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54 results for “phytoplankton bloom”
Dataset on how mesopredator-mediated trophic cascade can break persistent phytoplankton blooms in coastal waters
<p>Managing eutrophied systems using only nutrient decreases to impose bottom-up control can be economically and ecologically challenging. Top-down controls through increased consumption have sometimes effectively controlled phytoplankton blooms. However, mechanistic insights, especially on possible trophic cascades, are less understood in brackish, species-poor coastal waters, where large cladocera are absent. In this study, we set up large mesocosms for three consecutive years during the growing season. One set of mesocosms contained mesopredators (gobies and shrimps), whereas the other mesocosms had no such mesopredator present. The results were standardized to monitoring data from the ecosystem to track possible differences between treatments and the system. We found that mesopredator mesocosms showed lower turbidity, phytoplankton biomass, and nutrients compared to no-mesopredator mesocosms, and compared to the ecosystem. This decrease allowed macrophytes to colonize water depths only sparsely colonized in the ecosystem. Rotifer biomass increased in mesopredator mesocosms compared to the ecosystem and to the no-mesopredator mesocosms. Likewise, copepod biomass that potentially grazes upon rotifers and other microzooplankton decreased in mesopredator mesocosms. No-mesopredator mesocosms were colonized by an omnivorous mesograzer (<em>Gammarus</em> <em>tigrinus</em>), potentially creating additional pressure on macrophytes and increasing grazing-mediated nutrient release. Zooplankton was not able to control the non-nutrient-limited phytoplankton. We propose a new mechanism, where a higher mesopredator density will increase grazing on phytoplankton by promoting microzooplankton capable of grazing on picophytoplankton. This proposed mechanism would contrast with freshwater systems, where a decrease of zooplanktivorous fish would promote larger phytoplankton grazer like cladocerans. Biomanipulation in such species-poor eutrophic coastal waters may be more successful, due to fewer trophic pathways, that can cause complex top-down controls like in other systems. Stocking eutrophic coastal waters with gobies and shrimps may be an alternative biomanipulative approach rather than selectively removing large piscivorous or omnivorous fish from eutrophic coastal waters.</p>
Dissolved storage glycans shaped the community composition of abundant bacterioplankton clades during a North Sea spring phytoplankton bloom
<p>In 2020 we sampled a complete spring bloom in the German Bight over a 90-day period. Bacterioplankton metagenomes from 30 time-points allowed reconstruction of 251 metagenome-assembled genomes (MAGs). Corresponding metatranscriptomes highlighted 50 particularly active MAGs of the most abundant clades. Saccharide measurements together with bacterial polysaccharide utilization loci (PUL) expression data identified β-glucans (diatom laminarin) and α-glucans as the most prominent dissolved polysaccharide substrates metabolized by the bacterioplankton. Here we are depositing all supporting environmental data for the analyzed 2020 Helgoland spring algal bloom. This includes physicochemical data, data on algal abundances and biovolumes, data on copepod and flagellate abundances, data on monosaccharide and antibody-based polysaccharide measurements, and 16S rRNA-based bacterial diversity data. The corresponding metagenome, metatranscriptome and MAG sequence data of this project are available from the European Nucleotide Archive (accession PRJEB52999).</p>
Dataset from publication: Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton
<p>This data set contains the output of the numerical ocean model GETM used in the publication "Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton"</p>
Supporting data for: Physical controls and ecological implications of the timing of the spring phytoplankton bloom on the Newfoundland and Labrador shelf
<p>The Newfoundland and Labrador (NL) shelf and the Grand Banks of Newfoundland have been known as iconic fishing areas for centuries. In such areas with seasonal sea ice coverage, the timing of the spring bloom has been linked to sea ice melting, which stratifies the water column and promotes favorable conditions for phytoplankton to grow and accumulate. With sea ice gradually disappearing, we revisited the physical drivers controlling the initiation of the spring bloom in the region. We found that the timing of the phytoplankton bloom on the Grand Banks corresponds to the timing of ocean re-stratification following winter mixing. We also found that large-scale climate indicators are good proxies for the timing of the bloom and the abundance of<em> Calanus finmarchicus</em>, a key zooplankton species for the ecosystem. By revealing links between physical and biological processes, this work paves the way for an improved ecosystem approach to fisheries management.</p>
