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This study aims to examine peoples’ perception of climate change. It assessed their attitude, behavioural motivation for mitigating and adapting to climate change in the two capital cities of South Asia: Islamabad in Pakistan and Dhaka in Bangladesh.

This study used the quantitative research technique based on responses of 800 close-ended questions embedded in a close-ended questionnaire, which were filled-out from randomly selected sample of respondents. The primary data was analysed and presented through tabulation. For binary dependent variables, the standardised logistic coefficients were projected for more reliable estimates.

The findings reveal that the population of both capital cities have a low personal perception of climate change. Also, the dwellers of both cities have a low level of motivation to take mitigative and adaptive measures against climatic hazards. The results of the logistic regression model further indicate that the people who believe that climate change is a threat to their lives are more likely to adopt mitigative and adaptive strategies. This mostly applies to the people with a relatively higher income and education level.

This study implies to create awareness and sensitise the local community in both the capitals and beyond through information dissemination. Further, the availability of toolkits to handle emergencies remains imperative in registering attitudinal and behavioural changes to reduce the impacts of climate variability in poor localities.

This research study analysed the link between climate change mitigation and energy conservation from the societal attributes of perception, motivation, attitude and behaviour, which remains essential for community-based mitigation against climatic hazards.

Cities are both at risk and the cause of risk. The interconnectedness of urban features and systems increases the likelihood of complex disasters and a cascade or “domino” effect from related impacts. However, the lack of research means that our knowledge of urban risk is both scarce and fragmented. Against this background, the purpose of this paper is to examine the unique dynamics of risk in urban settings.

Based on literal reading, grounded theory and systems analysis, this conceptual paper presents a framework for understanding and addressing urban risk. It conceptualizes how interdependent, interconnected risk is shaped by urban characteristics and exemplifies its particularities with data and analysis of specific cases. From this, it identifies improvements both in the content and the indicators of the successor to the Hyogo Framework for Action (HFA2) that will be adopted in 2015.

While it is common to see disasters as “causes”, and the destruction of the built environment as “effects”, this paper highlights that the intricate links between cities and disasters cannot be described by a unidirectional cause-and-effect relationship. The city–disasters nexus is a bidirectional relationship, which constantly shapes, and is shaped by, other processes (such as climate change).

This paper argues that in-depth knowledge of the links between cities’ characteristic features, related systems and disasters is indispensable for addressing root causes and mainstreaming risk reduction into urban sector work. It enables city authorities and other urban actors to improve and adapt their work without negatively influencing the interconnectedness of urban risk.

This paper presents a framework for understanding and addressing urban risk and further demonstrates how the characteristics of the urban fabric (physical/spatial, environmental, social, economic and political/institutional) and related systems increase risk by: intensifying hazards or creating new ones, exacerbating vulnerabilities and negatively affecting existing response and recovery mechanisms.

The purpose of this paper is to focus on the local-level initiatives through coastal afforestation, the natural and socio-economic context of the study area (Hatiya Upazila of Noakhali District, Bangladesh) and the adaptation and DRR strategies generated through coastal afforestation in coastal Bangladesh.

Field observations, focus group discussions (FGDs), semi-structured interviews, and transects were accomplished in both the dry and wet season. Spatial database generated and land use mapping integrated social and technical investigation. Five FDG sessions with participants from different livelihood options (fishermen, farmers and social representatives) were organised and, on average, 15~18 participants participated in each participatory session.

Mangrove plantation can be used to access new land and create alternative livelihoods, which are important for local community adaptation and to reduce disaster risks. Mangrove plantations provide chances for new land management options to be developed for use in Bangladesh.

This study was conducted only at the south-central coastal district of Bangladesh. Data collection to summarise all the socio-economic issues is limited.

This paper can be used for the integration of geospatial and social research techniques to understand the community approach to fight against climate change-induced impacts.

The research is solely conducted by the authors. The conducted approach is a blend of social and technical knowledge and techniques in generating community resilience at the south-central coast of Bangladesh.

