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淡水昆虫CONUS:美国本土淡水昆虫出现情况及特征数据库。

Freshwater insects CONUS: A database of freshwater insect occurrences and traits for the contiguous United States.

作者信息

Twardochleb Laura, Hiltner Ethan, Pyne Matthew, Zarnetske Phoebe

机构信息

Department of Fisheries and Wildlife Michigan State University East Lansing MI USA.

Ecology, Evolutionary Biology and Behavior Program Michigan State University East Lansing MI USA.

出版信息

Glob Ecol Biogeogr. 2021 Apr;30(4):826-841. doi: 10.1111/geb.13257. Epub 2021 Jan 24.

Abstract

MOTIVATION

Freshwater insects comprise 60% of freshwater animal diversity; they are widely used to assess water quality, and they provide prey for numerous freshwater and terrestrial taxa. Our knowledge of the distribution of freshwater insect diversity in the USA is incomplete because we lack comprehensive, standardized data on their distributions and functional traits at the scale of the contiguous United States (CONUS). We fill this knowledge gap by presenting . This database includes 2.05 million occurrence records for 932 genera in the major freshwater insect orders, at 51,044 stream locations sampled between 2001 and 2018 by federal and state biological monitoring programmes. Compared with existing open-access databases, we tripled the number of occurrence records and locations and added records for 118 genera. We also present life-history, dispersal, morphological and ecological traits and trait affinities (analogous to fuzzy-coded traits) for 1,007 stream insect genera, assembled from existing databases, reference books and the primary literature. We nearly doubled the number of traits for 11 trait groups and added traits for 180 genera that were not available from open-access databases. Our database, , facilitates the mapping of freshwater insect taxonomic and functional diversity and, when paired with environmental data, will provide a powerful resource for quantifying how the environment shapes stream insect diversity and taxon-specific distributions.

MAIN TYPES OF VARIABLES CONTAINED

Georeferenced occurrence records and traits for stream insects.

SPATIAL LOCATION AND GRAIN

Contiguous United States at a grain of . 1 m.

TIME PERIOD AND GRAIN

Occurrence records from January 2001 to December 2018, with 1-day temporal resolution. Traits from January 1911 to December 2018.

MAJOR TAXA AND LEVEL OF MEASUREMENT

Genera from the orders Coleoptera, Diptera, Ephemeroptera, Hemiptera, Lepidoptera, Megaloptera, Neuroptera, Odonata, Plecoptera and Trichoptera.

SOFTWARE FORMAT

.csv.

摘要

动机

淡水昆虫占淡水动物多样性的60%;它们被广泛用于评估水质,并为众多淡水和陆地生物类群提供猎物。我们对美国淡水昆虫多样性分布的了解并不完整,因为我们缺乏关于其在毗连美国(CONUS)尺度上的分布和功能特征的全面、标准化数据。我们通过展示……来填补这一知识空白。该数据库包含主要淡水昆虫目932个属的205万个出现记录,这些记录来自2001年至2018年期间由联邦和州生物监测计划在51044个溪流地点采集的样本。与现有的开放获取数据库相比,我们将出现记录和地点的数量增加了两倍,并新增了118个属的记录。我们还展示了1007个溪流昆虫属的生活史、扩散、形态和生态特征以及特征亲和力(类似于模糊编码特征),这些信息是从现有数据库、参考书籍和原始文献中收集而来的。我们将11个特征组的特征数量几乎增加了一倍,并新增了180个属的特征,这些特征在开放获取数据库中是没有的。我们的数据库……有助于绘制淡水昆虫分类和功能多样性图,并且与环境数据相结合时,将为量化环境如何塑造溪流昆虫多样性和特定分类群分布提供强大的资源。

包含的主要变量类型

溪流昆虫的地理参考出现记录和特征。

空间位置和粒度

毗连美国,粒度为0.1米。

时间周期和粒度

出现记录从2001年1月至2018年12月,时间分辨率为1天。特征时间范围从1911年1月至2018年12月。

主要分类群和测量水平

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软件格式

.csv

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff37/7986927/6ae1909b66d2/GEB-30-826-g004.jpg

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