MaxEnt model for predicting potential distribution of ticks in the western Kanto region of Japan
MaxEnt model for predicting potential distribution of ticks in the western Kanto region of Japan
复制标题
用于预测日本西部关东地区蜱虫潜在分布的 MaxEnt 模型
DOI：
10.11646/zoosymposia.22.1.182
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
HAYAMA SHIN-ICHI
中科院分区：
文献类型：
--
作者：
DOI KANDAI;TABATA IORI;KATO TAKUYA;HAYAMA SHIN-ICHI
土地利用模式、气候因素和野生动物分布被认为对媒介蜱的分布有影响。在东京大都会和周边地区，这些因素在过去几十年里发生了迅速的变化。在此，我们基于在日本关东西部134个地点进行的7年蜱调查数据，估计了蜱的潜在分布。采用最大熵（MaxEnt）模型，基于年降水量、积雪深度和积雪厚度，对6种蜱类进行了分析，分别为：绒蜱、黄血蜱、北桃蜱、长角蜱、巨棘蜱和卵硬蜱。遥感土地利用格局（森林连系、农业用地、城市用地、开阔水域、落叶阔叶林、落叶针叶林、常绿阔叶林、常绿针叶林、竹林、草地、裸地）及五种常见野生动物[梅花鹿]的分布；野猪（Sus scrofa）；浣熊（原浣熊）；貉（Nyctereutes procyonoides）；果子狸[棕果子狸]。
Land-use patterns, climatic factors, and wildlife distributions have been suggested to have a role in shaping vector tick distributions. In the Tokyo metropolis and surrounding prefectures, these factors have rapidly changed over the last few decades. Here, we estimated the potential distributions of ticks based on the data of a 7-year tick survey at 134 sites in western Kanto, Japan. We focused on 6 tick species (Amblyomma testudinarium; Haemaphysalis flava; H. kitaokai; H. longicornis; H. megaspinosa; and Ixodes ovatus) using Maximum Entropy (MaxEnt) modeling based on the annual precipitation, snow depth; remote-sensing land-use patterns (Forest connectivity; Agricultural land; Urban; Open water; Deciduous broad-leaf forest; Deciduous needle-leaf forest; Evergreen broad-leaf forest; Evergreen needle-leaf forest; Bamboo forest; Grassland; Bareland), and the distributions of five common wildlife species [sika deer (Cervus nippon); wild boar (Sus scrofa); raccoon (Procyon lotor); raccoon dog (Nyctereutes procyonoides); masked palm civet (Paguma larvata)].
影响因子：
3
作者：
Doi K;Kato T;Tabata I;Hayama SI
通讯作者：
Hayama SI