Climate Change Adaptation Strategies Research Articles

Using environmental and exercise physiology to address gender inequalities in climate change and occupational health research.

Climate change is a health-risk and health-inequity multiplier with excessive heat exposure a direct climate change impact already affecting the health and livelihood of billions globally. Women face greater risks and burdens from climate change impacts. Biological sex may or may not influence an individual's thermoregulatory capacity, heat tolerance or heat susceptibility. However at a population level, sex differences in physiological characteristics (anthropometrics, aerobic capacity, etc.) likely affect thermoregulatory capacity. Still, gender appears to play the most significant role in heat exposure and resulting health impacts. For climate change resilience and adaptation strategies to be effective, public health and occupational guidance/governance must be based on comprehensive and representative evidence. The current dearth of empirical evidence on how excessive heat exposure affects women prohibits this. Environmental and exercise physiology can help address this lack of empirical evidence by adhering to inclusive research guidelines. This paper is based on a symposium presentation given at Physiology 2023 in Harrogate, UK. Using a multi-year cohort study on industrial agricultural workers (the Adelante Initiative) as a case study, this review discusses the role of environmental and exercise physiology in generating inclusive research and evidence to inform occupational and public health guidance/governance for climate change resilience and adaptation, specifically heat exposure.

Rural Households' Vulnerability to Climate Variability and Adaptation Strategies in the Case of Begemdir District, Amhara Region, Ethiopia.

Climate change vulnerability is the biggest threat to ecosystems and economies of the world. Hence, this study aims to assess the vulnerability to climate variability adaptation strategies of rural households in Begemdir District, Northwest Ethiopia. In this study, the cross-sectional research design was used to gain a wider and better understanding of vulnerability to climate variability. Both primary and secondary data were used to triangulate the study to maintain validity. A multi-stage random sampling technique was used to select 120 sample households from the study area. Moreover, climatic data, such as rainfall and temperature data were collected from meteorological stations. The data gathered from primary data sources analyzed by using descriptive statistics. Finally, a logistic regression model was employed to identify the factors that affecting households' decisions to climate adaptation strategies in the study area. The results of the study reveal that the overall IPCC-LVI score is 0.49, and the perceived rainfall has decreased over the last decade. This implies livelihoods of the households are vulnerable to climate variability and low adaptive capacity. The age, sex, education level, extension services, land size, credit access, access to climatic information, access to credit, and extension services affected significantly (p < 0.05) households' vulnerability to climate variability in the study area. Thus, the local governments, policymakers, non-governmental organizations, and farming communities need to consider these variables to realize climate change adaptation strategies in the study area. Moreover, higher focus should be given to enhancing education, expanding access to credit, increasing land management support, as well as strengthening extension services to build long-term sustainable climate-resilient practices and mitigate the impacts of climate change vulnerability to households in the study area.

Fragility Modeling of Power Grid Infrastructure for Addressing Climate Change Risks and Adaptation

ABSTRACTThe 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.

Solar-Induced Chlorophyll Fluorescence-Based GPP Estimation and Analysis of Influencing Factors for Xinjiang Vegetation

With climate change and the intensification of human activity, drought event frequency has increased, affecting the Gross Primary Production (GPP) of terrestrial ecosystems. Accurate estimation of the GPP and in-depth exploration of its response mechanisms to drought are essential for understanding ecosystem stability and developing strategies for climate change adaptation. Combining remote sensing technology and machine learning is currently the mainstream method for estimating the GPP in terrestrial ecosystems, which can eliminate the uncertainty of model parameters and errors in input data. This study employed extreme gradient boosting, random forest (RF), and light use efficiency models. Additionally, we integrated solar-induced chlorophyll fluorescence (SIF), near-infrared reflectance of vegetation, and the leaf area index (LAI) to construct various GPP estimation models. The standardised precipitation evapotranspiration index (SPEI) was utilised at various timescales to analyse the relationship between the GPP and SPEI during dry years. Moreover, the potential pathways and coefficients of environmental factors that influence GPP were explored using structural equation modelling. Our key findings include the following: (1) the model combining the SIF and RF algorithms exhibits higher accuracy and applicability in estimating vegetation GPP in the arid zone of Xinjiang, with an overall accuracy (MODIS R2) of 0.775; (2) the vegetation in Xinjiang had different response characteristics to different timescales of drought, in which the optimal timescale for GPP to respond to drought was 9 months, with a mean correlation coefficient of 0.244 between grass land GPP and SPEI09, indicating high sensitivity; (3) using structural equation modelling, we found that temperature and precipitation can affect GPP both directly and indirectly through LAI. This study provides a reliable tool for estimating the GPP in Xinjiang, and its methodology and conclusions are important references for similar environments. In addition, this study bridges the research gap in drought response to GPP at different timescales, and the potential influence mechanism of natural factors on GPP provides a scientific basis for early warning of drought and ecosystem management. Further validation using a longer time series is required to confirm the robustness of the model.

