Vulnerability of rotifers and copepod nauplii to predation by Cyclops kolensis (Crustacea, Copepoda) under varying temperatures in Lake Baikal, Siberia

Meyer, Michael F.; Hampton, Stephanie E.; Ozersky, Ted; Rusanovskaya, Olga O.; Woo, Kara

doi:10.1007/s10750-016-3005-2

Cited by 13 publications

(10 citation statements)

References 47 publications

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“…For example, in our study, the relative abundance of rotifers increased from Sections I and II to Section III where the concentration of Chl_a was lowest. The other reason might be due to predation, as some crustaceans could prey on small sized rotifers, leading to the higher abundance of crustaceans while the lower abundance of rotifers (Laxson, McPhedran, Makarewicz, Telesh, & MacIsaac, ; Meyer, Hampton, Ozersky, Rusanovskaya, & Woo, ). Thus, species interactions need to be taken into consideration as one crucial factor responsible for changes of community structure in future studies.…”

Section: Discussionmentioning

confidence: 99%

Geographical distribution of zooplankton biodiversity in highly polluted running water ecosystems: Validation of fine‐scale species sorting hypothesis

Yang

Gao

et al. 2018

Ecology and Evolution

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Dispersal, rather than species sorting, is widely recognized as the dominant driver for determining meta‐community structure at fine geographical scales in running water ecosystems. However, this view has been challenged by a recently proposed “fine‐scale species sorting hypothesis,” where community structure can be largely determined by an environmental gradient formed by local pollution at fine scales. Here, we tested this hypothesis by studying community composition and geographical distribution of metazoan zooplankton in a heavily polluted river—the North Canal River in the Haihe River Basin, China. Analysis of similarity (ANOSIM) showed that the community composition of metazoan zooplankton differed significantly (p = .001) along the environmental gradient. Ammonium (NH4‐N) was the leading factor responsible for changes in zooplankton community structure and geographical distribution, followed by total dissolved solid (TDS), Na, dissolved oxygen (DO) and temperature (T). Variation partitioning revealed a larger contribution of environmental variables (21.6%) than spatial variables (1.1%) to the total explained variation of zooplankton communities. Our results support that species sorting, rather than dispersal, played a key role in structuring communities. Threshold Indicator Taxa ANalysis (TITAN) also revealed significant change points at both taxon and community levels along the gradient of NH4‐N, providing further support for the influence of environmental variables on zooplankton communities. Collectively, we validate the fine‐scale species sorting hypothesis when an environmental gradient exists in running water ecosystems at fine geographical scales. However, future studies on interactions between pollutants and zooplankton communities are still needed to better understand mechanisms responsible for the meta‐community dynamics.

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Section: Discussionmentioning

confidence: 99%

Geographical distribution of zooplankton biodiversity in highly polluted running water ecosystems: Validation of fine‐scale species sorting hypothesis

Yang

Gao

et al. 2018

Ecology and Evolution

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“…In other lakes, rotifers are consumed by large copepods, thereby providing a potential rotifer-copepod pathway for moving microbial carbon ingested by rotifers to higher trophic levels. However, rotifers are ingested at minimal rates by C. kolensis (Meyer, Hampton, Ozersky, Rusanovskaya, & Woo, 2016), and they are probably too large for the small copepod E. baikalensis to ingest as well. Prey ingested by E. baikalensis range in size from c. 4 to 30 or 50 μm according to gut content analyses (Afanasyeva, 1998;Naumova et al, 2001), and this size range excludes rotifers.…”

Section: Diaptomus Pygmaeus and Diaptomus Minutus)mentioning

confidence: 99%

Trophic coupling of the microbial and the classical food web in Lake Baikal, Siberia

