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  • PANGAEA  (5)
  • Copernicus Publications on behalf of the European Geosciences Union  (1)
  • Elsevier  (1)
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Keywords
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Years
  • 1
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Microzooplankton (the 20 to 200 µm size class of zooplankton) is recognised as an important part of marine pelagic ecosystems. In terms of biomass and abundance pelagic ciliates are one of the important groups of organism in microzooplankton. However, their rates - grazing and growth - , feeding behaviour and prey preferences are poorly known and understood. A set of data was assembled in order to derive a better understanding of pelagic ciliates rates, in response to parameters such as prey concentration, prey type (size and species), temperature and their own size. With these objectives, literature was searched for laboratory experiments with information on one or more of these parameters effect studied. The criteria for selection and inclusion in the database included: (i) controlled laboratory experiment with a known ciliates feeding on a known prey; (ii) presence of ancillary information about experimental conditions, used organisms - cell volume, cell dimensions, and carbon content. Rates and ancillary information were measured in units that meet the experimenter need, creating a need to harmonize the data units after collection. In addition different units can link to different mechanisms (carbon to nutritive quality of the prey, volume to size limits). As a result, grazing rates are thus available as pg C/(ciliate*h), µm**3/(ciliate*h) and prey cell/(ciliate*h); clearance rate was calculated if not given and growth rate is expressed as the growth rate per day.
    Keywords: EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis
    Type: Dataset
    Format: application/zip, 1.4 MBytes
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Microzooplankton (the 20 to 200 µm size class of zooplankton) is recognised as an important part of marine pelagic ecosystems. In terms of biomass and abundance heterotrophic dinoflagellates are one of the important groups of organism in microzooplankton. However, their rates - grazing and growth - , feeding behaviour and prey preferences are poorly known and understood. A set of data was assembled in order to derive a better understanding of heterotrophic dinoflagellates rates, in response to parameters such as prey concentration, prey type (size and species), temperature and their own size. With these objectives, literature was searched for laboratory experiments with information on one or more of these parameters effect studied. The criteria for selection and inclusion in the database included: (i) controlled laboratory experiment with a known dinoflagellate feeding on a known prey; (ii) presence of ancillary information about experimental conditions, used organisms - cell volume, cell dimensions, and carbon content. Rates and ancillary information were measured in units that meet the experimenter need, creating a need to harmonize the data units after collection. In addition different units can link to different mechanisms (carbon to nutritive quality of the prey, volume to size limits). As a result, grazing rates are thus available as pg C dinoflagellate-1 h-1, µm3 dinoflagellate-1 h-1 and prey cell dinoflagellate-1 h-1; clearance rate was calculated if not given and growth rate is expressed as the growth rate per day.
    Keywords: EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis
    Type: Dataset
    Format: application/zip, 425.4 kBytes
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-01-26
    Description: The present data compilation includes dinoflagellates growth rate, grazing rate and gross growth efficiency determined either in the field or in laboratory experiments. From the existing literature, we synthesized all data that we could find on dinoflagellates. Some sources might be missing but none were purposefully ignored. We did not include autotrophic dinoflagellates in the database, but mixotrophic organisms may have been included. This is due to the large uncertainty about which taxa are mixotrophic, heterotrophic or symbiont bearing. Field data on microzooplankton grazing are mostly comprised of grazing rate using the dilution technique with a 24h incubation period. Laboratory grazing and growth data are focused on pelagic ciliates and heterotrophic dinoflagellates. The experiment measured grazing or growth as a function of prey concentration or at saturating prey concentration (maximal grazing rate). When considering every single data point available (each measured rate for a defined predator-prey pair and a certain prey concentration) there is a total of 801 data points for the dinoflagellates, counting experiments that measured growth and grazing simultaneously as 1 data point.