Estimation of Future Climate Change in Low Folded Zone, Iraq with the LARS-WG and Five GMS Models under CMIP5 Scenarios

This study investigates the trends of climate change in the Low Folded Zone region of Iraq and provides future projections for daily maximum and minimum temperatures, as well as precipitation. Using the LARS-WG model and five General Circulation Models (GCMs) under three Representative Concentration Pathways (RCP) scenarios, the research aims to provide valuable insights into the anticipated changes in climate variables. The calibration and validation of the model demonstrate its capability to simulate future climatic data, with statistical indices indicating a strong correlation between observed and generated data. The projected future temperatures showed a consistent increase across all selected stations, with average annual maximum temperatures expected to rise by 1.06 to 5.48°C by the end of the twenty-first century. The highest increase in temperatures was predicted under the high-emission scenario RCP8.5. The results also indicated spatial and temporal variations in precipitation patterns, with the annual percentage increase in precipitation ranging from 7.07% to 10.75% for RCP 2.6, 0% to 2.2% for RCP4.5, and 3.7% to 6.8% for RCP8.5. The findings reveal a projected increase in annual temperatures and variable precipitation patterns, highlighting the urgency of proactive measures to address the challenges posed by climate change in the region. The results of this study are crucial for informing decision-makers and planners in developing strategies for climate change adaptation and resource management, particularly in water resource management and agricultural planning.

How to account for spatial trade-offs in planning for urban climate adaptation? Optimizing green and grey infrastructures

Urban Nature-Based Solutions have emerged as sound strategies for urban climate change adaptation, but they lack effective decision-support tools. This paper proposes a decision-support framework that relies on Multi-Objective Optimization (MOO), the consideration of actual space availability, the consideration of the simultaneous objectives of climate change adaptation and water management, the integration of demand for co-benefits, and the participatory exploration of trade-offs for decision-makers. The MOO is applied to the case study of the French city of Bordeaux, to identify the optimal location of Groundwater Recharge Infrastructures (GRI) that include Nature-Based Solutions. It provides decision-makers with spatially explicit solutions for developing GRI, with the objectives of maximizing groundwater recharge, maximizing urban cooling, while minimizing opportunity costs, in the context of urban climate change adaptation. Results indicate an array of solutions between two polar strategies: large scale specialized grey solutions in most effective recharge areas, or diffused Nature-Based Solutions to satisfy citizen demand for multiple benefits. The participatory trade-off analysis proposed in this paper is a novel way to co-design spatial climate change adaptation strategies in urban contexts.

Variations of riskification: Climate change adaptation in four European cities

AbstractThis study explores the manifestations of riskification in climate change adaptation (CCA) across four European cities, examining the roles of actors, discourses, and tools. Through comparative analysis, it aims to delineate local riskification, identifying similarities and differences among the cases. Three intervening factors – ideational frameworks, organization of government, and actor networks – are assessed to comprehend the amplification or deceleration of riskification processes locally. Findings reveal that ideational frameworks shape responses to climate change challenges within each case, while government organization influences CCA strategies and funding mechanisms. Actor networks play a pivotal role in shaping CCA efforts, including measurement, modeling, and monitoring. Despite commonalities, the analysis revealed that the intervening factors are further conditioned in each specific case, albeit in different ways, by aspects not initially considered: the influence of risk culture, risk memory, and technocratic governance in local CCA in each situation. These nuances produce variations of riskification that are locally distinct but equally depoliticize climate change risks, overshadowing broader societal implications and impeding transformative approaches. In particular, the dominance of riskified CCA approaches with technocratic characteristics and limited urgency may hinder innovative strategies required for addressing complex CCA challenges.