et al. 2018

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Pelagic copepods often couple the classical and microbial food webs by feeding on microzooplankton (e.g. ciliates) in oligotrophic aquatic systems, and this consumption can trigger trophic cascades within the microbial food web. Consumption of mixotrophic microzooplankton, which are both autotrophic and heterotrophic within the same individual, is of particular interest because of its influence on carbon transfer efficiency within aquatic food webs. In Lake Baikal, Siberia, it is unknown how carbon from a well‐developed microbial food web present during summer stratification moves into higher trophic levels within the classical food web. We conducted in situ experiments in August 2015 to test the hypotheses that: (a) the lake's dominant endemic copepod (Epischura baikalensis), previously assumed to be an herbivore feeding on diatoms, connects the microbial and classical food webs by ingesting ciliates; and (b) this feeding initiates top‐down effects within the microbial food web. Our results supported these hypotheses. E. baikalensis individuals consumed on average 101–161 ciliates per day, obtaining 96%–98% of their ingested carbon from ciliates and the remainder from small diatoms. Clearly, E. baikalensis is omnivorous, and it is probably channelling more primary production from both the microbial food web and the classical food web of Lake Baikal to higher trophic levels than any other pelagic consumer. Most ciliates consumed were a mixotrophic oligotrich and such taxa are often abundant in summer in other oligotrophic lakes. Consumption of these mixotrophs is likely to boost substantially the transfer efficiency of biomass to higher trophic levels with potential implications for fish production, but this has seldom been investigated in oligotrophic lakes. Feeding of E. baikalensis initiated a three‐link predatory cascade which reduced the abundance of ciliates and elevated growth rates of heterotrophic nanoflagellates but did not affect abundance or growth rates of autotrophic picoplankton. This demonstration of a potential trophic cascade in Lake Baikal indicates that investigations at larger spatial–temporal scales are needed to identify the conditions promoting or precluding trophic cascades in this lake.

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“…Significant variation was also observed at the taxonomic level, such as the reverse relationship between Rotifera and Arthropoda (mostly crustaceans; Figure b). Such a reverse relationship was common in aquatic ecosystems (Xiong et al, ; Yang et al, ) and was mainly related to interspecific interactions, such as competition or predation (Laxson, McPhedran, Makarewicz, Telesh, & MacIsaac, ; Meyer, Hampton, Ozersky, Rusanovskaya, & Woo, ).…”

Section: Discussionmentioning

confidence: 99%

Interactome‐based abiotic and biotic impacts on biodiversity of plankton communities in disturbed wetlands

Yang

Gao

Chen

et al. 2019

Diversity and Distributions

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Aim: Despite great efforts for conservation, biodiversity in wetland ecosystems is still losing at an alarming rate. Thus, it is crucial to deeply understand ecological processes and mechanisms that potentially affect the loss of biodiversity.Location: Sanjiang wetland in Sanjiang floodplain, north-east China.Methods: Biological samples and environmental data were collected from five approximate habitats under different anthropogenic disturbance levels from Sanjiang wetland.Biodiversity of plankton communities (i.e., bacterioplankton and zooplankton) was characterized by high-throughput sequencing-based metabarcoding. Multidisciplinary methods including interactome-based construction of scale-free networks were employed to examine the complex biotic interactions and abiotic influence on plankton biodiversity. Results:Both environmental variables and community composition of plankton communities varied significantly among five habitats. Environmental filtering was identified as the dominant ecological process that drove the distinct community composition and geographical distribution of biodiversity. However, the significantly influential factors were different for bacterioplankton (e.g., pH and As) and zooplankton communities (e.g., NH 4 and TP). In total, environmental factors could explain approximately 30% of community variation for both types of plankton communities. Based on interactome networks, more organism-associated edges were identified than environment-associated edges. Such a pattern suggests that, in addition to environmental influence, biotic interactions also play a crucial role to shape biodiversity variation. Main conclusions: Both abiotic factors and biotic interactions largely contributedto the distinct composition and geographical distribution of bacterioplankton and zooplankton communities in Sanjiang wetland. Therefore, the interactome-based investigation is recommended to examine synthesized impacts of abiotic and biotic variables, and such a comprehensive survey can largely facilitate our understanding of ecological processes and associated mechanisms that drive the loss of wetland biodiversity. Results from comprehensive surveys can help identify conservation priorities and improve the predictability of conservation programmes. K E Y W O R D Sbiodiversity, conservation, interactome, plankton communities, water pollution, wetland | 1417 YANG et Al.

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Vulnerability of rotifers and copepod nauplii to predation by Cyclops kolensis (Crustacea, Copepoda) under varying temperatures in Lake Baikal, Siberia

Cited by 13 publications

References 47 publications

Geographical distribution of zooplankton biodiversity in highly polluted running water ecosystems: Validation of fine‐scale species sorting hypothesis

Geographical distribution of zooplankton biodiversity in highly polluted running water ecosystems: Validation of fine‐scale species sorting hypothesis

Trophic coupling of the microbial and the classical food web in Lake Baikal, Siberia

Interactome‐based abiotic and biotic impacts on biodiversity of plankton communities in disturbed wetlands

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