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基于最大熵模型预测气候变化对1826年柯蒂斯在中国未来分布的影响。

Predicting the Impact of Climate Change on the Future Distribution of Curtis, 1826, in China Based on the MaxEnt Model.

作者信息

Gao Hui, Wei Xinju, Peng Yaqin, Zhuo Zhihang

机构信息

College of Life Science, China West Normal University, Nanchong 637002, China.

College of Environmental Science and Engineering, China West Normal University, Nanchong 637002, China.

出版信息

Insects. 2024 Jun 9;15(6):437. doi: 10.3390/insects15060437.

Abstract

Curtis, 1826, belongs to the Coleoptera order, Staphylinidae family, and genus (Fabricius, 1775). It has a wide distribution and strong invasive and environmental adaptation capabilities. As a predatory natural enemy of agricultural and forestry pests, understanding its suitable habitat is crucial for the control of other pests. This study, for the first time, uses the MaxEnt model and ArcGIS software, combining known distribution information of and climate environmental factors to predict the current and future suitable habitat distribution of this insect. The key environmental variables affecting the distribution of have been identified as mean diurnal range (mean of monthly (max temp-min temp)) (bio2), isothermality (Bio2/Bio7) (*100) (bio3), minimum temperature of the coldest month (bio6), temperature annual range (bio5-bio6) (bio7), mean temperature of the driest quarter (bio9), mean temperature of the coldest quarter (bio11), precipitation of the wettest month (bio13), precipitation of the driest month (bio14), and precipitation seasonality (coefficient of variation) (bio15). The highly suitable areas for in China are mainly distributed in the hilly regions of Shandong, the North China Plain, and the middle and lower reaches of the Yangtze River Plain, with a total suitable area of 118.96 × 10 km, accounting for 12.35% of China's total area. According to future climate change scenarios, it is predicted that the area of highly and lowly suitable regions will significantly decrease, while moderately suitable regions will increase (except for the 2090s, SSP2-4.5 scenario). These research findings provide important theoretical support for pest control and ecological conservation applications.

摘要

柯蒂斯(1826年)属于鞘翅目、隐翅虫科及[具体属名(法布里修斯,1775年)]。它分布广泛,具有很强的入侵性和环境适应能力。作为农林害虫的捕食性天敌,了解其适宜栖息地对于控制其他害虫至关重要。本研究首次使用最大熵模型和ArcGIS软件,结合[昆虫名称]的已知分布信息和气候环境因素,预测该昆虫当前和未来的适宜栖息地分布。已确定影响[昆虫名称]分布的关键环境变量为日平均温差(月平均最高温度 - 月平均最低温度的平均值)(生物2)、等温性(生物2/生物7)(×100)(生物3)、最冷月最低温度(生物6)、年温度范围(生物5 - 生物6)(生物7)、最干燥季度平均温度(生物9)、最寒冷季度平均温度(生物11)、最湿润月降水量(生物13)、最干燥月降水量(生物14)以及降水季节性(变异系数)(生物15)。在中国,[昆虫名称]的高度适宜区域主要分布在山东丘陵地区、华北平原以及长江中下游平原,适宜总面积为118.96×10平方千米,占中国总面积的12.35%。根据未来气候变化情景预测,高度适宜和低度适宜区域的面积将显著减少,而中度适宜区域将增加(2090年代的SSP2 - 4.5情景除外)。这些研究结果为害虫防治和生态保护应用提供了重要的理论支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff45/11203407/06a0c8b4f005/insects-15-00437-g001.jpg

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