Factors Influencing Rural Women’s Adoption of Climate Change Adaptation Strategies: Evidence from the Chivi District of Zimbabwe

The socio-cultural leadership system in rural communities of developing countries is generally gender-biased, thus rendering female-headed households (FHHs) vulnerable to climate change risk. This study explored the factors influencing FHHs’ adoption of a climate change adaptation strategy (CCAS) in Chivi District, Zimbabwe. We used a multistage sampling technique and logistic regression to evaluate 107 women household heads’ livelihood and their decision to adopt the CCAS in Ward 25 of the Chivi District. The results show that the age of the female head significantly influenced the CCAS decision (R2 = −0.073), along with marital status (R2 = 0.110), agricultural training (R2 = 0.133), club membership (R2 = 0.084), and farm size (R2 = 0.014). Access to formal agricultural training plays a prominent role. At the same time, the institutional framework showed variations and laxity on the part of the local government, as access to extension services varies significantly. In addition, education level was reported to have an insignificant (p = 0.098) influence on CCAS adoption. Overall, multiple institutional and socio-economic factors are essential in influencing CCAS decisions. Hence, central and local governments are encouraged to improve outreach strategies on deploying supporting tools, extension agents, and vital stakeholders for strategic information dissemination to sensitize rural dwellers and community leaders on women’s and FHHs’ crucial role in food security and their resilience to climate change risk. Moreover, the educational syllabus can be enhanced at all rural education levels to reshape the norms of future generations against the customary impact of old age on farming approaches and to encourage women’s participation in decision making and interventions, particularly those sensitive to their societal contributions.

Increases of Compound Hot Extremes Will Significantly Amplify the Population Exposure Risk Over the Mid–High Latitudes of Asia

ABSTRACTBased on Coupled Model Intercomparison Project phase 6 (CMIP6) simulations, we found that the frequency and intensity of daytime–nighttime compound hot extremes (HEs) in the mid‐high latitudes of Asia (MHA) are expected to increase. The most significant increase is anticipated under the shared socioeconomic pathway (SSP) 5‐8.5, while the smallest increase is expected under SSP1‐2.6. Notably, unlike the decreasing trends of independent HEs since 2050 under the high emission scenarios, the compound HEs, which comprise the largest proportion, are expected to continuously increase and intensify. To better understand the impact of these changes on human society, we also focused on changes in population exposed to HEs. The findings reveal that population exposure to compound and nighttime HEs is projected to increase most rapidly under SSP3‐7.0, with estimates indicating increases of 10.06 and 3.80 times, respectively, by the end of the century. The most significant increases are expected in the mid‐latitudes, where changes in HEs are most pronounced. Climate change is the primary driver behind the rising population exposure to compound and nighttime HEs, with its impact expected to grow over time. Conversely, exposure to daytime HEs is primarily influenced by population changes, particularly in urban areas. Therefore, effective climate change mitigation and adaptive strategies are crucial to reducing future population exposure to HEs in MHA.

Climate change adaptation and land tenure: exploring pastoral adaptation strategies under communal and private land ownership in Kenya

ABSTRACT Climate change adaptation is critically important for communities in the Global South, especially for those depending on climate-sensitive resources for their livelihoods, such as pastoralist communities. Land is a key asset for the ability of such communities to adapt. However, our understanding of the ways in which pastoral adaptation strategies develop under different land tenure systems – and how such strategies shape local land tenure systems – remains limited. This article conceptualises the relationship between local climate change adaptation strategies and land tenure and examines how adaptation strategies develop under communal and private tenure systems in southern Kenya. The article draws on primary data from a household survey (n = 160) and in-depth qualitative interviews in Kajiado County, Kenya, where Maasai pastoralists are adapting under both communal and private land tenure systems. We find that adaptation strategies vary with the different land tenure systems and we show how the tenure systems shape and are shaped by local adaptation strategies. We further find that wealth and social status influence the ability of households to benefit from and influence land tenure systems. The article contributes to our knowledge on autonomous local climate change adaption by adding insights on the role of land tenure as an important contextual factor. It further highlights the role of pastoralists’ agency as they develop their adaptation strategies and adjust livelihoods beyond livestock and mobility, and how this interacts with communal and private land tenure.

