Climate change is the biggest health threat of the 21st century, with health outcomes worsening across most climate-sensitive health parameters. The World Health Organization's 2025 Global Action Plan on Climate Change and Health calls for health and climate issues to be better integrated in policy development as a matter of priority. Recent research indicates that climate adaptation interventions present an opportunity for substantial returns on investment when health and other outcomes are accounted for. This rapid scoping review explores a subset of the broader peer-reviewed literature assessing health co-benefits and costs of climate adaptation interventions. A search of PubMed, Scopus, and MEDLINE was carried out in August 2024 and 286 papers were screened for eligibility. 25 papers were deemed eligible for inclusion and data were extracted across multiple variables, including geographic location of study, reported cost of intervention, health outcomes and reported indicators. Most of the 25 included papers were review articles and did not quantify or monetize health co-benefits. Only two of the 25 included papers reported the cost of featured climate adaptation interventions. A quarter of the included papers discussed potentially relevant indicators for reporting adaptation health co-benefits. Nature-based solutions and interventions relating to the built environment were the most common sectors covered. Recognizing the limitations of our findings given the subset of papers included in this scoping review, there appears to be an opportunity within the peer-reviewed literature to quantify the health co-benefits of climate adaptation interventions, report on their costs and benefits, and use standardized intervention typologies or measurement frameworks to assess effectiveness. Beyond the need for a more comprehensive and systematic review, future research must better evaluate the effectiveness and health outcomes of climate adaptation interventions and planning through appropriate study designs to enable evidence-based policy decisions that optimize the benefits of adaptation action.

Climate change is intensifying the frequency, duration, and severity of heatwaves globally, posing a growing threat to human health. However, few fine-scale projections of heatwave-related excess mortality account for spatial disparities and adaptive capacity. We aimed to estimate future heatwave-related excess mortality across statistical area level 2 (SA2) communities in Australia under multiple climate scenarios. In this modelling study, we projected excess mortality rates across 2288 SA2 communities in Australia for the period 2020-2100 under four shared socioeconomic pathways (SSPs) representing alternative trajectories of adaptation (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Daily all-cause mortality data from Jan 1, 2009, to Dec 31, 2019, were obtained from the Australian Coordinating Registry and the Australian Bureau of Statistics. We estimated historical exposure-response relationships using a two-stage distributed lag non-linear model with multivariate meta-regression. Future daily temperatures were obtained from bias-corrected, downscaled projections based on Coupled Model Intercomparison Project Phase 6 (a global climate model intercomparison project) and combined with mortality data and SSP-specific population forecasts to estimate annual excess deaths and excess mortality rates. We assessed median percentage changes in annual excess mortality rates for 2050-59 and 2090-99 using the 2020-29 period as a reference. Two adaptation scenarios were considered: no adaptation and full adaptation. Uncertainty was quantified through Monte Carlo simulations. Heatwave-related excess mortality was projected to increase substantially across Australia under all SSP scenarios. We estimated that, in 2100, without adaptation, annual excess deaths would reach approximately 5820 under SSP5-8.5 (a scenario of a fossil fuel-intensive future with little mitigation) and the cumulative total of heatwave days across all communities would be 174 079. Heatwave-related excess mortality rates were projected to be highest in Northern Territory during 2090-99, at 33·9 deaths per 100 000 population (95% empirical CI 13·9-55·0), followed by Queensland, at 18·4 deaths per 100 000 population (7·6-29·8), and New South Wales, at 12·8 deaths per 100 000 population (5·3-20·7); projected percentage changes in excess mortality rate relative to 2020-29 ranged from 356% (in West Coast, South Australia) to 4412% (in Thamarrurr, Northern Territory). Although full adaptation substantially reduced the projected mortality burdens, considerable residual risks remained. Spatial disparities in excess mortality rates persisted across states, socioeconomic strata, and urban-rural classifications, although absolute differences were modest. This study provides a comprehensive assessment of future heatwave-related excess mortality across Australia under multiple climate change and adaptation scenarios. These high-resolution projections underscore the urgent need for integrated mitigation and locally tailored adaptation strategies to address climate-related health inequities. Australian Research Council and Australian National Health and Medical Research Council.

The growing intersection between climate change and human mobility argues that migration, displacement, and immobility are increasingly shaped by both sudden-onset and slow-onset climate hazards, alongside underlying social and governance vulnerabilities. Most climate-related mobility occurs within national borders and carries considerable implications for health, livelihoods, and urban systems. Global frameworks such as the Global Compact for Migration and the UN Framework Convention on Climate Change have begun to acknowledge these dynamics; however, a major adaptation gap is identified at the national level. Climate-related mobility is often referenced in national adaptation plans, but coherent implementation strategies, coordination mechanisms, and monitoring systems remain underdeveloped. To address this adaptation gap, this Personal View proposes a structured diagnostic assessment tool to evaluate how effectively mobility is integrated into national adaptation plans across domains, including risk assessment, governance, legal preparedness, financing, and monitoring and evaluation. Rather than ranking countries, the tool supports context-sensitive analysis, strengthens institutional readiness, and facilitates cross-country learning. This paper calls for a shift towards anticipatory, rights-based adaptation planning that recognises mobility as both a potential risk and an adaptive strategy in response to climate change.

