中欧河栖大型无脊椎动物的发生数据。

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 Epub Date: 2025-01-06 DOI:10.1016/j.dib.2025.111272
Dorottya Hárságyi , Balázs J. Berta , Bernadett Boóz , Zsuzsanna Pap , Bálint Pernecker , Anita Szloboda , Marko Miliša , Petr Pařil , Zoltán Csabai , Arnold Móra
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引用次数: 0

摘要

淡水生态系统代表了栖息地和物种的无与伦比的多样性,但许多物种的实际分布仍然模糊不清或不完整。调查的目的是增进对不太为人所知地区的动物群的了解,并填补物种分布图上的空白。该数据集基于一项为期一年的研究,调查了60个地点,这些地点来自中欧不同的生态区域:波罗的海(克罗地亚,15个地点),大陆(捷克,20个地点)和潘诺尼亚(匈牙利,25个地点)。采用多生境采样法采集栖息在溪流中的大型无脊椎动物。个体被鉴定到尽可能低的分类水平,通常是物种水平。该数据集包括腹足目、水蛭目和不同昆虫类群(鞘翅目、半翅目、大翅目、大翅目、毛翅目)164个分类群的1827条地理参考记录,以及采样点的地理信息和物种分类的详细信息。这些数据可以为未来生态学、生物地理学和自然保护的研究提供支持。
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Occurrence data for stream-dwelling macroinvertebrates from Central Europe
Freshwater ecosystems represent an unparalleled diversity of habitats and species, but the actual distribution of many species remains obscured or incomplete. The aim of the survey was to contribute to the knowledge on the fauna of lesser-known areas and fill the gaps in the distribution maps of the species. The dataset is based on a one-year-long study surveying 60 locations from different drying river networks that represent different ecoregions in Central Europe: Balcanic (Croatia, 15 sites), Continental (Czechia, 20 sites) and Pannonian (Hungary, 25 sites). Multihabitat sampling approach was applied for collecting stream-dwelling macroinvertebrates. Individuals were identified to the lowest possible taxonomic level, typically to species level. The dataset includes 1827 geo-referenced occurrence records based on presence-absence data of 164 taxa across Gastropoda, Hirudinea and various groups of Insecta (Coleoptera, Hemiptera, Megaloptera, Odonata, Trichoptera) along with geographical information on the sampling sites, and details of the taxonomy of the species. The data can support future studies in ecology, biogeography and nature conservation.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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