Climate Change Adaptation Strategies Research Articles

Simplified equations for wet bulb globe temperature estimation in Bangladesh

AbstractThe increasing temperatures and shifts in meteorological conditions have heightened the vulnerability of Bangladesh's densely populated regions, known for their high heat and humidity, to potential health hazards. While the Wet Bulb Globe Temperature (WBGT) is a widely acknowledged and robust measure for evaluating heat stress in various occupational and outdoor environments, its widespread application is impeded by the complexity of calculations, the substantial computational resources required, and the need for specialized expertise, particularly in developing nations. Therefore, this study aimed to develop simplified equations for estimating WBGT in Bangladesh using meteorological variables. This study applied Liljegren's model on high‐resolution reanalysis data of the European Centre for Medium‐Range Weather Forecasts (ERA5) to calculate WBGT from 1979 to 2021. Subsequently, linear and nonlinear regressions were used to derive simplified equations for estimating Liljegren WBGT in Bangladesh. The quadratic regression models offer simplified equations for WBGT estimation. The model with only temperature (Ta) as an input estimates WBGT with an R2 of 0.967 and an RMSE of 0.716, effectively capturing a significant portion of WBGT variability. The inclusion of solar radiation (SR) with Ta improved the performance, with an R2 of 0.996 and an RMSE of 0.242. The best parsimonious model, with an R2 of 0.986 and an RMSE of 0.471, is derived when wind speed is considered with Ta and SR inputs, achieving an R2 of 0.993 and an RMSE of 0.331. Comprehensive graphical and statistical analyses confirm the high accuracy of all models. The three‐input model notably demonstrates exceptional performance, attaining optimal values for critical metrics, including extreme WBGT. The results affirm the practical suitability of the derived models for accurate estimations of WBGT in Bangladesh. These equations provide simplified tools for assessing heat stress conditions, contributing to public health initiatives, occupational safety guidelines, and climate change adaptation strategies.

Strategies for monitoring and evaluation of climate change adaptation: localizing global approaches into Andean realities

While there is increasing progress made at the global scale on understanding climate change (CC) impacts and implementing adaptation solutions, there is still a major gap in documenting and assessing the effectiveness of monitoring and evaluation (M&E) systems for CC adaptation. This is particularly challenging if we consider the diversity of local perceptions and interpretations of what CC adaptation concretely means and how to measure it. We evaluate how global approaches on M&E to CC adaptation are being localized in the design and implementation of public policies and territorial strategies for CC adaptation in the Andes in four national and local case studies in Colombia, Ecuador, Peru and Bolivia. The analysis is based on a review of the status of national programs for M&E of CC adaptation and the implementation in those countries of the project “Adaptation to Climate Change Impacts in Water Resources in the Andes” (AICCA). The M&E systems in the four case studies differed widely in the way in which global M&E approaches are localized, reflecting the diversity of conceptions, goals, strategies and contexts in which adaptation is being implemented as well as power relations among actors and scales. Despite the diversity of implementation contexts and the complexity of monitoring the responses of socio-ecological systems, the M&E proposals share a focus on biophysical indicators over sociopolitical and institutional indicators. In addition, this study emphasizes the need to further implement participatory M&E systems from the community, to improve the territorial articulation of M&E proposals in the Andean region.

Quantifying the environmental synergistic effect of cooling-air purification-carbon sequestration from urban forest in China

Urban forest is considered nature-based solution for mitigating the adverse impacts of climate change. However, large-scale quantification of urban forest synergistic effect is still limited. This study integrated multi-source remote sensing data, machine learning, and geospatial methods to quantify the synergistic effect (i.e., spatial interaction) of urban forest on urban heat island, PM2.5 concentration, and carbon stock and its driving mechanism in China. Results showed that urban forest explained 60–71% of the synergistic effect, which was greater than on the individual environmental factors, but decreased by 15.62% from 2000 to 2020. Moreover, urban forest synergistic effect exhibited an obvious spatial-temporal patterns of north-south heterogeneity and was dominated by anthropogenic factors. We further identified the “evolutionary gene” of urban forest, i.e., the similarity rule in the synergistic effect among cities during their development process. This knowledge contributes to the sustainable resource development of climate change adaptation strategies.

