Majoros Samantha E, Elliott Tyler A, Adamowicz Sarah J
University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
Biodiversity Institute of Ontario, Guelph, Guelph, Canada Biodiversity Institute of Ontario, Guelph Guelph Canada.
Biodivers Data J. 2025 Mar 25;13:e129610. doi: 10.3897/BDJ.12.e129610. eCollection 2025.
Flies (Diptera) are an ecologically important group that play a role in agriculture, public health and ecosystem functioning. As researchers continue to investigate this order, it is beneficial to link the growing occurrence data to biological traits. However, large-scale ecological trait data are not readily available for fly species. While some databases and datasets include fly data, many ecologically relevant traits for taxa of interest are not included. In this study, we create a dataset containing ecological traits (habitat and diet) for fly species of Canada and Greenland having occurrence records on the Barcode of Life Data Systems (BOLD). We present a dataset containing trait information from the literature for 981 Diptera species.
Diptera species were chosen for the dataset, based on the occurrence records available for Diptera species from Canada and Greenland on the Barcode of Life Data System (BOLD). Trait data were then compiled and digitised in a standardised format, based on 667 works from literature published before April 2024. Traits were assigned at the lowest taxonomic level available. Three biological traits were included: larval habitat, larval diet type and adult diet. The dataset contains traits for 981 species across 380 genera, 34 subfamilies and 61 families. This dataset allows for assignment of traits to occurrence data for Diptera species and can be used for further research into the ecology, evolution and conservation of this order.
蝇类（双翅目）是一个具有重要生态意义的类群，在农业、公共卫生和生态系统功能中发挥着作用。随着研究人员不断对这一目进行调查，将不断增加的分布数据与生物学特征联系起来是有益的。然而，蝇类物种的大规模生态特征数据并不容易获得。虽然一些数据库和数据集包含蝇类数据，但许多与感兴趣分类单元相关的生态特征并未包含在内。在本研究中，我们创建了一个数据集，其中包含在生命条形码数据系统（BOLD）上有分布记录的加拿大和格陵兰蝇类物种的生态特征（栖息地和食性）。我们展示了一个包含来自文献的981种双翅目物种特征信息的数据集。
该数据集选择双翅目物种是基于生命条形码数据系统（BOLD）上加拿大和格陵兰双翅目物种的现有分布记录。然后，根据2024年4月之前发表的667篇文献，以标准化格式汇编和数字化特征数据。特征在可用的最低分类水平上进行分配。包括三个生物学特征：幼虫栖息地、幼虫食性类型和成虫食性。该数据集包含了380个属、34个亚科和61个科的981个物种的特征。这个数据集允许将特征分配给双翅目物种的分布数据，并可用于对该目的生态学、进化和保护的进一步研究。
