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  • Data  (13)
  • 2020-2024  (13)
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  • 1
    Publication Date: 2023-02-24
    Description: Aquatic ecosystems face a multitude of environmental stressors, including warming and acidification. While warming is expected to have a pronounced effect on plankton communities, many components of the plankton seem fairly robust towards realistic end-of-century acidification conditions. However, interactions of the two stressors and the inclusion of further factors such as nutrient concentration and trophic interactions are expected to change this outcome. We investigated the effects of warming and high CO2 on a nutrient-deplete late summer plankton community from the Kiel Fjord, Baltic Sea, using a mesocosm setup crossing two temperatures with a gradient of CO2. Phytoplankton and microzooplankton (MZP) growth rates as well as biomass, taxonomic composition, and grazing rates of MZP were analysed. We observed effects of high CO2, warming, and their interactions on all measured parameters. The occurrence and direction of the effects were dependent on the phytoplankton or MZP community composition. In addition, the abundance of small-sized phytoplankton was identified as one of the most important factors in shaping the MZP community composition. Overall, our results indicate that an estuarine MZP community used to strong natural fluctuations in CO2 can still be affected by a moderate increase in CO2 if it occurs in combination with warming and during a nutrient-deplete post-bloom situation. This highlights the importance of including trophic interactions and seasonality aspects when assessing climate change effects on marine zooplankton communities.
    Keywords: Baltic Sea; BIOACID; Biological Impacts of Ocean Acidification; Cell, diameter; Cell, length; Cell biovolume; ciliates; Dinoflagellates; global warming; mesocosm; Ocean acidification; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 1414 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-07-10
    Description: Aquatic ecosystems face a multitude of environmental stressors, including warming and acidification. While warming is expected to have a pronounced effect on plankton communities, many components of the plankton seem fairly robust towards realistic end-of-century acidification conditions. However, interactions of the two stressors and the inclusion of further factors such as nutrient concentration and trophic interactions are expected to change this outcome. We investigated the effects of warming and high CO2 on a nutrient-deplete late summer plankton community from the Kiel Fjord, Baltic Sea, using a mesocosm setup crossing two temperatures with a gradient of CO2. Phytoplankton and microzooplankton (MZP) growth rates as well as biomass, taxonomic composition, and grazing rates of MZP were analysed. We observed effects of high CO2, warming, and their interactions on all measured parameters. The occurrence and direction of the effects were dependent on the phytoplankton or MZP community composition. In addition, the abundance of small-sized phytoplankton was identified as one of the most important factors in shaping the MZP community composition. Overall, our results indicate that an estuarine MZP community used to strong natural fluctuations in CO2 can still be affected by a moderate increase in CO2 if it occurs in combination with warming and during a nutrient-deplete post-bloom situation. This highlights the importance of including trophic interactions and seasonality aspects when assessing climate change effects on marine zooplankton communities.
    Keywords: Balanion comatum; Baltic Sea; BIOACID; Biological Impacts of Ocean Acidification; ciliates; Ciliates, loricate; Ciliates, other; DATE/TIME; Day of experiment; Dinoflagellates; Dinoflagellates, athecate; Dinoflagellates, thecate; Dinophysis sp.; Euplotes sp.; global warming; Lohmaniella oviformis; mesocosm; Mesocosm label; Myrionecta rubra; Ocean acidification; Prorocentrum micans; Prorocentrum minimum; Strobilidium sp.; Strobilidium spp.; Strombidium sp.; Strombidium spp.; Suctoria; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1656 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-08-30
    Description: Phytoplankton, microzooplankton, copepod and dissolved nutrient data from a mesocosm experiment, which took place in summer 2016. A range of Si:N ratios and two levels of copepod grazing pressure were manipulated on a natural plankton community in Kiel Bay, Southern Baltic Sea, Germany.
    Keywords: mesocosm; nutrient ratios; Phytoplankton; silicon; stoichiometry; Zooplankton
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-08-30
    Description: Phytoplankton, microzooplankton, copepod and dissolved nutrient data from a mesocosm experiment, which took place in summer 2016. A range of Si:N ratios and two levels of copepod grazing pressure were manipulated on a natural plankton community in Kiel Bay, Southern Baltic Sea, Germany.
