A Dataset of Non-Indigenous and Native Fish of the Volga and Kama Rivers (European Russia)

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Data Pub Date : 2023-10-18 DOI:10.3390/data8100154
Dmitry P. Karabanov, Dmitry D. Pavlov, Yury Y. Dgebuadze, Mikhail I. Bazarov, Elena A. Borovikova, Yuriy V. Gerasimov, Yulia V. Kodukhova, Pavel B. Mikheev, Eduard V. Nikitin, Tatyana L. Opaleva, Yuri A. Severov, Rimma Z. Sabitova, Alexey K. Smirnov, Yury I. Solomatin, Igor A. Stolbunov, Alexander I. Tsvetkov, Stanislav A. Vlasenko, Irina S. Voroshilova, Wenjun Zhong, Xiaowei Zhang, Alexey A. Kotov
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引用次数: 0

Abstract

Fish in the Volga-Kama River System (the largest river system in Europe) are important as a crucial food source for local populations; fish have the highest trophic level among hydrobionts. The purpose of this research is to describe the diversity of non-indigenous and native fish in the Volga and Kama Rivers, in the European part of Russia. This dataset encompasses data from June 2001 to September 2021 and comprises 1888 records (36,376 individual observations) for littoral and pelagic habitats from 143 sampling sites, representing 52 species from 42 genera in 22 families. The dataset has a Darwin Core standard format and has been fully released in the Global Biodiversity Information Facility (GBIF) under CC-BY 4.0 International license. The data are validated with several international databases such as FishBase, Eschmeyer’s Catalog of Fishes, the Barcode of Life Data System, and the SAS.Planet geoinformations system. Newly established populations have been found for several species belonging to the following Actinopteri families: Alosidae, Anguillidae, Cichlidae, Ehiravidae, Gobiidae, Odontobutidae, Syngnathidae, and Xenocyprididae. Therefore, this dataset can be used in the particular taxon species distribution analysis, which are especially important for non-indigenous species.
伏尔加河和卡马河(俄罗斯欧洲部分)非本地和本地鱼类数据集
伏尔加-卡马河水系(欧洲最大的水系)中的鱼类是当地人口的重要食物来源;鱼类是水生生物中营养水平最高的。本研究的目的是描述俄罗斯欧洲部分伏尔加河和卡马河非本地和本地鱼类的多样性。该数据集涵盖2001年6月至2021年9月的数据,包括来自143个采样点的1888条记录(36,376个单独观察),涉及22科42属52个物种。该数据集具有达尔文核心标准格式,并已在全球生物多样性信息设施(GBIF)中根据CC-BY 4.0国际许可完全发布。数据通过FishBase、Eschmeyer’s Catalog of Fishes、Barcode of Life data System和SAS等多个国际数据库进行验证。行星地理信息系统。新发现放线蝇科放线蝇科、鳗鲡科、鳗鲡科、鳗鲡科、鳗鲡科、鳗鲡科、梭鲈科、梭鲈科和异鲤科放线蝇科若干种。因此,该数据集可用于特定分类单元的物种分布分析,这对非本地物种尤其重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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