Climate Change Adaptation Research Articles

Soil-Based Emissions and Context-Specific Climate Change Planning to Support the United Nations (UN) Sustainable Development Goal (SDG) on Climate Action: A Case Study of Georgia (USA)

Soil-based emissions from land conversions are often overlooked in climate planning. The objectives of this study were to use quantitative data on soil-based greenhouse gas (GHG) emissions for the state of Georgia (GA) (USA) to examine context-specific (temporal, biophysical, economic, and social) climate planning and legal options to deal with these emissions. Currently, 30% of the land in GA has experienced anthropogenic land degradation (LD) primarily due to agriculture (64%). All seven soil orders were subject to various degrees of anthropogenic LD. Increases in overall LD between 2001 and 2021 indicate a lack of land degradation neutrality (LDN) in GA. Besides agricultural LD, there was also LD caused by increased development through urbanization, with 15,197.1 km2 developed, causing midpoint losses of 1.2 × 1011 kg of total soil carbon (TSC) with a corresponding midpoint social cost from carbon dioxide (CO2) emissions (SC-CO2) of USD $20.4B (where B = billion = 109, $ = U.S. dollars (USD)). Most developments occurred in the Metro Atlanta and Coastal Economic Development Regions, which indicates reverse climate change adaptation (RCCA). Soil consumption from developments is an important issue because it limits future soil or forest carbon (C) sequestration potential in these areas. Soil-based emissions should be included in GA’s carbon footprint. Understanding the geospatial and temporal context of land conversion decisions, as well as the social and economic costs, could be used to create incentives for land management that limit soil-based GHG emissions in a local context with implications for relevant United Nations (UN) initiatives.

Effects of winter soil warming on crop biomass carbon loss from organic matter degradation

Global warming poses an unprecedented threat to agroecosystems. Although temperature increases are more pronounced during winter than in other seasons, the impact of winter warming on crop biomass carbon has not been elucidated. Here we integrate global observational data with a decade-long field experiment to uncover a significant negative correlation between winter soil temperature and crop biomass carbon. For every degree Celsius increase in winter soil temperature, straw and grain biomass carbon decreased by 6.6 ( ± 1.7) g kg-1 and 10.2 ( ± 2.3) g kg-1, respectively. This decline is primarily attributed to the loss of soil organic matter and micronutrients induced by warming. Ignoring the adverse effects of winter warming on crop biomass carbon could result in an overestimation of total food production by 4% to 19% under future warming scenarios. Our research highlights the critical need to incorporate winter warming into agricultural productivity models for more effective climate adaptation strategies.

Avoiding siloed approaches: Integrating psychological insights into sustainable farming.

This study enhances our understanding of the psychological factors influencing farmers' adoption of sustainable farming practices, specifically those related to achieving NetZero emissions. It achieves this by integrating various psychological theories with practical farming methods within the context of Behavioral-Adoption and Purpose-Driven contexts. The research consisted of two studies. Study 1 employed Exploratory Factor Analysis (EFA) to analyze responses from 438 UK farmers regarding their attitudes toward a series of Net Zero policy commitments, drawing on psychological theories including the Unified Theory of Acceptance and Use of Technology, the Theory of Planned Behavior, the Prototype Willingness Model, Implementation Intentions, Self-Determination Theory, Eudaimonia, and the Integrated Model of Health Literacy. The findings revealed a new Integrated Motivation Model for Sustainable Farming that comprises seven factors: Agricultural Commitment and Stewardship, Sustainable Farming Readiness and Confidence, Sustainable Incentive Engagement and Acceptance, Climate Adaptation Competence and Confidence, Net Zero Accountability and Reporting Commitment, Community Influence and Commitment in Sustainable Farming, and Innovation and Technological Competence. Study 2 validated these factors through the development of a 21-item Integrated Motivation Model for Sustainable Farming scale and use of Confirmatory Factor Analysis (CFA) to confirm the 7-factor structure using a subsample of 418 UK farmers from Study 1 and an additional 230 US farmers. Furthermore, Study 2 tested the concurrent validity of the new scale by demonstrating significant associations with reported sustainable farming behaviors. These findings underscore the complex interplay of motivational, cognitive, and social processes influencing sustainable farming practices. The integrated psychological model developed through this research provides parsimonious and valuable insights for policymakers to foster sustainable practices in farming effectively. The confirmation of this model across farming populations enhances its generalizability and potential to guide targeted interventions aimed at achieving behavioral change in pursuit of Net Zero targets in agriculture.

