Mapping the Potential Distribution of Ticks in the Western Kanto Region, Japan: Predictions Based on Land-Use, Climate, and Wildlife.

Mapping the Potential Distribution of Ticks in the Western Kanto Region, Japan: Predictions Based on Land-Use, Climate, and Wildlife.
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DOI:
10.3390/insects12121095
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发表时间:
2021-12-07
期刊:
影响因子:
3
通讯作者:
Hayama SI
Hayama SI
中科院分区:
农林科学2区
文献类型:
--
作者:
Doi K;Kato T;Tabata I;Hayama SI

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最近,蜱传疾病(TBD)的风险越来越受到公共卫生角度的关注。有关蜱虫分布地点的信息对于预防 TBD 非常重要。在本研究中,我们使用 MaxEnt 模型根据土地利用、气候和野生动物分布,预测了在日本中部关东地区收集的 16 种蜱虫中的 6 种主要蜱虫的潜在分布,并调查了每种蜱虫分布的影响因素。浣熊的分布促进了五种蜱虫的分布,而森林的连通性对所有物种的分布都有很大的贡献。背景:过去几十年来,随着人类活动、土地利用模式、气候和野生动物分布的变化,蜱的分布发生了迅速变化。方法:为了估计蜱虫的潜在分布,我们在日本关东西部的 134 个地点进行了蜱虫调查。我们估计了六种蜱虫的潜在分布(Amblyomma testudinarium Koch, 1844; Haemaphysalis flava Neumann, 1897; Haemaphysalis kitaokai Hoogstraal, 1969; Haemaphysalis longicornis Neumann, 1901; Haemaphysalis megaspinosa Saito, 1969; 和 Ixodes ovatus Neumann, 1899) 使用基于气候模式、土地利用模式和五种常见野生动物物种分布的 MaxEnt 建模:梅花鹿 (Cervus nippon Temminck, 1838)、野猪 (Sus scrofa Linnaeus, 1758)、浣熊 (Procyon lotor Linnaeus, 1758)、日本貉 (Nyctereutes) proyonoides Gray, 1834) 和果子狸 (Paguma larvata C.E.H. Smith, 1827))。结果:我们收集了 4 个属、16 个蜱种的 24,546 只个体。我们的模型表明,森林连通性促成了六种蜱虫的分布,而浣熊的分布则促成了五种蜱虫的分布。除此之外,梅花鹿的分布对H. kitaokai有贡献,而野猪的分布、竹林和温暖的冬季气候对A. testudinarium有具体的贡献。结论:根据这些结果,一些蜱种向居民区扩散和分布范围扩大可以用浣熊的分布和森林的连通性来解释。
Recently, the risk of tick-borne diseases (TBD) has drawn increasing attention from a public health perspective. Information about where ticks are distributed is important for the prevention of TBDs. In this study, we used the MaxEnt model to predict the potential distribution of six major tick species out of 16 tick species collected in the Kanto region, the central part of Japan, based on land-use, climate, and wildlife distribution, and to investigate the factors that contribute to each distribution of ticks. The distribution of raccoons contributed to the distribution of five tick species, and forest connectivity was a strong contributor to the distribution of all species. Background: Tick distributions have changed rapidly with changes in human activity, land-use patterns, climate, and wildlife distributions over the last few decades. Methods: To estimate potential distributions of ticks, we conducted a tick survey at 134 locations in western Kanto, Japan. We estimated the potential distributions of six tick species (Amblyomma testudinarium Koch, 1844; Haemaphysalis flava Neumann, 1897; Haemaphysalis kitaokai Hoogstraal, 1969; Haemaphysalis longicornis Neumann, 1901; Haemaphysalis megaspinosa Saito, 1969; and Ixodes ovatus Neumann, 1899) using MaxEnt modeling based on climate patterns, land-use patterns, and the distributions of five common wildlife species: sika deer (Cervus nippon Temminck, 1838), wild boar (Sus scrofa Linnaeus, 1758), raccoon (Procyon lotor Linnaeus, 1758), Japanese raccoon dog (Nyctereutes procyonoides Gray, 1834), and masked palm civet (Paguma larvata C.E.H. Smith, 1827)). Results: We collected 24,546 individuals of four genera and 16 tick species. Our models indicated that forest connectivity contributed to the distributions of six tick species and that raccoon distribution contributed to five tick species. Other than that, sika deer distribution contributed to H. kitaokai, and wild boar distribution, bamboo forest, and warm winter climate contributed specifically to A. testudinarium. Conclusions: Based on these results, the dispersal of some tick species toward residential areas and expanded distributions can be explained by the distribution of raccoons and by forest connectivity.
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