A dataset on trophic modes of aquatic protists.
aquatic protists
functional biodiversity
functional traits
mixoplankton
phytoplankton
protozooplankton
trophic mode
Journal
Biodiversity data journal
ISSN: 1314-2828
Titre abrégé: Biodivers Data J
Pays: Bulgaria
ID NLM: 101619899
Informations de publication
Date de publication:
2020
2020
Historique:
received:
20
07
2020
accepted:
08
09
2020
entrez:
12
11
2020
pubmed:
13
11
2020
medline:
13
11
2020
Statut:
epublish
Résumé
An important functional trait of organisms is their trophic mode. It determines their position within food webs, as well as their function within an ecosystem. For the better part of the 20 This paper describes a dataset that was submitted to WoRMS and links aquatic protist taxa, with a focus on marine taxa, to their AphiaID and their trophic mode. The bulk of the data used for this dataset stems from (routine) monitoring stations in the North Sea and the Baltic Sea. The data were augmented and checked against state-of-the-art knowledge on mixoplankton taxa by consulting literature and experts. Thus, this dataset provides a first attempt to make the trophic mode of aquatic protists easily accessible in both a human- and machine-readable format.
Sections du résumé
BACKGROUND
BACKGROUND
An important functional trait of organisms is their trophic mode. It determines their position within food webs, as well as their function within an ecosystem. For the better part of the 20
NEW INFORMATION
CONCLUSIONS
This paper describes a dataset that was submitted to WoRMS and links aquatic protist taxa, with a focus on marine taxa, to their AphiaID and their trophic mode. The bulk of the data used for this dataset stems from (routine) monitoring stations in the North Sea and the Baltic Sea. The data were augmented and checked against state-of-the-art knowledge on mixoplankton taxa by consulting literature and experts. Thus, this dataset provides a first attempt to make the trophic mode of aquatic protists easily accessible in both a human- and machine-readable format.
Identifiants
pubmed: 33177947
doi: 10.3897/BDJ.8.e56648
pii: 56648
pmc: PMC7599203
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e56648Informations de copyright
Lisa K. Schneider, Konstantinos Anestis, Joost Mansour, Anna A. Anschütz, Nathalie Gypens, Per J Hansen, Uwe John, Kerstin Klemm, Jon Lapeya Martin, Nikola Medic, Fabrice Not, Willem Stolte.
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