• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

气候变化对中国西南部报春花属晶种报春组的影响。

The influence of climate change on Primula Sect. Crystallophlomis in southwest China.

作者信息

Li Ao, Zhou Hang, Luo Xuequn, Wang Jiafeng, Tian Jiaxing, Fu Zhixi, Xie Gan, Li Ling, Zhu Lijun, Hua Donglai

机构信息

College of Resources and Environment Engineering, Mianyang Teachers' College, Mianyang, 621000, China.

College of Life Science & Biotechnology, Mianyang Teachers' College, Mianyang, 621000, China.

出版信息

BMC Plant Biol. 2025 Apr 5;25(1):438. doi: 10.1186/s12870-025-06466-1.

DOI:10.1186/s12870-025-06466-1
PMID:40188017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11971751/
Abstract

PURPOSE

Climate change significantly affects the distribution of high-altitude plant species, particularly within the Primula Sect. Crystallophlomis found in Southwest China. This clade is valued for its ornamental and medicinal properties. This study aims to evaluate the impact of climate change on the potential distribution of P. crystallophlomis to inform conservation and ecological research.

METHODS

An optimized Maximum Entropy model (MaxEnt) was utilized to predict the suitable habitat areas of P. crystallophlomis under 9 scenarios, using 161 distribution records and 22 environmental variables. The model parameters were set to RM = 1.5 and FC = LQH, achieving a high prediction accuracy with an Area Under the Curve (AUC) value of 0.820.

RESULTS

The analysis identified key environmental factors influencing the suitable habitat of P. crystallophlomis, including annual precipitation (bio-12), temperature seasonality (bio-4), mean diurnal range (bio-2), and precipitation seasonality (bio-15). Under current climate conditions, the suitable habitats are primarily located in the eastern Qinghai-Tibet Plateau, Hengduan Mountains, and Yunnan-Guizhou Plateau, exhibiting significant fragmentation. Notable declines in potential habitat area were observed from the Last Glacial Maximum (LGM) to the Mid-Holocene (MH), with future projections indicating further reductions, particularly under the Shared Socioeconomic Pathways 585 (SSP-585) scenario.

CONCLUSION

The suitable habitat of P. crystallophlomis, which tends to grow in consistently cold and moist environments, is expected to shrink, with a projected southward shift in its centroid. Global warming is anticipated to profoundly impact the suitable habitats of P. crystallophlomis, highlighting the urgent need for conservation efforts.

摘要

目的

气候变化显著影响高海拔植物物种的分布,尤其是在中国西南部发现的报春花属的冰雪报春组。该分支因其观赏和药用特性而受到重视。本研究旨在评估气候变化对冰雪报春潜在分布的影响,为保护和生态研究提供信息。

方法

利用优化的最大熵模型(MaxEnt),根据161条分布记录和22个环境变量,预测冰雪报春在9种情景下的适宜栖息地面积。模型参数设置为RM = 1.5和FC = LQH,曲线下面积(AUC)值为0.820,预测准确率较高。

结果

分析确定了影响冰雪报春适宜栖息地的关键环境因素,包括年降水量(bio-12)、温度季节性(bio-4)、平均日较差(bio-2)和降水季节性(bio-15)。在当前气候条件下,适宜栖息地主要位于青藏高原东部、横断山脉和云贵高原,呈现出明显的碎片化。从上新世末次冰盛期(LGM)到中全新世(MH),潜在栖息地面积显著减少,未来预测表明还会进一步减少,特别是在共享社会经济路径585(SSP-585)情景下。

结论

冰雪报春适宜在持续寒冷潮湿的环境中生长,其适宜栖息地预计将缩小,重心预计向南移动。预计全球变暖将对冰雪报春的适宜栖息地产生深远影响,凸显了保护工作的紧迫性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/2d209fe56f5c/12870_2025_6466_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/6ace0b65cf9f/12870_2025_6466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/a1895dbfe32c/12870_2025_6466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/edd9da85c62e/12870_2025_6466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/2daf436f7546/12870_2025_6466_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/fc1c51374322/12870_2025_6466_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/412da737609f/12870_2025_6466_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/f54208743033/12870_2025_6466_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/2d209fe56f5c/12870_2025_6466_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/6ace0b65cf9f/12870_2025_6466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/a1895dbfe32c/12870_2025_6466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/edd9da85c62e/12870_2025_6466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/2daf436f7546/12870_2025_6466_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/fc1c51374322/12870_2025_6466_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/412da737609f/12870_2025_6466_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/f54208743033/12870_2025_6466_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4320/11971751/2d209fe56f5c/12870_2025_6466_Fig8_HTML.jpg

