Suppr超能文献

预测气候变化情景下中国境内某物种的潜在地理分布。(注:原文中“L.”指代不明,这里按照通用表述翻译)

Predicting the Potential Geographical Distribution of L. in China under Climate Change Scenarios.

作者信息

Yang Meilin, Sun Lingxiao, Yu Yang, Zhang Haiyan, Malik Ireneusz, Wistuba Małgorzata, Yu Ruide

机构信息

State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

Faculty of Earth Sciences, University of Silesia in Katowice, 41-200 Sosnowiec, Poland.

出版信息

Plants (Basel). 2023 Oct 31;12(21):3735. doi: 10.3390/plants12213735.

Abstract

L. has high nutritional and medicinal value. Little is known about the properties of its habitat distribution and the important eco-environmental factors shaping its suitability. (Royle) Boriss., Schrenk, (Regel) Maxim., and (Pall.) Fisch. et Mey., which are National Grade II Protected Plants, were selected for this research. Based on high-resolution environmental data for the past, current, and future climate scenarios, we modeled the suitable habitat for four species by MaxEnt, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. The results indicate that the growth distribution of , and is most affected by bio10 (mean temperature of warmest quarter), bio3 (isothermality), and bio12 (annual precipitation), whereas that of is most affected by bio8 (mean temperature of wettest quarter), bio13 (precipitation of wettest month), and bio16 (precipitation of wettest quarter). Under the current climate scenario, and are primarily distributed in Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, and according to the 2070 climate scenario, the suitable habitats for both species are expected to expand. On the other hand, the suitable habitats for and , which are primarily concentrated in southwestern Xinjiang, Tibet, eastern Qinghai, Sichuan, northern Yunnan, and southern Gansu in China, are projected to decrease under the 2070 climate scenario. Given these results, the four species included in our study urgently need to be subjected to targeted observation management to ensure the renewal of communities. In particular, and should be given more attention. This study provides a useful reference with valuable insights for developing effective management and conservation strategies for these four nationally protected plant species.

摘要

L.具有很高的营养和药用价值。人们对其栖息地分布的特性以及形成其适宜性的重要生态环境因素知之甚少。本研究选取了(Royle)Boriss.、Schrenk、(Regel)Maxim.和(Pall.)Fisch. et Mey.这几种国家二级保护植物。基于过去、当前和未来气候情景的高分辨率环境数据,我们通过最大熵模型(MaxEnt)对这四个物种的适宜栖息地进行了建模,评估了环境因素对其分布形成的重要性,并确定了气候变化情景下的分布变化。结果表明,[此处原文可能缺失具体物种名]、[此处原文可能缺失具体物种名]和[此处原文可能缺失具体物种名]的生长分布受生物10(最暖季度平均温度)、生物3(等温性)和生物12(年降水量)影响最大,而[此处原文可能缺失具体物种名]的生长分布受生物8(最湿季度平均温度)、生物13(最湿月降水量)和生物16(最湿季度降水量)影响最大。在当前气候情景下,[此处原文可能缺失具体物种名]和[此处原文可能缺失具体物种名]主要分布在中国的西藏、青海东部、四川、云南北部和甘肃南部,根据2070年气候情景,这两个物种的适宜栖息地预计将扩大。另一方面,[此处原文可能缺失具体物种名]和[此处原文可能缺失具体物种名]主要集中在中国新疆西南部、西藏、青海东部、四川、云南北部和甘肃南部,预计在2070年气候情景下其适宜栖息地将减少。鉴于这些结果,我们研究中包含的这四个物种迫切需要进行有针对性的观测管理,以确保[此处原文可能缺失具体群落名]群落的更新。特别是,[此处原文可能缺失具体物种名]和[此处原文可能缺失具体物种名]应得到更多关注。本研究为制定这四种国家保护植物物种的有效管理和保护策略提供了有用的参考和宝贵的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52a/10648157/737b6649a907/plants-12-03735-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验