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基于生态位建模的末次间冰期至未来的分布模式

Distribution Patterns of From the Last Interglacial Period to the Future by Ecological Niche Modeling.

作者信息

Li Chun-Jiao, Xie Xin-Tong, Shi Tuo

机构信息

College of Life Science, Shenyang Normal University Shenyang Liaoning China.

出版信息

Ecol Evol. 2025 Mar 30;15(4):e71198. doi: 10.1002/ece3.71198. eCollection 2025 Apr.

Abstract

Global climate change may represent a significant threat to the distribution and quality of medicinal plants, altering cultivation areas and compromising the quality of medical materials. , a traditional Chinese medicinal herb, has a millennia-long medicinal and culinary use history in East Asia. Given its escalating demand, accurately evaluating the changes under different climate scenarios and predicting its potential distribution are imperative for ensuring its conservation and sustainable utilization. By integrating MaxEnt with ArcGIS, this study advances previous approaches by incorporating historical, present, and future climate data to model the distribution dynamics of across China. The results indicated: (1) The species' distribution strongly correlates with environmental variables, particularly bio13, prec07, prec09, and tmin07, whose cumulative value of percent contribution was 78.5%; (2) The centroids of potential geographic distribution during the LIG, LGM, and MH periods were situated further westward compared to the present distribution, with substantial contraction observed in highly suitable habitats throughout these historical periods; (3) Under present climatic conditions, the overall suitable habitat encompasses 4,185,964 km, with highly suitable habitats constituting one-third of this expanse, predominantly concentrated in central, southern, and northeastern China; (4) Future climate change scenarios predict that the total suitable habitat will expand to varying degrees (7% increase on average), albeit with potential reductions in highly suitable areas (3% decrease on average); and (5) The distribution of is likely to move toward higher latitudes in the future due to climate changes. Our findings fill a critical knowledge gap by quantifying the impact of climate change on the distribution of . These results offer crucial insights for developing effective conservation strategies, promoting sustainable utilization, and establishing standardized cultivation protocols for resources.

摘要

全球气候变化可能对药用植物的分布和质量构成重大威胁,改变种植区域并危及药材质量。[具体草药名称未给出]是一种传统的中药材,在东亚有着长达数千年的药用和烹饪使用历史。鉴于其需求不断攀升,准确评估不同气候情景下的变化并预测其潜在分布对于确保其保护和可持续利用至关重要。通过将最大熵模型(MaxEnt)与ArcGIS相结合,本研究通过纳入历史、当前和未来气候数据改进了以往的方法,以模拟[具体草药名称未给出]在中国的分布动态。结果表明:(1)该物种的分布与环境变量密切相关,特别是bio13、prec07、prec09和tmin07,其累计贡献百分比值为78.5%;(2)与当前分布相比,全新世大暖期(LIG)、末次盛冰期(LGM)和中全新世(MH)时期潜在地理分布的重心位于更西部,在这些历史时期,高度适宜栖息地出现了大幅收缩;(3)在当前气候条件下,总体适宜栖息地面积为4185964平方千米,其中高度适宜栖息地占这一面积的三分之一,主要集中在中国中部、南部和东北部;(4)未来气候变化情景预测,总体适宜栖息地将不同程度地扩大(平均增加7%),尽管高度适宜区域可能会减少(平均减少3%);(5)由于气候变化,[具体草药名称未给出]的分布未来可能会向更高纬度移动。我们的研究结果通过量化气候变化对[具体草药名称未给出]分布的影响填补了关键的知识空白。这些结果为制定有效的保护策略、促进可持续利用以及建立[具体草药名称未给出]资源的标准化种植方案提供了重要见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a507/11955282/95a1e1af76da/ECE3-15-e71198-g005.jpg

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