Adaptation Options Research Articles

Features of adaptation of the bioenergetics system of the organism of young athletes to physical loads

Training of young athletes in modern conditions is characterized by the use of increased volumes and high intensity of training loads. The educational and training process in various sports involves the use of various schemes and approaches to training. The article identifies the physiological mechanisms of reactions of the body of young athletes to the muscular activity of the main energy systems. Such an approach is necessary for the scientific support of planning training programs at different stages of preparation. The study involved young athletes specializing in swimming and water polo. As part of the natural training process, a three-stage comprehensive examination was carried out for each specialization. The aim of the work was to identify individual adaptations of the athlete's body to physical exertion. As a result of the study, it was found that swimmers and water polo players demonstrate certain differences in the ratio of aerobic and anaerobic energy supply during intense muscle work. This is explained by differences in the focus of the training process and the specifics of their motor activity. Analysis of the study results revealed four main options for individual adaptation of the body of young athletes to physical exertion. This approach allowed for adjustments to individual training plans.

Enhancing yields and climate resilience through conservation agriculture: multi-year regional on-farm trials in Zambia

Abstract Background and aims Conservation agriculture (CA) has gained traction as a climate-smart management strategy to enhance food security and maintain soil quality. However, nearly all investigations are based on controlled experimental studies with few long-term on-farm trials. The objective of the study was to assess the effect of CA on maize yield and soil fertility at smallholder farms in Zambia (2016–2021). Methods About 100 on-farm trials were established. CA plots with maize (Zea mays L.) in annual rotation with soybean were compared pairwise with conventional plots, with maize monocropping, which were managed in accordance with local practices. Maize grain yield and soil pH, organic carbon, phosphorus and nitrogen were investigated. Results Maize grain yield was significantly higher in CA (+ 24% to + 39%) compared to conventional management, due to early sowing and more effective use of precipitation. However, after 5 years, there was no significant difference in soil fertility between CA and conventional agriculture. Conclusion CA provides a viable option for climate change adaptation due to increased yields and drought resilience. The higher yield under CA provides an opportunity to enhance food security. However, our results do not support that CA enhances soil organic carbon, available phosphorus and nitrogen after 5 years of maize-soybean rotation.

Far‐Reaching Impact of Microplastics on Agricultural Systems: Options for Mitigation and Adaptation

Far‐Reaching Impact of Microplastics on Agricultural Systems: Options for Mitigation and Adaptation

Optimizing a mobile just-in-time adaptive intervention (JITAI) for weight loss in young adults: Rationale and design of the AGILE factorial randomized trial.

Young adults (YAs) are underrepresented in behavioral health and weight loss interventions and express interest in flexible, highly tailored programs. Mobile interventions are a lower-burden, scalable approach to providing behavioral support. Just-in-time-adaptive interventions (JITAI) promise to deliver the "right" support at the "right" time using real-time data from smartphones and sensors. JITAIs hold promise for promoting behavior changes needed for weight loss (dietary intake, activity, and self-weighing); however, there is limited evidence for selecting treatment components and levels of adaptation that are needed for success. The AGILE (Adaptive Goals and Interventions for Lifestyle Enhancement) trial utilizes the Multiphase Optimization Strategy (MOST) framework and a 25 full factorial experimental trial to test the efficacy of 5 intervention components, each with two levels, on weight loss among 608 YAs recruited from around the United States. All participants will receive a core 6-month weight loss intervention that includes evidence-based lessons, behavioral skills training, and daily weighing. With the goal of determining if greater adaptation leads to greater weight loss, we will test standard versus adaptive options of 5 additional intervention components: 1) diet monitoring approach (standard vs. simplified), 2) adaptive physical activity goals (weekly vs. daily), 3) decision points for message timing (fixed vs. adaptive), 4) decision rules for message content (standard vs. adaptive), and 5) message choice (no vs. yes). Assessments will occur at baseline, 3 months, and 6 months. Results of this trial will be used to create an optimized JITAI for weight loss in young adults.

