中国崇明岛主要人畜共患病蜱类 Haemaphysalis flava 的栖息地适宜性鉴定

Si-Wei Fei , Han-Qing Zhao , Jing-Xian Yin , Zhi-Shan Sun , Jing-Bo Xue , Shan Lv , Xin-Yu Feng , Xiao-Kui Guo , Xiao-Nong Zhou , Kokouvi Kassegne
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引用次数: 0

摘要

Haemaphysalis蜱是威胁人类和动物健康的病媒,在中国第三大岛崇明发现了这种蜱虫。为了了解这些蜱虫的分布情况并确定其潜在的入侵风险,本研究旨在根据自然环境因素确定主要蜱虫 H. flava 的栖息地适宜性。地理信息系统(GIS)图像与蜱虫调查的样本点相结合,绘制了H. flava的空间分布图。通过检索崇明岛的 19 个生物气候变量、环境变量和基于卫星的地貌数据,绘制了与 H. flava 的自然环境决定因素相关的土地覆盖图。这些数据包括与矢量相关的38个地点,利用基于最大熵原理的MaxEnt模型构建物种分布模型,并预测2050年和2070年不同气候情景下崇明岛花叶蟾蜍的栖息地适宜性。该模型在预测H. flava分布方面表现良好,训练曲线下面积为0.84,测试曲线下面积为0.73。为 H. flava 绘制了整个研究区域的栖息地适宜性地图。所绘制的地图和自然环境分析结果表明,归一化差异植被指数和最干旱月份的降水量对花叶蟾蜍的生物生态具有重要意义,高度、中度和低度适宜栖息地的面积分别为 141.61 平方公里(11.77%)、282.94 平方公里(23.35%)和 405.30 平方公里(33.69%)。在共同社会经济路径(SSP)1.2.6 气候变化情景下,2050 年和 2070 年的分布面积分别减少了 135.55 平方公里和 138.82 平方公里。然而,根据 SSP 5.8.5,2050 年总面积将减少 128.5 平方公里,2070 年将增加 151.64 平方公里。从 "一体健康 "的角度来看,这项研究提供了很好的知识,将指导蜱虫控制工作,以防止 Haemaphysalis 蜱虫的传播,或在岛上人-动物-环境交界处由 Haemaphysalis 传播的感染风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of habitat suitability for the dominant zoonotic tick species Haemaphysalis flava on Chongming Island, China

Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming, the third largest island in China. To understand the distribution of these ticks and determine their potential invasion risk, this study aimed to identify the habitat suitability of the dominant tick H. flava based on natural environmental factors. Geographic information system (GIS) images were combined with sample points from tick investigations to map the spatial distribution of H. flava. Data on 19 bioclimatic variables, environmental variables, and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of H. flava. These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt, a model based on the maximum entropy principle, and to predict habitat suitability for H. flava on Chongming Island in 2050 and 2070 under different climate scenarios. The model performed well in predicting the H. flava distribution, with a training area under the curve of 0.84 and a test area under the curve of 0.73. A habitat suitability map of the whole study area was created for H. flava. The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of H. flava, with 141.61 km2 (11.77%), 282.94 km2 (23.35%), and 405.30 km2 (33.69%) of highly, moderately, and poorly suitable habitats, respectively. The distribution decreased by 135.55 km2 and 138.82 km2 in 2050 and 2070, respectively, under the shared socioeconomic pathway (SSP) 1.2.6 climate change scenario. However, under SSP 5.8.5, the total area will decrease by 128.5 km2 in 2050 and increase by 151.64 km2 in 2070. From a One Health perspective, this study provides good knowledge that will guide tick control efforts to prevent the spread of Haemaphysalis ticks or transmission risk of Haemaphysalis-borne infections at the human-animal-environment interface on the island.

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