Impact Of Climate Change Research Articles

Climate change impact on groundwater resources in sandbar aquifers in southern Baltic coast

Shallow coastal aquifers are vulnerable hydrosystems controlled by many factors, related to climate, seawater-freshwater interactions and human activity. Given on-going climate change, sea level rise and increasing human impact, it is especially true for groundwater resources situated in sandbars. We developed numerical models of unsaturated zone water flow for two sandbars in northern Poland: the Vistula Spit and the Hel Spit using HYDRUS-1D. The simulations were performed for three types of land use: pine forest, grass cover and bare soil, for 2024–2100 based on weather data and sea level rise forecasts for two emissions scenarios (RCP 4.5 and RCP 8.5). The results present prognosis of groundwater recharge, water table level and water content changeability in near-term (2023–2040), mid-term (2041–2060), and long-term period (2081–2100). Expected sea level rise and decreasing hydraulic gradient of the sandbar aquifers will probably cause in-land movement of the freshwater–saltwater interface, leading to significant decrease or complete salinization of groundwater resources. The study shows that holistic monitoring including groundwater level and salinization, sea level rise, and metheorological data (precipitation amount and variability, temperature) is crucial for sustainable management of vulnerable aquifers located in sandbars.

Response of Species to the Impact of Climate Change in the Gum Arabic Belt, Sudan: A Case Study in Acacia senegal

Sustainable management strategies of trees are important for indigenous agroforestry plant species, such as Acacia. Senegal (A. Senegal), due to the impacts of rapid population growth, land use and climate change. The objective of this investigation was to predict the spatio-temporal distribution of A.senegal in the Gum Arabic belt in Sudan in current (1985–2000) and future climate scenarios (2021–2100). Bioclimatic data was used for modeling purposes utilizing Maxent, with the assessment of model precision conducted through the utilization of the Area Under the Curve (AUC) and shown a high goodness-of-it (AUC=0.905±0.003 ). Significant differences were shown in species distribution between current and future periods under selected Shared Socioeconomic Pathways (SSPs) of SSP2-4.5 and SSP5-8.5, climate scenario. Our findings indicated that the main predictors influence the distribution of the species were precipitation of wettest quarter and maximum temperature of warmest month. Under the current potential distribution (25.4%), it is projected that Acacia Senegal would expand 36.2%-87.7% (SSP2-4.5) and 38.9-42.5% (SSP5-8.5). It is expected that A.cacia Senegal will create new environments suitable for it due to expected climate changes. Hence, the research necessitates the formulation of a strategic plan aimed to rehabilitation plantations of Acacia senegal and cultivation these species within existing and prospective habitats conducive to their existence.

Climate change challenges: Case of the Thai agriculture business sector

Climate change and its effects are accelerating, with climate-related disasters piling up season after season. This study explores the impact of climate change on Thailand’s agricultural business by examining the views and experiences of stakeholders in the sector. Through in-depth interviews and thematic analysis, the study reveals the multifaceted challenges faced by the agricultural community. Participants highlight the disruptive effects of irregular rainfall patterns and rising temperatures on crop productivity and economic stability, exacerbating food shortages and livelihood insecurity. Additionally, the study underscores the critical issue of food security and the need for resilient agricultural practices. Furthermore, the inadequate integration of climate change education in the Thai education system and its implications for farmer adaptation are discussed. The study emphasizes the urgent need for comprehensive support measures and a holistic approach to address climate change impacts on Thailand’s agricultural sector, ensuring its sustainability and the well-being of farmers.

