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428 results for “zooplankton”
Elemental and biochemical nutrient limitation of zooplankton: A meta-analysis
<p>Primary consumers in aquatic ecosystems are frequently limited by the quality of their food, often expressed as phytoplankton elemental and biochemical composition. However, effects of these food quality indicators vary across studies, and we lack an integrated understanding of how elemental (e.g., nitrogen, phosphorus) and biochemical (e.g., fatty acid, sterol) limitations interactively influence aquatic food webs. Here we present results of a meta-analysis using >100 experimental studies, confirming that limitation by N, P, fatty acids, and sterols all have significant negative effects on zooplankton performance. However, effects varied by grazer response (growth versus reproduction), specific manipulation, and across taxa. While P limitation had greater effects on zooplankton growth than fatty acids overall, P and fatty acid limitation had equal effects on reproduction. Furthermore, we show that: nutrient co-limitation in zooplankton is strong; effects of essential fatty acid limitation depend on P availability; indirect effects induced by P limitation exceed direct effects of mineral P limitation; and effects of nutrient amendments using laboratory phytoplankton isolates exceed those using natural field communities. Our meta-analysis reconciles contrasting views about the role of various food quality indicators, and their interactions, for zooplankton performance, and provides a mechanistic understanding of trophic transfer in aquatic environments.</p>
Figure 5 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 5. Tree diagram resulting from average linkage clustering using UPGMA method on the zooplankton community data reported during study period.
Data from: Empirical verification of feeding selectivity of larval and juvenile pelagic fishes using in situ zooplankton communities
<p>Most studies on the feeding ecology of larvae and juveniles of commercially important pelagic fishes have used field-based approaches. However, due to possible biases related to net sampling, it is uncertain whether the results obtained from those studies truly represent the situation of live fish in the sea. Here we investigated the feeding ecology of pelagic fishes through a laboratory experiment minimizing the biases inherent in field net sampling. In the experiment, hatchery-reared juvenile chub mackerel (<em>Scomber japonicus</em>) and larval/juvenile Japanese anchovy <em>(Engraulis japonicus</em>) were fed with wild-caught zooplankton assemblages collected from around Hakatajima Island in the Seto Inland Sea, Japan. The relationships between fish size and prey number in the gut, and the selectivity on each prey organism were determined. As a result, in both species, prey number and size increased with body size, and the fish showed strong selectivity for crustaceans including copepodites and adults of copepods. Our data has also clearly indicated that both species can selectively prey on preferred foods that are rare while avoiding non-preferred foods that are abundant. These results, which substantially accord with reports from previous field studies, will not only help field scientists make a convincing interpretation of their data, but also open the possibility of further laboratory studies on detailed mechanisms of the feeding selectivity of larval/juvenile pelagic fishes.</p>
Fig. 6 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 6: (Α) Cluster Analysis and (Β) Non-metric Multi-dimensional Scaling configuration (NMDS) on copepod's abundance data (50 μm net). The groups were delineated at a 60% similarity level (dashed line).
Fig. 2 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 2: Oithona davisae collected from Kavala's harbour A) dorsal view, B) side view, C) maxillule (scale 50 μm).
Fig. 3 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 3: Abundance (individuals m-3) of the zooplankton community, grouped by sampling stations, during the sampling period 2017-2018 in Kavala harbour.
Fig. 6 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 6: Spatial variation of copepod demographic class density: copepod nauplii, copepodit and adult males and females along the west and east coasts of Djerba Island.
Fig 8 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig 8: Correlation matrix (Pearson test) for biological variables in relation to abiotic variables determined along the west and east coasts of Djerba Island.
Fig. 4 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 4: Spatial variations of microphytoplankton abundance, microphytoplankton groups, dominant species, species richness and species diversity index along the west and east coasts of Djerba Island.
Fig. 7 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 7: Principal component analysis (PCA) (axis I and II) of microphytoplankton and zooplankton communities' abundance and selected environmental variables along the west and east coasts of Djerba Island.
Fig. 3 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 3: Spatial variations of nutrient concentrations: nitrite (NO -), nitrate (NO -), ammonium (NH +), total nitrogen (T- 2 3 4 N), orthophosphate (PO 3-), total phosphate (T-P), N/P ratio, 4 and silicate along the west and east coasts of Djerba Island.
Fig. 1 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 1: Location of sampling stations along the western and eastern coasts of Djerba Island. The grey contour lines in the maps show the position of the isobaths and the numbers in parenthesis indicate the depths of these isobaths. Table 1. Sampling date, depth, latitude and longitude of sampled stations.
Fig. 5 in Spatio-temporal variation of the invasive copepod Oithona davisae in the zooplankton community of Kavala harbour Abstract
Fig. 5: Abundances (ind m-3) (mean ± SD) of Oithona davisae and Oithona nana during the sampling period 2017-2018 in Kavala harbour.
Fig. 2 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 2. The abundance and biomass of ciliate taxa in the four treatments. The samples were collected on days 1, 5, 10, and 15.
Fig. 5 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 5. Dynamics of some dominant ciliate species during the experiment. The samples were collected on days 1, 5, 10, and 15. *Padj <0.008333, **Padj <0.001667
Fig. 6 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 6. Microphotographs of some common ciliates stained with the QPS approach during the experiment. (a) Askenasia acrostomia, (b) Askenasia chlorelligera, (c) Balanion planctonicum, (d) and (e) Codonella cratera, (f) Pseudostrombidium planctonticum, (g) and (i) Rimostrombidium lacustris, (h) Tintinnidium pusillum, (j) Rimostrombidium hyalinum, (k) Rimostrombidium brachykinetum, (l) Urotricha farcta, (m) Halteria sp., (n) Cyclidium sp., (o) Pelagostrombidium mirabile, (p) Limnostrombidium viride. All photographs were taken with an Olympic DP73 digital camera mounted on an Olympic BX51 light microscope. Scale bar equals 10 μm.
Fig. 3 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 3. Ciliate abundance and biomass by classification of body size. Small, medium, and large ciliates refer to a ciliate biovolume of <3000, 3000–5000, and> 5000 μm3, respectively.
Fig. 1 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 1. The initial (d1) and final (d15) biomass of algae (a) and final abundance of rotifers (b) in the four treatments.
Fig. 6 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)
Fig. 6. Mean (Zscore) of zooplankton (rotifers, cladocerans, copepods) abundance and biomass in the ponds, May.
Fig. 5 in Dynamics And Factors Influencing Zooplankton In The Lakes Svente, Riča, Dridzis And Geraņimovas-Ilzas (Eastern Latvia)
Fig. 5. Redundancy analysis (RDA) ordination plot for zooplankton abundance from Lake Svente during the sampling period. Abbreviations: ORP- Oxidation-reduction potential.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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