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导致向公民科学项目“蚊子地图集”提交的蚊子在时空上发生变化的因素。

Drivers of spatio-temporal variation in mosquito submissions to the citizen science project 'Mückenatlas'.

机构信息

Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, 15374, Müncheberg, Germany.

Department of Biology, Chemistry, Pharmacy, Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195, Berlin, Germany.

出版信息

Sci Rep. 2021 Jan 14;11(1):1356. doi: 10.1038/s41598-020-80365-3.

Abstract

Intensified travel activities of humans and the ever growing global trade create opportunities of arthropod-borne disease agents and their vectors, such as mosquitoes, to establish in new regions. To update the knowledge of mosquito occurrence and distribution, a national mosquito monitoring programme was initiated in Germany in 2011, which has been complemented by a citizen science project, the 'Mückenatlas' since 2012. We analysed the 'Mückenatlas' dataset to (1) investigate causes of variation in submission numbers from the start of the project until 2017 and to (2) reveal biases induced by opportunistic data collection. Our results show that the temporal variation of submissions over the years is driven by fluctuating topicality of mosquito-borne diseases in the media and large-scale climate conditions. Hurdle models suggest a positive association of submission numbers with human population, catch location in the former political East Germany and the presence of water bodies, whereas precipitation and wind speed are negative predictors. We conclude that most anthropogenic and environmental effects on submission patterns are associated with the participants' (recording) behaviour. Understanding how the citizen scientists' behaviour shape opportunistic datasets help to take full advantage of the available information.

摘要

人类日益频繁的旅行活动和不断增长的全球贸易为节肢动物传播的疾病媒介及其病原体(如蚊子)在新地区的定殖创造了机会。为了更新蚊子发生和分布的知识,德国于 2011 年启动了国家蚊子监测计划,并自 2012 年以来通过公民科学项目“蚊子地图集”对此进行了补充。我们分析了“蚊子地图集”数据集,(1)调查项目开始到 2017 年提交数量变化的原因,(2)揭示机会性数据收集带来的偏差。研究结果表明,多年来提交数量的时间变化是由媒体中蚊子传播疾病的话题性波动和大规模气候条件驱动的。门槛模型表明,提交数量与人口、前东德地区的采集地点以及水体的存在呈正相关,而降水和风速则呈负相关。我们的结论是,提交模式的大多数人为和环境影响都与参与者(记录)的行为有关。了解公民科学家的行为如何塑造机会性数据集有助于充分利用现有信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23fb/7809264/d04216a00bf7/41598_2020_80365_Fig1_HTML.jpg

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