Impact of Land Use and Climate Change on Streamflow: An Assessment Using a Semi-Empirical Model in the Guishui Watershed of North China

Land-use change may significantly influence streamflow. The semi-empirical model PhosFate was used to analyze the impact of land use and climate change on streamflow by choosing the Guishui watershed as a pilot site and then expanding, applying it to all of North China. The Guishui watershed (North Beijing, China) has experienced a dramatic decline in its streamflow in recent decades. Parallel to this, significant land-use change has happened in this area; afforestation programs have increased forest cover from 41% (1980) to 59% (2013) and a similar increase in forest cover can also be observed in North China. Managing flow decline requires separating climatic and direct human-influenced effects. The results showed the following: (1) Afforestation is a major factor that decreased total flow in the Guishui watershed from 1996 to 2014; total flow increased by around 24% more than the actual dataset in the constant scenario (no afforestation) and decreased by 5% more than the actual dataset in the forest scenario (all agriculture land use transferred to forests). (2) When forest coverage increases, the Qinghai–Tibet Plateau and the Loess Plateau are the most sensitive areas regarding total flow in North China; the total flow change rate increased by up to 25% in these two areas when land use shifted from sparse vegetation to mixed forests. After analyzing the contributions of these two factors, we formulated recommendations on future afforestation practices for North China. In the central–north and northwest districts, the annual precipitation is under 520 mm and 790 mm, respectively, and the practice of afforestation should be more carefully planned to prevent severe damage to streams. This research also proved that the PhosFate model can be used in North China, which would be a practical tool for watershed management.

Corporate accountability for climate change and natural environment in Nigeria: Trends, limitations and future directions

One of the contemporary problems in the business and human rights debate is the obligations of business enterprises to reduce and redress the adverse effects of their operations on the environment. In Nigeria, despite the existence of various regulations and monitoring institutions, environmental pollution caused by the activities of business enterprises persists. The impact of climate change and environmental damage on sustainable development in Nigeria can no longer be ignored as our common future is becoming critically dependent on making the condition of the environment and human lives our top priorities. There is need for a stringent legal framework on business and human rights in Nigeria, accelerated implementation of the National Action plan on business and human right, a committed implementation of existing regulations on environmental protection, strict enforcement of laws and proper awareness that will ensure responsible business practices by business enterprises in all key sectors in Nigeria. This study examines the concept of corporate accountability in Nigeria. It identifies the inadequacies of existing national laws on corporate accountability for environmental protection, and proffer solutions to these gaps.

The Impact of Climate Change and Human Activities on the Spatial and Temporal Variations of Vegetation NPP in the Hilly-Plain Region of Shandong Province, China

Studying the spatio-temporal changes and driving mechanisms of vegetation’s net primary productivity (NPP) is critical for achieving green and low-carbon development, as well as the carbon peaking and carbon neutrality goals. This article employs various analytical approaches, including the Carnegie–Ames–Stanford approach (CASA) model, Theil–Sen median estimator, coefficient of variation, Hurst index, and land-use and land-cover change (LUCC) transition matrix, to conduct a thorough study of NPP variations in the Shandong Hilly Plain (SDHP) region. Furthermore, the geographic detector method was used to investigate the synergistic effects of meteorological changes and human activities on NPP in this region. Between 2000 and 2020, the vegetation NPP in the SDHP exhibited an average increase rate of 0.537 g C·m−2·a−1. However, the fluctuation in mean annual NPP, ranging from 203 to 230 g C·m−2·a−1, underscores an uneven growth pattern. Significant regional disparities are evident in vegetation NPP, gradually ascending from the southeast to the northwest and from the coastal areas to inland regions. The average Hurst index for the entire study area stands at 0.556, indicating an overall sustained growth trend in the time series of SDHP vegetation NPP. The vegetation NPP changes in SDHP can be well explained by climate variables (mean annual temperature, mean annual precipitation) and human activities (LUCC, night light index); of these, LUCC (q = 0.684) has the highest explanatory power on the impact of NPP and is a major influencing factor. This study deepens the understanding of the driving factors and patterns of vegetation’s dynamic response to climate change and human activities in the SDHP region. At the same time, it provides valuable scientific insights for improving ecosystem quality and promoting the carbon peaking and carbon neutrality goals.