Phytoplankton metabolism in a stratified nearshore ecosystem with recurrent Harmful Algal Blooms (HABs)
<p>Datasets from HAB monitoring program in Mallorca</p>
Supporting Files: Ash Deposition Triggers Phytoplankton Blooms at Nishinoshima Volcano, Japan
<p>Supporting data for 2023 G-Cubed Publication "Ash Deposition Triggers Phytoplankton Blooms at Nishinoshima Volcano, Japan". All methods for generated datasets included in the manuscript and supplemental material. 'AshTriggeringPhytoplanktonBlooms_README.txt' contains information about each file included here.</p> <p><strong>Please cite this </strong><strong>as the following:</strong></p> <p><span>Kelly, L. J.</span>, <span>Fauria, K. E.</span>, <span>Mittal, T.</span>, <span>El Kassar, J.</span>, <span>Bennartz, R.</span>, <span>Nicholson, D.</span>, et al. (<span>2023</span>). <span>Ash deposition triggers phytoplankton blooms at Nishinoshima Volcano, Japan</span>. <em>Geochemistry, Geophysics, Geosystems</em>, <span>24</span>, e2023GC010914. <a href="https://doi.org/10.1029/2023GC010914">https://doi.org/10.1029/2023GC010914</a></p>
Data from: A model of near-sea ice phytoplankton blooms
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Data from: Nutrient sources, phytoplankton blooms, and hypoxia along the Chinese coast in the East China Sea: Insight from summer 2014
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Supporting data for: Physical controls and ecological implications of the timing of the spring phytoplankton bloom on the Newfoundland and Labrador shelf
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Dataset on how mesopredator-mediated trophic cascade can break persistent phytoplankton blooms in coastal waters
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Data from: Rehabilitating the cyanobacteria – niche partitioning, resource use efficiency, and phytoplankton community structure during diazotrophic cyanobacterial blooms
1. Blooms of nitrogen-fixing cyanobacteria are recurrent phenomena in marine and freshwater habitats, and their supplying role in aquatic biogeochemical cycles is generally considered vital. The objective of this study is to analyze if an increasing proportion of nitrogen-fixing cyanobacteria affects (i) the composition of the non-diazotrophic component of ambient phytoplankton communities, and (ii) resource use efficiency (RUE; ratio of chl a to total nutrients) – an important ecosystem function. We hypothesize that diazotrophs increase community P use, and decrease N use efficiencies, as new N is brought into the system, relaxing N, and concomitantly aggravating P limitation. We test this by analyzing an extensive dataset from the Baltic Sea (> 3700 quantitative phytoplankton samples), known to harbor conspicuous and recurrent blooms of Nodularia spumigena and Aphanizomenon sp. 2. System-level phosphorus use efficiency (RUEP) was positively related with high proportion of diazotrophic cyanobacteria, suggesting aggravation of phosphorus limitation. However, concomitant decrease of nitrogen use efficiency (RUEN) was not observed. Nodularia spumigena, a dominant diazotroph and a notorious toxin producer, had a significantly stronger relationship with RUEP, compared to the competing non-toxic Aphanizomenon sp., confirming niche differentiation in P acquisition strategies between the major bloom-forming cyanobacterial species in the Baltic Sea. Nodularia occurrences were associated with stronger temperature stratification in more offshore environments, indicating higher reliance on in situ P regeneration. 3. By using constrained and unconstrained ordination, permutational multivariate analysis of variance, and local similarity analysis, we show that diazotrophic cyanobacteria explained no more than a few percent of the ambient phytoplankton community variation. The analyses furthermore yielded rather evenly distributed negative and positive effects on individual co-occurring phytoplankton taxa, with no obvious phylogenetic or functional trait-based patterns. 4. Synthesis. Our study reveals that despite the widely acknowledged noxious impacts of cyanobacterial blooms, the overall effect on phytoplankton community structure is minor. There are no predominantly positive or negative associations with ambient phytoplankton species. Species-specific niche differences in cyanobacterial resource acquisition affect important ecosystem functions, like biomass production per unit limiting resource.