Flood-irrigated agriculture mediates climate-induced wetland scarcity for summering sandhill cranes in western North America.

Information about species distributions is lacking in many regions of the world, forcing resource managers to answer complex ecological questions with incomplete data. Information gaps are compounded by climate change, driving ecological bottlenecks that can act as new demographic constraints on fauna. Here, we construct greater sandhill crane (Antigone canadensis tabida) summering range in western North America using movement data from 120 GPS-tagged individuals to determine how landscape composition shaped their distributions. Landscape variables developed from remotely sensed data were combined with bird locations to model distribution probabilities. Additionally, land-use and ownership were summarized within summer range as a measure of general bird use. Wetland variables identified as important predictors of bird distributions were evaluated in a post hoc analysis to measure long-term (1984-2022) effects of climate-driven surface water drying. Wetlands and associated agricultural practices accounted for 1.2% of summer range but were key predictors of occurrence. Bird distributions were structured by riparian floodplains that concentrated wetlands, and flood-irrigated agriculture in otherwise arid and semi-arid landscapes. Findings highlighted the role of private lands in greater sandhill crane ecology as they accounted for 78% of predicted distributions. Wetland drying observed in portions of the range from 1984 to 2022 represented an emerging ecological bottleneck that could limit future greater sandhill crane summer range. Study outcomes provide novel insight into the significance of ecosystem services provided by flood-irrigated agriculture that supported nearly 60% of wetland resources used by birds. Findings suggest greater sandhill cranes function as a surrogate species for agroecology and climate change adaptation strategies seeking to reduce agricultural water use through improved efficiency while also maintaining distinct flood-irrigation practices supporting greater sandhill cranes and other wetland-dependent wildlife. We make our wetland and sandhill crane summering distributions available as interactive web-based mapping tools to inform conservation design.

A story of (in)coherence: climate adaptation for health in South African policies.

Climate adaptation strengthens and builds the resilience of health systems to future climate-related shocks. Adaptation strategies and policies are necessary tools for governments to address the long-term impacts of climate change and enable the health system to respond to current impacts such as extreme weather events. Since 2011 South Africa has national climate change policies and adaptation strategies, yet there is uncertainty about: how these policies and plans are executed; the extent to which health policies include adaptation; and the extent of policy coherence across sectors and governance levels. A policy document analysis was conducted to examine how South African climate change, development and health policy documents reflect the health adaptation response across national and Western Cape levels and to assess the extent of coherence across key health and environment sector policy documents, including elements to respond to health-related climate risks, that can support implementation. Our findings show that overall there is incoherence in South African climate adaptation within health policy documents. Although health adaptation measures are somewhat coherent in national level policies, there is limited coherence within Western Cape provincial level documents and limited discussion on climate adaptation, especially for health. Policies reflect formal decisions and should guide decision-makers and resourcing, and sectoral policies should move beyond mere acknowledgement of adaptation responses to a tailored plan of actions that are institutionalized and location and sector specific. Activities beyond documents also impact the coherence and implementation of climate adaptation for health in South Africa. Clear climate risk-specific documents for the health sector would provide a stronger plan to support the implementation of health adaptation and contribute to building health system's resilience.

Climate projection and future rainfall trends analysis in the Nouhao sub-basin in Burkina Faso.

<p>Climate change is an indicator of changes happening in the biosphere. Monitoring it, will anticipating actions against the resulting disasters. This study, undertaken in Burkina Faso Nouaho sub basin, gives an overview of rainfall in the near, medium and long terms. It is built on regional climates models which are climates projections from global climate models downscaling. These models are generated basis on scenarios like greenhouse gas emissions and radiative forcing called Regional Concentration Pathways (RCP). The two scenarios RCP 4.5 and RCP 8.5 chosen in this study, have enabled to identify a rainfall regional climate model whose output corrected basis on Nouhao sub-basin observation data, highlight changes in sub-basin future precipitation. Over the three defined normal, i.e. normal 1 (2021-2050), normal 2 (2051-2080) and normal 3 (2071-2100), cumulative annual rainfall mean shows a downward trend under the RCP 4.5 scenario, and an upward trend under the RCP 8.5 scenario. The Standardized Precipitation Index (SPI) for the RCP 4.5 scenario shows very wet years at the start of normal 1, before giving way to alternating years close to normal rainfall, in normal 2 and 3. In the RCP 8.5 scenario, the SPI shows a dominance of dry years in normal 1. In normal 2 and 3, wet and very wet years return to dominate. The spatial dynamics of future rainfall, meanwhile, show a latitudinal shift in annual rainfall totals towards the south-east of the sub-basin under the RCP 4.5 scenario, and towards the north-west under the RCP 8.5 scenario. The climate projection thus highlights possible future changes in precipitation in the sub-basin. Its consideration could form the basis for the implementation of climate change adaptation strategies in the area.</p>

