Click a tag to remove it from package
Date | DOI | PackageId | Note |
---|---|---|---|
2024-05-13 | 10.18728/igb-fred-879.0 | 879 | this package latest |
Due to climate change, temperate lakes receive increasing amounts of terrestrial run-off with coloured dissolved organic matter (cDOM) and inorganic nutrients. However, these events are irregular and planktonic communities must cope with temporally variable resources. Run-off reduces the light availability, which together with carbon, promotes bacterial growth, and stimulates mixotrophic nanoflagellates, capable of both phototrophy and phagotrophy. We studied the effects of run-off variability on the trophic strategy of nanoflagellates in a mesocosm experiment at the SITES AquaNet facility in Lake Erken, Sweden, by adding the same total amount of cDOM and inorganic nutrients in all treatments (except in the unamended Control) at different frequency and intensity (Daily, Extreme, Intermittent). Using incubation experiments with fluorescently labelled bacteria we examined the response of photo-, mixo- and heterotrophic nanoflagellates at three time points (start, middle, end). Here we present the resulting dataset with abundance and calculated biovolume for the three trophic groups, as well as calculated ingestion and community grazing rates for mixo- and heterotrophs. Lastly, we report on the abundance of heterotrophic bacteria and cyanobacteria.
biology:
functional group:
Title | Upload date | Filetype | Licence | Actions |
---|---|---|---|---|
README.pdf | 13. May. 2024 14:01 | ODC-By | Download |
Title | created | Filetype | Actions |
---|---|---|---|
nanoflagellate_trophic_data.csv | 13. May. 2024 12:29 | datatable: .csv | Download |
FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the freeODC-ByLicence.
You are about to leaving FRED and visting a third party website. We are not responsible for the content or availability of linked sites.
To remain on our site, click Cancel.
Estimated Time:
While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.