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基于未来气候变化,利用最大熵模型预测青藏高原上[具体物种名称1]和[具体物种名称2]的潜在适生区。 (你原文中“and”前后缺少具体物种信息)

Prediction of the potentially suitable areas of and on the Qinghai-Tibet Plateau based on future climate change using the MaxEnt model.

作者信息

Dong Rui, Hua Li-Min, Hua Rui, Ye Guo-Hui, Bao Darhan, Cai Xin-Cheng, Cai Bin, Zhao Xi-Cun, Chu Bin, Tang Zhuang-Sheng

机构信息

Key Laboratory of Grassland Ecosystem of the Ministry of Education, College of Grassland Science, Gansu Agricultural University, Engineering and Technology Research Centre for Alpine Rodent Pest Control, National Forestry and Grassland Administration, Lanzhou, China.

出版信息

Front Plant Sci. 2023 Jul 20;14:1193690. doi: 10.3389/fpls.2023.1193690. eCollection 2023.

DOI:10.3389/fpls.2023.1193690
PMID:37546265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10400714/
Abstract

and are two species of poisonous plants with strong invasiveness in natural grasslands in China that have caused considerable harm to animal husbandry and the ecological environment. However, little is known about their suitable habitats and the key environmental factors affecting their distribution. Although some studies have reported the distributions of poisonous plants on the Qinghai-Tibet Plateau (QTP) and predicted their potential distributions at local scales in some regions under climate change, there have been few studies on the widespread distributions of and . In this study, we recorded 276 and 118 occurrence points of and on the QTP using GPS, and then used the MaxEnt model to predict the distribution of suitable habitats. Results showed that (1) under current climate conditions, and are mainly distributed in southern Gansu, eastern Qinghai, northwestern Sichuan, eastern Tibet, and southwestern Yunnan, accounting for approximately 34.9% and 39.8% of the total area of the QTP, respectively; (2) the main environmental variables affecting the distribution of suitable habitats for and are the Human Footprint Index (52.8%, 42.2%), elevation (11%, 4.4%), soil total nitrogen (18.9%, 4.2%), and precipitation seasonality (5.1%, 7.3%); and (3) in the future, in the 2050s and 2070s, the area of habitat of intermediate suitability for will spread considerably in northwest Sichuan, while that of high suitability for will spread to eastern Tibet and western Sichuan.

摘要

[文中提及的两种植物名称]和[文中提及的另一种植物名称]是中国天然草原上两种具有强入侵性的有毒植物,它们对畜牧业和生态环境造成了相当大的危害。然而,人们对它们的适宜栖息地以及影响其分布的关键环境因素知之甚少。尽管一些研究报告了青藏高原有毒植物的分布情况,并预测了气候变化下某些地区局部尺度上它们的潜在分布,但关于[文中提及的两种植物名称]广泛分布的研究却很少。在本研究中,我们使用全球定位系统记录了青藏高原上[文中提及的两种植物名称]的276个和118个出现点,然后使用最大熵模型预测适宜栖息地的分布。结果表明:(1)在当前气候条件下,[文中提及的两种植物名称]主要分布在甘肃南部、青海东部、四川西北部、西藏东部和云南西南部,分别占青藏高原总面积的约34.9%和39.8%;(2)影响[文中提及的两种植物名称]适宜栖息地分布的主要环境变量是人类足迹指数(分别为52.8%、42.2%)、海拔(分别为11%、4.4%)、土壤全氮(分别为18.9%、4.2%)和降水季节性(分别为5.1%、7.3%);(3)未来,在2050年代和2070年代,[文中提及的第一种植物名称]中等适宜栖息地面积将在四川西北部大幅扩展,而[文中提及的第二种植物名称]高适宜栖息地面积将扩展到西藏东部和四川西部。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/d872081f03fa/fpls-14-1193690-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/d86a9ef23237/fpls-14-1193690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/e0b8da4b7ece/fpls-14-1193690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/62df57ea8e0b/fpls-14-1193690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/7e79ca866b0d/fpls-14-1193690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/d872081f03fa/fpls-14-1193690-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/d86a9ef23237/fpls-14-1193690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/e0b8da4b7ece/fpls-14-1193690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/62df57ea8e0b/fpls-14-1193690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/7e79ca866b0d/fpls-14-1193690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8709/10400714/d872081f03fa/fpls-14-1193690-g005.jpg

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