This study aims to identify the economic impact of a potential implementation of a Climatic Reserve for the Swiss predominant white grape variety (Chasselas) vinified in the AOC (controlled designation of origin) category. The Climatic Reserve would imply the possibility of harvesting an additional quantity of grapes whose commercialization in wine would be delayed until it is approved by the relevant authority.

The impact of a potential implementation of this wine supply management tool is simulated through an innovative method that combines the vector autoregressive (VAR) model to estimate the influence of the previous consumptions and productions on the current consumption and linear regression [ordinary least square (OLS) method] to estimate the price elasticity to measure the evolution of the price depending on the simulated consumption. The VAR model is based on state-level data about production, stocks, and consumption (all the channels of distribution combined), while the OLS regression for estimating price elasticity uses the retail market data (Nielsen Panel). With the sales and price variables on a monthly frequency design, the latter represents about 40% of the wine market in Switzerland.

According to simulations carried out at the level of a region from the canton of Vaud in Switzerland (2000–2018), the increase in turnover linked to the release of the Climatic Reserve would be +3.1% for the indigenous white grape variety Chasselas.

The Climatic Reserve is a wine supply management tool that could complement the existing yield restriction, which does not significantly influence the quantities sold, according to previous studies. Our paper contributes to the literature by demonstrating the economic advantage of this supply management tool to deal with the increasingly frequent climatic hazards in wine production and market. The methodology could be applied to other wine regions (contexts) or other agricultural sectors.

This study was conducted to assess the socio-economic implications of climate change on the three ecological regions of Lesotho. In the view that climate change is affecting agriculture, subsistence communities are at risk. The paper aims to discuss these issues.

Two villages were randomly selected from three regions of Lesotho and at least 40 households in each region. The full range of economic activities undertaken was covered to understand how climate affects the communities, and how they are. A livelihood sensitivity matrix was used to determine which resources and livelihoods are most vulnerable to different types of climatic hazards and how the different livelihood activities are impacted by different climate hazards.

A large percentage of the community (>95 percent) was aware of the changing climate and the effects on land productivity. Food crops are the most vulnerable to weather, followed by soil and livestock. Climate variables of major concern were hail, drought and dry spells which reduced crop yields.

This research is important especially to policy makers to make informed decisions in as far as climate change response strategies in Lesotho are concerned. This research thus gives a baseline on these climate change impacts on subsistence communities.

Heavy rainfall is one of the main causes of the degradation of historic rammed Earth architecture. For this reason, ensuring the conservation thereof entails understanding the factors involved in these risk situations. The purpose of this study is to research three past events in which rainfall caused damage and collapse to historic rammed Earth fortifications in Andalusia in order to analyse whether it is possible to prevent similar situations from occurring in the future.

The three case studies analysed are located in the south of Spain and occurred between 2017 and 2021. The hazard presented by rainfall within this context has been obtained from Art-Risk 3.0 (Registration No. 201999906530090). The vulnerability of the structures has been assessed with the Art-Risk 1 model. To characterise the strength, duration, and intensity of precipitation events, a workflow for the statistical use of GPM and GSMaP satellite resources has been designed, validated, and tested. The strength of the winds has been evaluated from data from ground-based weather stations.

GSMaP precipitation data is very similar to data from ground-based weather stations. Regarding the three risk events analysed, although they occurred in areas with a torrential rainfall hazard, the damage was caused by non-intense rainfall that did not exceed 5 mm/hour. The continuation of the rainfall for several days and the poor state of conservation of the walls seem to be the factors that triggered the collapses that fundamentally affected the restoration mortars.

A workflow applied to vulnerability and hazard analysis is presented, which validates the large-scale use of satellite images for past and present monitoring of heritage structure risk situations due to rain.

The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective adaptive strategies and actions.

A multi-scale analytical tool and hazard-generic socio-economic indicators were developed to identify and prioritise the most vulnerable households and districts in Northwest Ethiopia. Categorical principal component analysis with 36 indicators was used to develop weights for different indicators and construct a household intrinsic vulnerability index. Data were collected through key information interviews, focus group discussions and a household survey with 1,602 randomly selected households in three districts of Northwest Ethiopia.

