ArticleFrontiers in cellular and infection microbiology2026
Analysis of suitable areas for
Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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8 authors.
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Abstract
Objective: Methods: This study integrated two sets of baseline data, with 24,281 specimens collected from 45 counties across six provinces through field surveys and extra records from 475 distribution sites collated via literature retrieval. Climate data with 19 bioclimatic variables and geographic data including elevation, slope, aspect and vegetation coverage were obtained from open-access online databases (data retrieval cutoff: 2023). The Maximum Entropy (MaxEnt) model was applied to simulate habitat suitability. The area under the receiver operating characteristic curve was used to evaluate model performance, and the Jackknife test was conducted to determine the relative importance of each environmental factor. Results: The MaxEnt model produced an outstanding AUC value of 0.917 ± 0.007, demonstrating robust predictive performance. Vegetation coverage emerged as the primary environmental driver, followed by the minimum temperature of the coldest month (bio_6), mean temperature of the driest quarter (bio_9), and annual precipitation (bio_12). The contemporary suitable habitat for Conclusions: This study potentially delineates the suitable ecological niche of
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