Integration of resilient cooling technologies in building stock: Impact on thermal comfort, final energy consumption, and GHG emissions

Buildings in the EU contribute significantly to energy consumption and greenhouse gas emissions, with HVAC systems being major contributors. This paper assesses the impact of the resilience of various cooling strategies on thermal comfort, energy consumption, and GHG emissions in the residential building stock in Belgium. This study uses an innovative approach for sizing and designing cooling systems, considering the impact of climate change on future weather conditions and extreme heatwaves. The findings reveal alarming temperature increases, with potential rises of up to 4.1 °C from the 2010s to the 2090s, particularly in the high-emission SSP5-8.5 scenario. The study investigates three cooling strategies: scenario 1 (mechanical ventilation), scenario 2 (mechanical ventilation and natural ventilation), and scenario 3 (mechanical ventilation, natural ventilation, and split system). In scenario 1, there is a notable increase in Indoor Overheating Degree (IOhD), reaching up to 586% in the 2090s for semi-detached buildings, while scenario 2 consistently reduces IOhD, reaching only 0.2 °C by the 2090s. Scenario 3 achieves near-zero IOhD by the 2050s and 2090s. Notably, the “Heatwave [2081–2100]" exhibits unprecedented daytime temperatures, peaking at 46.0 °C. During the 2054 heatwave, insulated buildings maintained the Indoor Operative Temperature (IOpT) below 40 °C, whereas non-insulated buildings reached 44.3 °C, indicating challenges in meeting thermal comfort standards. Furthermore, cooling energy consumption increased by 106%–141% in the 2050s and surge by 174%–280% in the 2090s compared to the 2010s, along with significant GHG emissions growth in the future scenarios, particularly in SSP5-8.5.

Assessing the impact of unsustainable exploitation and climate change on soil properties alterations in the mountainous regions, Vietnam

This study aims to assess the impacts of land use change (LUC) on soil properties and soil organic carbon content (SOCC) in the mountainous regions of Nghe An province, Vietnam. Soil samples were surveyed from forest plant area (FPA), annual plant area (APA), crop plant area (CPA), and bare hill area (BHA) at depths ranging from 0-50 cm during the period 2021-2023. The findings indicated that the conversion from FPA to BHA resulted in a significant decline in SOCC. In comparison to the topsoil layer, reductions of approximately 18.6-22.1% for FPA, 26.5-36.0% for CPA and APA, and up to 37.5% for BHA were observed in the soil profiles. These results underscore the sensitivity of SOCC to LUC across the study area. Moreover, the study contributes to our understanding of the implications of LUC on soil health and offers valuable insights for effective land management and conservation strategies. The conversion of FPA into various types of land use (TLU) has a detrimental impact on soil properties, highlighting the urgent necessity for sustainable land use practices.

Eco-anxiety among regional Australian youth with mental health problems: A qualitative study.

In Australia, climate-related disasters disproportionately affect rural, regional and remote young people with effects ranging from severe flooding and catastrophic fires to unbearable heat and yet most studies on eco-anxiety are based on reports by urban youth who do not have direct experiences of such impacts. Furthermore, there is a dearth of research on how eco-anxiety impacts those who already experience mental health problems. The present study aims to address this gap by focussing on the lived experiences of regional Australian youth with recent experience of climate-related disasters alongside clinical insights from those involved in their care. Two groups, a clinician and client group, were recruited through headspace Port Macquarie-a primary youth mental health service in a regional city of New South Wales, Australia. In all, 25 participants took part in focus group discussions, including 13 clinicians and 12 clients of the service. Clients and clinicians responded to a version of the same questions: (1) whether the effects of climate change impact on regional youth with mental health problems, (2) how young people cope with eco-anxiety and (3) how regional communities can help young people cope with eco-anxiety better. Group discussions were audio-recorded and transcribed. Transcripts were analysed according to the principles of Interpretative Phenomenological Analysis using a team approach. Three dimensions of eco-anxiety were identified by clinicians and clients-helplessness in the present, hopelessness about the future and acute stress and anxiety related to experiences of severe flooding and fires. Clinicians and clients also thought that a misalignment between young people and older generations, including government, was a source of eco-anxiety and having a collective voice was seen as important for regional youth as was community support through social media sites. Clinicians thought that eco-anxiety was 'in the background' for their clients, whereas the clients who participated were clearly experiencing eco-anxiety. Whereas clinicians could identify potential coping strategies, clients could not. Eco-anxiety can be experienced by regional youth with mental health problems as both an acute response to natural hazards and a more sustained sense of hopelessness about the future. Impacts of acute anxiety and chronic hopelessness, with its associated depression risk, among young people with pre-existing mental health problems warrants further investigation as this study suggests that it may exacerbate their existing conditions. Clinicians and clients in this region would benefit from specific training and resources related to the identification and treatment of eco-anxiety. Future research on climate-related mental health should be inclusive of the perspectives of those who have direct experience of climate-related adverse events.