Climate change threatens global food systems1, but the extent to which adaptation will reduce losses remains unknown and controversial2. Even within the well-studied context of US agriculture, some analyses argue that adaptation will be widespread and climate damages small3,4, whereas others conclude that adaptation will be limited and losses severe5,6. Scenario-based analyses indicate that adaptation should have notable consequences on global agricultural productivity7, 8–9, but there has been no systematic study of how extensively real-world producers actually adapt at the global scale. Here we empirically estimate the impact of global producer adaptations using longitudinal data on six staple crops spanning 12,658 regions, capturing two-thirds of global crop calories. We estimate that global production declines 5.5 × 1014 kcal annually per 1 °C global mean surface temperature (GMST) rise (120 kcal per person per day or 4.4% of recommended consumption per 1 °C; P < 0.001). We project that adaptation and income growth alleviate 23% of global losses in 2050 and 34% at the end of the century (6% and 12%, respectively; moderate-emissions scenario), but substantial residual losses remain for all staples except rice. In contrast to analyses of other outcomes that project the greatest damages to the global poor10,11, we find that global impacts are dominated by losses to modern-day breadbaskets with favourable climates and limited present adaptation, although losses in low-income regions losses are also substantial. These results indicate a scale of innovation, cropland expansion or further adaptation that might be necessary to ensure food security in a changing climate. Analysis of data on six stable crops, capturing two-thirds of global crop calories, allows estimation of agricultural impacts and the potential of global producer adaptations to reduce output losses owing to climate change.

The resilience of electric power grids is threatened by natural hazards. Climate-related hazards are becoming more frequent and intense due to climate change. Statistical analyses clearly demonstrate a rise in the number of incidents (power failures) and their consequences in recent years. Therefore, it is of utmost importance to understand and quantify the resilience of the infrastructure to external stressors, which is essential for developing efficient climate change adaptation strategies. To accomplish this, robust fragility and other vulnerability models are necessary. These models are employed to assess the level of asset damage and to quantify losses for given hazard intensity measures. In this context, a comprehensive literature review is carried out to shed light on existing fragility models specific to the transmission network, distribution network, and substations. The review is organized into three main sections: damage assessment, fragility curves, and recommendations for climate change adaptation. The first section provides a comprehensive review of past incidents, their causes, and failure modes. The second section reviews analytical and empirical fragility models, emphasizing the need for further research on compound and non-compound hazards, especially windstorms, floods, lightning, and wildfires. Finally, the third section examines risk mitigation and adaptation strategies in the context of climate change. This review aims to improve the understanding of approaches to enhance the resilience of power grid assets in the face of climate change. These insights are valuable to various stakeholders, including risk analysts and policymakers, who are involved in risk modeling and developing adaptation strategies.

Climate change adaptation is a critical response to the challenges posed by climate change and is important for building resilience. Progress in adaptation efforts has been made globally, nationally, and locally through international agreements, national plans, and community-based initiatives. However, significant gaps exist in knowledge, capacity, and finance. The Adaptation Gap Report 2023, published by the United Nations Environment Programme (UNEP), examines the status of climate change adaptation efforts globally. The report highlights the widening adaptation finance gap and the deepening climate crisis. We analyse the key themes of the report and incorporate an analysis of the wider literature and insights from COP28 to substantiate key points and identify gaps where more work is needed to develop an understanding of climate change adaptation. This paper focuses on the underfinanced and underprepared state of global climate change adaptation efforts, the widening adaptation finance gap, slow progress in adaptation, gender equality and social inclusion issues, and challenges in addressing loss and damage. We provide a way forward for climate change adaptation and offer recommendations for future actions.