Wealth inequality and community vitality in the aftermath of the Australian “Black Summer” bushfires

AbstractThis study investigates the adverse impact of community‐level wealth inequality in the aftermath of a natural disaster, and explores the role of community strength (i.e., community identification, cohesion, and identity continuity) in potentially mitigating these negative effects. Using geo‐targeted survey data from communities affected by the 2019/2020 Black Summer Bushfires in Australia (N = 363), we found that greater perceived wealth inequality was associated with lower confidence that the community would make necessary changes to meet the threat of future bushfires, lower collective efficacy regarding future bushfires, and lower anticipated quality of life. However, we also found evidence some of these adverse effects were attenuated among those who reported higher levels of community identification and community cohesion. This study illustrates that problems posed by wealth inequality extend to the context of disaster recovery and climate change adaptation, and further underscores the socially mediated nature of this threat by demonstrating the potential for community strength to play a buffering role.

Evaluating UKCP18-Based weather files for overheating assessment using building simulation: A case study for a flat in london

Global warming and net zero transition are the two biggest challenges currently faced by the building industry in the UK. While the net zero transition primarily focuses on the problems of energy efficiency and heat decarbonization, the rise of global temperature imposes a significant threat to the health and wellbeing of occupants and the industry is obliged to make buildings climate-resilient by testing their designs using future weather files. To improve the quality of the current weather files, a new project has been commissioned by CIBSE to revisit the data and the methodology employed for creating future weather files and produce new CIBSE weather files using the latest UK Climate Projections released in 2018 (UKCP18). In this study, we evaluate the newly produced weather files for overheating risk using building simulation. Two different batches of weather files were curated. The first batch was produced primarily using the existing methodology for creating the UKCP09 based weather files, with an adjustment to accommodate new features of the UKCP18 and an improved procedure for morphing the solar radiation data. The second batch was created through an improved morphing process to better emulate the characteristics of distributions of climatic variables. The differences between the existing UKCP09 and new UCKP18 based weather files are compared by evaluating overheating metrics. The new weather files enable robust building performance assessment against future climate conditions under different scenarios and will play an important role in designing climate-resilient buildings and delivering a net zero built environment. Practical applications As the extreme weather events resulting from climate change become more frequent and intense, they pose significant challenges to the resilience of the built environment and severe threats to the health and wellbeing of the occupants. Climate data, which serves as the foundation for climate risk assessment, plays a critical role in helping the building sector to achieve climate resilience through the means of performance assessment and the channel of regulatory compliance. In this study, the revised future weather files created using the latest UKCP18 climate projections are presented and evaluated using building simulation, as part of the weather file testing programme for quality assurance. The revision of the CIBSE weather files according to the latest climate science, i.e. UKCP18, will enable the building industry to quantify overheating risks with more accurate climate assumptions and better inform decision making about risk mitigation and climate adaptation.

Heatwave Intensifications in Armenia: Evidence From Temporal and Spatial Analysis of Observational Data Over the Last Decades