Application of machine learning algorithms for optimizing the trajectory of inclined wells

Machine learning, a subset of artificial intelligence, allows computers to learn and improve from data without explicit programming. Machine learning algorithms are categorized into supervised, unsupervised, and reinforcement learning, each serving different applications such as classification, clustering, and decision-making. In the oil and gas industry, machine learning is applied to drilling processes, reservoir characterization, and exploration. It improves efficiency in predicting reservoir properties, optimizing drilling parameters, and detecting anomalies. The methodology for analyzing well trajectory includes evaluating survey data with calculation methods like tangential, balanced tangential, average angle, radius of curvature, and minimum curvature. These methods help optimize wellbore paths. This study outlines control criteria essential for optimizing borehole trajectory management in oil and gas well drilling. The deviation correction criterion aims to maintain the borehole path within a designated trajectory, minimizing deviation from the planned design profile. Optimal control conditions are defined through mathematical criteria involving radius vectors and design trajectory alignment. The control framework incorporates efficiency measures, calculating the trajectory's costeffectiveness and operational constraints. Machine learning algorithms facilitate these control strategies, focusing particularly on zenith angle correction for trajectory stabilization. These methods provide adaptable options for deflector angle and correction length, ensuring alignment with target intervals. The approach enhances trajectory accuracy, minimizes costs, and complies with technical, geological, and technological constraints inherent to drilling. Software incorporating machine learning and these methods was developed and tested, demonstrating improvements in analyzing survey data and optimizing well trajectory, contributing to more efficient drilling operations and reduced costs. Keywords: machine learning; mathematical models; control criteria; well trajectory optimization; survey data analysis; calculation methods.

An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems

Abstract. Self-adaptation equips a software system with a feedback loop that resolves uncertainties during operation and adapts the system to deal with them when necessary. Most self-adaptation approaches today use decision-making mechanisms that select for execution the adaptation option with the best-estimated benefit expressed as a set of adaptation goals. A few approaches also consider the estimated (one-off) cost of executing the candidate adaptation options. We argue that besides benefit and cost, decision-making in self-adaptive systems should also consider the estimated risk the system or its users would be exposed to if an adaptation option were selected for execution. Balancing all three concerns when evaluating the options for adaptation to mitigate uncertainty is essential for satisfying stakeholders’ concerns and ensuring the safety and public acceptance of self-adaptive systems. In this paper, we present a reference model for decision-making in self-adaptation that considers the estimated benefit, cost, and risk as core concerns of each adaptation option. Leveraging this model, we then present an ISO/IEC/IEEE 42010 compatible architectural viewpoint that aims at supporting software architects responsible for designing robust decision-making mechanisms for self-adaptive systems. We demonstrate the applicability, usefulness, and understandability of the viewpoint through a case study where participants with experience in the engineering of self-adaptive systems performed a set of design tasks in DeltaIoT, an Internet-of-Things exemplar for research on self-adaptive systems.

Adopting a strategic approach to dormant seeding and initial soil water management for rainfed lentil agroecosystems

The initial soil water (ISW) content and dormant seeding management (DSM) also resulted in better use of precipitation and escape from the heat and drought stresses in late spring and early summer. However, the effect of initial soil water content under DSM as an adaptation option on crop yield has not been fully evaluated, especially in developing countries. We aimed to assess sowing date and ISW on yield of lentil cultivars in 37 selected locations representing six arid and semi-arid agro-climates in Iran. We utilized the SSM-Legume model to quantify the sensitivity of lentil production to ISW and sowing date. Our results showed that the ISW creates the early appearance of stress on late-sown lentil, while DSM1 (dormant seeding around 20 December) of lentil conserved higher soil water throughout the crop growth period. On the other hand, DSM1 and short cycle cultivar explored a higher amount of soil water and thus increasing the productivity. Hence, to minimize the effect of soil water stress in lentil rainfed agroecosystems, the best management combination of a short-cycle cultivar, DSM1, and an ISW ranges from 32 up to 52 mm produced the highest grain yield over all studied agro-climate types (779–605 kg ha−1) due to lower plant water stress. Improving total production can be especially effective in arid and semi-arid areas. These results can offer advice to farmers and decision-makers in enhancing rainfed lentil production in arid and semi-arid agroecosystems by managing soil water and DSM.

Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects

Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) convenes the climate science community to assess the latest knowledge on climate change relevant to policy-makers. This generally takes the form of Assessment Reports (AR) covering the scientific basis of climate change, its impacts and future risks, and options for adaptation and mitigation. With each cycle, these reports have grown in scope, length, number of referenced papers, and underpinning datasets. During the sixth assessment cycle, a large-scale collective effort went into archiving digital products assessed and generated through the IPCC process. The main objectives driving this initiative are making IPCC’s work more transparent, improving the reproducibility and reusability of the assessment outcomes, better utilization of the services of the IPCC Data Distribution Centre (DDC), and, more generally, compliance with best practices in open science. This paper expands on the motivations for the curation and preservation of digital objects in the IPCC. It gives an overview of how FAIR (Findable, Accessible, Interoperable, Reusable) and open data principles have been implemented in practice and explores some of the successes and setbacks of the AR6 experience. It concludes with recommendations for consolidation and expansion of the approach for AR7. These include a tighter integration of digital curation activities in the IPCC timeline and workflows, better support of IPCC authors and contributors through early training and use of suitable software, improved standardization and harmonization of data and software handling across Working Groups (WGs), and close collaboration with key external data providers and research organizations.

Building Ethiopia’s food security resilience to climate and hydrological change

Abstract Historically Ethiopia’s food security has been sensitive to climatic variability, but changes in future weather and climate could lead to overall reductions and increased variability in agricultural production, without further adaptation. We present an integrated modelling assessment framework which combines climate, crop, and hydrological modelling to quantify future risks to Ethiopia’s food security. We explore the impacts of 2°C and higher climate change scenarios on water availability and crop yields and simulate how future climate shocks may impact Ethiopia’s food. We consider three adaptations to agricultural management practices (improved seed varieties, increased use of nitrogen fertilizer and supplementary irrigation) and quantify their effectiveness in enhancing the resilience of Ethiopia’s food system to climate and hydrological change by 2050. Results show that, without policy intervention, climate change creates a risk of declining Meher season crop yields across Ethiopia. Under the worst climate change scenario, Teff (-12.0%), barley (-6.7%), and wheat (-4.4%) are projected to have the largest decline in average yields, whilst maize (-0.1%) and sorghum (+0.9%) yields are less impacted thanks to more favourable growing conditions. However, the results also indicate that the adaptation options have a bigger beneficial effect than the climate impact. Of the policies evaluated, improved seeds have a relatively greater effect than increased fertilizer use. Supplementary irrigation could help to mitigate increases in crop water requirements under warmer climate conditions and is most effective in drought prone basins and for drought-vulnerable crops. Overall, the results show that locally relevant agricultural policies are necessary to build Ethiopia’s food system resilience to climate and hydrological change by the mid-century.

Advisors as key partners for achieving adoption at scale: embedding “My Climate View” into agricultural advisory networks

IntroductionThis paper examines the role of agricultural advisors as key partners for scaling adoption of long-term climate information. Agri-food sectors across the world face significant challenges in responding to climate change, which intersect with broader pressures driving transitions to more climate resilient and sustainable agri-food systems. Making better climate information available to farmers is a key part of responding to these challenges, since relevant and usable climate information can help farmers to adapt to future climate conditions. The development of climate services, which seek to provide climate information to assist with decision making, has therefore increased significantly over the last decade. The Climate Services for Agriculture (CSA) program provides long-term climate projections to help the Australian agriculture sector prepare for and adapt to future climate conditions. ‘My Climate View’ is an online tool produced by CSA, which provides localised and contextualised, commodity-specific climate information, through historic weather data and multi-decadal projections of future climate, aimed at Australian famers and farm advisors. Agricultural advisors have a critical yet often underutilised role as climate information intermediaries, through assisting farmers translate climate information into action.MethodsThis paper uses CSA as a case study to examine farmer-advisor interactions as a key adoption pathway for My Climate View. We interviewed 52 farmers and 24 advisors across Australia to examine the role of advisors as key partners in helping farmers to understand climate information and explore on-farm climate adaptation options.Results and discussionInteractions between farmers and their trusted advisors are an essential part of the enabling environment required to ensure that this long-term climate information can be used at the farm scale to inform longer-term decisions about climate adaptation. We use the concept of an interaction space to investigate farmer-advisor interactions in the adoption and sustained use of My Climate View. We find that although My Climate View is not a transformational technology on its own, its ability to enable farmers and advisors to explore and discuss future climate conditions and consider climate adaptation options has the potential to support transformational changes on-farm that are needed to meet the sustainability transition pressures that climate change presents.

