法国Auvergne-Rhône-Alpes地区森林中蜱虫丰度数据集。

IF 1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Biodiversity Data Journal Pub Date : 2025-04-02 eCollection Date: 2025-01-01 DOI:10.3897/BDJ.12.e142266
Isabelle Lebert, Valérie Poux, Magalie René-Martellet, Karine Chalvet-Monfray, Gwenael Vourc'h, Séverine Bord
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引用次数: 0

摘要

背景:在欧洲,蜱是人类和牲畜病原体的主要媒介,其中分布最广的蜱是传播莱姆病病原Borreliaburgdorferi lato的主要媒介。该疾病在法国流行,2023年每年新增人间病例数估计为39052例。蓖麻杆菌在法国广泛分布,特别是在Auvergne-Rhône-Alpes,在那里它的丰度并不总是为人所知。通常,对寻找蜱虫数量的估计是基于对几个地点的单一观察;此外,根据采样条件,布拖取样的效率是可变的,但通常是低的。即使采用标准化规程,丰度指标和抽样率也受到各种因素的影响,包括种群动态、地面植被、土层和气象。可以用来解释这些因素对采样率变化的影响的一种方法是使用去除采样,即几个连续采样。新信息:TELETIQ项目(https://teletiq.clermont.hub.inrae.fr/)对移动电话和参与性科学数据感兴趣,以便估计和了解环境疾病传播的风险,并将其应用于蜱虫传播的疾病。它的目的是探讨如何利用信息和通信技术的数据来改进对与环境有关的疾病传播风险的估计和了解。作为该项目的一部分,在Auvergne-Rhône-Alpes地区(法国)的15个地点进行了实地取样。我们设计了一个创新的方案,结合了三个月的采样(包括蜱虫活动高峰的时间),每个地点的两个样条(以增加统计能力)和去除采样方法(考虑到由于地面植被导致的采样率的变化)。设计了用拖布法采集蜱虫的采样方案。在每个站点,沿着两个样带进行采样,每个样带有10个亚样带(ST)。从2018年4月至6月,每个亚样区每月连续进行三轮采样。在此基础上,我们创建了一个关于蜱虫丰度和当地环境条件信息的数据集。在三个月的采样中,在15个地点捕获了2274只探询蜱。这个总数包括2205个仙女,30个成年女性和39个成年男性。蓖麻蜱占鉴定蜱的100%。2018年4 - 6月共采集2205只若虫,第一轮采集62% (n = 1367),第二轮采集24.5% (n = 540),第三轮采集13.5% (n = 298)。在29.7%的STs (n = 267/900)中,在连续三轮抽样中均未收集到若虫,这有力地证实了缺乏若虫的假设。57.9%的STs (n = 521/900)在第一轮抽样中至少采集到1只若虫。在其余112个第一轮抽样未检出若虫的STs中,连续抽样确实发现了若虫的存在(在900个STs中占12.4%,共收集到168个若虫,占本项目收集到的若虫总数的7.62%)。如果没有去除采样设计,即只有一次采样,这些STs将被认为是无tick-free的。根据采样率和植被类型,该数据集中有关当地蓖麻蜱丰度的信息可用于确定在野外收集数据的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset of the abundance of Ixodes spp. ticks in forests of the Auvergne-Rhône-Alpes Region (France).

Background: In Europe, Ixodes ticks are major vectors for both human and livestock pathogens, with the most widespread species, Ixodesricinus, being responsible for the transmission of the pathogenic agent of Lyme disease, Borreliaburgdorferi sensu lato. The disease is endemic in France, where the number of new human cases per year was estimated at 39,052 in 2023. I.ricinus is widely distributed in France, particularly in Auvergne-Rhône-Alpes, where its abundance is not always well known. Often, estimation of questing tick abundance is based on a single observation from several sites; moreover, depending on sampling conditions, the efficiency of sampling with cloth dragging is variable, but is generally low. Even when standardised protocols are used, abundance indicators and sampling rates are influenced by various factors including population dynamics, ground vegetation, soil layers and meteorology. One approach that can be employed to account for the impact of these factors on variations in sampling rate is the use of removal samplings, i.e. several successive samplings.

New information: The TELETIQ project (https://teletiq.clermont.hub.inrae.fr/) was interested in mobile phone and participatory science data for the estimation and understanding of the risk of transmission of environmental diseases with an application to diseases transmitted by ticks. It aimed to explore how data from information and communication technologies can be used to improve the estimation and understanding of the risk of transmission of diseases related to the environment. As part of this project, questing ticks were sampled in the field in 15 sites located in the Auvergne-Rhône-Alpes Region (France). We designed an innovative protocol that combined three months of sampling (to include the time of peak tick activity), two transects for each site (to increase statistical power) and the removal sampling method (to take account of the variation in the sampling rate due to ground vegetation). A sampling protocol was designed to collect ticks using the cloth-dragging method. In each site, sampling was conducted along two transects, with ten sub-transects (ST) per transect. Each sub-transect was subjected to three successive rounds of sampling per month, from April to June, 2018. Based on this, we created a dataset of questing tick abundance and information on local environmental conditions. Over the three months of sampling, 2,274 questing ticks were captured across the 15 sites. This total included 2,205 questing nymphs, 30 questing adult females and 39 questing adult males. I.ricinus represented 100% of the identified ticks. Of the 2,205 nymphs sampled over the three months from April to June 2018, 62% were sampled (n = 1,367) in the first round of sampling, 24.5% (n = 540) in the second and 13.5% (n = 298) in the third. In 29.7% of STs (n = 267/900), no nymphs were collected in any of the three successive rounds of sampling confirming a strong presumption of absence. In 57.9% of STs (n = 521/900), at least one nymph was collected in the first round of sampling. In 112 of the remaining STs - in which no nymphs were detected in the first round of sampling - successive sampling did reveal the presence of nymphs (12.4% of the 900 total STs, 168 nymphs collected overall, representing 7.62% of the total number of nymphs collected in this project). Without a removal sampling design, that is, with only a single sampling occasion, these STs would have been considered tick-free. The information in this dataset on the local abundance of questing I.ricinus ticks can be used to determine the best way to collect data in the field, based on the sampling rate and vegetation type.

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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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