2020
DOI: 10.1002/iroh.201902018
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Beta diversity patterns in zooplankton assemblages from a semiarid river ecosystem

Abstract: The study of beta diversity patterns, as well as their underlying mechanisms, is fundamental for the understanding of community structure in aquatic ecosystems. Here, we aimed to investigate patterns of beta diversity in cladoceran, copepod, and rotifer assemblages in the Parnaíba and Poti rivers, along the urban perimeter of the city of Teresina (Piaui, Brazil) and to evaluate the effect of environmental, spatial, and temporal factors on beta diversity in the zooplankton assemblages. We used the Simplex analy… Show more

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Cited by 12 publications
(8 citation statements)
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“…Approximately half of the interdisciplinary studies included temporal dynamics ( n = 6), and these studies focused on perennial streams (Da Silva, Lansac‐Tôha, Lansac‐Tôha, Sales, & de Sousa Rocha, 2021; Lansac‐Tôha et al, 2019; Tonkin et al, 2018), river floodplains (Padial et al, 2014), intermittent ponds (Galvez et al, 2020), and intermittent streams (Datry et al, 2016). Even within the narrow set of interdisciplinary studies, a variety of analytical methods was used, including variation partitioning (Da Silva et al, 2021; Galvez et al, 2020; Padial et al, 2014), elements of metacommunity structure (Tonkin et al, 2018), and beta diversity components (Lansac‐Tôha et al, 2019). Logue et al (2011) previously reviewed empirical approaches to metacommunities and focused on variation partitioning and elements of metacommunity structure.…”
Section: Review Of Temporal Dynamics In Aquatic Metacommunitiesmentioning
confidence: 99%
“…Approximately half of the interdisciplinary studies included temporal dynamics ( n = 6), and these studies focused on perennial streams (Da Silva, Lansac‐Tôha, Lansac‐Tôha, Sales, & de Sousa Rocha, 2021; Lansac‐Tôha et al, 2019; Tonkin et al, 2018), river floodplains (Padial et al, 2014), intermittent ponds (Galvez et al, 2020), and intermittent streams (Datry et al, 2016). Even within the narrow set of interdisciplinary studies, a variety of analytical methods was used, including variation partitioning (Da Silva et al, 2021; Galvez et al, 2020; Padial et al, 2014), elements of metacommunity structure (Tonkin et al, 2018), and beta diversity components (Lansac‐Tôha et al, 2019). Logue et al (2011) previously reviewed empirical approaches to metacommunities and focused on variation partitioning and elements of metacommunity structure.…”
Section: Review Of Temporal Dynamics In Aquatic Metacommunitiesmentioning
confidence: 99%
“…Several studies have shown that environmental changes (nutrient enrichment) have a marked impact on the growth, community composition, density, and diversity of zooplankton in aquatic ecosystems [19][20][21]. Recently, researchers have shown an increased interest in variation in community composition among sites (beta diversity), which is also considered a very practical tool for exploring the effects of environmental factors on zooplankton communities [22,23]. Data from several studies suggest that the construction of dams or flooding of river-floodplain systems may induce environmental changes, which in turn could alter zooplankton community structures and decrease zooplankton beta diversity [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…While aquatic metacommunity studies have been targeted by a number of ecological studies (Cottenie et al, 2003; Gálvez et al, 2020; Gascón et al, 2016; Hill, Heino et al, 2017; Martin et al, 2021; Ramos et al, 2022; Zhao et al, 2017), the temporal aspect is often not included or only limited to a momentary view. It has been recently emphasized that such metacommunity studies should also consider the temporal component (i.e., a higher temporal sampling resolution both within and between multiple years Chaparro et al, 2018; Cottenie & De Meester, 2005; Da Silva et al, 2021; Gray et al, 2012; Horváth et al, 2016, 2019; Kulkarni et al, 2019; Padial et al, 2014; Smit et al, 2017; Wang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%