Organic Farming in India: A Dual Strategy for Climate Change Adaptation and Mitigation

Recent decades have transformed Indian agriculture from traditional methods to a mechanized system reliant on fossil fuels, chemical fertilizers, and pesticides, increasing greenhouse gas emissions and impacting global climate. Higher greenhouse gas levels, including carbon dioxide, methane, and ozone are likely, causing the observed rise in air temperatures and leading to significant climate shifts. In most subtropical regions, a 4°C rise in global temperatures is anticipated to reduce groundwater and surface water, heightening food demand and threatening global food security. Climate change denotes long-term, significant alterations in climate measurements. A production system that maintains the health of ecosystems, soils, and human populations is known as organic farming (IFOAM 2006). Organic farming is energy-efficient and reduces greenhouse gas emissions by minimizing chemical and fossil fuel use, while enhancing soil carbon, biodiversity and fertility. It reuses plant and animal waste to restore soil nutrients, relies on renewable resources and supports sustainable, low-pollution management. Organic farming not only helps to mitigate climate change but also provides lasting benefits as an adaptation strategy. Effective nutrient management and carbon sequestration in soils are crucial for adapting and mitigating climate change across diverse temperature zones and local conditions.

Understanding how landscape value and climate risk discourses can improve adaptation planning: Insights from Q-method

Climate change poses significant risks to socio-ecological systems, especially at the local level. Local government climate change adaptation strategies must respond to the physical impacts of a changing climate as well as community perceptions about climate change risks and impacts. However, adaptation strategies often overlook diverse stakeholder perspectives and expectations, potentially leading to ineffective and inequitable outcomes. To build stakeholder support for actions that may be unpopular, honest conversations and debate about policy alternatives are necessary. Using Q-method, we identify different discourses about climate change risk and landscape values among residents of Huon Valley, Lutruwita/Tasmania, and consider how discourses, values, and risk perceptions can inform adaptation planning. Our research revealed four distinct landscape value discourses (“Pristine wilderness”; “Accessible places”; “Rural lifestyle”; and “Coastal connections”). Discourses were differentiated by wilderness preference, prioritization of accessibility, and the significance of industry in the region. We also identified five distinct climate change risk discourses (“Governments must mitigate”; “Individuals must act”; “Community will respond”; “It may be too late”; and “Local government must adapt”). These discourses reveal differing stakeholder perspectives about perceived government responsibility, the prioritization of adaptation over mitigation, and risk appetites versus innate resilience. Results highlight relationships between risk perception and landscape values. If attentive to coupled risk-value discourses, and welcoming of debate about alternative options, policymakers and practitioners could formulate adaptation strategies that better respond to community needs.

Impacts of Climate Change: Examining Precipitation, Temperature Anomalies, and Effects on Water Resources in Turkey

Climate change is a significant global issue that affects our everyday lives and water resources. One of the most critical impacts of climate change is on our water resources, which are vital for sustaining life and supporting various ecosystems. Understanding the complex relationship between climate change and water resources is crucial for developing effective mitigation and adaptation strategies. This study aims to investigate the impact of climate change on water resources and to shed light on the importance of addressing this issue. Water is a limited resource, and its availability and quality directly affect human well-being, agriculture, energy production, and ecosystem health. However, climate change alters the patterns and dynamics of precipitation, temperature, and evaporation, leading to significant changes in water availability and distribution. Increasing global temperatures cause glaciers and ice caps to melt, progressively depleting freshwater resources. Moreover, changing precipitation patterns are leading to more frequent and severe droughts in some regions, while others experience increased rainfall and flooding events. The effects of these changes are profound. As water scarcity becomes more widespread, competition for limited resources intensifies, potentially leading to conflicts and social unrest. Given the importance of water resources and the undeniable impact of climate change on their availability and quality, it is imperative that we deepen our understanding of this complex relationship. This study aims to assess the socio-economic and environmental impacts of climate change on water resources. By doing so, it seeks to provide policymakers, scientists, and communities with information that will guide decision-making processes and direct effective climate change adaptation and mitigation strategies. In conclusion, the impact of climate change on water resources cannot be overstated. This study aims to contribute to our understanding of this critical issue by highlighting the urgency of addressing climate change and its consequences on water resources and sustainability. This study examines the effects of changing precipitation patterns and increasing temperatures due to climate change on underground and surface water resources in Turkey. By conducting this research, we hope to pave the way for informed decision-making and encourage collective responsibility to protect our water resources for future generations.