Impacts of Climate Change on the Habitat Suitability and Natural Product Accumulation of the Medicinal Plant Sophora alopecuroides L. Based on the MaxEnt Model.

Sophora alopecuroides L., a perennial herb in the arid and semi-arid regions of northwest China, has the ecological functions of windbreaking and sand fixation and high medicinal value. In recent years, global warming and human activities have led to changes in suitable habitats for S. alopecuroides, which may affect the accumulation of natural products. In this study, MaxEnt 3.4 and ArcGIS 10.4 software were used to predict the distribution of potentially suitable habitats for S. alopecuroides in China under climate change. Furthermore, the geographical distribution of S. alopecuroides as affected by human activities, the differences in the content of natural products of S. alopecuroides between different suitable habitats, and the correlation between natural products and environmental factors were analyzed. The results showed that suitable habitats for S. alopecuroides were projected to expand in the future, and the major environmental factors were temperature (Bio1), rainfall (Bio18), and soil pH (pH). When Bio1, Bio18, and pH were 8.4283 °C, 7.1968 mm, and 9.9331, respectively, the distribution probability (P) of S. alopecuroides was the highest. After adding a human activity factor, the accuracy of the model prediction results was improved, and the area of suitable habitats was greatly reduced, showing a fragmented pattern. Meanwhile, habitat suitability had a specific effect on the content of natural products in S. alopecuroides. Specifically, the content of natural products in S. alopecuroides in wild habitats was higher than that in artificial cultivation, and highly suitable habitats showed higher contents than those in non-highly suitable habitats. The contents of total alkaloids and total flavonoids were positively correlated with human activities and negatively correlated with land use types. Among them, total alkaloids were negatively correlated with aspect, and total flavonoids were positively correlated with aspect. In addition, it is suggested that Xinjiang should be the priority planting area for S. alopecuroides in China, and priority should be given to protection measures in the Alashan area. Overall, this study provides an important foundation for the determination of priority planting areas and resource protection for S. alopecuroides.

Re-assessing thermal response of schistosomiasis transmission risk: evidence for a higher thermal optimum than previously predicted.

The geographical range of schistosomiasis is affected by the ecology of schistosome parasites and their obligate host snails, including their response to temperature. Previous models predicted schistosomiasis' thermal optimum at 21.7 °C, which is not compatible with the temperature in sub-Saharan Africa (SSA) regions where schistosomiasis is hyperendemic. We performed an extensive literature search for empirical data on the effect of temperature on physiological and epidemiological parameters regulating the free-living stages of S. mansoni and S. haematobium and their obligate host snails, i.e., Biomphalaria spp. and Bulinus spp., respectively. We derived nonlinear thermal responses fitted on these data to parameterize a mechanistic, process-based model of schistosomiasis. We then re-cast the basic reproduction number and the prevalence of schistosome infection as functions of temperature. We found that the thermal optima for transmission of S. mansoni and S. haematobium range between 23.1-27.3 °C and 23.6-27.9 °C (95 % CI) respectively. We also found that the thermal optimum shifts toward higher temperatures as the human water contact rate increases with temperature. Our findings align with an extensive dataset of schistosomiasis prevalence in SSA. The refined nonlinear thermal-response model developed here suggests a more suitable current climate and a greater risk of increased transmission with future warming for more than half of the schistosomiasis suitable regions with mean annual temperature below the thermal optimum.