LOCAL SELF-GOVERNMENT INSTITUTIONS AND CLIMATE CHANGE: THE CASE OF MEENANGADI PANCHAYAT IN KERALA

India faces significant vulnerability to the effects of climate change, attributed to its varied geography, substantial population, and reliance on agriculture. The nation encounters numerous climate-related challenges, including more frequent and severe extreme weather events like heatwaves, droughts, floods, and cyclones. Dealing with this intricate matter necessitates a comprehensive and cooperative strategy that extends beyond conventional top-down governance models. Local governments have a vital role in formulating and executing climate change adaptation strategies. They assess local vulnerabilities, identify priority areas, and formulate plans to build resilience and reduce risks. This can involve measures such as infrastructure improvements, land-use planning, water management, and public health initiatives tailored to the specific needs of the community. Local governments often collaborate with stakeholders, including businesses and residents, to achieve greenhouse gas reduction targets. India has pledged to become carbon neutral by the year 2070, and achieving carbon neutrality is a complex and multi-faceted endeavour that requires coordinated efforts across sectors and levels of government. The carbon-neutral Meenangadi in the Wayanad district of Kerala is a perfect example of successful local self-government taking measures to achieve carbon neutrality.

Using Data Mining Techniques to Develop Climate Change Mitigation and Adaptation Strategies in Nigeria

Climate change is a severe and growing challenge facing Nigeria, with significant impacts on the country's economy, environment, and society. To cope with this challenge, there is a need for climate change mitigation and adaptation strategies that are evidence-based and tailored to the country's unique vulnerabilities and opportunities. This study aimed to develop such strategies using data mining techniques. A range of climate and non-climate data sources were explored to identify key drivers of climate change in Nigeria and their associated impacts on different sectors, such as agriculture, water resources, and energy. Subsequently, data mining algorithms, including decision trees, clustering, and association rule mining, were applied to model and analyze the complex relationships between these drivers and their impacts on the sectors. The study found that a combination of mitigation and adaptation measures could be effective in reducing the severity of climate change impacts in Nigeria. These measures include promoting the use of renewable energy sources, improving water-use efficiency, and developing climate-smart agricultural practices. The data mining techniques used in this study proved useful for identifying these measures and for predicting their effectiveness under different scenarios. The results of this study provide important insights to policymakers and practitioners in Nigeria and other countries facing similar climate change challenges. It also highlights the potential of data mining techniques for developing climate change mitigation and adaptation strategies that are evidence-based, effective, and tailored to specific local contexts. Overall, this study contributes to the growing body of literature on leveraging data mining and machine learning techniques for addressing complex environmental and societal challenges.

Role of Governance in Implementing Climate Change Adaptation Strategies in the Congo Basin Case of Cameroon and the Democratic Republic of Congo

