Predictors of Vibrio vulnificus occurrence
a machine learning approach
Riedinger, David
1996-
VerfasserIn
aut
Labrenz, Matthias
1966-
AkademischeR BetreuerIn
dgs
Scholz, Holger
AkademischeR BetreuerIn
dgs
Universität Rostock
Grad-verleihende Institution
dgg
Universität Rostock
Mathematisch-Naturwissenschaftliche Fakultät
Grad-verleihende Institution
dgg
text
theses
Text
Hochschulschrift
gw
2024
monographic
XA-DE
Rostock
Universität Rostock
publisher
2024
Rostock
Universitätsbibliothek Rostock
distributor
eng
application/pdf
1 Online-Ressource (170 Seiten) Illustrationen, Diagramme, Karten
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>
Open Access
Urheberrechtsschutz 1.0
vorgelegt von David Jeroen Riedinger
Enthält Zeitschriftenartikel
GutachterInnen: Matthias Labrenz (Leibniz-Institut für Ostseeforschung Warnemünde) ; Holger Scholz (Robert Koch Institut)
Dissertation Universität Rostock 2024 Kumulative Dissertation
550
570
571.9
570
https://purl.uni-rostock.de/rosdok/id00005322
https://doi.org/10.18453/rosdok_id00005322
https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005322-6
https://d-nb.info/1397495162/34
Predictors of Vibrio vulnificus occurrence
Rostock : Universität Rostock, 2024
Druck-Ausgabe
(DE-627)1968856072
Riedinger, David, 1996 -
urn:nbn:de:gbv:28-rosdok_id00005322-6
10.18453/rosdok_id00005322
1586340004
rda
DE-627
260416
1968855432
20260506T222547.0
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