Attributing daily ocean temperatures to anthropogenic climate change

Ocean temperatures are rising and hit record levels around the world in 2023. While trends are clear and likely strongly connected to human-caused climate change, the oceans also exhibit variability on the daily level, leading to local extremes such as marine heatwaves. We present an operational system to estimate the impact of human-caused climate change on daily sea surface temperatures anywhere in the ocean. This system uses a multi-method approach combining observed trends and paired control/forced climate model runs from CMIP6. Our approach is novel in its flexibility and ease of application for global, daily use for any day since the beginning of the satellite era (1982–2023). The system allows for rapid evaluation for further study of attributable ocean temperatures and real-time communications of attributable ongoing events. We apply the system to well-documented heatwaves in the Tasman Sea, Gulf of Maine, and Mediterranean Sea over the past decade, as well as global conditions in July 2023, to confirm that the system produces estimates consistent with other attribution methods, and to simulate how our system handles interesting events as they are occurring. Each of these events strongly reflected impacts of climate change: their temperatures were consistently made at least four times as likely to occur in our human-influenced climate than in a world without climate change. Meanwhile, in July 2023, almost all ( >70 %) of the ocean’s temperatures were made at least twice as likely to occur on any given day. Rapid attribution of daily ocean temperatures provides a pathway for quantifying the influence of climate change on ecological impacts like coral bleaching and on ocean-generated/influenced storms like tropical cyclones.

Insights from modelling sixteen years of climatic and fumonisin patterns in maize in South Africa

Mycotoxin contamination of agricultural commodities is a global public health problem that has remained elusive to various mitigation approaches, particularly in developing countries. Climate change and its impact exacerbates South Africa’s vulnerability to mycotoxin contamination, and significantly threatens its’s food systems, public health, and agro-economic development. Herein we analyse sixteen years (2005/2006–2020/2021) of annual national meteorological data on South Africa which reveals both systematic and erratic variability in critical climatic factors known to influence mycotoxin contamination in crops. Within the same study period, data on fumonisin (FB) monitoring show clear climate-dependent trends. The strongest positive warming trend is observed between 2018/2019 and 2019/2020 (0.51 °C/year), and a strong positive correlation is likewise established between FB contamination and temperature (r ranging from 0.6 to 0.9). Four machine learning models, viz support vector machines, eXtreme gradient boosting, random forest, and orthogonal partial least squares, are generalized on the historical data with suitable performance (RMSE as low as 0.00). All the adopted models are able to predict future FB contamination patterns with reasonable precision (R2 ranging from 0.34 to 1.00). The most important model feature for predicting average FB contamination (YA) is the historical pattern of average FB contamination in maize within the region (ΣFBs_avg). The two most significant features in modelling maximum FB contamination (YM) are minimum temperature from the CMIP6 data (Pro_tempMIN) and observed precipitation from the CRU data (O_prep). Our study provides strong evidence of the impact of climate change on FB in South Africa and reiterates the significance of machine learning modelling in predicting mycotoxin contamination in light of changing climatic conditions, which could facilitate early warnings and the adoption of relevant mitigation measures that could help in mycotoxin risk management and control.

Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach.

Mycotoxin surveys play an essential role in our food safety system. The obtained occurrence data form the basis for the assessment of the exposure of humans and animals to these toxic fungal secondary metabolites. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has become the gold standard for mycotoxin determination because it enables selective and sensitive multi-toxin analysis. Simultaneous determination of several hundreds of secondary fungal metabolites is feasible using this technique. In this study, we combined a targeted dilute-and-shoot LC-MS/MS-based multi-analyte approach with multivariate statistics for the analysis of Austrian wheat from two different years and different geographical origins. We quantified 47 secondary fungal metabolites, including regulated emerging and masked mycotoxins. The resulting multi-mycotoxin occurrence data were further analyzed using both multivariate and univariate statistics. Principal component analysis (PCA) and analysis of variance (ANOVA) simultaneous component analysis (ASCA) were employed to identify regional and yearly trends within the dataset and to quantify the variance in metabolite occurrence attributed to the different effects. In addition, secondary fungal metabolites significantly impacted by these factors were selected via ANOVA. Of the 47 secondary metabolites identified, 39 were affected by the year, region or a combined effect. Moreover, our findings show that 43 of the secondary fungal metabolites were significantly influenced by the weather conditions. The results presented in this study underline the added value of combining targeted LC-MS/MS with multivariate statistics for monitoring a broad spectrum of secondary fungal metabolites in food crops. Through multivariate statistics, trends associated with the year or region can be readily studied. The approach presented could pave the way for a better understanding of the impact of climate change on plant pathogenic fungi and its implications for food safety. © 2024 The Author(s). Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Unstable State of Hydrologic Regime and Grain Yields in Northern Kazakhstan Estimated with Tree-Ring Proxies