ABSTRACTIncreasing temperatures cause the weather to become more severe. Studying how heatwaves (HWs) impact individual heat exposure and susceptibility is vital for building climate change mitigation and adaptation measures. So, this study explores the impact of HWs on individual heat exposure and susceptibility. The assessment was based on the highly complex topographic region contribution to HWs in the Republic of Armenia (RA) using data from 16 meteorological stations for the extended warm season (May–September). We developed a regional HW catchment program to estimate the HW indices' responses to climatic change and to present them in terms of topography changes. The Mann–Kendall (MK) test was used to determine the statistical significance of the trends for 10 distinct HW indicators using linear and exponential trends along with graphical interpretations. This study reveals a large‐scale, significant increasing trend in annual maximum temperatures (Tmax) and observed HWs over the period 1955–2019. The rising temperature is accompanied by an increase in HW indices, particularly at low altitudes up to 1250 m above sea level (ASL), where the main population centres and national crop production are concentrated. According to our classification, the above‐mentioned areas have faced extreme and severe increases in HW intensity, covering more than 60% of the country's territory. Moreover, not only the intensity and frequency have been identified but the HW period extension as well. This extreme increase has been found in the low‐lying highly populated and intensively cultivated areas, such as in the Ararat valley. These results have implications for future climate assessments, adaptation strategies, agriculture and public health in Armenia. The development of targeted mitigation measures and adaptation strategies informed by these findings is essential for addressing the escalating challenges posed by HWs in the region.

The Effect of Adding Green and Black Tea Waste Extracts on Rumen Fermentation Parameters by In Vitro Techniques

The increase in global temperatures over the past few decades due to greenhouse gas emissions has raised concerns and necessitated further research in climate change mitigation and adaptation. Methane is a prominent greenhouse gas that significantly contributes to climate change, with a substantial amount generated through fermentation processes occurring in the rumen of ruminant animals. The potential of plant secondary metabolites, especially those derived from tannin-rich plants, warrants investigation to modify rumen fermentation and mitigate methane emissions in livestock diets. The objective of this study was to assess the impact of extracts obtained from green and black tea waste on rumen fermentation dynamics and gas (methane) production, utilizing in vitro methods. For this purpose, rumen fluid was collected from two fistulated sheep and subjected to three treatments: (1) a basal diet (control), (2) a basal diet + green tea waste extract (5% of dry matter), (3) a basal diet + black tea waste extract (5% of dry matter). The study assessed the effects of incorporating extracts from green and black tea waste on various parameters, including digestibility, protozoa population, ammonia nitrogen levels, volatile fatty acids, and methane gas production following a 24-h incubation period. Statistical analysis of the data was conducted using SAS software within a completely randomized design framework. The findings indicated that the addition of green and black tea waste extracts significantly decreased methane gas production (p < 0.05), protozoa count (p < 0.05), and ammonia nitrogen concentrations in rumen fluid (p < 0.05) when compared to the control group. The addition of green and black tea waste extracts has significantly altered the concentration of VFAs in rumen fluid (p < 0.05). Specifically, the addition of green tea waste extract has led to a highly significant reduction in acetic acid, (p < 0.01) and the addition of both extracts has resulted in a significant increase in propionic acid (p < 0.05). Consequently, the results suggest that the inclusion of green and black tea waste extracts in livestock diets may effectively mitigate methane emissions in the rumen, thereby reducing feed costs and reducing environmental pollution.

Social vulnerability to food insecurity in Sub-Saharan Africa: exploring the connection between climate change, funeral rites and food insecurity in rural Ghana

ABSTRACT Climate Change and food security remain one of the topical issues discussed globally. In Ghana, the literature has reported on the effects of climate change on the food consumption patterns of many households due to low adaptive capacity and inefficient food production systems. In addition to climate change as a threat to food security, funeral rites also play a major role in household food insecurity. However, the link between climate change, funeral rites and food security as indices of social vulnerability has been less investigated. Using a qualitative-dominance approach to research with 8 key informant interviews, 4 focus group discussions (FGDs) and a questionnaire, the analysis revealed that climate change and funeral rites are critical determinants of food insecurity in the Kassena Nankana Municipality of the Upper East Region of Ghana. The results show that while climate change affects the food production systems, the poorly harvested farm produce and livestock are used for the funeral rites of the deceased’s household family. While being sensitive to the cultural aspects of the uses of farm produce and livestock for funeral rites, and given the prevailing climatic conditions, the study recommends the need for traditional authorities and households to consider holding less expensive funeral rites which do not expend future food needs and resources. Again, localised climate change adaptation strategies need to be developed by the Ministry of Food and Agriculture to support the activities of agriculture in the municipality which is widely known to be susceptible to climate change.

