Social Adaptive Capacity Research Articles

The Sociological Implications of Climate Change: Community Adaptation and Resilience

Purpose: The general objective of the study was to explore the sociological implications of climate change, that is, community adaptation and resilience. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the sociological implications of climate change. Preliminary empirical review revealed that sociological perspectives are crucial for understanding and addressing climate change challenges. It emphasized the significance of social capital, participatory approaches, and context-specific strategies in enhancing community resilience. By examining the interplay between social dynamics, power relations, and adaptive capacities, the study highlighted the importance of addressing socio-economic disparities and fostering collaboration among diverse stakeholders. Overall, it underscored the need for holistic and transformative approaches to climate change adaptation that integrate social, ecological, and economic dimensions. Unique Contribution to Theory, Practice and Policy: The Social Capital theory, Risk Society theory and Ecological Modernization theory may be used to anchor future studies on the sociological implications of climate change. The study provided valuable recommendations that contributed to theory, practice, and policy. It emphasized the integration of sociological perspectives into climate change adaptation, highlighting the role of social networks, cultural norms, and power dynamics. Practical implications included advocating for community-based approaches, participatory decision-making, and knowledge co-production activities. At the policy level, the study underscored the importance of mainstreaming social considerations into climate change policy frameworks, promoting equity and participatory governance. Recommendations for future research included exploring socio-economic drivers of vulnerability, conducting longitudinal studies, and advancing interdisciplinary research agendas to inform evidence-based strategies for building resilient communities.

Dimensions of cultural sustainability—Local adaptation, adaptive capacity and social resilience

Cultural sustainability relates to sustainable development. According to UNESCO “culture provides the necessary transformative dimension that ensures the sustainability of development processes.” Originally sustainable development was defined through three dimensions-ecological, economic and social dimension. Further, the social dimension has been understood in multiple ways often accentuating socio-economic assets of development rather than socio-cultural capacities. Eventually, there has been an increasing interest in defining cultural sustainability as a fourth pillar of sustainable development. While becoming aware of the contemporary supranational risks such as climate change, COVID 19-pandemia or escalating military conflicts, sustainable development can hardly be envisioned in terms of linear progress but rather considered with anticipation of eventual shocks, interruptions, and vulnerabilities related to development. In this perspective, cultural sustainability can be increasingly associated with identifying vulnerabilities and with envisioning attainable measures of adaptation. This article addresses the complex issue of defining cultural sustainability through lenses of social resilience and adaptive capacity at local level.

Identifying opportunity hot spots for reducing the risk of wildfire-caused carbon loss in western US conifer forests

The escalating climate and wildfire crises have generated worldwide interest in using proactive forest management (e.g. forest thinning, prescribed fire, cultural burning) to mitigate the risk of wildfire-caused carbon loss in forests. To estimate the risk of wildfire-caused carbon loss in western United States (US) conifer forests, we used a generalizable framework to evaluate interactions among wildfire hazard and carbon exposure and vulnerability. By evaluating where high social adaptive capacity for proactive forest management overlaps with carbon most vulnerable to wildfire-caused carbon loss, we identified opportunity hot spots for reducing the risk of wildfire-caused carbon loss. We found that relative to their total forest area, California, New Mexico, and Arizona contained the greatest proportion of carbon highly vulnerable to wildfire-caused loss. We also observed widespread opportunities in the western US for using proactive forest management to reduce the risk of wildfire-caused carbon loss, with many areas containing opportunities for simultaneously mitigating the greatest risk from wildfire to carbon and human communities. Finally, we highlighted collaborative and equitable processes that provide pathways to achieving timely climate- and wildfire-mitigation goals at opportunity hot spots.

Assessing Social Vulnerability to Climate Change in a Fishery-Dependent Village in South Central Vietnam

Fishery-dependent communities are highly susceptible to the impacts of climate change due to their proximity to vulnerable coastal areas and reliance on ecosystem services for their livelihoods. The study assessed the effects of climate change on the socioeconomic livelihoods and adaptive capacity of Xuan Tu, a community located in South Central Vietnam. The assessment employed the social vulnerability index (SVI) and adaptive capacity index (ACI). A hybrid data collection approach was utilized to gather information from households, and a composite method was employed to aggregate the data, enabling an assessment of community vulnerability. The findings indicated exposure, sensitivity, and adaptive capacity index values of 0.16, 0.34, and 0.26, respectively. The community exhibited a moderate vulnerability to climate change, with a social vulnerability index of 0.43. Notably, economic sufficiency, access to social groups, and level of education emerged as significant factors in reducing social vulnerability. To adapt to climate change, the community modified their fish feeding practices, fish culture methods, increased technology usage, and diversified their sources of income. However, the study identified a lack of institutional support as a significant obstacle to the community's autonomous adaptation. Based on these results, the study recommends livelihood diversification and the implementation of planned adaptation strategies to enhance preparedness for climate emergencies in South Central Vietnam.