Exploring the Motives Behind the Adoption of Climate Change Adaptation Strategies among Farmers in the Czech Republic

Climate change threatens agriculture in the EU and is a primary issue discussed in the European Green Deal within the Common Agricultural Policy. Central and Eastern European countries are particularly prone to climate change effects, such as droughts and extreme weather. Therefore, agriculture in Central and Eastern Europe is expected to be increasingly affected by shifting climatic patterns. This study examines the motivation for adopting adaptation strategies derived from climate-smart agriculture among farmers in the Czech Republic. We drew particular attention to analyzing the influence of farm-level and information source variables on the adaptation behavior of Czech farmers. The dataset comprises 358 respondents who were asked about climate change adaptation through a quantitative survey. We analyzed the collected data via descriptive statistics and binary logit regression models. The analysis results reveal a high degree of awareness and a diversified usage of climate change adaptation strategies among the respondents. The close linkage between perceived profitability and the willingness to adapt to climate change requires policymakers to communicate economic benefits within this context further. Information sources, such as topic-specific journals, research institutions, and field training, positively influenced the adaptation rates among the sample. Therefore, we recommend focusing on these media channels to communicate targets set within the European Green Deal.

Evaluating Enteric Fermentation-Driven Environmental Kuznets Curve Dynamics: A Bayesian Vector Autoregression Comparative Study of the EU and Least Developed Countries

Global warming and climate change, primarily driven by human activities, with agriculture playing a significant role, have become central topics of scientific research. Livestock production, especially enteric fermentation, is a major source of greenhouse gas emissions, making it a focal point for both climate change adaptation and mitigation strategies. Both the European Union (EU) and Least Developed Countries (LDCs) are highly dependent on agriculture, particularly livestock, which plays a key role in their economic growth. In developing countries, livestock systems are evolving rapidly due to various factors, while in the EU, the livestock sector remains economically and socially significant, representing 36% of total agricultural activity. This study explores the environmental impact of enteric fermentation in livestock production, alongside the economic value it generates in both the EU and LDCs. The analysis utilizes a Bayesian Vector Autoregression (BVAR) methodology, which provides a more robust performance compared to traditional models like Vector Autoregression (VAR) and the Vector-error Correction Model (VECM). This research identifies significant relationships between the variables studied, with structural breaks quantified to reflect the impact of initiatives undertaken in both regions. Interestingly, the results challenge the environmental Kuznets curve, which hypothesizes an inverted U-shaped relationship between economic growth and environmental degradation, as proposed by Stern. This suggests that stronger economic incentives may be necessary to enhance policy effectiveness and promote eco-efficiency. The distinctive characteristics of livestock production in the EU and LDCs should be carefully considered when shaping agricultural policies, with a strong emphasis on farmer education as a critical factor for success. Additionally, corporate management practices must be tailored to address the unique needs, strengths, and challenges of livestock businesses in these two diverse regions.

Analyzing how the timing and magnitude of electricity consumption drive variations in household electricity-associated emissions on a high-VRE grid

Abstract Electrifying the residential sector is critical for national climate change adaptation and mitigation strategies, but increases in electricity demand could drive-up emissions from the power sector. However, the emissions associated with electricity consumption can vary depending on the timing of the demand, especially on grids with high penetrations of variable renewable energy. In this study, we analyze smart meter data from 2019 for over 100 000 homes in Southern California and use hourly average emissions factors from the California Independent System Operator, a high-solar grid, to analyze household CO2 emissions across spatial, temporal, and demographic variables. We calculate two metrics, the annual household electricity-associated emissions (annual-HEE), and the household average emissions factor (HAEF). These metrics help to identify appropriate strategies to reduce electricity-associated emissions (i.e. reducing demand vs leveraging demand-side flexibility) which requires consideration of the magnitude and timing of demand. We also isolate the portion of emissions caused by AC, a flexible load, to illustrate how a load with significant variation between customers results in a large range of emissions outcomes. We then evaluate the distribution of annual-HEE and HAEF across households and census tracts and use a multi-variable regression analysis to identify the characteristics of users and patterns of consumption that cause disproportionate annual-HEE. We find that in 2019 the top 20% of households, ranked by annual-HEE, were responsible for more emissions than the bottom 60%. We also find the most emissions-intense households have an HAEF that is 1.7 times higher than the least emissions-intense households, and that this spread increases for the AC load. In this analysis, we focus on Southern California, a demographically and climatically diverse region, but as smart meter records become more accessible, the methods and frameworks can be applied to other regions and grids to better understand the emissions associated with residential electricity consumption.