Climate Adaptation of Roads to Flooding Hazards—A Review

Flooding hazards due to climate change are increasingly becoming a frequent global occurrence. The aim of this study is to provide a comprehensive review of the various structural mitigation and adaptation strategies available to engineers and designers at various stages of road construction and rehabilitation to increase the resilience of roads to flooding damage. The criteria for categorising the various strategies available were the time of intervention with respect to the occurrence of the hazard. Thus, all studied strategies were separated into pre-construction design changes, post-construction mitigation and adaptation options like Sustainable Urban Drainage Systems (SuDS). The main findings were that changing the specifications of commonly used materials can provide increased flood resilience, and a preliminary design for flooding can reduce post-flooding rehabilitation. The study can be used as a guide for the different options available to deliver a design that takes flooding into consideration.

Climate Smart Agriculture Opportunities and Challenges in Afghanistan

Agriculture in dryland regions is directly affected by climate change. In Afghanistan, climate-smart agriculture (CSA) improves productivity resilience and reduces greenhouse gas emissions (GHG). However, climate change, water shortage, population growth, and food insecurity are major challenges in developing countries such as Afghanistan. In the face of climate change, traditional agriculture methods need to be transformed into CSA that are capable of improving food production within the constraints of climate change. A review study was conducted to identify opportunities and challenges for CSA in Afghanistan. Among the many CSA technologies in Afghanistan, the review found, the use of drought resistance varieties, implementation of conservation agriculture, the use of Zai and Half-moon techniques for planting pits, moisture conservation, rainwater harvesting, watershed management, drip irrigation system, soil carbon sequestration, control erosion techniques, and climate forecast services are the best opportunities and as promising options for risk management and adaptation to climate change. Still, unfortunately, most of these options have not yet been implemented by Afghan farmers, just followed by researchers. In addition, CSA in Afghanistan faces several solvable challenges. Limited understanding of the CSA concept and framework, limited investment to develop and implement CSA technologies, inadequate communication between government, policymakers, farmers, climate change impacts, GHG, and traditional agriculture. The review recommended that CSA practices be suitable options for all stakeholders to increase income and ensure food security and sustainable agriculture by adaptation practices against climate change. This review provides new strategies and ideas for strengthening sustainable agriculture, food security, environmental protection, and mitigating the impact of climate change.

Contrasting forest management strategies: Impacts on biodiversity and ecosystem services under changing climate and disturbance regimes

Natural disturbances may compromise the past and ongoing efforts to increase carbon sequestration and halt biodiversity loss in boreal forests. Measures to minimize the effects of forest disturbances i.e., adaptive management, offer solutions to secure future timber yields. However, the consequences of adaptive management on biodiversity, the climate change mitigation potential of forests, and other ecosystem services are not well understood. In addition, the impact of climate change and disturbances on future forest-based mitigation potential is not well known. We compared the effects of forest management options emphasizing climate change mitigation or adaptation on boreal forests in changing climate and disturbance regimes in southern Finland. We used the process-based forest landscape and disturbance model iLand to dynamically model interactions between climate change and disturbances together with forest management and protection options, and examined the consequent effects on forest carbon storage, berry yields, recreation, and structural attributes important for biodiversity. Mitigation managements resulted in up to one-fifth higher carbon stocks, even after accounting for disturbances by wind and bark beetles, but halved annual harvests over the 80-year simulation period. Adaptive managements reduced bark beetle disturbances, but in some cases the disturbed volumes were even higher than under business-as-usual management due to increased wind damage. The effects of proactive risk management depended on the time horizon considered, the adaptive management option chosen and the climate change scenario. In general, the mitigation managements had positive effects on the biodiversity indicators studied, while the effects of adaptive management were mixed. Our results highlight the complex interactions between disturbance risk prevention, biodiversity, carbon sequestration and storage, and other ecosystem services. The results guide forest managers and policymakers to plan mitigation and adaptation strategies optimizing multiple benefits, and strengthening forest resilience in a changing climate.

