Spatial patterns of littoral zooplankton assemblages along a salinity gradient in a brackish sea: A functional diversity perspective

Helenius, Laura; Leskinen, Elina; Lehtonen, Hannu; Nurminen, Leena

doi:10.1016/j.ecss.2016.08.031

Cited by 21 publications

(10 citation statements)

References 72 publications

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“…A consensus of the data from the present study ( Supplementary Table 1) and the literature indicates that Cercopagis is most often found at salinities of 0.3-6 PSU and temperatures of 4-24 • C in the Baltic (Krylov et al, 1999;Ojaveer et al, 2004;Litvinchuk and Telesh, 2006;Bielecka et al, 2014;Rowe et al, 2016;Helenius et al, 2017;Naumenko, 2018). For instance, studies conducted in 2008-2009 in the coastal zone of the southwestern part of Finland showed that this species was found at stations with high salinity (∼6 PSU) (Helenius et al, 2017). In our study C. pengoi also preferred stations with higher salinity (Tables 3, 4).…”

Section: Correlation Of the Biomass Of Cercopagis Pengoi With Abioticsupporting

confidence: 75%

Effects of Environmental Gradients on the Biomass of Alien Cercopagis pengoi in the Neva Estuary

2020

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Biological invasions are a global trend due to globalization of the world. An important goal of invasion biology is to identify environmental characteristics that may make a region receptive to invasions. We tested the hypothesis that environmental variables have stronger effect on the biomass of the alien Cercopagis pengoi in the Neva Estuary than biotic interactions with other zooplankton species. Hierarchical cluster, principal component and Pearson correlation analyzes were used to elucidate changes within the zooplankton community along environmental gradients. The data analysis showed that the biomass of C. pengoi was higher in waters with higher salinity, low temperature, high transparency, lower chlorophyll a concentration and lower proportion of chlorophyll in particulate suspended matter. The biomass of C. pengoi showed significant positive correlations with biomasses of its potential preys. However, we did not find direct significant negative correlations between C. pengoi and larger zooplankton predators Leptodora kindtii and Bythotrephes spp. This research generally supports the hypothesis that if environmental variables are appropriate for an exotic species, then that species is likely to invade successfully, regardless of the native species already present.

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Section: Correlation Of the Biomass Of Cercopagis Pengoi With Abioticsupporting

confidence: 75%

Effects of Environmental Gradients on the Biomass of Alien Cercopagis pengoi in the Neva Estuary

2020

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“…However, alternative and/or complementary processes may be also proposed. In this regard, it has been reported that environmental predictors can show patchiness (Espinasse et al, 2014; Gluchowska et al, 2017; Trudnowska et al, 2016; Usov et al, 2019), which hampers pattern assessments over a continuous space (Helenius et al, 2017; Usov et al, 2019). This may become particularly relevant in studies that consider large‐scale geographic areas or the open ocean, in which environmental gradients usually show three‐dimensional reorganizations (Usov et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Section: Effect Of Environmental Predictors On Zooplankton Diversitymentioning

confidence: 99%

Environmental conditions drive zooplankton community structure in the epipelagic oceanic water of the southern Gulf of Mexico: A molecular approach

Cicala¹,

Arteaga²,

Herzka³

et al. 2021

Molecular Ecology

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Zooplankton form some of the most abundant and diverse biological communities in aquatic environments and constitute an integral component of both marine and freshwater ecosystems (Bucklin et al., 2016;Djurhuus et al., 2018;Xiong et al., 2019). Estimating the richness of zooplankton species remains a priority in several fields of research, from ecology to conservation biology (Carugati et al., 2015;Gaston, 2009). Such studies are particularly important in marine ecosystems where ecological processes are often maintained by both complex biotic interactions and environmental drivers (Palumbi

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“…However, alternative and/or complementary possibilities may be also proposed. In this regard, it has been previously reported that environmental predictors generally show patchiness (Espinasse, Carlotti, Zhou, & Devenon, 2014;Gluchowska et al, 2017;Trudnowska, Gluchowska, Beszczynska-Möller, Blachowiak-Samolyk, & Kwasniewski, 2016;Usov et al, 2019), which hampers pattern assessments over a continuous space (Helenius, Leskinen, Lehtonen, & Nurminen, 2017;Usov et al, 2019). This may become particularly relevant in studies that consider large-scale geographic areas or the open ocean, in which environmental gradients usually show three-dimensional reorganizations (Usov et al, 2019).…”

Section: Effect Of Environmental Predictors On Zooplankton Diversitymentioning

confidence: 99%

Environmental conditions drive zooplankton community structure in the deep-water region of the southern Gulf of Mexico: a molecular approach

Cicala¹,

Arteaga²,

Herzka³

et al. 2021

Preprint

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Zooplankton play a pivotal role in sustaining the majority of marine ecosystems. The distribution patterns and diversity of zooplankton provide key information for understanding the functioning of these ecosystems. Nevertheless, due to the numerous cryptic and sibling species and the lack of diagnostic characteristics for immature developmental stages, the identification of the global-to-local patterns of zooplankton biodiversity and biogeography remains a challenge in different research fields. Here, the spatial and temporal changes in the zooplankton community from the open waters of the southern section of the Gulf of Mexico were assessed using a multilocus sequence analysis and metabarcoding approach based on the genetic information of 18S and cytochrome oxidase c subunit I (COI) genes. Additionally, a multi-scale analysis was implemented to evaluate which environmental predictors may explain the variability in the structure of the zooplankton community. Our finding suggests that the synergistic effects of oxygen, temperature, and longitude (intended as a proxy for still unexplored forces) may explain both spatial and temporal changes in the zooplankton community. Furthermore, the zooplankton distribution likely reflects the coexistence of three heterogeneous ecoregions and a bio-physical partitioning of the studied area. Finally, some taxa were either exclusive or predominant with either 18S or COI data. This may suggest that comprehensive assessments of the zooplankton community may be more accurately met by the use of multi-locus approaches.

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Spatial patterns of littoral zooplankton assemblages along a salinity gradient in a brackish sea: A functional diversity perspective

Cited by 21 publications

References 72 publications

Effects of Environmental Gradients on the Biomass of Alien Cercopagis pengoi in the Neva Estuary

Effects of Environmental Gradients on the Biomass of Alien Cercopagis pengoi in the Neva Estuary

Environmental conditions drive zooplankton community structure in the epipelagic oceanic water of the southern Gulf of Mexico: A molecular approach

Environmental conditions drive zooplankton community structure in the deep-water region of the southern Gulf of Mexico: a molecular approach

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