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Premise: Climate change poses challenges to grasslands, including those of the North American Great Plains Region, where shifts in species distributions and fire dynamics are expected. Our present analysis focuses on remaining grasslands within this largely developed and agricultural region. The differential responses of C and C grass species to future climate conditions, particularly in habitat suitability and flammability, are critical for understanding ecosystem changes.
Methods: We used species distribution models to predict shifts in habitat suitability for 37 grass species under future climate scenarios and assessed flammability traits in a free-air CO-enrichment study, focusing on species' physiological responses to elevated CO, warming, and drought.
Results: Our models predicted that C species will retain higher habitat suitability, while C species will decline. Leaf-level flammability analysis showed that species with higher water-use efficiency under elevated CO will have lower flammability than under non-elevated, potentially decreasing the predicted rate of fire spread when such species dominate. In contrast, species with higher growth rates but lower water-use efficiency may be more flammable. Species-specific responses varied within functional types. Anticipated shifts in species distributions suggest C species will become more dominant, potentially altering competitive dynamics and reducing C diversity. Changes in flammability under future conditions are expected to influence fire regimes, with a predicted decrease in mean community rate of spread due to the dominance of less-flammable C species.
Conclusions: These findings highlight the need for adaptive fire management and conservation strategies to maintain biodiversity and ecosystem function in North American grasslands under climate change.
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http://dx.doi.org/10.1002/ajb2.70081 | DOI Listing |
Int Urol Nephrol
September 2025
Division of Nursing, Singapore General Hospital, Singapore, Singapore.
Objective: To explore healthcare professionals' perceptions on the implementation of home hemodialysis and self-assisted hemodialysis in Singapore and to identify the perceived barriers, facilitators, and actionable strategies for increasing uptake.
Methods: This is a qualitative explorative study based on semi-structured face-to-face interviews conducted with a multidisciplinary group of 12 healthcare professionals at an acute teaching hospital in Singapore. Thematic analysis was used for data analysis.
Mar Life Sci Technol
August 2025
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China.
Unlabelled: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. Traditional studies predict invasion risk based on the correlation between species' distribution and environmental factors, with little attention to the potential contribution of physiological factors. In this study, we incorporated temperature-dependent sex determination (TSD) and sex-ratio data into species distribution models (SDMs) to assess the current and future suitable habitats for the world's worst invasive reptile species, the pond slider turtle ().
View Article and Find Full Text PDFEcol Evol
September 2025
Laboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Science, Graduate School of Veterinary Medicine Hokkaido University Sapporo Japan.
The king cobra (), the world's largest venomous snake, is a vulnerable species with an expanding distribution in Nepal. This study modeled its current climatically suitable habitat and predicted future changes (2050 and 2070) under the SSP2-4.5 climate change scenario.
View Article and Find Full Text PDFBidens macroptera symbolizes the change of a season, marking the transition from the rainy season to autumn, heralding the new year for Ethiopians. Despite a general understanding of its geographic regions, significant gaps remain in identifying the habitat distribution and key predictor variables of Bidens macroptera through species distribution modeling (SDM) in the context of climate change. We developed an ensemble species distribution model using 2 statistical and 3 machine learning algorithms.
View Article and Find Full Text PDFGlob Chang Biol
September 2025
British Antarctic Survey, Cambridge, UK.
To date, environmental conditions have been enough to act as an effective barrier to prevent non-indigenous species from arriving and establishing in Arctic Canada. However, rapidly changing climatic conditions are creating more suitable habitats for non-indigenous species to potentially establish and become invasive. Concurrently, shipping traffic in parts of Arctic Canada has increased by over 250% since 1990, providing an effective vector for transporting non-indigenous species to the region.
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