Climate migration management? Contrasting international policy approaches with evidence from Ghana

ABSTRACT Donors and international organizations are seeking to manage migration out of climate-affected areas through local climate change adaptation and resilience-building. This article assesses the prominence of such approaches, considers their possible efficacy through an empirical case, identifies weaknesses, and offers alternatives. First, we identify and discuss international policy approaches seeking to shape climate-related mobility, drawing on document review of bilateral donor and international organizations’ policy and strategy documents regarding adaptation and climate-related migration. Then, we consider the efficacy of in place, or ‘in situ’, approaches that emphasize adaptation to limit mobility in practice. This is through a case-based analysis of dams and irrigation in the dry savannah zone of Northern Ghana, where poverty and outmigration are the highest in the country, and climate change severely undermines rural livelihoods. Donor-supported national efforts in this region explicitly link in situ adaptation and resilience-building with aims to limit outmigration. In addition to extensive background research including historical analysis, satellite and climate data analysis and a household survey (n = 403), this particular case analysis is based on individual and key informant interviews (n = 16 and 8, respectively), focus group discussions (n = 6) and document and policy review from Ghana, with focus on the Upper West Region. We document significant limitations broadly relevant to in situ approaches: they are unlikely to address diverse climate impacts as well as non-climatic factors shaping migration, and they will likely struggle to accommodate highly differentiated needs, preferences and mobility patterns within populations. Conversely, we find that in situ approaches seeking to reduce climate-related outmigration dominate among donor policies – often over focus on poverty reduction or development outcomes. These findings call for rethinking of donor and domestic policies that seek to limit outmigration through adaptation and resilience building. Rather, there is a need for development – and choice-oriented approaches that constructively integrate local adaptation and migration options for improved development outcomes.

Treatment of Failed Anterior Instability Repair With DTA

This chapter explores the use of distal tibia allograft (DTA) for addressing glenoid bone deficiencies in revision surgery for anterior glenohumeral instability. Traditional approaches have often overlooked glenoid bone loss, which can negatively impact functional outcomes of a shoulder instability repair. The DTA offers a promising solution, effectively reconstructing the glenoid vault while minimizing damage to surrounding tissues when performed arthroscopically. This approach not only simplifies the surgical technique but also enhances stability when combined with soft tissue procedures. By allowing for personalized graft sizing, the DTA presents an adaptable option for various patients facing revision surgeries for anterior instability, making it a leading consideration in modern orthopaedic practice for the management of shoulder instability repair.

Effective Adaptation Options to Alleviate Nuisance Flooding in Coastal Megacities—Learning From Ho Chi Minh City, Vietnam

AbstractThe economies and livelihoods of many coastal megacities are at serious risk from flooding, despite investments in flood defenses. For instance, in Ho Chi Minh City, the construction of a large‐scale ring‐dike has mitigated negative effects from storm surges, yet damage is still frequently caused by high‐intensity rainfalls leading to nuisance flooding, which is responsible for the highest proportion of flood losses in the city today. Because sustainable flood risk management requires detailed spatial information, we analyze the local risk and its components based on a chain of novel models previously calibrated and validated for Ho Chi Minh City. Furthermore, we assess the effectiveness of two decentralized adaptation options, namely private precautionary measures and rainwater retention, for mitigating pluvial flooding. Our integrated risk assessment reveals that the approaches are complementary, which is a major advantage for their implementation. Implementation of both approaches has the potential to reduce the expected annual damage and the number of annually affected households by 16% and 56%, respectively. This is also reflected in a significant reduction of annual losses per household, which we propose as an additional, people‐centered indicator of flood risk. Moreover, these measures are well‐suited to strengthen citizen participation in risk reduction beyond top‐down protection schemes. Complementing the ring‐dike with decentralized adaptation options can therefore be seen as an effective and generic strategy to alleviate the impacts of nuisance flooding in coastal megacities, such as Ho Chi Minh City, and should be incentivized by decision‐makers. Aside from hydrological and metocean site conditions, both the methodology and findings of this study are transferrable to any coastal megacity facing similar challenges.

Scaling up small wind turbines in India: Barriers and options for the way forward

Small wind turbines (SWTs) are an adaptable and flexible option for the generation of renewable electricity. They can be sited at locations with a reasonable wind resource that are unsuitable for large wind projects. SWTs, whether operating individually or as hybrids, are also classified as distributed renewable energy generation (DREG) systems. Hence, in addition to improving the utilization of wind and expanding renewable capacity in line with the 2030 500 GW targets (PIB Delhi 2021), SWTs can also support the Indian government’s plans to promote DREG for livelihood applications and contribute toward distributed renewable purchase obligation (RPO) targets.