Are Agricultural Households Resilient to Food Insecurity in Nigeria?

Food insecurity remains a threat to Nigerians especially agricultural households who are the most vulnerable. This study focuses on the structure of the resilience of agricultural households to food insecurity in Nigeria using the World Bank‘s Living Standard Measurement Studies Integrated Survey on Agriculture (LSMS-ISA), covering four rounds (2010/2011, 2012/2013, 2015/2016 and 2018/2019) using a total of 4975, 4394, 4226 and 4797 households respectively. Data were analysed using Descriptive Statistics, Multiple Indicators Multiple Causes Model and the Random Effects Probit model. The pillars of resilience to food insecurity among agricultural households include access to basic services, asset, agricultural practice and technology, social safety net, adaptive capacity and stability. Results showed that only about 34% of households were resilient to food insecurity during the periods under review. The most essential determinants affecting food insecurity resilience are access to basic services, assets, stability, adaptive capacity and social safety net. Age of household head, livelihood strategy employed, geo-political zones and location of residence significantly influence food insecurity resilience of households. Farmers’ income and food access must be improved as well as their adaptive capacity to food insecurity in order to help them become more resilient to food insecurity and inevitably help in achieving the Sustainable Development goal two of ending hunger in all its forms and improving food security which is one of the main policy thrust of the Nigeria’s economic and sustainability plan and the National Development Plan.

Household resilience capacity and food security: evidence from Kyrgyzstan

AbstractCommonly, resilience against external shocks is treated as a household or community capacity. Resiliency against food insecurity is of particular importance for rural household under the impression of recent price surges and supply chain disruptions. The aim of this paper is to analyze the effect of household resilience capacity on food security outcomes in Kyrgyzstan, using individual, household and community datasets of the “Life in Kyrgyzstan” panel survey for several waves from 2011 to 2016. Firstly, a resilience capacity index to food insecurity was estimated through key determinants or pillars under the Resilience Index Measurement and Analysis (RIMA) II methodology, while latent analysis was used to classify shocks. The effect of resilience capacity on food security outcomes was estimated along an instrumental variable approach. Our results suggest that resilience capacity serves to improve food security status and decrease the proneness of households to suffering from food insecurity in the presence of shocks. Furthermore, the interaction between resilience capacity and shocks was included to explain whether the negative effect of the shocks is weakened by resilience. The findings confirm that resilience capacity is able to mitigate the adverse effects of shocks on food security outcomes; moreover, it is sufficient to resist a decline in food security. Following the large contributions of social safety nets and adaptive capacity to the resilience capacity index, policy efforts should be focused on increasing income generating capacity, networking, migration, and education level of households to strengthen resilience to food insecurity.

Developing micro level resilience index for Indian Sundarban adopting resilience indicators for measurement and analysis (RIMA) methodology

• Communities along West Bengal coast devastated by cyclone-induced multi-hazards. • To comprehend the resilience strategy, four pillars of RIMA-II have been explored. • Villages affected differently and bounce back diversely. • Vulnerability and risk exposure are negatively correlated with the resilience index. Tropical cyclones induced multi-hazards have wreaked havoc on coastal communities in the last two-three years in coastal West Bengal, India. This research article aims to highlight the essence of these people's resilience to cyclone induced multi-scale hazards focusing on the Kakdwip Subdivision of Coastal West Bengal (Indian Sundarban Portion). Indicators in explaining RIMA-II, four pillars have been examined: Access to Basic Services (ABS), Assets (AST), Social Safety Nets (SSN) and Adaptive Capacity (AC). A total of 18 indicators from four pillars have been considered (6 from ABS, 4 from AST, 3 from SSN, and 5 from AC) and associated data has been gathered through a primary survey. In order to fully understand the village level scenario, the study has also used the Resilience Capacity Index (RCI). With the exception of Kuemuri, which is located in the far north-eastern part of the research area and is the most resilient, the study's findings show that the villages with a higher score (>56.81) are more resilient than others and are typically found in the section of Kakdwip Sub-northern Division. The least resilient settlements are clearly identified by their geomorphological location. Additionally, the resilience index shows a favourable relationship with the demographic index and a negative relationship with vulnerability and hazard exposure.

