TY  - BOOK
AU  - Riedinger, David
PY  - 2024
DA  - 2024//
TI  - Predictors of Vibrio vulnificus occurrence: a machine learning approach
PB  - Universität Rostock
CY  - Rostock
AB  - Vibrio vulnificus, a deadly marine bacterium, is expanding due to climate change, warming waters, and eutrophication in estuarine environments. This thesis analyzes its spread using global 16S rRNA data and machine learning models, identifying temperature, salinity, and chlorophyll a as key predictors. A rapid, affordable detection method was developed. In the Baltic Sea, eutrophication stimulates V. vulnificus more than seagrass suppresses it. Reducing nutrient-driven blooms may be key to limiting its growth worldwide.<eng>
UR  - https://purl.uni-rostock.de/rosdok/id00005322
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005322-6
UR  - https://d-nb.info/1397495162/34
UR  - https://doi.org/10.18453/rosdok_id00005322
DO  - 10.18453/rosdok_id00005322
LA  - English
N1  - vorgelegt von David Jeroen Riedinger
ID  - 1968855432
ER  -