Influence of climatic factors on the potential distribution of pest Heortia vitessoides Moore in China

文献类型： 外文期刊

第一作者： Xu, Danping

作者： Xu, Danping;Li, Xinyang;Jin, Yawen;Zhuo, Zhihang;Yang, Hongjun;Hu, Jiameng;Xu, Danping;Xu, Danping;Zhuo, Zhihang;Wang, Rulin

作者机构：

关键词： Heortia vitessoides Moore; Potential distribution area; Climatic factors; MaxEnt modeling

期刊名称：GLOBAL ECOLOGY AND CONSERVATION （ 影响因子：3.38； 五年影响因子：4.167 ）

ISSN： 2351-9894

年卷期： 2020 年 23 卷

页码：

收录情况： SCI

摘要： Heortia vitessoides Moore is one of the predominant pests of Aquilaria sinensis (Lour.) Spreng, which is extremely harmful to this plant, and is also an important quarantine pest around the world. To understand the influence of climate factors on the distribution of this pest, maximum entropy modeling (MaxEnt) was used to predict the potential suitable distribution area under certain climatic conditions. The results showed that H. vitessoides was mainly located in the tropical and southern subtropical climate areas of China under current climatic conditions, with a total suitable distribution area of 107.48 x 10(4) km(2). The highly suitable areas were concentrated in the Pearl River Basin and the south of Lancang River Basin with area of 46.19 x 10(4) km(2). In the future, the suitable area showed a ten-dency to expand to the north. The total suitable distribution area of this species would reach 136.21 x 10(4)-151.62 x 10(4) km(2), which was 26.62%-40.65% higher than that of the current. The climatic factors of precipitation of warmest quarter, precipitation of wettest quarter, min temperature of coldest month, and mean temperature of warmest quarter were the dominant variables affecting the distribution of H. vitessoides. It can be seen that the suitable area of this pest is relatively large and tends to expand, which poses a threat to the growth of A. sinensis. It is suggested that the relevant afforestation and phytosanitary departments should attach great importance and take necessary measures to control the spread of this pest. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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