A methodological framework for assessing pastoral socio-ecological system vulnerability: A case study of Altay Prefecture in Central Asia

Vulnerability analysis is important for enhancing sustainability, especially for highly interlinked pastoral socio-ecological systems. This study presents a modified methodological framework for assessing the vulnerability of pastoral socio-ecological systems based on the interactions between social and ecological subsystems and their vulnerabilities. Altay Prefecture (Northwest China), a typical pastoral area located in Central Asia, was chosen for the case study. The ecological vulnerability index (EVI) and socio-ecological vulnerability index (SEVI) of Altay Prefecture from 2001 to 2018 were assessed and classified into five levels. The results showed that the distribution pattern of EVI was spatially heterogeneous, with EVI increasing from north to south and from west to east. The EVI was high in low-altitude deserts, decreased with altitude rising from 1300 m to 2200 m, and increased when the altitude exceeded 2200 m. The average EVI increased from 2001 to 2010 and decreased from 2010 to 2018, with the highest EVI in 2010 and the lowest in 2018. The SEVI of western counties was lower than that of eastern counties; the SEVI of all counties continuously decreased from 2001 to 2018, with a higher rate from 2010 to 2018. Social adaptive capacity, increased by the policies that aim at protecting grasslands and improving livelihoods, was the main influencing factor of the SEVI dynamic. These results will help to identify key areas with high EVI for grassland ecosystem management and strengthen the adaptive capacity for addressing vulnerability. Furthermore, the presented methodological framework can be adopted in vulnerability assessments of similar pastoral areas or natural resource-based socio-ecological systems.

Geospatial assessment of agricultural drought vulnerability using integrated three-dimensional model in the upper Dwarakeshwar river basin in West Bengal, India.

The amount of agricultural drought vulnerability in an underdeveloped rain-fed agro-based economy at the local, regional, and national level is most prominent factor for measurement. The desiccation of rain in agricultural sector becomes apprehensive to intercontinental food supply chain. So, adequate investigation and development of sustainable agricultural methodology are key factors to sustain the food security of a territory. In this research, delineation of agricultural drought vulnerability (ADV) status has been carried out by multidimensional mixed-method index approach using remote sensing and geographic information system. An integrated three-dimensional model is utilized to enrich this study. The three indices of this model include exposure index (EI), sensitivity index (SI), and adaptive capacity index (ACI). The ACI has been constructed by combining the environmental adaptive capacity (EAC), social adaptive capacity (SAC), and economic adaptive capacity (EcAC) index. The 40 parameters for ADV modeling are picked up by analyzing meteorological, geo-environmental, social, and remote sensing data. There are six exposure parameters, seven sensitivity parameters, twelve environmental adaptive capacity parameters, six social adaptive capacity parameters, and nine economic adaptive capacity parameters. Each index has been computed by assigning the weights based on their relative importance by using the analytic hierarchy process (AHP) approach. Final results were classified into five vulnerability zones, e.g., very low, low, moderate, high, and very high covering an area 362.32 km2, 186.68 km2, 568.69 km2, 547.05 km2, and 266.89 km2 respectively. Results have been validated with long-term Aman paddy yield data (2004 to 2014) through the yield anomaly index (YAI). Finally, the model ADV is a good model fit (R square = 0.894) and all the relationships were found significant, when SI, EI, and ACI are considered its predictors. While SI (B = 0.391, p < 0.001) and EI (B = 0.223, p < 0.001) are positively associated with ADV, ACI is negatively associated with ADV (B = - 0.721, p < 0.001). This regional agricultural drought vulnerability model can be useful to identify drought-responsive areas and improve drought mitigation measures.

Climate change adaptation and adaptive efficacy in the inland fisheries of the Lake Victoria basin

Abstract Inland fisheries support the livelihoods of millions of people in riparian communities worldwide but are influenced by increasing climate variability and change. Freshwater fishing societies are among the most vulnerable to climate change given their dependence on highly threatened aquatic resources. As climate change intensifies, building adaptive capacity within communities and understanding the efficacy of adaptive strategies for maintaining household stability is essential for coping with ongoing social and environmental change. In this study, we examined household perceptions of climate change, livelihood impacts and responses to socio‐ecological changes in fishing‐dependent households in the Lake Victoria basin in Uganda, East Africa. Through a series of household surveys and focus group discussions in five fish landing sites, we assessed social adaptive capacity (SAC) based on 207 households and identified adaptive strategies that are effective for coping with climatic change. We found that people in fishing households are aware of environmental change but that most households do not have adaptive strategies that are efficacious for securing long‐term income and food security. We also investigated household demographics that contribute to SAC, examined links between SAC and adaptive efficacy and established potential routes towards developing effective adaptive approaches in small‐scale fisheries. This work contributes to a growing foundation of documented community‐based knowledge for building adaptive capacity in inland fisheries and the communities around the world that depend on them. Read the free Plain Language Summary for this article on the Journal blog.