Lake temperature and morphometry shape the thermal composition of recreational fishing catch

AbstractObjectiveManaging freshwater fisheries in warming lakes is challenging because climate change impacts anglers, fish, and their interactions.MethodsWe integrated recent models of current and future lake temperatures with recreational fisheries catch data from 587 lakes in three north‐central U.S. states (Michigan, Minnesota, and Wisconsin) to evaluate how the thermal composition of recreational fisheries catch varied as a function of temperature, ice coverage, and lake morphometry.ResultWe found that warmwater catch share (WCS), defined as the proportion of fish in recreational angling catch that belonged to the warmwater thermal guild (final temperature preferendum [FTP] > 25°C), increased with average annual lake surface temperature and decreased with survey ice coverage. However, we also found that WCS decreased with increased lake area and depth. Using mid‐century (2040–2060) water temperature and ice projections while holding all other variables constant, we predicted that WCS will likely increase as the climate warms but that significant thermal heterogeneity will persist.ConclusionLakes that are large (>100 ha) and deep (>10 m) and those with cooler (<3700 annual growing degree‐days) predicted future temperatures will likely hold thermal refugia for coolwater (FTP = 19–25°C) and coldwater (FTP < 19°C) fish even as average lake temperatures rise, creating the potential for management actions to resist the shift from coolwater to warmwater fisheries. Managers of smaller and more rapidly warming lakes may want to consider strategies that accept or direct emerging warmwater fishing opportunities. We suggest that the most viable path to climate adaptation in landscapes of diverse lakes may be to resist warmwater shifts where possible and to accept or direct the rise of warmwater fishing opportunities where necessary.

Xanthium strumarium L., an invasive species in the subtropics: prediction of potential distribution areas and climate adaptability in Pakistan

Invasive species such as Xanthium strumarium L., can disrupt ecosystems, reduce crop yields, and degrade pastures, leading to economic losses and jeopardizing food security and biodiversity. To address the challenges posed by invasive species such as X. strumarium, this study uses species distribution modeling (SDM) to map its potential distribution in Pakistan and assess how it might respond to climate change. This addresses the urgent need for proactive conservation and management strategies amidst escalating ecological threats. SDM forecasts a species’ potential dispersion across various geographies in both space and time by correlating known species occurrences to environmental variables. SDMs have the potential to help address the challenges posed by invasive species by predicting the future habitat suitability of species distributions and identifying the environmental factors influencing these distributions. Our study shows that seasonal temperature dependence, mean temperature of wettest quarter and total nitrogen content of soil are important climatic factors influencing habitat suitability of X. strumarium. The potential habitat of this invasive species is likely to expand beyond the areas it currently colonizes, with a notable presence in the Punjab and Khyber Pakhtunkhwa regions. These areas are particularly vulnerable due to threats to agriculture and biodiversity. Under current conditions, an estimated 21% of Pakistan’s land area is infested by X. strumarium, mainly in upper Punjab, central Punjab and Khyber Pakhtunkhwa. The range is expected to expand in most regions except Sindh. The central and northeastern parts of the country are proving to be particularly suitable habitats for X. strumarium. Effective strategies are crucial to contain the spread of X. strumarium. The MaxEnt modeling approach generates invasion risk maps by identifying potential risk zones based on a species’ climate adaptability. These maps can aid in early detection, allowing authorities to prioritize surveillance and management strategies for controlling the spread of invasive species in suitable habitats. However, further research is recommended to understand the adaptability of species to unexplored environments.

