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预测气候变化下中国(膜翅目:肿腿蜂科)的分布情况。

Predicting the Distribution of (Hymenoptera: Bethylidae) under Climate Change in China.

作者信息

Gao Hui, Qian Qianqian, Liu Lijuan, Xu Danping

机构信息

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

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

出版信息

Insects. 2023 May 18;14(5):475. doi: 10.3390/insects14050475.

Abstract

is the natural enemy of the longicorn beetle due to its strong attack ability and high parasitic rate. Its good resistance and fecundity make it have significant biological control value. The Maxent model and ArcGIS software were used to simulate the current distribution of in China by combining the known distribution information and environmental variables and predict the suitable area of the 2050s (2041-2060) and 2090s (2081-2000) under three climate scenarios (SSP1-2.6, SSP2-4.5. and SSP5-8.5). The results showed that the Mean Diurnal Range (bio2), Min Temperature of the Coldest Month (bio6), Precipitation of the Warmest Quarter (bio18), and Max Temperature of the Warmest Month (bio5) were the key environmental variables affecting the distribution of . Southwest China and part of North China are the main concentrations of the current high-suitability areas of . The moderately suitable areas are concentrated in South China and Central China. Under the SSP5-8.5 scenario, the suitable area predicted in the 2050s will expand significantly to North China and Northwest China, with a total increase of 81,295 km. This work provides an essential reference for future research on and the application of forestry pest control.

摘要

由于其强大的攻击能力和高寄生率,是天牛的天敌。其良好的抗性和繁殖力使其具有重要的生物防治价值。利用Maxent模型和ArcGIS软件,结合已知分布信息和环境变量,模拟了在中国的当前分布,并预测了在三种气候情景(SSP1-2.6、SSP2-4.5和SSP5-8.5)下2050年代(2041-2060年)和2090年代(2081-2100年)的适宜区域。结果表明,日平均温差(bio2)、最冷月最低温度(bio6)、最暖季降水量(bio18)和最暖月最高温度(bio5)是影响分布的关键环境变量。中国西南部和华北部分地区是当前高适宜性区域的主要集中地。中度适宜区域集中在华南和华中地区。在SSP5-8.5情景下,预测2050年代的适宜区域将大幅扩展到华北和西北地区,总面积增加81295平方公里。这项工作为今后对的研究和林业害虫防治的应用提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acf1/10231094/00152bf47c85/insects-14-00475-g001.jpg

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