Social-ecological vulnerability of fishing communities to climate change: A U.S. West Coast case study.

Climate change is already impacting coastal communities, and ongoing and future shifts in fisheries species productivity from climate change have implications for the livelihoods and cultures of coastal communities. Harvested marine species in the California Current Large Marine Ecosystem support U.S. West Coast communities economically, socially, and culturally. Ecological vulnerability assessments exist for individual species in the California Current but ecological and human vulnerability are linked and vulnerability is expected to vary by community. Here, we present automatable, reproducible methods for assessing the vulnerability of U.S. West Coast fishing dependent communities to climate change within a social-ecological vulnerability framework. We first assessed the ecological risk of marine resources, on which fishing communities rely, to 50 years of climate change projections. We then combined this with the adaptive capacity of fishing communities, based on social indicators, to assess the potential ability of communities to cope with future changes. Specific communities (particularly in Washington state) were determined to be at risk to climate change mainly due to economic reliance on at risk marine fisheries species, like salmon, hake, or sea urchins. But, due to higher social adaptive capacity, these communities were often not found to be the most vulnerable overall. Conversely, certain communities that were not the most at risk, ecologically and economically, ranked in the category of highly vulnerable communities due to low adaptive capacity based on social indicators (particularly in Southern California). Certain communities were both ecologically at risk due to catch composition and socially vulnerable (low adaptive capacity) leading to the highest tier of vulnerability. The integration of climatic, ecological, economic, and societal data reveals that factors underlying vulnerability are variable across fishing communities on the U.S West Coast, and suggests the need to develop a variety of well-aligned strategies to adapt to the ecological impacts of climate change.

Defining population socio-economic characteristics, hazard knowledge and risk perception: The adaptive capacity to persistent volcanic threats from Semeru, Indonesia

The densely populated and persistently active volcano of Semeru in East Java, Indonesia, hosts communities able to adjust to, compensate for, and tolerate continuous exposure to persistent volcanic threats. The goal of this research is to understand how, so that the knowledge can contribute to preparedness and support emergency management. We use surveys at the village scale and statistical analyses to explore the socioeconomic characteristics of communities. We aimed to appraise how dense, rural/urban populations around a continuously active volcano can compensate for daily hardships and limited access to resources, which prevent post-eruption recovery. We found that sustainable, rural livelihood providing food and small-income jobs, diversified resources from ecological belts, new alternatives and temporary work migrations all compensate, while recurrent experiences on hazardous events may harness social adaptive capacity. What renders the majority of villagers around Semeru resilient to chronic threats lies in solidarity networks, cultural beliefs, trust in early warning and access to vital resources in case of crisis. Conservative, top-down risk management policies in Indonesia combined with obstacles that limit the adaptive capacity of communities results in disaster preparedness prior to large eruptions being too slow, with the subsequent management likely to be inefficient. The conservative risk management policy likely suffices during periods of mild activity, but it may lead to future disasters in case of large eruptions or destructive lahars. The case study of population adaptive capacity thus provides a frame of reference for other disaster-prone countries.

Integrating Social Learning, Adaptive Capacity and Climate Adaptation for Regional Scale Analysis: A Conceptual Framework.

The impact of climate-related changes on northern Canada's renewable resource sectors makes bolstering adaptive capacity an urgent imperative throughout the region. Although social learning is a key ingredient of adaptive capacity, our understanding of the relationships among social learning, adaptive capacity, and climate change adaptation is limited. Building on previous conceptual and empirical studies, this paper develops a framework that clarifies the interactions among social learning, adaptive capacity and climate change adaptation pertinent to a regional scale of analysis. The framework is multi-layered and consists of different levels of governing variables, units of analysis, learning outcomes and climate change adaptations. It is also integrative in that it encompasses social learning motivations, context and process factors, and outcomes, along with key determinants of adaptive capacity. A post hoc assessment of two climate change disturbances in northern boreal resource systems reveals the applicability of the framework to a regional scale analysis.