Changes in the hydrologic regime impose great challenges for grain production. We investigated the impact of dry and wet extremes on the recent losses of crops in Severo-Kazakhstanskaya Oblast (SKO), where 25% of Kazakhstan’s wheat is produced. We reconstructed the Palmer Drought Severity Index (June–August PDSI) and average grain yields (with an explained variance of 48% and 44%, respectively) using five tree ring width chronologies. The extended history of the moisture variability and yields of spring wheat, oats, and barley shows the strong impact of hydrology, rather than the heat, on the grain production. We defined three distinctive hydrologic regimes in SKO: (1) 1886–1942, (2) 1943–1977, (3) 1978–2023. The early regime had fewer drought events, including some that covered a single year. Their duration increased up to 3 years in the second period. The latest regime is an extreme mode of hydrologic variability with events abruptly switching from extremely dry to extremely wet conditions (called “whiplash”). The 21st century regime signifies that the intensified and prolonged decade-long drought transitioned into pluvial condition. The new regime created sizable instability for grain producers. This crop yield reconstruction denotes the potential of the tree-ring proxy for understanding the impact of climate change on the agriculture and food security of Central Asia.

The impact of climate change on vehicle engineering and countermeasures

With the increasingly severe climate change, the field of vehicle engineering is facing numerous challenges and opportunities. This article aims to analyze the impact of climate change on vehicle engineering and propose corresponding strategies. Firstly, the research background and significance are introduced, and the current research status both domestically and internationally is analyzed. Following that, a comprehensive analysis is conducted on the impact of climate change on vehicle engineering, including the influence of current climate change on the development of vehicle engineering, the impact of low-carbon transportation on the development of vehicle engineering, and the influence of climate change on vehicle safety. Then, the role of vehicle engineering in responding to climate change is discussed in detail. Finally, development strategies for vehicle engineering are proposed, including the development of new energy vehicles, improvement of autonomous driving technology, and optimization of transportation policies. This study explains the impact of climate change on vehicle engineering and proposes strategies for long-term development.

The impact of future UK offshore wind farm distribution and climate change on generation performance and variability

The UK plans to significantly increase offshore wind generation capacity as part of the effort to achieve net zero targets. Current installation is densely located in a few areas, particularly off the east coast of England, and although current siting proposals include new offshore regions, significant volumes of wind generation capacity are yet to be located to meet 2050 installation targets. This paper uses a recent dataset of multi-decadal offshore wind power capacity factor timeseries to assess how UK offshore wind generation is likely to be affected by both the spatial distribution of future wind farms, and by the impacts of near-future (2020–2050) climate change. We determine that a wider geographic spread of offshore capacity results in a much-improved and less-variable UK-aggregated power generation profile, with substantial reductions in periods of low generation and extreme wind power ramping events, without negatively impacting mean or peak generation outputs. The impact of near-term climate change appears to be minor, slightly reducing overall generation and possibly resulting in an underestimation of future installation requirements, but this climate signal is outweighed by the effects of spatial distribution, and even more so by inherent hourly to inter-annual wind speed variability. This study implies that the intermittency of wind generation can be partly mitigated through increasing the spatial diversity of the existing wind farm distribution. Alongside a more in depth investigation of future climate change, and a holistic assessment of relevant geospatial factors such as Levelised Cost of Energy, infrastructure, and environmental constraints, this study could be used for optimisation of future offshore wind siting.

Climate Change, Kidney Health, and Environmentally Sustainable Kidney Care.

