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新冠疫情对eBird项目所收集数据的数量和质量产生的影响存在地区差异。

Regional variation in the impacts of the COVID-19 pandemic on the quantity and quality of data collected by the project eBird.

作者信息

Hochachka Wesley M, Alonso Hany, Gutiérrez-Expósito Carlos, Miller Eliot, Johnston Alison

机构信息

Lab of Ornithology, Cornell University, USA.

Portuguese Society for the Study of Birds (SPEA), Portugal.

出版信息

Biol Conserv. 2021 Feb;254:108974. doi: 10.1016/j.biocon.2021.108974. Epub 2021 Jan 20.

Abstract

The COVID-19 pandemic has likely affected natural systems around the world; the curtailment of human activity has also affected the collection of data needed to identify the indirect effects of this pandemic on natural systems. We describe how the outbreak of COVID-19 disease, and associated stay-at-home orders in four political regions, have affected the quantity and quality of data collected by participants in one volunteer-based bird monitoring project, eBird. The four regions were selected both for their early and prolonged periods of mandated changes to human activity, and because of the high densities of observations collected. We compared the months of April 2020 with April in previous years. The most notable change was in the landscapes in which observations were made: in all but one region human-dominated landscapes were proportionally more common in the data in April 2020, and observations made near the rarer wetland habitat were less prevalent. We also found subtler changes in quantity of data collected, as well as in observer effort within observation periods. Finally, we found that these effects of COVID-19 disease varied across the political units, and thus we conclude that any analyses of eBird data will require region-specific examination of whether there have been any changes to the data collection process during the COVID-19 pandemic that would need to be taken into account.

摘要

新冠疫情可能已经影响了全球的自然系统;人类活动的减少也影响了用以确定这场疫情对自然系统间接影响所需数据的收集。我们描述了新冠疾病的爆发以及四个政治区域内相关的居家令,是如何影响一个基于志愿者的鸟类监测项目eBird参与者所收集数据的数量和质量的。选择这四个区域,既是因为它们对人类活动的强制改变开始得早且持续时间长,也是因为所收集的观测数据密度高。我们将2020年4月与前几年的4月进行了比较。最显著的变化在于进行观测的景观:除一个区域外,在2020年4月的数据中,人类主导的景观在比例上更为常见,而在较为罕见的湿地栖息地附近进行的观测则不那么普遍。我们还发现了所收集数据数量以及观测期内观测者努力程度方面更细微的变化。最后,我们发现新冠疾病的这些影响在各政治单位间有所不同,因此我们得出结论,对eBird数据的任何分析都需要针对特定区域,考察在新冠疫情期间数据收集过程是否有任何变化需要考虑在内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8194/8486489/462db8239ec9/gr1_lrg.jpg

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