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Schistosomiasis is a neglected tropical disease caused by Schistosoma parasites. Schistosoma are obligate parasites of freshwater Biomphalaria and Bulinus snails, thus controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change. Here, we used machine learning, remote sensing, and 30 years of snail occurrence records to map the historical and current distribution of forward-transmitting Biomphalaria hosts throughout Brazil. We identified key features influencing the distribution of suitable habitat and determined how Biomphalaria habitat has changed with climate and urbanization over the last three decades. Our models show that climate change has driven broad shifts in snail host range, whereas expansion of urban and peri-urban areas has driven localized increases in habitat suitability. Elucidating change in Biomphalaria distribution-while accounting for non-linearities that are difficult to detect from local case studies-can help inform schistosomiasis control strategies.
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http://dx.doi.org/10.1038/s41467-024-48335-9 | DOI Listing |
Sci Total Environ
September 2025
Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium.
Wetlands play a crucial role in global greenhouse gas (GHG) dynamics, yet their response to climate change is not yet fully understood. Here, we investigate how increasing temperature and oxygen availability interact to regulate wetland GHG emissions through combined analysis of biogeochemical and functional gene measurements. We found distinct temperature-dependent shifts in carbon emission pathways, with CO emissions unexpectedly declining as temperature rose from 15 to 25 °C, while increasing consistently at higher temperatures (25-35 °C), reflecting a transition to more thermally-driven processes.
View Article and Find Full Text PDFJ Hazard Mater
August 2025
RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic. Electronic address:
Water contamination by micropollutants is a global issue, yet there is limited information from low-income regions. To address this, we evaluated surface water quality in rapidly growing Sub-Saharan area of Malawi lacking wastewater treatment. Integrated assessment of passive sample extracts representing wet and dry seasons combined effect-based approach with in vitro bioassays, target and non-target chemical analyses (NTS).
View Article and Find Full Text PDFJ Environ Manage
September 2025
Hubei Key Laboratory of Regional Development and Environmental Response, Faculty of Resources and Environmental Science, Hubei University, No. 368 Youyi Avenue, Wuchang District, Wuhan, 430062, China. Electronic address:
Inland water ecosystems play key roles in the production, transportation, transformation, storage, and consumption of global greenhouse gases (GHG). Different water body types exhibit spatial and temporal differences after considering factors such as season and aquatic plant life forms. The results revealed that the annual global warming potential (GWP) (Tg CO-eq yr) from swamps, rivers, lakes, and reservoirs in China were 1382.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Ecological Modelling Laboratory, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, M1C 1A4, Canada. Electronic address:
Agriculture intensification represents an essential strategy to ensure food security for the growing human population, but it also poses considerable environmental concerns. Climate change and associated projections of an increased frequency of extreme precipitation and runoff events may amplify nutrient dynamics along the watershed-lake continuum, and could further exacerbate the poor water quality conditions downstream. Identifying hotspot locations with higher propensity for sediment and nutrient export and designing effective mitigation measures at the source is more critical than ever.
View Article and Find Full Text PDFJ Emerg Manag
September 2025
Institute for Coastal Adaptation and Resilience, Old Dominion University, Norfolk, Virginia. ORCID: https://orcid.org/0000-0002-6888-5314.
The growing impact of climate change has highlighted the importance of effective disaster housing recovery (DHR) measures, particularly in resource-constrained places prone to flooding. As these communities confront displacement and financial instability, allocating resources for post-DHR is crucial. This study presents an innovative strategy for improving DHR planning and execution that uses genetic algorithms (GAs), with a focus on Long-Term Recovery Groups (LTRGs) and community engagement for long-term results.
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