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Changnienia amoena is a terrestrial orchid endemic to China and holds significant ornamental and medicinal value. Understanding the current and future potential geographic distribution patterns of C. amoena under climate change is crucial for its effective conservation and sustainable development. This study uses 48 distribution records and 19 environmental variables to simulate and predict the potential distribution and spatial pattern changes of C. amoena under different future gas emission scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) for both the 2050s and 2090s. The dominant environmental variables influencing its distribution were also identified. The MaxEnt model yielded an AUC of 0.990 and CBI of 0.959, indicating extremely high predictive accuracy. The key environmental variables influencing the distribution of C. amoena include the minimum temperature of coldest month (Bio06), annual precipitation (Bio12), isothermality (Bio03), land use classification, slope, topsoil USDA texture classification, elevation, and topsoil calcium carbonate. Among these, temperature and precipitation have relatively significant impacts on the distribution of C. amoena. Under the SSP1-2.6 scenario, the suitable habitat for C. amoena shows a slight contraction, while under the SSP2-4.5 and SSP5-8.5 scenarios, the suitable habitat shifts and expands significantly towards the northwest, higher latitude and altitude areas. This research has important scientific significance and practical guidance value for the in-situ conservation, ex-situ cultivation, and sustainable utilization of C. amoena.
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http://dx.doi.org/10.1038/s41598-025-02231-4 | DOI Listing |
NPJ Biofilms Microbiomes
September 2025
Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
The mechanisms by which vaginal microbiota shape spontaneous preterm birth (sPTB) risk remain poorly defined. Using electronic clinical records data from 74,913 maternities in conjunction with metaxanomic (n = 596) and immune profiling (n = 314) data, we show that the B blood group phenotype associates with increased risk of sPTB and adverse vaginal microbiota composition. The O blood group associates with sPTB in women who have a combination of a previous history of sPTB, an adverse vaginal microbial composition and pro-inflammatory cervicovaginal milieu.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
State Key Laboratory of Advanced Environmental Technology, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
The potential of PM to cause lung cancer has been well established; however, evidence regarding which specific components are responsible remains limited. We investigated dissolved organic matter (DOM) in PM using high-resolution mass spectrometry (HRMS) and cellular DNA damage assays to elucidate molecular composition and sources of carcinogenic components. Our analysis revealed hundreds of genotoxic compounds, with condensed aromatic amines predominating in number, abundance, and contribution to overall genotoxicity.
View Article and Find Full Text PDFSangyo Eiseigaku Zasshi
September 2025
Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan.
Objectives: Same-level falls are the most frequent type of occupational accidents in Japan, and approximately 35% of these accidents occurred among healthcare and retail workers. The aim of this study was to analyze the status of same-level falls in the healthcare and retail industries, where many such incidents occur, with a focus on outdoor same-level falls and to elucidate their characteristics.
Methods: This study targeted occupational accidents due to same-level falls that resulted in four or more days of absence from work among healthcare and retail workers, based on data from the 2021 Occupational Injury Database.
J Safety Res
September 2025
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, United States; School of Industrial and Systems Engineering, University of Oklahoma, Norman, OK 73019, United States. Electronic address:
Introduction: The Highway Safety Manual (HSM) offers crash prediction models for estimating the number and severity of crashes for several facility types. However, since these models were developed using data from selected states within the United States, they should be calibrated when applied to a new jurisdiction. The HSM recommended using a scalar calibration factor to calibrate the prediction models.
View Article and Find Full Text PDFJ Safety Res
September 2025
Zachry Department of Civil and Environmental Engineering, Texas A&M University, USA.
Introduction: Pedestrian safety has become a critical concern with the rising global population of older adults. Older pedestrians face higher crash risks due to age-related physical limitations, yet road infrastructure often fails to address their specific needs. Most studies treat older adults as a single group, overlooking variations in mobility and behavior.
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