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基于优化最大熵模型预测气候变化下某物种的全球分布(原文中“L.”指代不明,推测为某一物种)

Predicting the Global Distribution of L. Under Climate Change Based on Optimized MaxEnt Modeling.

作者信息

Lu Ke, Liu Mili, Feng Qi, Liu Wei, Zhu Meng, Duan Yizhong

机构信息

Shaanxi Key Laboratory of Ecological Restoration in Northern Shaanxi Mining Area, College of Life Science, Yulin University, Yulin 719000, China.

Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.

出版信息

Plants (Basel). 2024 Dec 28;14(1):67. doi: 10.3390/plants14010067.

DOI:10.3390/plants14010067
PMID:39795327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11722589/
Abstract

The genus of L. are Tertiary-relict desert sand-fixing plants, which are an important forage and agricultural product, as well as an important source of medicinal and woody vegetable oil. In order to provide a theoretical basis for better protection and utilization of species in the L., this study collected global distribution information within the L., along with data on 29 environmental and climatic factors. The Maximum Entropy (MaxEnt) model was used to simulate the globally suitable distribution areas for L. The results showed that the mean AUC value was 0.897, the TSS average value was 0.913, and the model prediction results were excellent. UV-B seasonality (UVB-2), UV-B of the lowest month (UVB-4), precipitation of the warmest quarter (bio18), the DEM (Digital Elevation Model), and annual precipitation (bio12) were the key variables affecting the distribution area of L, with contributions of 54.4%, 11.1%, 8.3%, 7.4%, and 4.1%, respectively. The L. plants are currently found mainly in Central Asia, North Africa, the neighboring Middle East, and parts of southern Australia and Siberia. In future scenarios, except for a small expansion of the 2030s scenario model L., the potential suitable distribution areas showed a decreasing trend. The contraction area is mainly concentrated in South Asia, such as Afghanistan and Pakistan, North Africa, Libya, as well as in areas of low suitability in northern Australia, where there was also significant shrinkage. The areas of expansion are mainly concentrated in the Qinghai-Tibet Plateau to the Iranian plateau, and the Sahara Desert is also partly expanded. With rising Greenhouse gas concentrations, habitat fragmentation is becoming more severe. Center-of-mass migration results also suggest that the potential suitable area of L. will shift northwestward in the future. This study can provide a theoretical basis for determining the scope of L. habitat protection, population restoration, resource management and industrial development in local areas.

摘要

L.属植物是第三纪残遗沙漠固沙植物,是重要的饲料和农产品,也是药用和木本植物油的重要来源。为了为更好地保护和利用L.属物种提供理论依据,本研究收集了L.属的全球分布信息以及29个环境和气候因素的数据。利用最大熵(MaxEnt)模型模拟了L.属植物在全球的适宜分布区。结果表明,平均AUC值为0.897,TSS平均值为0.913,模型预测结果良好。UV-B季节性变化(UVB-2)、最低月UV-B(UVB-4)、最暖季度降水量(bio18)、数字高程模型(DEM)和年降水量(bio12)是影响L.属植物分布区的关键变量,贡献率分别为54.4%、11.1%、8.3%、7.4%和4.1%。目前,L.属植物主要分布在中亚、北非、邻近的中东地区以及澳大利亚南部和西伯利亚的部分地区。在未来情景中,除了2030年代情景模型中L.属植物有小幅扩张外,潜在适宜分布区呈下降趋势。收缩区域主要集中在南亚,如阿富汗和巴基斯坦、北非的利比亚,以及澳大利亚北部适宜性较低的地区,这些地区也有显著收缩。扩张区域主要集中在青藏高原至伊朗高原,撒哈拉沙漠也有部分扩张。随着温室气体浓度上升,栖息地破碎化日益严重。质心迁移结果还表明,未来L.属植物的潜在适宜区域将向西北方向转移。本研究可为确定当地L.属植物栖息地保护范围、种群恢复、资源管理和产业发展提供理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/857c/11722589/689311d7cad3/plants-14-00067-g011.jpg
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