    Keywords: 00DEQ029; ASC-1992; ASC-1993; ASC-1995; Atlantic, Vineyard Sound; Basin Scale Analysis, Synthesis and Integration; Bucket, plastic; Carbon per cell; CCMP1834; Cell biovolume; Dinoflagellata, cell biovolume; Dinoflagellata equivalent spherical diameter; East China Sea; Equivalent spherical diameter; EURO-BASIN; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; Event label; EXP; Experiment; FEEDEXP_2005; FEEDEXP_DINO_2000; FEEDEXP_DINO_2005; Geum_Estuary; Geum, Korea, Asia; Golf of Mexico; GPSMK0209; Grazing rate as carbon per individual; Gross growth efficiency; Gwangyang_offshore; GWS_BUESUM_1993; GYRE1994_GM; HARIMA_GD; HTMS0402; IESHIMA_GD; Inner Oslofjord; Kattegat; Kattegat_PNET; Latitude of event; Longitude of event; LpSIO95; MASAN_BAY_2003; MASAN_BAY_2004; MASAN_BAY_2005; Net; NET; OSLOFJORD_DL_1994; P_piscicida_FEEDEXP; Pacific Ocean; PDHMS0206; PLA; Plankton net; PMCJH99; Port Aransas, Aransas ship channel; Prey/Predator, carbon per cell ratio; Prey/Predator, cell biovolume ratio; Prey/Predator, equivalent spherical diameter ratio; PUGET_SOUND_2005; Puget Sound, Salish Sea; Reference/source; Scripps_P_Fragilidium; Scripps_P_Proto; Seto Inland Sea; Taxon/taxa; TISO_NCM; TOKYO_BAY_GD; Tokyo Bay; Treatment: temperature; Uniform resource locator/link to reference; VS_MS_1993; Wadden Sea, North Sea, Germany; Water sample; WB; WS
    Type: Dataset
    Format: text/tab-separated-values, 2584 data points
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Sailley, Sevrine; Buitenhuis, Erik Theodoor (2014): Microzooplankton functional responses in the lab and in the field. Earth System Science Data Discussions, 7(1), 149-167, https://doi.org/10.5194/essdd-7-149-2014
    Publication Date: 2024-01-26
    Description: The present data compilation includes ciliates growth rate, grazing rate and gross growth efficiency determined either in the field or in laboratory experiments. From the existing literature, we synthesized all data that we could find on cilliate. Some sources might be missing but none were purposefully ignored. Field data on microzooplankton grazing are mostly comprised of grazing rate using the dilution technique with a 24h incubation period. Laboratory grazing and growth data are focused on pelagic ciliates and heterotrophic dinoflagellates. The experiment measured grazing or growth as a function of prey concentration or at saturating prey concentration (maximal grazing rate). When considering every single data point available (each measured rate for a defined predator-prey pair and a certain prey concentration) there is a total of 1485 data points for the ciliates, counting experiments that measured growth and grazing simultaneously as 1 data point.
    Keywords: Basin Scale Analysis, Synthesis and Integration; BH-FAV; Boston Harbour; BOV_1985; BPS_1; BPS_2; BPS_3; BPS_4; BPS_5; BPS_6; BPS_7; BPS_8; Carbon per cell; Cell biovolume; Chicamacomico River, Bestpitch Bridge; Choptank River; CHR_2000; Ciliates, cell biovolume; Ciliates, equivalent spherical diameter; Equivalent spherical diameter; EURO-BASIN; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; Event label; EXP; Experiment; F_ehrenbergii_FEEDEXP_1; F_ehrenbergii_FEEDEXP_2; F_taraikaensis_FEEDEXP; FEEDEXP_CILIATES_1978; FEEDEXP_CILIATES_1986; FEEDEXP_CILIATES_1988; FEEDEXP_CILIATES_1991; FEEDEXP_CILIATES_1996; FEEDEXP_CILIATES_2005; Grazing rate as carbon per individual; Gross growth efficiency; Kosterfjord; KUNSAN_MKE_1; KUNSAN_MKE_2; L_spiralis_FEEDEXP; Latitude of event; Longitude of event; ManKyeong Estuary; Narragansett Bay; NBAY_1985; NBAY_1986; outer Oslofjord; PDQ82; PERCH_POND_FALMA_1; PERCH_POND_FALMA_2; PLA; Plankton net; Prey/Predator, carbon per cell ratio; Prey/Predator, cell biovolume ratio; Prey/Predator, equivalent spherical diameter ratio; PUGET_SOUND_1994; Puget Sound, Salish Sea; Reference/source; S_sulcatum_FEEDEXP_1; S_sulcatum_FEEDEXP_2; Strombidium_FEEDEXP; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 5268 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-04-02
    Description: Microzooplankton database. Originally published in: Buitenhuis, Erik, Richard Rivkin, Sévrine Sailley, Corinne Le Quéré (2010) Biogeochemical fluxes through microzooplankton. Global Biogeochemical Cycles Vol. 24, GB4015, doi:10.1029/2009GB003601 This new version has had some mistakes corrected.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 4 MBytes
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2022-05-25
    Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ecological Modelling 261-262 (2013): 43–57, doi:10.1016/j.ecolmodel.2013.04.006.
