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

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.

2005 ◽  
Vol 51 (5) ◽  
pp. 69-78 ◽  
Author(s):  
C. Sullivan ◽  
J. Meigh

It is known that climate impacts can have significant effects on the environment, societies and economies. For human populations, climate change impacts can be devastating, giving rise to economic disruption and mass migration as agricultural systems fail, either through drought or floods. Such events impact significantly, not only where they happen, but also in the neighbouring areas. Vulnerability to the impacts of climate change needs to be assessed, so that adaptation strategies can be developed and populations can be protected. In this paper, we address the issue of vulnerability assessment through the use of an indicator approach, the climate vulnerability index (CVI). We show how this can overcome some of the difficulties of incommensurability associated with the combination of different types of data, and how the approach can be applied at a variety of scales. Through the development of nested index values, more reliable and robust coverage of large areas can be achieved, and we provide an indication of how this could be done. While further work is required to improve the methodology through wider application and component refinement, it seems likely that this approach will have useful application in the assessment of climate vulnerability. Through its application at sub-national and community scales, the CVI can help to identify those human populations most at risk from climate change impacts, and as a result, resources can be targeted towards those most in need.


Author(s):  
Siyanbola A. Omitoyin ◽  
Adeniyi P. Ogungbure ◽  
Kemisola D. Osakuade

The study assessed the livelihood vulnerability of fisherfolks in both coastal and freshwater fishing communities of Ilaje Local Government area of Ondo state, Nigeria. Structured questionnaires were used to collect information from 200 fisherfolks from both communities. Data were analyzed using the descriptive statistics, Livelihood Vulnerability Index data were aggregated using a composite index and differential vulnerabilities were compared. The results showed that majority of the fisherfolks from freshwater and coastal communities were below 46 years old, respondents from the freshwater communities were 95% male, 5% females while all (100%) respondents in the coastal communities were male with majority assenting to fishing as their primary occupation. The freshwater communities showed greater vulnerability on the socio-demographic profile (SDP) index than coastal communities (SDP freshwater 0.49;SDPcoastal communities 0.34). Freshwater also showed greater vulnerability on the livelihood strategies component (0.45) than coastal communities (0.40). The social networks indicators were the same for the two communities. The overall health vulnerability score for freshwater communities (0.46) was higher than that for coastal communities (0.44).  Also, the overall food vulnerability score for freshwater households (0.23) was greater than that of coastal community households (0.22). Freshwater households had a lower vulnerability score (0.03) for the water component than coastal communities (0.17). Based on the incidents of flooding, droughts, storms and erosion, households in the coastal communities (0.50) were more vulnerable to natural disasters than those in the freshwater communities (0.41). Overall, coastal communities had a higher Livelihood Vulnerability Index (LVI) than freshwater (0.357 versus 0.356).This logical approach may be used to monitor vulnerability, programs and resources to assist fisherfolks. Also, there should be enlightenment on how to mitigate the factors enhancing climate change while good infrastructure and aids be given to those who suffer losses due to climate change impacts.


Author(s):  
C. S. Murthy ◽  
B. Laxman ◽  
M. V. R. Sesha Sai ◽  
P. G. Diwakar

Information on agricultural drought vulnerability status of different regions is extremely useful for implementation of long term drought management measures. A quantitative approach for measuring agricultural drought vulnerability at sub-district level was developed and implemented in the current study, which was carried-out in Andhra Pradesh state, India with the data of main cropping season i.e., kharif. The contributing indicators represent exposure, sensitivity and adaptive capacity components of vulnerability and were drawn from weather, soil, crop, irrigation and land holdings related data. After performing data normalisation and variance based weights generation, component wise composite indices were generated. Agricultural Drought Vulnerability Index (ADVI) was generated using the three component indices and beta distribution was fitted to it. Mandals (sub-district level administrative units) of the state were categorised into 5 classes – Less vulnerable, Moderately vulnerable, Vulnerable, Highly vulnerable and Very highly vulnerable. Districts dominant with vulnerable Mandals showed considerably larger variability of detrended yields of principal crops compared to the other districts, thus validating the index based vulnerability status. Current status of agricultural drought vulnerability in the state, based on ADVI, indicated that vulnerable to very highly vulnerable group of Mandals represent 54 % of total Mandals and about 55 % of the agricultural area and 65 % of the rainfed crop area. The variability in the agricultural drought vulnerability at disaggregated level was effectively captured by ADVI. The vulnerability status map is useful for diagnostic analysis and for formulating vulnerability reduction plans.


2019 ◽  
pp. 251660261986062
Author(s):  
P. X. Phu ◽  
N. N. De

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.


2020 ◽  
Vol 101 (1) ◽  
pp. 39-57
Author(s):  
A. D. Rao ◽  
Puja Upadhaya ◽  
Hyder Ali ◽  
Smita Pandey ◽  
Vidya Warrier

2019 ◽  
Vol 11 (22) ◽  
pp. 6302 ◽  
Author(s):  
Misganaw Teshager Abeje ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Zerihun Nigussie ◽  
Enyew Adgo ◽  
...  

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.


Author(s):  
Terese E. Venus ◽  
Stephanie Bilgram ◽  
Johannes Sauer ◽  
Arun Khatri-Chettri

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.


2020 ◽  
Vol 724 ◽  
pp. 138082 ◽  
Author(s):  
Isha Das ◽  
Valentina Lauria ◽  
Susan Kay ◽  
Ignacio Cazcarro ◽  
Iñaki Arto ◽  
...  

2021 ◽  
Vol 3 (2) ◽  
pp. 37-45
Author(s):  
B. A. Ocheni ◽  
M. A. Ndanitsa ◽  
K. M. Baba ◽  
M. A. Ojo

Vulnerability assessments to climate change are a possible criterion for adaptation and have a long history on multidisciplinary research. Identification and assessing the degree of vulnerability as a result of climate change is an essential pre-requisite for reducing climate change impacts. The study focuses on vulnerability of rice farmers to climate change in Kogi State, Nigeria. Data for the study were obtained from primary and secondary sources with the aid of structured questionnaire administered to 123 rice farmers from across the four agricultural zones in the State. A total of 15 environmental and socio-economic indicators were identified and analyzed to measure vulnerability status in the agricultural zones. Composite Climate Change Vulnerability Index computed from the hazards, sensitivity and adaptive capacity components revealed that all the rice farmers’ were vulnerable to climate change but vary in the degrees of vulnerability. Scores of Exposure-Sensitivity Index (ESI) suggest that rice farmers in Owolikpa and Igalaogba were most prone and susceptible to climate change whereas, Baganna, Ikande, Odoepe, and Iluke were least exposed and sensitive to climate change. Kpancehe, Kakanda, Girinya, Eggan,and Aiyetoro were categorized under very high to high degree of vulnerability while Iya, Baganna and Echa were rated low vulnerable to climate change. These prioritized areas, based on rank and degree of vulnerability, should be given immediate consideration, and measures should be taken by internalizing region specific needs to address the growing challenge of climate change.


2021 ◽  
Author(s):  
Ibolya Török ◽  
Adina-Eliza Croitoru ◽  
Titus-Cristian Man

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.


Sign in / Sign up

Export Citation Format

Share Document