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使用最大熵模型评估全球变暖对扎格罗斯中部的绵枣儿和香根芹分布的影响。

Assessing the impact of global warming on the distributions of Allium stipitatum and Kelussia odoratissima in the Central Zagros using a MaxEnt model.

作者信息

Nasab Farzaneh Khajoei, Zeraatkar Amin

机构信息

Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center (AREEO), Shahrekord, Iran.

出版信息

PLoS One. 2025 Apr 16;20(4):e0321167. doi: 10.1371/journal.pone.0321167. eCollection 2025.

Abstract

Global warming is an undeniable fact occurring in different parts of the world. Climate changes can have irreversible effects on plant communities, particularly on endemic and endangered species. Therefore, it is important to predict the impact of climate change on the distribution of these species to help protect them. This study utilized the MaxEnt model to forecast the impact of climate change on the distributions of two medicinal, edible, and aromatic species, Kelussia odoratissima and Allium stipitatum, in Chaharmahal and Bakhtiari province. The study used the CCSM4 general circulation model along with two climate scenarios, RCP2.6 and RCP8.5, for the 2050s and 2070s to predict the potential impact of climate change on the distribution of the species studied. The research findings indicated that the model performed effectively for prediction (AUC≥0.9). The primary environmental variables influencing species distribution were found to be isothermality (Bio3), soil organic carbon, and pH for A. stipitatum, and soil organic carbon, precipitation seasonality (Bio15), and precipitation of the wettest month (Bio13) for K. odoratissima. The findings suggest that the distribution of the studied species is expected to decline in the 2050s and 2070s due to climate change, under both the RCP2.6 and RCP8.5 climate scenarios. The research indicates that climate change is likely to have a significantly negative effect on the habitats of these species, leading to important ecological and socio-economic impacts. Therefore, our study emphasizes the urgent need for conservation efforts to prevent their extinction and protect their habitats.

摘要

全球变暖是在世界不同地区发生的一个不可否认的事实。气候变化会对植物群落产生不可逆转的影响,尤其是对特有和濒危物种。因此,预测气候变化对这些物种分布的影响对于保护它们很重要。本研究利用最大熵模型(MaxEnt模型)预测气候变化对恰哈马哈勒-巴赫蒂亚里省两种药用、可食用和芳香植物——香根芹(Kelussia odoratissima)和具梗葱(Allium stipitatum)分布的影响。该研究使用了CCSM4全球环流模型以及RCP2.6和RCP8.5两种气候情景,针对2050年代和2070年代预测气候变化对所研究物种分布的潜在影响。研究结果表明,该模型在预测方面表现有效(AUC≥0.9)。影响具梗葱物种分布的主要环境变量是等温性(生物气候变量3)、土壤有机碳和pH值,而影响香根芹分布的主要环境变量是土壤有机碳、降水季节性(生物气候变量15)和最湿月降水量(生物气候变量13)。研究结果表明,在RCP2.6和RCP8.5两种气候情景下,由于气候变化,预计所研究物种的分布在2050年代和2070年代将会减少。该研究表明,气候变化可能会对这些物种的栖息地产生重大负面影响,从而导致重要的生态和社会经济影响。因此,我们的研究强调迫切需要开展保护工作以防止它们灭绝并保护其栖息地。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b5/12002440/9a0b3cce6eed/pone.0321167.g001.jpg

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