<jats:sec><jats:title>Introduction</jats:title><jats:p>Adaptation to climate change (ACC) is imperative to avoid deleterious consequences of climate change in agriculture. However, the uptake of adaptation measures has been slow among farmers because of low adaptive capacity (AC) in developing countries, particularly in Pakistan. Farmers and their supporting institutions have been successful in introducing technological innovations to respond and adapt to environmental challenges. The present study intended to determine the impact of farming technologies, along with human, financial, social, physical, natural, and climate information resources that support AC and hence ACC.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The study collected data from 360 farmers in Punjab through a multi-stage random sampling technique. A binary logit model and odds ratio were used to identify the factors affecting ACC. The study also utilized correlation tests to show the correlation between each pair of variables included in the analysis.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The results indicated that physical capital such as ownership of tube wells, transportation, and sowing and harvesting tools by the farmers builds farmers’ AC and consequently determines the ACC such as change crop variety (CCV), change crop type (CCT), change planting date (CPD), soil conservation (SC), water conservation (WC), and diversification strategies (DSs). The findings also revealed that human capital (age, education, family size, and labor), financial capital (off-farm employment, access to the marketing of produce, and agricultural credit), social capital (farmers-to-farmers extensions, access to extension services, and the farm association membership), and natural capital (land ownership, tenancy status, and the location of the farm) were importantly related to farm households’ ACC strategies. The odds (likelihood) of adaptation were higher for the users of farm technology as compared to non-users.</jats:p></jats:sec><jats:sec><jats:title>Discussion</jats:title><jats:p>The analysis conducted in this study showed that climate information resources amplify the adaptation to climate change: technology allows farming to be much more efficient, while climate change knowledge (CCK) self-motivates farmers to adopt more ACC measures. Our findings provide evidence that suggests the need to provide credits and financial support for farming technologies that speed up the ACC in the long run, while in the short run, climate information should be spread among farming communities.</jats:p></jats:sec>

The Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the physical science basis of climate change. It considers in situ and remote observations; paleoclimate information; understanding of climate drivers and physical, chemical, and biological processes and feedbacks; global and regional climate modelling; advances in methods of analyses; and insights from climate services. It assesses the current state of the climate; human influence on climate in all regions; future climate change including sea level rise; global warming effects including extremes; climate information for risk assessment and regional adaptation; limiting climate change by reaching net zero carbon dioxide emissions and reducing other greenhouse gas emissions; and benefits for air quality. The report serves policymakers, decision makers, stakeholders, and all interested parties with the latest policy-relevant information on climate change. Available as Open Access on Cambridge Core.

Climate change is a long-lasting change in the weather arrays across tropics to polls. It is a global threat that has embarked on to put stress on various sectors. This study is aimed to conceptually engineer how climate variability is deteriorating the sustainability of diverse sectors worldwide. Specifically, the agricultural sector’s vulnerability is a globally concerning scenario, as sufficient production and food supplies are threatened due to irreversible weather fluctuations. In turn, it is challenging the global feeding patterns, particularly in countries with agriculture as an integral part of their economy and total productivity. Climate change has also put the integrity and survival of many species at stake due to shifts in optimum temperature ranges, thereby accelerating biodiversity loss by progressively changing the ecosystem structures. Climate variations increase the likelihood of particular food and waterborne and vector-borne diseases, and a recent example is a coronavirus pandemic. Climate change also accelerates the enigma of antimicrobial resistance, another threat to human health due to the increasing incidence of resistant pathogenic infections. Besides, the global tourism industry is devastated as climate change impacts unfavorable tourism spots. The methodology investigates hypothetical scenarios of climate variability and attempts to describe the quality of evidence to facilitate readers’ careful, critical engagement. Secondary data is used to identify sustainability issues such as environmental, social, and economic viability. To better understand the problem, gathered the information in this report from various media outlets, research agencies, policy papers, newspapers, and other sources. This review is a sectorial assessment of climate change mitigation and adaptation approaches worldwide in the aforementioned sectors and the associated economic costs. According to the findings, government involvement is necessary for the country’s long-term development through strict accountability of resources and regulations implemented in the past to generate cutting-edge climate policy. Therefore, mitigating the impacts of climate change must be of the utmost importance, and hence, this global threat requires global commitment to address its dreadful implications to ensure global sustenance.

<jats:title>Abstract</jats:title><jats:p>Climate change has the potential to disrupt sustainable development initiatives, particularly in developing economies. A substantial body of literature reveals that developing economies are vulnerable to climate change, due to high dependency on climate-sensitive sectors, such as agriculture. In Ghana, a growing body of literature has revealed multiple adaptation strategies adopted by smallholder farmers to respond to and reduce climate change impacts. However, there is a dearth of literature on the effectiveness of adaptation strategies. This chapter explores the adaptation strategies of smallholder farmers and analyzed the predictors of effective adaptation. Through the technique of simple random sampling, 378 smallholder farmers were selected, and data was collected using a questionnaire survey. Descriptive and inferential statistics were performed using the SPSS software. The findings indicate that smallholder farmers adopt multiple adaptation strategies to reduce the impact of climate change. In addition, it is revealed that marital status, years of farming experience, knowledge of climate change, and education are significant predictors of adaptation. Moreover, the chapter found that marital status, weedicide application, change in staple food consumption, and planting of early-maturing crops are good predictors of effective adaptation. The chapter recommends the need to intensify adaptation strategies through agricultural extension programs and interventions that improve rural food security and livelihood. In addition, the chapter recommends strengthening the capacity of farmer organizations and rural institutions, particularly agricultural extension and advisory services.</jats:p>