Investigating the effects of the increased global warming through the lens of the Paris agreements would be of particular importance for Central African countries, which are already experiencing multiple socio-political and socio-economic constraints, but are also subject to severe natural hazards that interact to limit their adaptive capacity and thus increase their vulnerability to the adverse effects of climate change. This study explores changes in heat stress and the proportion of population at risk of discomfort over Central Africa, based on an ensemble-mean of high-resolution regional climate model simulations that cover a 30-year period, under 1.5, 2 and 3 °C Global Warming Levels (GWLs). The heat index was computed according to Rothfusz's equation, while the discomfort index was obtained from Thom's formula. The results show that throughout the year but with a predominance from March to August, the spatial extent of both heat and discomfort categories is projected to gradually increase according to the considered GWLs (nearly threefold for an increasing warming thresholds from 1.5 to 3 °C). As these heat conditions become more frequent, they lead to the emergence of days with potentially dangerous heat-related risks, where almost everyone feels discomfort due to heat stress. It thus appears that the majority of populations living in countries located along the Atlantic coast and in the northern and central part of the study area are likely to be more vulnerable to certain health problems, which could have repercussions on the socio-economic development of the sub-region through decreased workers' productivity and increased cooling degree days. Overall, these heat-related risks are more extended and more frequent when the GWL reaches 2 °C and above.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.scitotenv.2021.150099 | DOI Listing |
PLoS One
January 2025
Department of Economics, University Carlos III, Getafe, Spain.
Climate change is a spatial and temporarily non-uniform phenomenon that requires understanding its evolution to better evaluate its potential societal and economic impact. The value added of this paper lies in introducing a quantitative methodology grounded in the trend analysis of temperature distribution quantiles to analyze climate change heterogeneity (CCH). By converting these quantiles into time series objects, the methodology empowers the definition and measurement of various relevant concepts in climate change analysis (warming, warming typology, warming amplification and warming acceleration) in a straightforward and robust testable linear regression format.
View Article and Find Full Text PDFEnviron Technol
February 2025
Technology Institute, University of Passo Fundo, Passo Fundo, RS, Brazil.
Food waste offers a potential source for bioethanol production, but productivity depends on the chemical composition of the raw materials and the processes involved. However, assessment of the environmental sustainability of these processes is often absent and can be carried out using the Life Cycle Assessment (LCA) methodology. This study aimed to perform an LCA on bioethanol production from mixtures of different wastes, including tubers, fruits, and processed foods, focusing on the gate-to-gate phase.
View Article and Find Full Text PDFmSystems
January 2025
Department of Ecology, Behavior and Evolution, University of California San Diego School of Biological Sciences, La Jolla, California, USA.
Unlabelled: Biological diversity is declining across the tree of life, including among prokaryotes. With the increasing awareness of host-associated microbes as potential regulators of eukaryotic host physiology, behavior, and ecology, it is important to understand the implications of declining diversity within host microbiomes on host fitness, ecology, and ecosystem function. We used phytoplankton and their associated environmental microbiomes as model systems to test the independent and interactive effects of declining microbiome diversity with and without other stressors often caused by human activity-elevated temperature and altered nutrient availability.
View Article and Find Full Text PDFInnovation (Camb)
January 2025
Institute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Ecosystem changes can simultaneously generate various climate-related effects, such as evapotranspiration (vapor flux) effects, carbon-cycle effects, and surface temperature effects. These effects are coupled with one another because they are generated through the same biophysical and biogeochemical processes. Consequently, given an easily measurable effect, other effects can be predicted from the measured effect.
View Article and Find Full Text PDFNatl Sci Rev
February 2025
Scripps Institution of Oceanography, La Jolla, CA, USA.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!