The low adaptability capacity of the Central African sub-region to climate change has made it one of Africans’ most vulnerable sub-regions in the continent as this sub-region depends heavily on resources sensitive to climate change. Cameroon and the Democratic Republic Congo are host to the world's second largest rainforest after the Amazon. This implies that climate change will undermine development in this sub-region and the rest of the continent as the effects of climate change are faced more by the most vulnerable. There is however rising interest in SSA to mitigate and adapt climate change solutions. While such efforts exist, knowledge on the governance arrangements exist in very fragmented forms. Specifically, knowledge on how global climate changes processes is reflected in national policies remain relatively less studied. So too are their limited evidence on how national policies play out at local level. Such knowledge deficits stall scientific evidence building and policy orientation to strengthen climate adaptation practices in countries of SSA, with Cameroon and DRC being classical examples. Yet theory building on climate change governance requires such context specific evidence. In addition, for a comprehensive policy to be adopted and made effective, climate change actions require such scientific evidence. This therefore validates the need to analyze how such global processes are framed into national policy and policy instruments for climate mitigation and adaptation, and to establish the connections and disconnections between what is framed at national level and what applies at local level in terms of climate change policy instrument and what explains such variations. Though effective climate action requires political commitment, well-aligned multi-level governance and institutional frameworks, laws, policies and strategies, as outlined by the Intergovernmental Panel on Climate Change (IPCC), there is still need for clear goals, adequate finance and financing tools, coordination across multiple policy domains, and inclusive governance processes in Cameroon and the Democratic Republic of Congo to harness these goals. This study investigated the role of governance in implementing climate change adaptation in Cameroon and the DRC. This research therefore aimed at examining the role of governance in implementing climate change adaptation strategies in Cameroon and the DRC. The study made use of primary and secondary data which was analyzed using content analysis to triangulate the relationship that exist between governance and the implementation of climate change adaptation strategies in Cameroon and the DRC. Results highlight the dominant role of governance in shaping adaptation efforts, challenges in implementation, spatial disparities, and the influence of national policies and stakeholder engagement. Policy recommendations emphasize the need for improving governance structures, enhancing stakeholder participation, mainstreaming gender considerations, and addressing financial constraints to build resilience and effectively respond to climate change impacts in both countries. The findings underscore the importance of context-specific strategies that prioritize inclusivity, transparency, and collaboration to address the complex challenges posed by climate change.

Plant Physiological Performances, Plant Growth, Grain Yield and Methane Emission of Rice (Oryza Sativa L.) in Response to Water Management as Adaptation Strategy for Climate Change

Continuously flooded rice systems are a major contributor to the greenhouse gases (GHG) emissions in the agriculture sector in Malaysia. Intermittent irrigation has been recommended to replace conventional rice water management to save water and reduce GHG emissions without compromising rice yields. This study was conducted in two growing seasons at Malaysia’s largest rice granary area to determine the effectiveness of different water management practices on conserving water, mitigating GHG and maintaining rice grain yields. Three water management treatments were continuous flooding (CF), saturated and wet conditions from transplanting to heading and flooding until maturity (S-F) and continuous saturated and wet conditions (CS). The results showed that S-F and CS reduced water inputs between 15.0-16.8% and 32.0-34.0% as compared to CF, respectively. Water-saving treatments mostly did not significantly affect the plant's physiological performance, plant growth parameters, growth rate, grain yield and yield parameters. The results indicated that soil saturated and wet conditions provided adequate soil moisture content for the plant’s requirement similar to flooding conditions. Maintaining soil at saturated and wet conditions during the vegetative stage reduced 24.18-39.76% of methane emissions. However, maintaining soil at saturated and wet conditions throughout the growing season reduced 34.52-55.08% of methane emissions. In conclusion, intermittent irrigation could be an effective adaptation technique for simultaneously saving water and mitigating GHG while maintaining high rice grain yields in rice cultivation systems.

Intra-Annual Cumulative Effects and Mechanisms of Climatic Factors on Global Vegetation Biomes’ Growth

Previous studies have shown that climate change has significant cumulative effects on vegetation growth. However, there remains a gap in understanding the characteristics of cumulative climatic effects on different vegetation types and the underlying driving mechanisms. In this study, using the normalized difference vegetation index data from 1982 to 2015, along with accumulated temperature, precipitation, and solar radiation data, we quantitatively investigated the intra-annual cumulative effects of climatic factors on global vegetation biomes across climatic zones. We also explored the underlying driving mechanisms. The results indicate that precipitation has a longer intra-annual cumulative effect on vegetation, with effects lasting up to 12 months for large percentages of most vegetation biomes. The cumulative effect of solar radiation is mostly concentrated within 0–6 months. Temperature has a shorter cumulative effect, with no significant cumulative effect of temperature on large percentages of tree-type vegetation. Compared to other vegetation types, evergreen broadleaf forests, close shrublands, open shrublands, savannas, and woody savannas exhibit more complex cumulative climatic effects. Each vegetation type shows a weak-to-moderate correlation with accumulated precipitation while exhibiting strong-to-extremely-strong positive correlations with accumulated temperature and accumulated solar radiation. The climate-induced regulations of water, heat, and nutrient, as well as the intrinsic mechanisms of vegetation’s tolerance, resistance, and adaptation to climate change, account for the significant heterogeneity of cumulative climatic effects across vegetation biomes in different climatic zones. This study contributes to enriching the theoretical understanding of the relationship between vegetation growth and climate change. It also offers crucial theoretical support for developing climate change adaptation strategies and improving future “vegetation-climate” models.

