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, commonly known as Galangal, is not only widely used as a medicinal plant but also holds significant ornamental value in horticulture and landscape design due to its unique plant structure and floral aesthetics in China. This study evaluates the impact of current and future climate change scenarios (ssp126, ssp245, ssp370, and ssp585) on the suitable habitats for in China. A total of 73 reliable distribution points for were collected, and 11 key environmental variables were selected. The ENMeval package was used to optimize the Maxent model, and the potential suitable areas for were predicted in combination with Biomod2. The results show that the optimized Maxent model accurately predicted the potential distribution of in China. Under low emission scenarios (ssp126 and ssp245), the suitable habitat area increased and expanded towards higher latitudes. However, under high emission scenarios (ssp370 and ssp585), the suitable habitat area significantly decreased, with the species distribution range shrinking by approximately 3.7% and 19.8%, respectively. Through Multivariate environmental similarity surface (MESS) and most dissimilar variable (MoD) analyses revealed that increased climate variability under high emission scenarios, especially in ssp585, led to large-scale habitat contraction due to rising temperatures and unstable precipitation patterns. Changes in the center of suitability location showed that the current center of 's suitable habitat is located in Guangxi, China. Under low emission scenarios, the center of suitability gradually shifts northwest, while under high emission scenarios, this shift becomes more pronounced. These findings provide a scientific basis for the conservation of germplasm resources and the management strategies in response to climate change.
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http://dx.doi.org/10.3389/fpls.2025.1517060 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Department of Biology, Stanford University, Stanford, CA 94305.
Climate change is expected to pose significant threats to public health, particularly vector-borne diseases. Despite dramatic recent increases in dengue that many anecdotally connect with climate change, the effect of anthropogenic climate change on dengue remains poorly quantified. To assess this link, we assembled local-level data on dengue across 21 countries in Asia and the Americas.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh 15213, Pennsylvania.
We model the effect of plug-in electric vehicle (EV) adoption on U.S. power system generator capacity investment, operations, and emissions through 2050 by estimating power systems outcomes under a range of EV adoption trajectory scenarios.
View Article and Find Full Text PDFPLoS One
September 2025
United States Department of Agriculture Forest Service, Pacific Northwest Research Station, Portland Oregon, United States of America.
Increasing wildfire activity in mesic, temperate Pacific Northwest forests west of the Cascade Range crest has stimulated interest in understanding whether alternative forest management practices could reduce risk of stand-replacing fire. To explore how management can enhance fire resistance in these forests and assess tradeoffs among resistance enhancement, carbon sequestration and storage, and economic returns, we conducted 40-year simulations of stand development with BioSum, a framework for conducting landscape analysis with the Forest Vegetation Simulator (FVS), utilizing a statistically representative and spatially balanced sample of Forest Inventory and Analysis (FIA) plots. Simulation outcomes under business-as-usual silviculture were contrasted with fire-aware silviculture, and treatment optimization logic was developed and applied to represent landscape-scale outcomes under business-as-usual and fire-focused management scenarios.
View Article and Find Full Text PDFArchit Struct Constr
September 2025
Department of Architecture and Civil Engineering, University of Bath, Bath, UK.
The construction sector faces the daunting task of meeting growing construction demand with a 'zero-emission resource pool'-materials that are compatible with a near-future zero-emissions economy. Most decarbonisation roadmaps and scenario analyses for the sector depend heavily on high-risk technologies such as carbon storage that have not yet been deployed at significant scale, or favour recycling whilst overlooking likely constraints from limited supplies of zero-emissions electricity. This paper therefore provides a first critical review of options to supply construction materials in the UK with realistic expectations about the availability of carbon storage, zero-emissions electricity and zero-emissions transport.
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.
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