Identifying suitable areas for plenter forest management

Plenter forests, also known as uneven-aged or continuous cover forests enhance forest resilience and resistance against disturbances compared to even-aged forests. They are considered as an adaptation option to mitigate climate change effects. In this study, we present a conceptual approach to determine the potentially suitable area for plenter forest management within central European mixed species forests and apply our approach to the case study area in Styria, the south-eastern Province of Austria. The concept is based on ecological and technical-economic constraints and considers expected future climate conditions and its impact on plenter forest management. For each 1 ​ha forest pixel, we assess the ecological conditions for plenter forest management according to the autecological growth conditions of silver fir, and at least one additional shade tolerant tree species. The technical-economic constraints are defined by slope (≤30%) and distance to the next forest road (≤100 ​m) to ensure cost-efficient harvesting. The results show that under current climate conditions 28.1% or 305,349 ​ha of the forests in Styria are potentially suitable for plenter forest management. For the years 2071–2100 and under the climate change scenario RCP 4.5, the potential area decreases to 286,098 ​ha (26.3% of the total forest area) and for the scenario RCP 8.5 to 208,421 ​ha (19.1% of the total forest area). The main reason for these changes is the unfavourable growing conditions for silver fir in the lowlands, while in the higher elevations silver fir is likely to expand. Our results may serve forest managers to identify areas suitable for plenter forests and assist in the transformation of even-aged pure forests to uneven-aged forests to increase resistance, resilience, and biodiversity under climate change.

The impact of drought and climate change on economy, environment and human health in southern Iran: A qualitative study

Drought and climate change are one of the most important environmental health challenges of the current century. It has been predicted that the occurrence of drought, its intensity, and its adverse effects on the environment, human health, societies, and economy will increase in the coming decades. This qualitative content analysis study aimed to explore the impact of drought on the lives of people living in the south of Iran. Data were collected through in-depth semi-structured interviews with farmers, urban and rural officials, and physicians. A total of 25 interviews were conducted. All interviews were recorded and then transcribed. Data were analyzed using MAXQDA version 18. The concepts raised by interviewees regarding the consequences of drought were categorized into four themes, including economic consequences, environmental hazards, health consequences, and adaptation options; and most of these consequences were inter-related. Participants believed that drought has affected the soil, environment, ecosystem, and the quality and quantity of water, and this can lead to extensive effects on humans’ physical, mental, and community wellbeing. Drought can also cause adverse economic effects, which can further intensify its adverse effects. It seems like the adverse effects of drought in Iran are severe and destructive, and this is due to the mismanagement of water and environmental resources and other socio-economic problems. Fundamental changes in the management of water and environmental resources are necessary.

Review of national climate change risk assessment methods for impacts on health and health systems in WHO European Region

Abstract Background Climate change poses significant risks to health and health systems. The European Union climate adaptation strategy sets out the pathway to become climate resilient by 2050 and supports the development of adaptation strategies across all levels of governance. Whilst many European countries have published climate change risk assessments (CCRA), it is unclear to what extent health outcomes have been quantified or prioritised. There is a need to improve methods for CCRA methods to support decision making on adaptation and better quantify future impacts on health. The aim of this study is to review the methods used in national CCRAs for impacts on health and health systems in the WHO European region. Methods National and European level CCRAs were identified from national government websites and European document databases e.g. Climate-ADAPT. The most recently published CCRA from each country was included. Data extracted from CCRAs included climate scenarios used, modelling data, outcomes, types of evidence evaluated, stakeholder involvement, health information, methods for prioritization of adaptation options and urgency scoring. Data extracted from each document was grouped by climate risk or outcome. Results Nearly all WHO EURO countries have conducted a formal assessment of climate risks and over half specifically include risks to health. All countries assessed the urgency to adapt to heat and flooding however, less than half consider the health related risks related to disrupted water supply and quality as well as impacts on food supply and security. The key reported health outcomes identified across countries were mortality, infectious disease, chronic diseases and mental health. Conclusions There is varying progress in the quantification and prioritization of health risks from climate change across Europe. To support better public health decision-making, CCRAs should integrate sub-national and local information for targeted adaptation action.