Land suitability analysis for turmeric crop for humid tropical Kerala, India, under current and future climate scenarios using advanced geospatial techniques.

Turmeric cultivation primarily thrives in India, followed by Bangladesh, Cambodia, Thailand, China, Malaysia, Indonesia and the Philippines. India leads globally in both area and production of turmeric. Despite this, there is a recognized gap in research regarding the impact of climate change on site suitability of turmeric. The primary objective of the present study was to evaluate both the present and future suitability of turmeric cultivation within the humid tropical region of Kerala, India, by employing advanced geospatial techniques. The research utilized meteorological data from the Indian Meteorological Department for the period of 1986-2020 as historical data and projected future data from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Four climatic scenarios of shared socioeconomic pathway (SSP) from the Intergovernmental Panel on Climate Change AR6 model of MIROC6 for the year 2050 (SSP 1-2.6, SSP 2-4.5, SSP 3-7.0 and SSP 5-8.5) were used. The results showed that suitable area for turmeric cultivation is declining in future scenario and this decline can be primarily attributed to fluctuations in temperature and an anticipated increase in rainfall in the year 2050. Notable changes in the spatial distribution of suitable areas over time were observed through the application of geographic information system (GIS) techniques. Importantly, as per the suitability criteria provided by ICAR-National Bureau of Soil Survey and Land Use Planning (ICAR-NBSS & LUP), all the districts in Kerala exhibited moderately suitable conditions for turmeric cultivation. With the GIS tools, the study identified highly suitable, moderately suitable, marginally suitable and not suitable areas of turmeric cultivation in Kerala. Presently 28% of area falls under highly suitable, 41% of area falls under moderately suitable and 11% falls under not suitable for turmeric cultivation. However, considering the projected scenarios for 2050 under the SSP framework, there will be a significant decrease in highly suitable area by 19% under SSP 5-8.5. This reduction in area will have an impact on the productivity of the crop as a result of changes in temperature and rainfall patterns. The outcome of the present research suggests that the state of Kerala needs to implement suitable climate change adaptation and management strategies for sustaining the turmeric cultivation. Additionally, the present study includes a discussion on potential management strategies to address the challenges posed by changing climatic conditions for optimizing turmeric production in the region. © 2024 Society of Chemical Industry.

Regional climate change adaptation planning: a case study on single-story wooden-frame residential buildings vulnerable to hurricane winds in selected US coastal locations

The projected increase in sea surface temperature due to climate change is expected to substantially intensify future hurricanes. Wooden light-frame residential buildings are particularly vulnerable to hurricane damage, and their risk is expected to increase due to heightened exposure and intensifying hurricanes. Therefore, adaptation strategies need to be planned to reduce damage to such buildings while considering the impact of climate change on hurricanes. This study investigates the effectiveness of various climate change adaptation strategies for coastal wood-frame single-story residential buildings and demonstrates how these strategies can be planned. The study considers the four Representative Concentration Pathways (RCPs) proposed by the IPCC to investigate the impact of climate change on wind hazard and losses. Additionally, three locations in the coastal United States of varying sizes, exposure, and hurricane hazard levels are considered: Harris County, Texas; Mobile County, Alabama; and Miami-Dade County, Florida. The results show that the increase in wind speeds and losses will be non-linear with time. All considered adaptation strategies decreased losses, with some able to completely counter the increasing losses even under high emission scenarios. Investigating the effectiveness of adaptive measures can guide stakeholders in allocating funds and efforts for hurricane risk management and enhancing community resilience.

