A growing body of literature argues that subjective factors can more accurately explain individual adaptation to climate change than objective measurers of adaptive capacity. Recent studies have shown that personal belief in climate change and affect are much better in explaining climate awareness and action than income, education or gender. This study focuses on the process of individual adaptation to climate change. It assesses and compares the influence of cognitive, experiential and structural factors on individuals' views and intentions regarding climate change adaptation. Data from this study comes from a survey with 836 forest owners in Sweden. Ordinal and binary logistic regression was used to test hypotheses about the different factors. Results show that cognitive factors-namely personal level of trust in climate science, belief in the salience of climate change and risk assessment-are the only statistically significant factors that can directly explain individuals' intention to adapt to climate change and their sense of urgency. Findings also suggest that structural or socio-demographic factors do not have a statistically significant influence on adaptation decision-making among Swedish forest owners. The study also offers valuable insights for communication interventions to promote adaptation. Findings strongly suggest that communication interventions should focus more strongly on building trust and addressing stakeholders' individual needs and experiences.

Purpose The purpose of this paper is to advance the dialogue between the disaster risk reduction (DRR) and adaptation community by investigating their differences, similarities and potential synergies. The paper examines how DRR and adaptation can inform development to tackle the underlying drivers of disaster risk. Design/methodology/approach Based on a risk-based approach to the management of climate variability and change, the paper draws from a critical review of the literature on DRR and adaptation. The study finds that known and emerging risk from disasters continues to increase dramatically in many parts of the world, and that climate change is a key driver behind it. The authors also find that underlying causes of social vulnerability are still not adequately addressed in policy or practice. Linking DRR and adaptation is also complicated by different purposes and perspectives, fragmented knowledge, institutions and policy and poor stakeholder coordination. Findings The author’s analysis suggests that future work in DRR and adaptation should put a much greater emphasis on reducing vulnerability to environmental hazards, if there is truly a desire to tackle the underlying drivers of disaster and climate risks. Originality/value This will require coherent political action on DRR and adaptation aimed at addressing faulty development processes that are the main causes of growing vulnerability. The study concludes with a first look on the new Sendai Framework for Disaster Risk Reduction and how it aims to connect with adaptation and development.

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Adaptation to climate change, particularly flood risks, may come to pose large challenges in the future and will require cooperation among a range of stakeholders. However, there presently exists little research especially on the integration of the private sector in adaptation. In particular, recently developed state programs for adaptation have so far been focused on the public sector. Insurance providers may have much to contribute as they offer other parts of society services to appropriately identify, assess and reduce the financial impacts of climate change-induced risks. This study aims to explore how the institutional distribution of responsibility for flood risk is being renegotiated within the UK, Germany and Netherlands. Examining how the insurance industry and the public sector can coordinate their actions to promote climate change adaptation, the study discusses how layered natural hazard insurance systems may result from attempts to deal with increasing risks due to increasing incidences of extreme events and climate change. It illustrates that concerns over the risks from extreme natural events have prompted re-assessments of the current systems, with insurance requiring long-term legislative frameworks that defines the objectives and responsibilities of insurers and the different political authorities.

Climate change is expected to significantly affect forestry in the coming decades. Thus, it is important to raise awareness of climate-related risks -and opportunities -among forest stakeholders, and engage them in adaptation. However, many social barriers have been shown to hinder adaptation, including perceptions of climate change as irrelevant or not urgent, underestimates of adaptive capacity and lack of trust in climate science. This study looks into how science-based learning experiences can help overcome social barriers to adaptation, and how learning in itself may be hindered by those barriers. The study examines the role of learning in engagement with climate change adaptation with the help of the theory of transformative learning. Our analysis is based on follow-up interviews conducted with 24 Swedish forestry stakeholders who had participated in a series of focus group discussions about climate change impacts and adaptation measures. We find that many stakeholders struggled to form an opinion based on what they perceived as uncertain and contested scientific knowledge. The study concludes that engagement with climate change adaptation can be increased if the scientific knowledge addresses the needs, objectives and aspirations of stakeholders and relates to their previous experiences with climate change and extreme weather events.

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Adaptation is necessary to cope with or take advantage of the effects of climate change on socio-ecological systems. This is especially important in the forestry sector, which is sensitive to the ecological and economic impacts of climate change, and where the adaptive decisions of owners play out over long periods of time. Relatively little is known about how successful these decisions are likely to be in meeting demands for ecosystem services in an uncertain future. We explore adaptation to global change in the forestry sector using CRAFTY-Sweden; an agent-based model that represents large-scale land-use dynamics, based on the demand and supply of ecosystem services. Future impacts and adaptation within the Swedish forestry sector were simulated for scenarios of socio-economic change (Shared Socio-economic Pathways) and climatic change (Representative Concentration Pathways, for three climate models), between 2010 and 2100. Substantial differences were found in the competitiveness and coping ability of land owners implementing different management strategies through time. Generally, multi-objective management was found to provide the best basis for adaptation. Across large regions, however, a combination of management strategies was better at meeting ecosystem service demands. Results also show that adaptive capacity evolves through time in response to external (global) drivers and interactions between individual actors. This suggests that process-based models are more appropriate for the study of autonomous adaptation and future adaptive and coping capacities than models based on indicators, discrete time snapshots or exogenous proxies. Nevertheless, a combination of planned and autonomous adaptation by institutions and forest owners is likely to be more successful than either group acting alone.