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当前和未来气候情景下中国稻水象甲的潜在分布预测

Potential Distribution Prediction of Retz. in China Under Current and Future Climate Scenarios.

作者信息

Dong Zhang-Hong, Jiang Hua, Zhang Wei, Wu Jianhua, Yang Yanping, Yang Taoming, Zhao Jiangping, Luo Cunzhen, Yang Xiaoxia, Li Guilin

机构信息

Forestry and Grassland Technique Extention Station of Baoshan City Baoshan China.

Forestry and Grassland Scientific Research Institute of Baoshan City Baoshan China.

出版信息

Ecol Evol. 2025 Jan 28;15(2):e70908. doi: 10.1002/ece3.70908. eCollection 2025 Feb.

Abstract

Climate change in the future could potentially expand, shrink, or alter the habitats of numerous species, leading to changes in their spatial distributions. Predicting suitable areas for cultivating medicinal plants through modeling has become an effective tool for assessing site suitability and conserving medicinal plant resources. Utilizing GIS and MaxEnt model, we predicted the spatial distribution of Retz. in China for the current and for the future (2050s and 2070s) under the RCP4.5 and RCP8.5 representative concentration pathways. In this study, we utilized 73 occurrence records and incorporated eight environmental factors from WorldClim for the modeling process. The findings revealed that the evaluation of the model's performance was based on the area under the curve (AUC) of the receiver operating characteristic (ROC). All AUC values exceeded 0.9, classifying these models as "Excellent." Additionally, the jackknife test analysis revealed that the main influential variables were bio11 and bio4. Under the present climate conditions, the estimated total suitable habitat for is approximately 29.14 × 10 km, representing around 2.78% of China's total land area. Within these suitable regions, high suitability, medium suitability, and low suitability areas make up 0.39%, 0.54%, and 1.85% of the total area, respectively. According to future climate, the potential growth range of is expected to expand due to climate variability, showing a significant pattern of expansion towards the north and east within China. In the 2050s and 2070s, the total area of regions with high suitability, medium suitability, and low suitability under RCP4.5 and RCP8.5 will increase compared to the current distribution. This study will provide theoretical suggestions for preservation, management, and sustainable utilization of resources.

摘要

未来的气候变化可能会扩大、缩小或改变众多物种的栖息地,导致其空间分布发生变化。通过建模预测药用植物的适宜种植区域已成为评估场地适宜性和保护药用植物资源的有效工具。利用地理信息系统(GIS)和最大熵(MaxEnt)模型,我们在代表性浓度路径RCP4.5和RCP8.5下,预测了当前以及未来(2050年代和2070年代)中国某植物(原文未明确写出植物名称,用“某植物”暂代)的空间分布。在本研究中,我们利用73个出现记录,并纳入了来自WorldClim的八个环境因子用于建模过程。研究结果表明,模型性能评估基于接收器操作特征(ROC)曲线下的面积(AUC)。所有AUC值均超过0.9,将这些模型归类为“优秀”。此外,刀切法检验分析表明,主要影响变量是生物11和生物4。在当前气候条件下,某植物的适宜栖息地总面积估计约为29.14×10平方千米,约占中国陆地总面积的2.78%。在这些适宜区域内,高适宜性、中等适宜性和低适宜性区域分别占总面积的0.39%、0.54%和1.85%。根据未来气候情况,由于气候变异性,某植物的潜在生长范围预计将扩大,在中国境内呈现出显著的向北和向东扩展的趋势。在2050年代和2070年代,与当前分布相比,RCP4.5和RCP8.5下高适宜性、中等适宜性和低适宜性区域的总面积将增加。本研究将为某植物资源的保护、管理和可持续利用提供理论建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c759/11775412/cdc780946e1a/ECE3-15-e70908-g008.jpg

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