A review on social work and climate change: the need for a transdisciplinary approach

ABSTRACT Climate change is a global emergency due to its social and economic impacts. This comprehensive review examines how climate change affects society and emphasises the role of social work in solving this problem with a multidisciplinary approach. Despite the least responsible, marginalised groups suffer hugely from climate change impacts and the global GDP will plummet, if no action is taken to mitigate its effects causing severe economic hardship for developing nations, and marginalised communities, which already face inequalities, resource shortages, and poor governance. There is a necessity for strategies to lower vulnerable population risks, thus emphasising the role of social work in addressing the inequalities of the climate change impacts. This paper discusses how social work concepts relate to environmental challenges and how they advocate for sustainability during climate change adaptation and mitigation, and promote environmental justice. Furthermore, the review also emphasises the need for transdisciplinary action on climate change. Scopus and Google Scholar databases was used to retrieve literature, based on the review questions, 51 literature items were selected for the evaluation and case examples. The review concludes that transdisciplinary action, including social workers’ role in decision-making and implementation, can create an equitable climate change mitigation plan.

Resistance of Australian fish communities to drought and flood: implications for climate change and adaptations

Climate change‐induced extreme weather and related drought and flood conditions are heterogeneous across space and time. The variability in location, timing, and magnitude of rainfall can alter how species respond to the drought and flood disturbances. To further complicate this matter, when droughts end they are often followed by extreme flooding, which are rarely considered as a disturbance (Humphries et al. 2024), let alone assessed with its own heterogeneity. Consequently, it is difficult to quantify impacts on ecological communities across large spatiotemporal scales without considering flood‐drought disturbance characteristics in sequence (Burton et al. 2020). We hypothesized that native organisms have evolved resistance to withstand repeated cycles of drought‐flood disturbances, and that established non‐native species have adapted to persist in novel conditions. To test this, we fit spatiotemporal models of species occurrence with local rainfall patterns as covariates in the drought and flood impacted Murray‐Darling basin in Australia during the decade long Millenium Drought, and its recovery period. During these drought conditions, river‐floodplain organisms in the Murray‐Darling became localized in refugia that limited longitudinal and lateral connectivity (Bond et al. 2008), and following flooding the same organisms were exposed to dispersal and recruitment opportunities (Humphries et al. 2020), as well as to hypoxic blackwater events that lead to the mortality of aquatic organisms (Small et al. 2014). At the basin‐scale we found that the range size of most native and non‐native fishes were highly resistant to the extreme drought and post‐flood conditions. At local scales, species richness, or detection, actually increased under drought conditions. Both findings highlight the resistance of species to climate change driven extreme weather, which opens new questions on community adaptations.

Multicriteria analysis as a method for engaging stakeholders and citizens in activities aimed at supporting climate resilience and adaptation to climate change – Gdansk Coastal City Living Lab case study

<b>Multicriteria analysis as a method</b> for engaging stakeholders and citizens in activities aimed at supporting climate resilience and adaptation to climate change – Gdansk Coastal City Living Lab case study

Perception, problems, and risks to climate change adaptation: A study adjacent to sundarbans mangrove forest, Bangladesh

The south-western coastal area of Bangladesh proximity to Sundarbans is a hot spot of climate change. The perception and problems along with associated risks to the adaptation of climate change are not well understood. However, the present study was conducted in 2020–2021 through a multistage sampling technique, questionnaire survey, and focus group discussions (FGD). In addition, the Likert scale and the INFORM model are used to understand perceptions, problems, and extent of risks response to climate change adaptation in the study area. This study illustrates that early-aged illiterate, medium families (5–7 in numbers) and $ 18.45–$ 36.88 per month income level are more susceptible to the adaptation of climate change. The majority of the respondents are dependent on natural resources, such as rainwater (67.3%), dried leaves (65.4%, and fishing from Sundarbans (80.6%). Besides, most of the respondents experienced disasters (66.7%), water logging and salinity (65.05%), waterborne diseases (89.5%), and monetary problems (81%), which forced them to stay in a more critical lifestyle. The perception level was high in the unconcerned level (77.15%) followed by concerned (11.4%) and very concerned (9.5%), while only 1.95% showed neutral and none of them were very concerned. Likewise, in the study region, respondents are confronted with a variety of risks and exposure (42%), vulnerabilities (33%), and lack of capacity (25%). Also, significant differences in perception level and no significant differences were observed in risk level in this study. These findings insights into the necessity of educational and financial interventions to optimize identified risks and problems and increase the perception level of effective policy-making processes and adaptation strategies to the adaptation of climate change.