Ethnoecology and Climate Change Adaptation in Agriculture

Ethnoecology, the study of how different cultures perceive and interact with their environments, plays a critical role in understanding climate change adaptation in agriculture. This article explores the relationship between ethnoecology and climate change adaptation strategies employed in agricultural practices. Utilizing a qualitative approach, this study conducts an extensive review of literature and library research to examine the intersection of ethnoecology and climate change adaptation in agricultural contexts. Through the synthesis of existing literature, the article identifies various indigenous knowledge systems, traditional agricultural practices, and local adaptations that communities have developed over generations to cope with changing climatic conditions. Additionally, the study analyzes the effectiveness and limitations of ethnoecological approaches in enhancing agricultural resilience to climate change impacts. Furthermore, the article discusses the importance of integrating indigenous knowledge with scientific research and modern technologies to develop holistic and context-specific adaptation strategies. The findings underscore the significance of ethnoecology as a valuable source of knowledge for informing climate change adaptation policies and practices in agriculture. By recognizing and incorporating traditional ecological knowledge into adaptation initiatives, stakeholders can enhance the resilience of agricultural systems and promote sustainable livelihoods for communities vulnerable to climate change. This study contributes to advancing understanding of the role of ethnoecology in climate change adaptation and underscores the importance of interdisciplinary approaches in addressing complex environmental challenges.

Augmented human thermal discomfort in urban centers of the Arabian Peninsula

Anthropogenic climate change has amplified human thermal discomfort in urban environments. Despite the considerable risks posed to public health, there is a lack of comprehensive research, evaluating the spatiotemporal changes in human thermal discomfort and its characteristics in hot-hyper arid regions, such as the Arabian Peninsula (AP). The current study analyzes spatiotemporal changes in human thermal discomfort categories and their characteristics in AP, using the newly developed high-resolution gridded ERA5-HEAT (Human thErmAl comforT) dataset for the period 1979–2022. In addition, the study assesses the interplay between the Universal Thermal Climate Index (UTCI) and El Niño-Southern Oscillation (ENSO) indices for the study period. The results reveal a significant increase in human thermal discomfort and its characteristics, with higher spatial variability in the AP region. The major urban centers in the southwestern, central, and southeastern parts of AP have experienced significant increases in human thermal discomfort (0.4–0.8 °C), with higher frequency and intensity of thermal stress during the study period. The temporal distribution demonstrates a linear increase in UTCI indices and their frequencies and intensities, particularly from 1998 onward, signifying a transition towards a hotter climate characterized by frequent, intense, and prolonged heat stress conditions. Moreover, the UTCI and ENSO indices exhibit a dipole pattern of correlation with a positive (negative) pattern in the southwestern (eastern parts) of AP. The study’s findings suggest that policymakers and urban planners need to prioritize public health and well-being in AP’s urban areas, especially for vulnerable groups, by implementing climate change adaptation and mitigation strategies, and carefully designing future cities to mitigate the effects of heat stress.

Large-scale environmental signals in seagrass blue carbon stocks are hidden by high variability at local scales

Increasing focus on nature-based climate change mitigation and adaptation strategies has led to the recognition of seagrasses as globally significant organic carbon (Corg) stocks. However, estimates of carbon stocks have been generally confined to a few regions, with few African studies represented in global datasets. In addition, the extent to which biogeographical and environmental variation shape carbon stocks in marine vegetated environments remains uncertain. For South Africa, Zostera capensis is the dominant seagrass species with limited mapping and quantification of its Corg stocks. Here, we measured Z. capensis Corg stocks at six South African estuaries spanning ∼1800 km of the cool-temperate to subtropical marine environmental gradient. Targeting the intertidal zone of the upper and lower estuary reaches, we collected Z. capensis sediments to a depth of 50 cm and measured the Corg, with the median Corg stock estimated at 24.11 Mg C ha−1 (40.4 ± 53.02; mean ± SD). While this is lower than the global average, these data demonstrate that Z. capensis ecosystems are important contributors to blue carbon stocks in the region. Measured Corg stocks showed significant differences between sampling sites for estuaries; however, we did not detect significant differences between estuaries due to high intra-estuarine Corg variability. Examination of biogeographical regions, terrestrial and marine environmental variables as drivers of Corg variability revealed that annual mean sea surface temperature may explain variation in Corg stocks. Furthermore, we found evidence of signals of biogeographical regions and precipitation driving some of the variability in Corg stocks; however, this requires further investigation. Overall, our estimates for Z. capensis add to ongoing national and global efforts to quantify seagrass Corg stocks across environmental and biogeographic gradients to better determine their contributions as nature-based solutions to climate change.

LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon

This study investigates microclimate changes induced by urbanization, with a focus on the Urban Heat Island (UHI) phenomenon and the crucial role of Land Surface Temperature (LST). Using the Landsat 8 Land Surface Temperature and Reflectance dataset obtained from the USGS Earth Explorer platform, the research evaluates LST and exoatmospheric albedo characteristics within Lisbon's Metropolitan Area across a defined set of thermal periods from 2015 to 2020. Among the findings, the Bare Soil or Sand LCZ consistently exhibits heightened LST values, while the Large Low Rise urban LCZ consistently records the highest temperatures, exceeding 54 °C and 55 °C in spring and summer and 43.8 °C and 37.8 °C in autumn and winter, respectively. These insights, derived from a meticulous examination of the Landsat 8 dataset and advanced processing methods, bear critical implications for climate change adaptation strategies, providing valuable insights to mitigate the adverse effects of the Urban Heat Island and foster sustainable urban development practices.

Building climate resilience: awareness of climate change adaptation in German outpatient medical practices

BackgroundClimate change is seen as the biggest health threat of the twenty-first century. Making outpatient medical practices resilient is therefore crucial to protect vulnerable groups and maintain quality of care. Awareness is a precondition for action. This study aims to explore awareness (knowledge, experience and attention) of climate change adaptation among stakeholders of outpatient medical practices.MethodsSemi-structured interviews and focus groups with stakeholders of outpatient medical practices were conducted. The qualitative data were analysed in a two-step Thematic Analysis process.ResultsIn total, n = 40 stakeholders participated in two focus groups and 26 interviews. The findings show a mixed degree of awareness in outpatient medical practices. The spectrum ranged from a passive role with curative acting only, handing over responsibility to others and a low perceived self-efficacy to a proactive and responsible implementation of adaptation strategies. Participants who saw the need and responsibility of climate change adaptation in medical practices perceived low additional workload. In general, implementation of climate change adaptation measures and general awareness of climate change adaptation appeared to be depending on a certain tension for change and a higher self-efficacy.ConclusionMedical practices, and specifically primary care, plays a crucial role in climate change adaptation, and awareness needs to be increased further in order to cope with consequences of climate change. To facilitate this, there should be a strong emphasis on climate change adaptation strategies being part of outpatient care provider roles rather than being perceived as an “add-on” to already high workloads.

Coupled Impacts of Soil Acidification and Climate Change on Future Crop Suitability in Ethiopia

Agricultural sustainability faces challenges in the changing climate, particularly for rain-fed systems like those in Ethiopia. This study examines the combined impacts of climate change and soil acidity on future crop potential, focusing on Ethiopia as a case study. The EcoCrop crop suitability model was parameterized and run for four key food crops in Ethiopia (teff, maize, barley and common wheat), under current and mid-century climate conditions. To assess the impacts of soil acidification on crop suitability, a simulation study was conducted by lowering the soil pH values by 0.5, 1.0 and 1.5 and re-running the suitability model, comparing the changes in the area suitable for each crop. Our evaluation of the model, by comparing the modeled suitable areas with reference data, indicated that there was a good fit for all the four crops. Using default soil pH values, we project that there will be no significant changes in the suitability of maize, barley and wheat and an increase in the suitability of teff by the mid-century, as influenced by projected increases in rainfall in the country. Our results demonstrate a direct relationship between the lowering of soil pH and increasing losses in the area suitable for all crops, but especially for teff, barley and wheat. We conclude that soil acidification can have a strong impact on crop suitability in Ethiopia under climate change, and precautionary measures to avoid soil acidification should be a key element in the design of climate change adaptation strategies.

Co-learning partnerships and carbon management in Denmark and Canada

PurposeClimate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.Design/methodology/approachThis paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.FindingsResults show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.Originality/valueThe research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.