Analysis of the Patterns of Organization of Species Complexes of Ponto-Caspian and Ponto-Azovian Macrozoobenthos in the Middle and Lower Volga Reservoirs

Kurina, E. M.; Seleznev, D. G.

doi:10.1134/s1067413619010053

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…Comparing our results obtained for lakes with the data on the structure of coenotic complexes of alien species in the Middle and Lower Volga River (Kurina and Seleznev, 2019), carried out using a similar method, a smaller number of mutually associated species should be noted (43.7% of the total number (45 species) versus 72% (28 species) in the Volga River basin). Meantime, a larger number of groups (eight versus two) are observed in the lakes with a smaller number of links of certain species within the group.…”

Section: Discussionsupporting

confidence: 66%

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Influence of environmental factors on the interannual variability of macrozoobenthos of the floodplain lakes

Alexander¹,

Dmitry²,

Tsvetkov³

2021

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The changes in depth, temperature, water conductivity, and dissolved oxygen concentration in six floodplain lakes are described in regard to the dynamics of spring flooding and overgrowth by macrophytes. The influence of these factors on the composition and structure of macrozoobenthos communities is analyzed. The observed number of species refers to 60% of the theoretically predicted, which allows us to assume that the fauna has been identified sufficiently enough to analyze the interannual changes. Six families of invertebrates, which form together 55% of the fauna, are the richest in species number. The distribution of species by families also confirms enough data on the fauna representing in the obtained and analyzed samples. Abundance of only two species depend significantly on environmental characteristics; the taxonomic and trophic groups exhibit more links to the environment. Totally, 45 mutually associated species (43.7% of the total list) have been identified; they form 8 groups that are characterized by connectivity of the species composition ranging as 0.28–1.0 link/species, the average connectivity strength of 0.67–0.80, and the strength of species connectivity of 0.38–0.84 (the last index is proposed for the first time). Groups of mutually associated species may be defined as “faunistic cores of communities” confined to certain lakes and/or years of study. According to the redundancy analysis with multidimensional scaling ordination, the environmental factors affect the quantitative characteristics and overall taxonomic richness of communities. The indices, describing the structure of communities, do not depend on the analyzed factors, which is also confirmed by correlation analysis.

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Section: Discussionsupporting

confidence: 66%

“…Sars, 1894) in the Volga River basin. This is explained by rigidly structured (well-connected) consortium communities of the M (Möbius) type, forming by edificator species (mollusks of the genus Dreissena), studied by E.M. Kurina and D.G. Seleznev (Kurina and Seleznev, 2019).…”

Section: Discussionmentioning

confidence: 99%

Influence of environmental factors on the interannual variability of macrozoobenthos of the floodplain lakes

Alexander¹,

Dmitry²,

Tsvetkov³

2021

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“…Previously, these data were analysed using the C-score index, 1000 FE permutations and a double-sided 98% confidence interval (Kurina & Seleznev, 2019). The results of the comparison of the models are presented in Table 1.…”

Section: Practical Applicationmentioning

confidence: 99%

“…In practice, the study of species associations using matrix indices and a simulated null model can encounter certain difficulties. An analysis of 255 samples of alien macrozoobenthic species from Volga River reservoirs with the C-score index and a permutational fixedequiprobable (FE) null model (Kurina & Seleznev, 2019) revealed 82 positively associated and 5 negatively associated pairs of species. However, 27 positively associated pairs had a normalised C-score index greater than 0.4, reaching a value of 0.55 for the pair of species Katamysis warpachowskyi (Sars, 1893) (n1=16) and Pterocuma rostrata (Sars, 1894) (n2=25), which cooccurred in 5 samples.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the identification and analysis of species associations in biological communities using statistical distributions

Seleznev,

Prokin,

Kurina

2024

Preprint

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A methodology for identifying pairs of mutually associated and mutually incompatible species pairs based on qualitative ecological data in the ‘species-samples’ format is described. Statistical criteria for assessing the direction and strength of species associations using discrete hypergeometric and binomial distributions are provided. Additionally, there are proposed methods for visualising selected associations using undirected graphs, combining associated species into groups, and analysing them. An open access web application implementing the described methodology is also presented. The methodology is illustrated with data on 37 alien macrozoobenthic species from 255 samples collected in the Volga River reservoirs.

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“…The northward expansion of L. naticoides in the cascade of the Volga reservoirs began against the background of a significant increase in mean annual temperatures in the 1990s. As a result, the mollusk massively established in the sandy biotopes of the shallow-water zone of the reservoirs (Yakovlev et al, 2010;Perova et al, 2018;Kurina, Seleznev, 2019;Kurina et al, 2021) including the cascade of reservoirs on the largest Volga tributary, the Kama River. In this…”

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confidence: 99%

Communities of trematodes in Ponto-Azov gravel snail Lithoglyphus naticoides (C. Pfeiffer, 1828) Gastropoda: Hydrobiidae) and their potential impact on the development of marginal host populations in the Volga River basin

Tyutin,

Medyantseva,

Tyutin

et al. 2023

Invertzool

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region it even dominated by biomass in the Volga-Kamsky and Kamsky reaches of the Kuibyshev Reservoir. In the shallow Nizhnekamsk Reservoir, the species also occurs en masse, but its wide northward spread is probably limited by a number of factors: a smaller area of warmed-up areas of the coastal zone, low water mineralization and oxygen deficiency at the end of winter (Sharapova, 2007;Yakovlev et al., 2010). The influence of another possible limiting factor, the water pollution, has not been assessed yet. However, a suggestion has been made that in some regions of the Central Europe the species either disappeared or is at the brink of extinction due to water pollution (Animal Base, 2013: http://www.animalbase.uni-

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Analysis of the Patterns of Organization of Species Complexes of Ponto-Caspian and Ponto-Azovian Macrozoobenthos in the Middle and Lower Volga Reservoirs

Cited by 11 publications

References 8 publications

Influence of environmental factors on the interannual variability of macrozoobenthos of the floodplain lakes

Influence of environmental factors on the interannual variability of macrozoobenthos of the floodplain lakes

Methodology for the identification and analysis of species associations in biological communities using statistical distributions

Communities of trematodes in Ponto-Azov gravel snail Lithoglyphus naticoides (C. Pfeiffer, 1828) Gastropoda: Hydrobiidae) and their potential impact on the development of marginal host populations in the Volga River basin

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