Distribution of stone moroko (Pseudorasbora parva) in the Upper Don basin

Ivancheva, E. Yu.; Иванчев, В. П.; Sarychev, V. S.

doi:10.1134/s2075111714030059

Cited by 3 publications

(1 citation statement)

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“…In many administrative regions of Russia, due to various reasons associated with the negative state of the country's economy with the ensuing consequences, an inventory of the ichthyofauna has not been carried out since the 1990s. Our studies have shown that the distribution and abundance of many species differs significantly from the data of the last century ( Ruchin et al 2007 , Ruchin et al 2008 , Ruchin et al 2009 , Artaev and Ruchin 2016 , Ivanchev et al 2013b , Sarycheva et al 2014 , Ivancheva et al 2014 ).…”

Section: Introductioncontrasting

confidence: 49%

Fish occurrence in the middle Volga and upper Don regions (Russia)

Artaev¹,

Ruchin²,

Иванчев³

et al. 2020

BDJ

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In ichthyological publications from both Russia as a whole, and from the study region, lack of data indicating the actual results of observations in a specific place all result in publication of a generalised analysis. Although our publications contain such data, they are, however, not convenient for users performing global analysis. The main purpose of publishing a database is to make our data available in the global biodiversity system to a wide range of users. Dataset represents a significant addition to the distribution of species in this area. The data can be used to analyse future changes in ichthyofauna, as well as to help the authorities to manage their territory more efficiently. This publication describes a dataset that contains information on fish encounters in the Upper Don basin and the middle Volga (centre of the European part of Russia) over a 30-year period (1990-2020). The dataset contains information on 6400 occurrences of 394341 specimens of 56 species, 99.9% of specimens being identified to the species level. A total of 883 sites were studied, of which 253 were in lentic biotopes (lakes - 121, ponds - 123, backwater - 5, reservoir - 3, pit - 1), 630 were in lotic (rivers - 628, stream - 1, channel - 1). One collecting site has an average of 7.2 species (from 1-21 species per location). Only those species that form self-reproducing populations are given. The dataset is a compilation of data from several working author groups. All observations have precise geo-referencing with the names of water bodies (rivers, lakes etc.). All presented data are published in the form of a database for the first time. Some data form the basis of previously-published works (3998 observations, 62%) and some are published for the first time (2402 observations, 38%). A large amount of data comes from small water bodies that have been neglected by previous researchers.

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