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Evaluating the vulnerability of Tetracentron sinense habitats to climate-induced latitudinal shifts

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DataONE2024-07-09 更新2024-07-27 收录
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Objective: Exploring the changing process of the geographical distribution pattern of Tetracentron sinense Oliv. and its main influencing factors since the last interglacial period can provide a scientific basis for the effective protection and management of the species. Methods: The MaxEnt model was used to construct the potential distribution areas of T. sinense in different periods such as the last interglacial (LIG), the last glacial maximum (LGM), the Mid-Holocene (MID), the current and future (2050s, 2070s). On the premise of discussing the influence of dominant environmental factors on its distribution model, the suitable area changes of T. sinense under different ecological climate situations were quantitatively analyzed. Results: (1) The AUC and TSS values predicted by the optimized model were 0.959 and 0.835, respectively, indicating a good predictive effect by the MaxEnt model; the potential suitable areas for T. sinense in the current period are mainly located in southwest C..., , , # Evaluating the vulnerability of Tetracentron sinense habitats to climate-induced latitudinal shifts [https://doi.org/10.5061/dryad.vx0k6dk0m](https://doi.org/10.5061/dryad.vx0k6dk0m) **Datasets** Utilizing the MaxEnt model and ArcGIS spatial analysis technology, this study examines potentially suitable areas for *T. sinense* across historical periods (the last interglacial period, the last glacial maximum, and the Middle Holocene) as well as current and future periods (2050s and 2070s). The objectives of this study are to (1) analyze the dynamic changes in potentially suitable areas, (2) investigate the main environmental factors driving changes in the distribution pattern of *Tetracentron sinense*, and (3) suggest a scientific basis for the effective protection and management of *Tetracentron sinense.* Occurrence points: The distribution records of *Tetracentron sinense* are sourced from various data platforms such as Flora Reipublicae Popularis Sinicae ([http://iplant.cn/](http:...
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2024-07-10
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