    Keywords: Biomass as carbon per volume; Carbon per cell; DATE/TIME; Experiment day; Functional group; Kiel_Bight_2016; Kieler Bucht; MESO; Mesocosm experiment; Mesocosm label; Plankton; Plankton, biovolume; Species; Treatment; Type; Volume
    Type: Dataset
    Format: text/tab-separated-values, 54060 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-08-30
    Description: Phytoplankton, microzooplankton, copepod and dissolved nutrient data from a mesocosm experiment, which took place in summer 2016. A range of Si:N ratios and two levels of copepod grazing pressure were manipulated on a natural plankton community in Kiel Bay, Southern Baltic Sea, Germany.
    Keywords: Acartia sp., nauplii; Copepoda; Copepoda, adult; Copepodites; DATE/TIME; Eggs; Eurytemora sp., nauplii; Experiment day; Kiel_Bight_2016; Kieler Bucht; MESO; Mesocosm experiment; Mesocosm label; Nauplii; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2023-08-30
    Description: Phytoplankton, microzooplankton, copepod and dissolved nutrient data from a mesocosm experiment, which took place in summer 2016. A range of Si:N ratios and two levels of copepod grazing pressure were manipulated on a natural plankton community in Kiel Bay, Southern Baltic Sea, Germany.
    Keywords: Bacteria; DATE/TIME; Experiment day; Kiel_Bight_2016; Kieler Bucht; MESO; Mesocosm experiment; Mesocosm label; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 900 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2023-08-30
    Description: Phytoplankton, microzooplankton, copepod and dissolved nutrient data from a mesocosm experiment, which took place in summer 2016. A range of Si:N ratios and two levels of copepod grazing pressure were manipulated on a natural plankton community in Kiel Bay, Southern Baltic Sea, Germany.
    Keywords: Ammonium; DATE/TIME; Experiment day; Kiel_Bight_2016; Kieler Bucht; MESO; Mesocosm experiment; Mesocosm label; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen, total; Phosphate; Silicate; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1980 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2023-11-02
    Description: Previous studies with Baltic Sea phytoplankton combining elevated seawater temperature with CO2 revealed the importance of size trait-based analyses, in particular dividing the plankton in-to edible (〉 5 and 〈 100 µm) and inedible (〈 5 and 〉 100 µm) size classes for mesozoopankton grazers. While the edible phytoplankton responded predominantly negative to warming and the inedible group stayed unaffected or increased, independent from edibility most phyto-plankton groups gained from CO2. Because the ratio between edible and inedible taxa changes profoundly over seasons, we investigated, if community responses can be predicted according to the prevailing composition of edible and inedible groups. We experimentally explored the combined effects of elevated temperatures and CO2 concentrations on a late-summer Baltic Sea community. Total phytoplankton significantly increased in response to elevated CO2 in particu-lar in combination with temperature, driven by a significant gain of the inedible 〈 5 µm fraction and large filamentous cyanobacteria. Large flagellates disappeared. The edible group was low as usual in summer and decreased with both factors due to enhanced copepod grazing and overall decline of small flagellates. Our results emphasize that the responses of summer communities are complex, but can be predicted by the composition and dominance of size classes and groups.
    Keywords: Baltic Sea; BIOACID; Biological Impacts of Ocean Acidification; Climate change; CO2; grazing; Phytoplankton; warming
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2023-11-02
    Description: Previous studies with Baltic Sea phytoplankton combining elevated seawater temperature with CO2 revealed the importance of size trait-based analyses, in particular dividing the plankton in-to edible (〉 5 and 〈 100 µm) and inedible (〈 5 and 〉 100 µm) size classes for mesozoopankton grazers. While the edible phytoplankton responded predominantly negative to warming and the inedible group stayed unaffected or increased, independent from edibility most phyto-plankton groups gained from CO2. Because the ratio between edible and inedible taxa changes profoundly over seasons, we investigated, if community responses can be predicted according to the prevailing composition of edible and inedible groups. We experimentally explored the combined effects of elevated temperatures and CO2 concentrations on a late-summer Baltic Sea community. Total phytoplankton significantly increased in response to elevated CO2 in particu-lar in combination with temperature, driven by a significant gain of the inedible 〈 5 µm fraction and large filamentous cyanobacteria. Large flagellates disappeared. The edible group was low as usual in summer and decreased with both factors due to enhanced copepod grazing and overall decline of small flagellates. Our results emphasize that the responses of summer communities are complex, but can be predicted by the composition and dominance of size classes and groups.