Corrigendum to “Insurgent climate adaptation in Santiago de Cali: Resisting and reshaping flood-risk resettlements”

Corrigendum to “Insurgent climate adaptation in Santiago de Cali: Resisting and reshaping flood-risk resettlements”

Natural forest regeneration is projected to reduce local temperatures

Forest regeneration is a crucial strategy for mitigating and adapting to global warming. Yet its precise impact on local climate remains uncertain, a factor that complicates decision-making when it comes to prioritizing investments. Here, we developed global maps illustrating how natural forest regeneration influences key local climate drivers—land surface temperature (LST), albedo, and evapotranspiration—using models fitted at a 1-km spatial resolution with a random forest classifier. We found that natural forest regeneration can alter annual mean LST by 0.01 °C, −0.59 °C, −0.50 °C, and −2.03 °C in Boreal, Mediterranean, Temperate, and Tropical regions, respectively. These variations underscore the region-specific effects of forest regeneration. Importantly, natural forest regeneration reduces LST across 64% of 1 billion hectares and 75% of 148 million hectares of potentially restorable land under different scenarios. These findings improve understanding of how forest regeneration can help regulate local climate, supporting climate adaptation efforts.

The roles and unexplored potential of policy experimentation in climate adaptation governance: A systematic literature review

AbstractPolicy experimentation has emerged globally as a novel governance approach to address complex socio‐environmental problems. In the climate adaptation literature, policy experiments that test technical and governance innovations on a small scale in real‐world conditions are increasingly utilized to explore new pathways for climate adaptation. However, there is a lack of empirical evidence on how policy experiments lead to transformative change in climate adaptation governance, particularly regarding their role as a change strategy. This systematic literature review aims to thoroughly investigate the topic by mapping the empirical characteristics of policy experiments, their role and their outcomes. An existing analytical framework was adapted to fulfill this objective by qualitatively and quantitatively analyzing 27 empirical papers. The findings reveal that policy experiments in climate adaptation often address multiple climate hazards, sectors and actors, yet they are spatially and temporally limited, being predominantly located in Europe. Moreover, the study highlights the transformative potential of policy experiments in climate adaptation governance, emphasizing their effectiveness in testing technical and governing innovations, as well as implementing adaptation policies. Policy experiments predominantly contribute to social learning rather than direct policy changes, requiring specific strategies to upscale the knowledge generated. We conclude the paper with a research agenda that stresses the need for more cumulative and comparative (post)assessments of climate adaptation experiments. This is important given the potential of policy experiments as governing approaches in the advancement of climate adaptation.

Commonwealth Caribbean Cities, Climate Change Adaptation and Resilience: Empowering Local Government

Commonwealth Caribbean Cities, Climate Change Adaptation and Resilience: Empowering Local Government

Review of gender and climate change adaptation among rural households: The cases of Ghana and the Gambia

Review of gender and climate change adaptation among rural households: The cases of Ghana and the Gambia

Climate Change in Canadian Civil Engineering Curricula: Gaps and Best Practices

This study examines the state of curricula, knowledge, and practices in Canada’s civil engineering programs with respect to climate change, identifies best practices, and formulates recommendations on ways to improve climate change knowledge and skills training for Canadian civil engineering programs. A survey based on the Climate Framework was distributed to 856 civil engineering instructors across all 25 accredited engineering schools listed by Engineers Canada and gathered data on 55 civil engineering climate change related courses, with representation from 20 out of the 25 accredited programs across the country. The results of this study provide important benchmarks to help instructors incorporate most relevant climate change topics and resources into their courses for equipping civil engineering students with the necessary skills to tackle emerging challenges related to the mitigation of climate change and adaptation to wildfires, droughts, sea level rise, increased precipitation, storms, heat domes, floods, earthquakes, and biodiversity loss.