Exploring the Structure and Interrelations of Time-Stable Psychological Resilience, Psychological Vulnerability, and Social Cohesion.

The current study explores the relationship between three constructs of high relevance in the context of adversities which have, however, not yet been systematically linked on the level of psychological dispositions: psychological vulnerability, psychological resilience, and social cohesion. Based on previous theoretical and empirical frameworks, a collection of trait questionnaires was assessed in a Berlin sample of 3,522 subjects between 18 and 65 years of age. Using a confirmatory factor analytical approach, we found no support for a simple three-factor structure. Results from exploratory structural analyses suggest that instead of psychological resilience and psychological vulnerability constituting two separate factors, respective indicators load on one bipolar latent factor. Interestingly, some psychological resilience indicators contributed to an additional specific latent factor, which may be interpreted as adaptive capacities, that is, abilities to adapt to changes or adjust to consequences of adversities. Furthermore, instead of evidence for one single social cohesion factor on the psychological level, indicators of perceived social support and loneliness formed another specific factor of social belonging, while indicators of prosocial competencies were found to form yet another distinct factor, which was positively associated to the other social factors, adaptive capacities and social belonging. Our results suggest that social cohesion is composed of different independent psychological components, such as trust, social belonging, and social skills. Furthermore, our findings highlight the importance of social capacities and belonging for psychological resilience and suggest that decreasing loneliness and increasing social skills should therefore represent a valuable intervention strategy to foster adaptive capacities.

Perceived Changes in Social Connectedness Across the Life Course: A Mixed Method Approach.

Social connection is important across the life course, but overall levels have been declining. The COVID-19 pandemic presented a unique context to examine social connectedness and adaptive capacity in times of social adversity. We used a parallel mixed method design to collect online survey data from a representative U.S. sample (N = 359). Applying an exploratory sequential approach, we used a general linear model multivariate approach to repeated measures to test for differences in participants' perceptions of social connectedness by time and age category and qualitative analysis to gain insights about disrupted social contexts. Results indicated that social connectedness decreased after mitigation restrictions for all age groups, but individuals in emerging and late adulthood felt the greatest impact. Two themes emerged: differing emotional responses to altered communication and intentionality of maintaining and/or creating social connections. Experiences of social connectedness need to be understood as a function of life stage and developmental timing.

Hotspots for social and ecological impacts from freshwater stress and storage loss

Humans and ecosystems are deeply connected to, and through, the hydrological cycle. However, impacts of hydrological change on social and ecological systems are infrequently evaluated together at the global scale. Here, we focus on the potential for social and ecological impacts from freshwater stress and storage loss. We find basins with existing freshwater stress are drying (losing storage) disproportionately, exacerbating the challenges facing the water stressed versus non-stressed basins of the world. We map the global gradient in social-ecological vulnerability to freshwater stress and storage loss and identify hotspot basins for prioritization (n = 168). These most-vulnerable basins encompass over 1.5 billion people, 17% of global food crop production, 13% of global gross domestic product, and hundreds of significant wetlands. There are thus substantial social and ecological benefits to reducing vulnerability in hotspot basins, which can be achieved through hydro-diplomacy, social adaptive capacity building, and integrated water resources management practices.

Exploring crisis governance: Quest for functional resilience during COVID-19 in Lithuania

An effective, timely managed and interoperable governance process and its adaptive features are of the utmost importance in dealing with any type of crisis at the state level. This article explores civil society actors’ engagement in Lithuania to identify the functional resilience level in crisis governance of COVID-19. Social capital and adaptive capacity approaches were employed for theoretical consideration and analysis. We hypothesise that linking social capital is more important for enhancing resilience at the beginning of the crisis, while adaptive capacity gains prominence during and after the crisis. Mixed analysis methods were used in gathering data through content analysis, surveys (standardised questionnaires) and interviews with experts from civic (voluntary and non-governmental) and public (local and central government) sectors. The findings provide novel insights into the importance of civil society actors’ engagement in bolstering functional resilience and embedment of a whole of society approach in crisis governance during times of uncertainty.