    Keywords: Baltic Sea; BIOACID; Biological Impacts of Ocean Acidification; Climate change; CO2; DATE/TIME; Day of experiment; grazing; Kiel_Bight_2014; MESO; Mesocosm experiment; Mesocosm label; Phytoplankton; Phytoplankton, biomass as carbon; warming
    Type: Dataset
    Format: text/tab-separated-values, 2304 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-03-05
    Description: A comprehensive dataset of non-native species (NNS) was assembled by combining the SInAS database of alien species occurrences (Seebens, 2021) with several other publicly available databases and NNS lists to examine NNS diversity globally (Bailey et al., 2020; Campbell et al., 2016; Carlton & Eldredge, 2009; Casties et al., 2016; Eldredge & Carlton, 2015; Hewitt et al., 2002, 2004; Lambert, 2002; Meyer, 2000; NEMESIS, 2017, 2020; Paulay et al., 2002; Richardson et al., 2020; Schwindt et al., 2020; Sturtevant et al., 2019; U.S. Geological Survey, 2017; Wonham & Carlton, 2005) to examine NNS diversity globally. The SInAS_AlienSpeciesDB_2.4.1 file was used as the base file for our dataset. Species without assignment of invaded country/region were removed from the dataset. Then, species assigned only as CASUAL and ABSENT in the columns degreeOfEstablishment (N) and occurrenceStatus (L), respectively, were also removed due to their undetermined non-native establishment status in those particular regions (Groom et al., 2019). Following, species from other publicly available databases and NNS lists that had not been listed for particular region/s in the SInAS database were added to the file. The species that were both native and NNS within a continent were retained in the dataset. Accordingly, the dataset consisted 36 822 species established outside of their native regions, out of which 36 326 came from Seebens (2021) and 496 species from other databases and NNS lists. Binominal scientific names, phylum, class, and family levels were assigned to each species based on the SInAS_AlienSpeciesDB_2.4.1_FullTaxaList file that was originally determined following Global Biodiversity Information Facility (GBIF). When a species was not automatically assigned to binominal scientific name and/or taxonomic level, an additional manual search of GBIF, World Register of Marine Species (WoRMS) and a general internet search engine was conducted in June and July 2022, and September 2023. Also, to examine NNS diversity among different habitats (i.e., terrestrial, freshwater, and marine), we assigned one or more habitats for each species based on the Step2_StandardTerms_GRIIS file; habitat data in the Step2_StandardTerms_GRIIS file originated from the Global Register of Introduced and Invasive Species (GRIIS). Again, if habitat(s) was(were) not automatically assigned to a species, an additional manual search of WoRMS and a general internet search engine was conducted from July to September 2022. We emphasize that due to the great number of species in our dataset and changing information availability over time, there is a possibility that we did not list all potential habitats for all species. Brackish habitats were defined as marine based on the Venice System (1958). Regions were assigned based on the geographic continental definitions (i.e., North America, South America, Europe, Africa, Asia, and Australia), with Pacific islands as a separate region due to their unclear/undefined continental affiliations (National Geographic Society, 2022). Finally, global estimated biodiversity (i.e., numbers of species per taxonomic group) of each particular phylum, class, and family was obtained from the GBIF in October 2022 (GBIF, 2022).
    Keywords: Area/locality; Class; Code; Family; Habitat; Identification; Phylum; Reference/source; Scientific name; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 664480 data points
    Location Call Number Limitation Availability
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