相似文献

1
The influence of climate change on Primula Sect. Crystallophlomis in southwest China.气候变化对中国西南部报春花属晶种报春组的影响。
BMC Plant Biol. 2025 Apr 5;25(1):438. doi: 10.1186/s12870-025-06466-1.
2
Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Based on the Optimized MaxEnt in the Qinghai-Tibet Plateau.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
Plants (Basel). 2024 Feb 26;13(5):645. doi: 10.3390/plants13050645.
3
Predicting the Potential Distribution of the Endangered in China Using an Optimized Maxent Model Under Climate Change Scenarios.气候变化情景下基于优化最大熵模型预测中国濒危物种的潜在分布
Ecol Evol. 2024 Nov 3;14(11):e70503. doi: 10.1002/ece3.70503. eCollection 2024 Nov.
4
[Applying Biomod2 for modeling of species suitable habitats:a case study of Paeonia lactiflora in China].[应用Biomod2对物种适宜栖息地进行建模:以中国芍药为例]
Zhongguo Zhong Yao Za Zhi. 2022 Jan;47(2):376-384. doi: 10.19540/j.cnki.cjcmm.20211023.101.
5
Assessing the distribution pattern of Saussurea medusa under climate change using an optimized MaxEnt model in Qinghai-Xizang Plateau.利用优化的最大熵模型评估青藏高原气候变化下水母雪兔子的分布格局。
Environ Monit Assess. 2025 Jan 13;197(2):165. doi: 10.1007/s10661-024-13549-3.
6
Predicting the potential global distribution of Sapindus mukorossi under climate change based on MaxEnt modelling.基于 MaxEnt 模型预测气候变化下无患子的潜在全球分布。
Environ Sci Pollut Res Int. 2022 Mar;29(15):21751-21768. doi: 10.1007/s11356-021-17294-9. Epub 2021 Nov 12.
7
Distributional responses to climate change of two maple species in southern China.中国南方两种枫树对气候变化的分布响应。
Ecol Evol. 2023 Aug 31;13(9):e10490. doi: 10.1002/ece3.10490. eCollection 2023 Sep.
8
Predicting the impact of climate change on the distribution of rhododendron on the qinghai-xizang plateau using maxent model.利用最大熵模型预测气候变化对青藏高原杜鹃分布的影响
Sci Rep. 2025 Mar 24;15(1):10055. doi: 10.1038/s41598-025-95016-8.
9
Identifying climate refugia for wild yaks (Bos mutus) on the Tibetan Plateau.确定青藏高原野生牦牛(Bos mutus)的气候避难所。
J Environ Manage. 2024 Aug;366:121655. doi: 10.1016/j.jenvman.2024.121655. Epub 2024 Jul 8.
10
Prediction of Potential Habitat Distributions and Climate Change Impacts on the Rare Species (Magnoliaceae) in China Based on MaxEnt.基于最大熵模型对中国珍稀物种(木兰科)潜在栖息地分布及气候变化影响的预测
Plants (Basel). 2024 Dec 30;14(1):86. doi: 10.3390/plants14010086.

本文引用的文献

1
Predicting Quercus gilva distribution dynamics and its response to climate change induced by GHGs emission through MaxEnt modeling.通过最大熵模型预测枹栎分布动态及其对温室气体排放引起的气候变化的响应。
J Environ Manage. 2024 Apr;357:120841. doi: 10.1016/j.jenvman.2024.120841. Epub 2024 Apr 6.
2
Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Based on the Optimized MaxEnt in the Qinghai-Tibet Plateau.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
Plants (Basel). 2024 Feb 26;13(5):645. doi: 10.3390/plants13050645.
3
Arctic sea ice retreat fuels boreal forest advance.
北极海冰消退推动北方森林扩张。
Science. 2024 Feb 23;383(6685):877-884. doi: 10.1126/science.adh2339. Epub 2024 Feb 22.
4
Predicting the Potential Distribution of Kunth, an Invasive Species in China with a Maximum Entropy Model.利用最大熵模型预测中国外来入侵物种昆氏(物种名)的潜在分布
Plants (Basel). 2023 Nov 28;12(23):3999. doi: 10.3390/plants12233999.
5
Modelling the current and future distribution potential areas of Peperomia abyssinica Miq., and Helichrysum citrispinum Steud. ex A. Rich. in Ethiopia.模拟埃塞俄比亚非洲椒草和柠檬盆菊的当前和未来分布潜力区。
BMC Ecol Evol. 2023 Dec 6;23(1):71. doi: 10.1186/s12862-023-02177-z.
6
Simulation of mangrove suitable habitat in the Guangdong-Hong Kong-Macao Area under the background of climate change.模拟气候变化背景下粤港澳地区红树林适宜栖息地。
J Environ Manage. 2024 Feb;351:119678. doi: 10.1016/j.jenvman.2023.119678. Epub 2023 Dec 2.
7
Geographic distribution and impacts of climate change on the suitable habitats of Rhamnus utilis Decne in China.中国特有植物尖叶鼠李的适生区分布及其对气候变化的响应。
BMC Plant Biol. 2023 Nov 27;23(1):592. doi: 10.1186/s12870-023-04574-4.
8
Impacts of Climate Changes on Geographic Distribution of , an Endangered Herb in China.气候变化对中国一种濒危草本植物地理分布的影响。
Plants (Basel). 2023 Oct 13;12(20):3561. doi: 10.3390/plants12203561.
9
The geography of climate and the global patterns of species diversity.气候的地理分布与物种多样性的全球格局。
Nature. 2023 Oct;622(7983):537-544. doi: 10.1038/s41586-023-06577-5. Epub 2023 Sep 27.
10
Climate change will accelerate the high-end risk of compound drought and heatwave events.气候变化将加速复合干旱和热浪事件的高端风险。
Proc Natl Acad Sci U S A. 2023 Jul 11;120(28):e2219825120. doi: 10.1073/pnas.2219825120. Epub 2023 Jul 3.