Adaptation, coping strategies and resilience of agricultural drought in South Africa: implication for the sustainability of livestock sector

Agricultural drought has put sub-Saharan African under significant pressure, and without adaptation, will negatively influence a future generation. Hence, it is crucial to assess the adaptation and coping strategies, the resilience of agricultural drought, its implication on the sustainability of the livestock sector, and developing future interventions. Data of 217 smallholder livestock farmers were used in a principal component analysis to estimate the agricultural drought resilience index as an outcome variable against social wellbeing, economic outcome, environmental variable and adaptive capacity variables. The results found that 21% of the livestock farming households sold their livestock as an adaptation and coping strategy. In contrast, 20% of the farming households used alternative land use as an adaptation, and coping strategy, 20% stored food, 17% asked for animal feed, 6% sought employment, 6% migrated, 5% kept drought-tolerant breeds, 3% received relief grants, 2% used their savings and investments, and 1% leased their farms. When natural, economic and social sustainability was viewed as a resilience process, the three pillars positively and significantly impacted households' agricultural drought resilience. This implied that the more smallholder farmers participated in social networks and cooperatives, the higher the resilience to agricultural drought. Further, the more resources, income, access to land, access to water, access to credit, and additional types of farming, the higher the households’ resilience to agricultural drought and adaptive capacity. Thus, the three pillars of sustainability are crucial for enhancing the resilience and adaptability of smallholder livestock farmers. The study recommends that government aid reduce vulnerability to agricultural drought via access to agricultural credit and encourage farmers to be part of social networks and cooperatives. Additionally, the government could improve access to land and water rights to boost the resilience of smallholder farmers to agricultural drought. This could be achieved through collaboration and coordination among all role players.

Blue Carbon Ecosystem Services Through a Vulnerability Lens: Opportunities to Reduce Social Vulnerability in Fishing Communities

Ecosystem services (ES) are benefits nature provides to humans; these services change in space and time and are largely dependent on context. Coastal habitat that provides key ES are blue carbon ecosystems, namely seagrass and mangroves. One important ES they provide is the provisioning of seafood, which benefits coastal populations with livelihoods and food security. We employed a social-ecological approach that draws from the vulnerability literature for social, ecological, and economic criteria to map ES provision in ten communities on Busuanga Island, Palawan Province, Philippines. We assess the spatial dynamics of ES provision for small-scale fisheries in seagrass and mangroves, in relation to local beneficiaries. Using a mixed-methods approach with ecological assessments of seagrass beds, spatial analysis, landing surveys, household and key informant interviews, we overlaid biophysical variables on social data, mapping sensitivities and adaptive capacities to compare communities’ social vulnerabilities. Spatial analysis revealed healthy blue carbon ecosystems in ten local communities (barangays) as measured by proportion of coastline covered, low patchiness and high continuity along the coastline, and the presence of adjacent habitat. We found seagrass ecosystems were more vulnerable than mangroves. Rural barangays had less exposure and lower sensitivity to blue carbon ecosystem loss than urban barangays. Blue carbon ecosystem fisheries are highly sensitive fisheries, due to their catch composition and low catch per unit effort, with mangrove fisheries having a slightly lower sensitivity than seagrass fisheries due to greater catch per unit effort. Diversified livelihoods and the presence of NGOs and People’s Organizations (POs) increased adaptive capacity and reduced overall vulnerability. We aim to highlight a coastal human community’s relationship with blue carbon ecosystems using context-specific vulnerability criteria. Our site-specific social vulnerability assessment may be adapted for use in other coastal communities within the coral triangle. This work suggests opportunities for conservation interventions to manage local communities’ sensitivities and adaptive capacity around the use of blue carbon ecosystems.

Determining the Resilience of Rural Households to Food Insecurity during Drought Conditions in Fars Province, Iran

Climate change and drought have greatly affected the food security of rural families. Regarding to importance of the resilience approach in food security, this study aimed to examine the resiliency determinant factors based on six indicators included income and food access, access to basic services, assets, social safety net, adaptive capacity, and stability. The above-mentioned indicators were extracted from the food and agricultural organization’s resilience index. This research was of the survey type, and data were collected from a sample of population based on a stratified random sampling. The sample population was 270 respondents from the Fars province who faced food insecurity due to drought. Based on the factorial analysis, the model presented in this research had a high predictability of resilience among rural households. The validity and reliability of this model were tested and verified. The results showed that the stability variable was considered the most important resiliency determinant toward food insecurity. Cluster analysis suggested two groups: high- and low-resilience households. The results revealed that more than half of rural families had a lower resilience to food insecurity, while less than 45 percent of rural households in this study had higher resiliency, which was characterized by a series of features. The verified model in this study identified a standard framework for assessing the resiliency of households to cope with food insecurity and to recover from shocks related to drought.