    Description: Dynamic Green Ocean Models (DGOMs) include different sets of Plankton Functional Types (PFTs) and equations, thus different interactions and food webs. Using four DGOMs (CCSM-BEC, PISCES, NEMURO and PlankTOM5) we explore how predator–prey interactions influence food web dynamics. Using each model's equations and biomass output, interaction strengths (direct and specific) were calculated and the role of zooplankton in modeled food webs examined. In CCSM-BEC the single size-class adaptive zooplankton preys on different phytoplankton groups according to prey availability and food preferences, resulting in a strong top-down control. In PISCES the micro- and meso-zooplankton groups compete for food resources, grazing phytoplankton depending on their availability in a mixture of bottom-up and top-down control. In NEMURO macrozooplankton controls the biomass of other zooplankton PFTs and defines the structure of the food web with a strong top-down control within the zooplankton. In PlankTOM5, competition and predation between micro- and meso-zooplankton along with strong preferences for nanophytoplankton and diatoms, respectively, leads to their mutual exclusion with a mixture of bottom-up and top-down control of the plankton community composition. In each model, the grazing pressure of the zooplankton PFTs and the way it is exerted on their preys may result in the food web dynamics and structure of the model to diverge from the one that was intended when designing the model. Our approach shows that the food web dynamics, in particular the strength of the predator–prey interactions, are driven by the choice of parameters and more specifically the food preferences. Consequently, our findings stress the importance of equation and parameter choice as they define interactions between PFTs and overall food web dynamics (competition, bottom-up or top-down effects). Also, the differences in the simulated food-webs between different models highlight the gap of knowledge for zooplankton rates and predator–prey interactions. In particular, concerted effort is needed to identify the key growth and loss parameters and interactions and quantify them with targeted laboratory experiments in order to bring our understanding of zooplankton at a similar level to phytoplankton.
    Description: This work was supported with funding from Palmer LTER (NSF OPP-0823101) and C-MORE (NSF EF-0424599).
    Keywords: Dynamic Green Ocean Model ; Plankton Functional Types ; Zooplankton ; Food web dynamic ; Predator–prey interactions
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2022-05-25
    Description: © The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Biogeosciences 10 (2013); 6833-6850, doi:10.5194/bg-10-6833-2013.
    Description: We investigated the mechanisms of phytoplankton competition during the spring bloom, one of the most dramatic seasonal events in lower-trophic-level ecosystems, in four state-of-the-art plankton functional type (PFT) models: PISCES, NEMURO, PlankTOM5 and CCSM-BEC. In particular, we investigated the relative importance of different ecophysiological processes on the determination of the community structure, focusing both on the bottom-up and the top-down controls. The models reasonably reproduced the observed global distribution and seasonal variation of phytoplankton biomass. The fraction of diatoms with respect to the total phytoplankton biomass increases with the magnitude of the spring bloom in all models. However, the governing mechanisms differ between models, despite the fact that current PFT models represent ecophysiological processes using the same types of parameterizations. The increasing trend in the percentage of diatoms with increasing bloom magnitude is mainly caused by a stronger nutrient dependence of diatom growth compared to nanophytoplankton (bottom-up control). The difference in the maximum growth rate plays an important role in NEMURO and PlankTOM5 and determines the absolute values of the percentage of diatoms during the bloom. In CCSM-BEC, the light dependency of growth plays an important role in the North Atlantic and the Southern Ocean. The grazing pressure by zooplankton (top-down control), however, strongly contributes to the dominance of diatoms in PISCES and CCSM-BEC. The regional differences in the percentage of diatoms in PlankTOM5 are mainly determined by top-down control. These differences in the mechanisms suggest that the response of marine ecosystems to climate change could significantly differ among models, even if the present-day ecosystem is reproduced to a similar degree of confidence. For further understanding of plankton competition and for the prediction of future change in marine ecosystems, it is important to understand the relative differences in each physiological rate and life history rate in the bottom-up and the top-down controls between PFTs.
    Description: T. Hashioka, Y. Yamanaka and T. Hirata, were supported by the Grant-in-Aid for the Global COE Program from MEXT, by the Global Environment Research Fund (S-5) from the Ministry of the Environment and by the Strategic Young Researcher Overseas Visits Program for Accelerating Brain Circulation from JSPS. S. Doney, I. Lima and S. Sailley acknowledge support from C-MORE (NSF EF-0424599).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
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