Drawing on intrinsic vulnerability index computation, this study highlights that low levels of education, low access to climate information and credit services, long distance travelled to fetch water and frequent food shortages are the dominant factors contributing to high levels of intrinsic vulnerability at district level, while lack of livelihood support and income diversification are the key drivers of vulnerability at household level. The findings of this study further show that the majority of households (78.01%) falls within the very high to moderately high vulnerable category. Disaggregating the data according to agro-climatic zones highlights that the prevalence of high intrinsic vulnerability is most widespread in the lowland agro-climatic zone (82.64%), followed by the highland (81.97%) and midland zones (69.40%).

From a policy intervention vantage point, addressing the drivers of vulnerability provides a reliable approach to reduce the current vulnerability level and manage potential climate change-induced risks of a system. Specifically, reliable information on inherent vulnerability will assist policymakers in developing policies and prioritising actions aimed at reducing vulnerability and assisting in the rational distribution of resources among households at a local level.

This study contributes to the existing vulnerability literature by showing how hazard-generic socio-economic indicators in the vulnerability assessment adopted by the IPCC (2014) are important to identify drives of vulnerability which ultimately may feed into a more fundamental treatment of vulnerability.

This paper aims to examine the contribution of forests resource systems to the different aspects of community well-being, the implications of climate variability on the different sources of well-being and further identifies direct and indirect social and policy opportunities relevant for communities to enhance their capabilities in the face of climate variability and change in the Tri-National de la Sangha landscape of Cameroon.

It illustrates on data collected from focus group discussions and from 151 households randomly selected in three villages to operationalize the conceptual links between community well-being and vulnerability.

The study shows that vulnerability to climate change interferes with community strategies to achieve well-being, in addition to non-climatic processes which are both internal and external to communities. The study further indicates that healthy forest ecosystems provide opportunities for the local folks to build assets, improve food security, improve health and reduce risks. However, this requires capacity building and the channeling of resources to the local level, in addition to win–win sectoral policy amendments.

Biophysical methods required to complement community perceptions on the suitability of forest resource systems to climate variability.

This paper argues that appropriate strategies which aim at improving well-being needs to capture the role of forest ecosystems, climate change risks and uncertainty and macroeconomic and social processes.

This study contributes to the literature on the relationship between climate risk and the well-being of forest communities. This is relevant for practitioners and policy makers to reflect on the risk of climate change and the rationale for conserving forest resources for community well-being in the post-2015 Millennium Development Goals conclusions.

“No climate change, no climate refugees”. On the basis of this theme, this paper aims to propose a method for undertaking the responsibility for climate refugees literally uprooted by liable climate polluting countries. It also considers the historical past, culture, geopolitics, imposed wars, economic oppression and fragile governance to understand the holistic scenario of vulnerability to climate change.

This paper is organized around three distinct aspects of dealing with extreme climatic events – vulnerability as part of making the preparedness and response process fragile (past), climate change as a hazard driver (present) and rehabilitating the climate refugees (future). Bangladesh is used as an example that represents a top victim country to climatic extreme events from many countries with similar baseline characteristics. The top 20 countries accounting for approximately 82 per cent of the total global carbon dioxide (CO₂) emissions are considered for model development by analysing the parameters – per capita CO₂ emissions, ecological footprint, gross national income and human development index.

Results suggest that under present circumstances, Australia and the USA each should take responsibility of 10 per cent each of the overall global share of climate refugees, followed by Canada and Saudi Arabia (9 per cent each), South Korea (7 per cent) and Russia, Germany and Japan (6 per cent each). As there is no international convention for protecting climate refugees yet, the victims either end up in detention camps or are refused shelter in safer places or countries. There is a dire need to address the climate refugee crisis as these people face greater political risks.

This paper provides a critical overview of accommodating the climate refugees (those who have no means for bouncing back) by the liable countries. It proposes an innovative method by considering the status of climate pollution, resource consumption, economy and human development rankings to address the problem by bringing humanitarian justice to the ultimate climate refugees.