Code and data for: The evolution of light and vertical mixing across a phytoplankton ice-edge bloom
<p>This is a first release of the code (and the data and figures it produced) used by Randelhoff et al. for "The evolution of light and vertical mixing across a phytoplankton ice-edge bloom", Elementa: Science of the Anthropocene (2019).</p>
CTD and biogeochemical data from a phytoplankton bloom in the North Pacific Subtropical Gyre in summer 2022 (PARAGON II expedition)
<p>CTD and biogeochemical data from a phytoplankton bloom in the North Pacific Subtropical Gyre in August 2022 (PARAGON II expedition) aboard the R/V Kilo Moana (KM2209). </p>
Impact of upwelling on phytoplankton blooms and hypoxia along the Chinese coast in the East China Sea
<p>This study evaluates the rarely observed phenomenon of the simultaneous occurrences of phytoplankton blooms, hypoxia, and upwelling along the Zhejiang coast in the East China Sea. Results show that the upwelling uplifted bottom water to 5–10 m below the surface. In the upwelling region, phytoplankton blooms (Chl a = 10.9 μg L−1) occurred and hypoxia or low-oxygen appeared below the surface water. High concentrations of nitrate and phosphate were regenerated in the hypoxic regions, corresponding with mean values (± SD) of 16.9 (± 1.5) and 0.90 (± 0.14) μM, respectively. The upwelling expanded the region of hypoxic water, which nearly reached the surface, thereby increasing the threat to marine life. In addition to fluvial nutrients, the upwelling of water with high nutrient levels, especially phosphates, can enhance phytoplankton blooms. The results suggest that hypoxia can become more severe due to further decomposition of bloom-derived organic matter after blooms crash.</p>
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom
<p>Production and use of proteins is under strong selection in microbes, but it is unclear how proteome-level traits relate to ecological strategies. We identified and quantified proteomic traits of eukaryotic microbes and bacteria through an Antarctic phytoplankton bloom using in situ metaproteomics. Different taxa, rather than different environmental conditions, formed distinct clusters based on their ribosomal and photosynthetic proteomic proportions, and we propose that these characteristics relate to ecological differences. We defined and used a proteomic proxy for regulatory cost, which showed that SAR11 had the lowest regulatory cost of any taxa we observed at our summertime Southern Ocean study site. Haptophytes had lower regulatory cost than diatoms, which may underpin haptophyte-to-diatom bloom progression in the Ross Sea. We were able to make these proteomic trait inferences by assessing various sources of bias in metaproteomics, providing practical recommendations for researchers in the field. We have quantified several proteomic traits (ribosomal and photosynthetic proteomic proportions, regulatory cost) in eukaryotic and bacterial taxa, which can then be incorporated into trait-based models of microbial communities that reflect resource allocation strategies.</p>
Data from: Rehabilitating the cyanobacteria – niche partitioning, resource use efficiency, and phytoplankton community structure during diazotrophic cyanobacterial blooms
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Impact of upwelling on phytoplankton blooms and hypoxia along the Chinese coast in the East China Sea
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Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom
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Climate-driven change to phytoplankton blooms across the global ocean - CMIP6 Phenology Outputs
<p>Bloom phenology metrics calculated from CMIP6 chlos outputs archived. Models include 'CNRM-ESM2-1-LR', 'MPI-ESM1-2-LR', 'NorESM2-LM' and 'NorESM2-MM'. Metrics calculated using daily outputs resampled to 5 day means with the methods outlined in Thomalla et al. (2023) Nature Climate Change (doi: 10.1038/s41558-023-01768-4).</p><p>Data are organised along the dimensions of model, year, latitude and longitude.</p><p>Data include the Historical (1850-2014) and high emissions SSP5-8.5 (2015-2100) simulations.</p><p>Metrics include bloom initiation, bloom termination, bloom duration, bloom integrated chlorophyll-a, bloom mean chlorophyll-a, bloom maximum chlorophyll-a, bloom maximum date, number of bloom peaks and seasonal cycle reproducibility.</p>
Supplementary material 9 from: Pearman JK, Casas L, Michell C, Aldanondo N, Mojib N, Holtermann K, Georgakakis I, Curdia J, Carvalho S, Gusti A, Irigoien X (2022) Comparative metagenomics of phytoplankton blooms after nutrient enrichment of oligotrophic marine waters. Metabarcoding and Metagenomics 6: e79208. https://doi.org/10.3897/mbmg.6.79208
Table S4
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.