Modelling viral impact on bacterioplankton in the North Sea using artificial neural networks

Author(s)
C Winter, A Smit, T Szoeke-Denes, GJ Herndl, MG Weinbauer
Organisation(s)
Functional and Evolutionary Ecology
External organisation(s)
Royal Netherlands Institute for Sea Research, Laboratoire d’Océanographie de Villefranche-sur-Mer (LOV), CNRS‐UPMC UMR 7093
Journal
Environmental Microbiology
Volume
7
Pages
881-893
No. of pages
13
ISSN
1462-2912
DOI
https://doi.org/10.1111/j.1462-2920.2005.00768.x
Publication date
06-2005
Peer reviewed
Yes
Austrian Fields of Science 2012
106021 Marine biology
Keywords
Sustainable Development Goals
SDG 14 - Life Below Water
Portal url
https://ucris.univie.ac.at/portal/en/publications/modelling-viral-impact-on-bacterioplankton-in-the-north-sea-using-artificial-neural-networks(5ba68c22-fc4b-4eda-91d2-a307588d4907).html