Species distribution modelling of invasive alien species; Pterois miles for current distribution and future suitable habitats

C. Turan
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引用次数: 5

Abstract

The present study aims to predict the potential geographic distribution and future expansion of invasive alien lionfish (Pterois miles) with ecological niche modelling along the Mediterranean Sea. The primary data consisted of occurrence points of P. miles in the Mediterranean and marine climatic data layers were collected from global databases. All the used models run 100% success predictions, and true skill statistics and area under the receiver operating characteristic curve values ranged from 0.42 and 0.71 to 0.86 and 0.95 for current distribution modelling; and 0.0 and 0.0 to 0.83 and 0.94 for the future distribution modelling, respectively. The mean sea surface temperature and maximum bathymetry played an important role in the prediction of the model and explained relatively higher biological importance to the extension and adaptation of P. miles with extreme environmental factors. The predicted suitable habitats of P. miles under the current climate dominantly occurred in the east parts of coastal areas of the Mediterranean. The predicted future suitable habitats of P. miles revealed that P. miles increase its range of distribution dominantly to the central and west part of the Mediterranean in a spatial extent, indicating high suitability of these areas for its future distribution.
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外来入侵物种分布模型研究为目前的分布和未来的适宜栖息地
本研究旨在通过地中海沿岸的生态位模型预测入侵外来狮子鱼(Pterois miles)的潜在地理分布和未来扩张。主要数据包括地中海P.miles的发生点,海洋气候数据层是从全球数据库中收集的。所有使用的模型都运行100%的成功预测,对于电流分布建模,真实技能统计数据和受试者工作特性曲线下面积值的范围从0.42和0.71到0.86和0.95;未来分布建模分别为0.0和0.0至0.83和0.94。平均海面温度和最大水深在模型的预测中发挥了重要作用,并解释了P.miles在极端环境因素下的扩展和适应具有相对较高的生物学重要性。在当前气候条件下,预测的P.miles的适宜栖息地主要分布在地中海东部沿海地区。对P.miles未来适宜栖息地的预测表明,P.miles在空间上的分布范围主要增加到地中海中部和西部,表明这些地区对其未来的分布具有高度的适宜性。
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来源期刊
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
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