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基于优化最大熵模型的青藏高原藏药历史、现状及未来分布格局预测

Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Based on the Optimized MaxEnt in the Qinghai-Tibet Plateau.

作者信息

Li Ming, Zhang Yi, Yang Yongsheng, Wang Tongxin, Wu Chu, Zhang Xiujuan

机构信息

College of Horticulture & Gardening, Yangtze University, Jingzhou 434025, China.

Key Laboratory of Adaptation and Evolution of Plateau Biota and Key Laboratory of Restoration Ecology in Cold Region of Qinghai Province, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.

出版信息

Plants (Basel). 2024 Feb 26;13(5):645. doi: 10.3390/plants13050645.

Abstract

Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants in the plateau region adapt to climate change will be instrumental in safeguarding the rich biodiversity of the highlands. Lindl. () is a valuable Tibetan medicinal resource with significant medicinal, ecological, and economic value. However, the growth of is severely constrained by stringent natural conditions, leading to a drastic decline in its resources. Therefore, it is crucial to study the suitable habitat areas of to facilitate future artificial cultivation and maintain ecological balance. In this study, we investigated the suitable zones of based on 79 occurrence points in the Qinghai-Tibet Plateau (QTP) and 23 major environmental variables, including climate, topography, and soil type. We employed the Maximum Entropy model (MaxEnt) to simulate and predict the spatial distribution and configuration changes in during different time periods, including the last interglacial (LIG), the Last Glacial Maximum (LGM), the Mid-Holocene (MH), the present, and future scenarios (2041-2060 and 2061-2080) under three different climate scenarios (SSP126, SSP370, and SSP585). Our results indicated that annual precipitation (Bio12, 613-2466 mm) and mean temperature of the coldest quarter (Bio11, -5.8-8.5 °C) were the primary factors influencing the suitable habitat of , with a cumulative contribution of 78.5%. The precipitation and temperature during the driest season had the most significant overall impact. Under current climate conditions, the suitable areas of covered approximately 63.72 × 10/km, encompassing Yunnan, Gansu, Sichuan, and parts of Xizang provinces, with the highest suitability observed in the Hengduan, Yunlin, and Himalayan mountain regions. In the past, the suitable area of experienced significant changes during the Mid-Holocene, including variations in the total area and centroid migration direction. In future scenarios, the suitable habitat of is projected to expand significantly under SSP370 (30.33-46.19%), followed by SSP585 (1.41-22.3%), while contraction is expected under SSP126. Moreover, the centroids of suitable areas exhibited multidirectional movement, with the most extensive displacement observed under SSP585 (100.38 km). This study provides a theoretical foundation for the conservation of biodiversity and endangered medicinal plants in the QTP.

摘要

气候变化在塑造植物分布的变化模式中起着关键作用,深入了解高原地区的药用植物如何适应气候变化,将有助于保护高地丰富的生物多样性。Lindl.()是一种珍贵的藏药资源,具有重要的药用、生态和经济价值。然而,其生长受到严苛自然条件的严重限制,导致其资源急剧减少。因此,研究其适宜栖息地对于促进未来人工种植和维持生态平衡至关重要。在本研究中,我们基于青藏高原(QTP)的79个分布点和23个主要环境变量,包括气候、地形和土壤类型,调查了其适宜区域。我们采用最大熵模型(MaxEnt)来模拟和预测在不同时间段,包括末次间冰期(LIG)、末次盛冰期(LGM)、中全新世(MH)、当前以及未来情景(2041 - 2060年和2061 - 2080年)下,在三种不同气候情景(SSP126、SSP370和SSP585)下的空间分布和格局变化。我们的结果表明,年降水量(Bio12,613 - 2466毫米)和最冷月平均温度(Bio11, - 5.8 - 8.5℃)是影响其适宜栖息地的主要因素,累计贡献率为78.5%。最干旱季节的降水和温度总体影响最为显著。在当前气候条件下,其适宜面积约为63.72×10/平方公里,涵盖云南、甘肃、四川和西藏部分省份,在横断山脉、云林和喜马拉雅山脉地区适宜性最高。过去,在中全新世期间其适宜面积经历了显著变化,包括总面积和质心迁移方向的变化。在未来情景中,预计在SSP370情景下其适宜栖息地将显著扩大(30.33 - 46.19%),其次是SSP585情景(1.41 - 22.3%),而在SSP126情景下预计会收缩。此外,适宜区域的质心呈现多方向移动,在SSP585情景下位移最为广泛(100.38公里)。本研究为青藏高原生物多样性和濒危药用植物的保护提供了理论基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2956/10933877/01b097cb66de/plants-13-00645-g001.jpg

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