Planned relocation may reduce communities’ future exposure to coastal inundation but effect varies with emission scenario and geography

The planned, permanent relocation of entire communities away from sea level rise (SLR) and coastal floods is an already occurring climate change adaptation strategy. Yet, planned relocations are fraught undertakings with multiple goals, and may or may not achieve their most basic objective: to reduce risk. Here we assess risk of future coastal flooding before and after moving, for three dates and three emissions scenarios, for 17 communities from a global dataset. Most communities achieved exposure reduction with less future inundation in destinations than origin sites, but the extent varies across time and emissions scenario. In all cases, origin sites have projected exposure to SLR plus a once-per-year flood, with increasing exposure under high emissions scenarios and towards 2100. In nine cases, even destination sites have projected inundation exposure under some scenarios. Small-island-to-small-island relocations had more projected inundation in destinations than moves from a small-island-to-mainland, or from mainland-to-mainland.

Building Agricultural Resilience: Strategies for Climate Change Adaptation

Climate change has a significant impact on India's agriculture, influencing environmental conditions, agricultural techniques, and production. The term "climate-resilient agriculture" refers to technologies, methods, tools, and frameworks aimed at adapting to and mitigating the effects of climate change on agricultural production, food security, and livelihoods. Crop productivity and food security are greatly impacted by climate changes, which calls for creative agricultural methods to maintain food supply while reducing environmental damages. These difficulties are made worse by environmental changes and global population expansion, especially in developing countries. Technological advancements, such as geospatial analysis, and eco-friendly farming technologies, play a crucial role in optimizing land use and enhancing food security. Crop variety adaptation and management of seed, water, land, livestock, soil and nutrients, pest management, risk management, and post-harvest management are examples of effective agricultural adaptation strategies. Technological developments like geographic analysis.

Farmers’ Climate Change Adaptation Strategies and Cassava Production in Akoko South West Local Government Area, Ondo State

Farmers’ Climate Change Adaptation Strategies and Cassava Production in Akoko South West Local Government Area, Ondo State

MENTAL HEALTH IN THE CONTEXT OF CLIMATE CHANGE

Climate change has intensified in recent decades, generating devastating consequences for the environment and, consequently, for human health. Mental health has emerged as a critical area of concern, since extreme weather events such as natural disasters, droughts and floods directly impact the psychological well-being of vulnerable populations. This study aims to analyze how climate change influences mental health, focusing on the psychological effects these changes have on communities in situations of vulnerability. The aim of this analysis is to explore how climate change impacts the mental health of vulnerable populations, discussing the main risk factors involved and addressing strategies that can be adopted to minimize these effects. This discussion is relevant because recognizing the emotional consequences of the climate crisis creates a basis for developing public health practices and psychosocial approaches that promote resilience and adaptation. By focusing on the psychological impact of climate change, we aim to contribute to a more comprehensive and inclusive response to the challenges of a changing world. This is a literature review, based on a qualitative approach, using the Scielo, Google Scholar and PubMed databases. To enhance the research, the health descriptors “climate change”, “mental health”, “psychological impacts” and “solastalgia” were used, with a time frame between 2007 and 2020. The methodology adopted for this analysis consists of a comprehensive literature review, using academic sources and reports from health and environmental organizations. The study addresses how extreme weather events, food insecurity and forced displacement affect mental health, leading to an increase in disorders such as anxiety, depression and post-traumatic stress disorder (PTSD). In addition, the social inequalities that aggravate these impacts are discussed, considering that populations with less access to health resources and services are more susceptible to the adverse effects of climate change. It is concluded that climate change poses a significant threat to mental health, especially for vulnerable populations already facing socio-economic challenges. It is essential that public health policies integrate mental health considerations into climate change adaptation and mitigation strategies. Promoting psychological support programs and implementing targeted interventions can help minimize the negative impacts on mental health, strengthening the resilience of affected communities and promoting a more effective response to climate crises.