Climate warming and extreme hydrological events are threatening the sustainability of wetlands across the globe. However, whether climate warming will amplify or diminish the impact of extreme flooding on wetland ecosystems is unknown. Here, we show that climate warming significantly reduced wetland resistance and resilience to a severe flooding event via a 6-year warming experiment. We first found that warming rapidly altered plant community structure by increasing the dominance of low-canopy species. Then, we showed that warming reduced the resistance and resilience of vegetation productivity to a 72-cm flooding event. Last, we detected slower postflooding carbon processes, such as gross ecosystem productivity, soil respiration, and soil methane emission, under the warming treatment. Our results demonstrate how severe flooding can destabilize wetland vegetation structure and ecosystem function under climate warming. These findings indicate an enhanced footprint of extreme hydrological events in wetland ecosystems in a warmer climate.
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http://dx.doi.org/10.1126/sciadv.abl9526 | DOI Listing |
Environ Res
January 2025
Key laboratory of Exploration and Utilization of Aquatic Genetic Resources of the Ministry of Education, Engineering Research Center of Environmental DNA and Ecological Water Health Assessment, Shanghai Ocean University, Shanghai 201306, China. Electronic address:
Global change stressors, including climate warming, eutrophication, and small-sized omnivorous fish, may exert interactive effects on the food webs and functioning of shallow lakes. Periphyton plays a central role in the primary production and nutrient cycling of shallow lakes but constitutes a complex community composed of eukaryotes and prokaryotes that may exhibit different responses to multiple environmental stressors with implications for the projections of the effects of global change on shallow lakes. We analyzed the effects of warming, nutrient enrichment, small omnivorous fish and their interactions on eukaryotic and prokaryotic periphyton structures in shallow lake mesocosms.
View Article and Find Full Text PDFChem Soc Rev
January 2025
Department of Chemistry, Center of Chemistry for Frontier Technologies, Zhejiang University, Hangzhou 310027, China.
Carbon dioxide capture has attracted worldwide attention because CO emissions cause global warming and exacerbate climate change. Ionic liquids (ILs) have good application prospects in carbon capture due to their excellent properties, which provide a new chance to develop efficient and reversible carbon capture systems. This paper reviews the recent progress in CO chemical absorption by ILs, such as N-site, O-site, C-site, and multi-site functionalized ILs.
View Article and Find Full Text PDFAnn Glob Health
January 2025
Dow University of Health Sciences, Karachi, Pakistan.
Heat stroke (HS) represents a life‑endangering condition that is due to an imbalance between heat generation and dissipation, owing to exposure to hot environments or strenuous exercise. HS is a medical condition that is gaining increased prevalence throughout the world due to a steady rise in temperature, and massive mortalities have been recorded among vulnerable populations. In 2024, extreme heat waves led to increased cases of HS and related fatalities globally, particularly in Karachi, Pakistan.
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January 2025
Biology, York University, Toronto, Ontario, Canada.
Plant responses to changes in temperature can be a key factor in predicting the presence and managing invasive plant species while conserving resident native plant species in dryland ecosystems. Climate can influence germination, establishment, and seedling biomass of both native and invasive plant species. We tested the hypothesis that common and widely distributed native and an invasive plant species in dryland ecosystems in California respond differently to increasing temperatures.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Geo-information and Earth Observation Sciences, Mekelle University, P.O. Box 231, Mekelle, Ethiopia.
of long-term and future climate variability is crucial for impact assessment studies in drought-prone areas like the Giba basin in northern Ethiopia. This study has applied the statistical downscaling model (SDSM) and (De Martonne and Pinna combinative) aridity index methods to evaluate the climate system of the Giba basin. Historical data (1961-2019) from seven meteorological stations and global grided data were used for future climate projections (2020-2100) under the three emission scenarios (RCPs 2.
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