vulnerability Index ◽  
Economic Point ◽  
The Impact

Abstract. The objective of this research is to develop a set of vulnerability indicators and to analyze the effect of climate factors on social vulnerability. While the main aim of the study is to improve the existing methodology by quantifying the effects of climate change on social vulnerability, it also represents a novel scientific contribution in the field, as it delimits for the first time in the Romanian literature the most vulnerable areas from this point of view. This study aims to facilitate the decision-making processes and planning efforts targeting the increase of resilience and adaptive capacity of local communities. By applying the principal component analysis, we have selected 45 variables and have constructed four aggregated indexes. The Climate-Related Social Vulnerability index (CleSoVI) has pointed out that the largest impact on the current vulnerability of settlements in the test region (Cluj County) can be attributed to the lack of adaptive capacity and increased poverty, the most vulnerable areas being represented by the eastern and north-western parts of the county. From a socio-economic point of view, local authorities' efforts should concentrate on reducing the vulnerability of these regions and preparing them to cope with- and adapt to the impact of climate change.

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