Given the threat of climate change to kidney health and the significant environmental impact of kidney care, calls are increasing for healthcare professionals and organizations to champion climate advocacy and environmentally sustainable kidney care. Yet, little is known about their engagement and existing literature is primarily emerging from high-income countries. We conducted a cross-sectional survey to understand the knowledge, attitude, and practice of healthcare professionals on the interconnectedness of climate change and kidney health; to identify personal and organizational initiatives in sustainable kidney care and strategies to increase their engagement; and to compare responses by their country's income level as classified by the World Bank. Participants (n=972) represented 108 countries with 64% from lower- or middle-income countries. Ninety-eight percent believed that climate change is happening, yet <50% possessed knowledge about the impact of climate change on kidney health or the environmental impact of kidney care. Only 14% were involved in climate change and kidney health initiatives (membership, knowledge/awareness, research, advocacy); 22% in sustainable kidney care initiatives (education/advocacy, preventative nephrology, sustainable dialysis, promoting transplant/home therapies, research); and 26% reported organizational initiatives in sustainable kidney care (sustainable general or dialysis practices, preventative/lean nephrology, focused committees). Participants from lower-income countries generally reported higher knowledge and variable level of concern. Engagement in sustainable kidney care did not vary by income level. Guidance/toolkit (79%), continuing education (75%) and opportunities (74%) were the top choices to increase engagement. National initiatives (47%), preventative measures (35%) and research endeavors (31%) were the top avenues for organizational engagement. These varied by income level suggesting that the vision and priorities vary by baseline resource setting. We have identified knowledge and practice gaps among healthcare professionals on the bidirectional relationship between kidney disease and climate change in a multinational context and several avenues to increase their engagement.

Temperature-driven dynamics: unraveling the impact of climate change on cryptic species interactions within the Litoditis marina complex.

Anthropogenic climate change and the associated increase in sea temperatures are projected to greatly impact marine ecosystems. Temperature variation can influence the interactions between species, leading to cascading effects on the abundance, diversity and composition of communities. Such changes in community structure can have consequences on ecosystem stability, processes and the services it provides. Therefore, it is important to better understand the role of species interactions in the development of communities and how they are influenced by environmental factors like temperature. The coexistence of closely related cryptic species, with significant biological and ecological differences, makes this even more complex. This study investigated the effect of temperature on species growth and both intra- and interspecific interactions of three species within the free-living nematode Litoditis marina complex. To achieve this, closed microcosm experiments were conducted on the L. marina species Pm I, Pm III and Pm IV in monoculture and combined cultures at two temperature treatments of 15 °C and 20 °C. A population model was constructed to elucidate and quantify the effects of intra- and interspecific interactions on nematode populations. The relative competitive abilities of the investigated species were quantified using the Modern Coexistence Theory (MCT) framework. Temperature had strong and disparate effects on the population growth of the distinct L. marina species. This indicates temperature could play an important role in the distribution of these cryptic species. Both competitive and facilitative interactions were observed in the experiments. Temperature affected both the type and the strength of the species interactions, suggesting a change in temperature could impact the coexistence of these closely related species, alter community dynamics and consequently affect ecosystem processes and services.

Comparison of bias correction methods to regional climate model simulations for climate change projection in Muger Subbasin, Upper Blue Nile Basin, Ethiopia

ABSTRACT The objective of this study was to evaluate the best performed bias correction methods to simulate the regional climate models for future climate change projections in Muger Subbasin. Delta change methods perform very well with a coefficient of correlation of 0.99 and a percent of bias –3. When we compare its corrected simulation result with observed data, the delta change method seems to have with no biases for maximum temperature, but increases by 1.67 °C from the mean for minimum temperature of 0.39 and 38.41 mm for monthly and annual precipitation, respectively. Delta change methods underestimate the model result for both temperature and precipitation. Linear scaling and variance scaling methods overestimate the maximum temperature of the simulation by 0.002 and 0.004 °C from the mean of the observed data, but it underestimates 1.59 and 1.56 °C the minimum temperature, respectively. The long-term temperature projection values (2060–2090) are higher than the near-term projections (2030–2060) for both RCP2.6 and RCP8.5 scenarios. Similarly, the change in annual precipitation for the long-term is higher than the near-term projections. As a conclusion, the results draw attention to the fact that bias-adjusted regional climate models data are crucial for the provision of local climate change impact studies in the Muger Subbasin.