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| Titel |
An epidemic model for the interactions between thermal regime of rivers and transmission of Proliferative Kidney Disease in salmonid fish |
| VerfasserIn |
Luca Carraro, Enrico Bertuzzo, Lorenzo Mari, Marino Gatto, Nicole Strepparava, Hanna Hartikainen, Andrea Rinaldo |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109004
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| Publikation (Nr.) |
 EGU/EGU2015-8858.pdf |
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| Zusammenfassung |
| Proliferative kidney disease (PKD) affects salmonid populations in European and
North-American rivers. It is caused by the endoparasitic myxozoan Tetracapsuloides
bryosalmonae, which exploits freshwater bryozoans (Fredericella sultana) and salmonids as
primary and secondary hosts, respectively. Incidence and mortality, which can reach
up to 90-100%, are known to be strongly related to water temperature. PKD has
been present in brown trout population for a long time but has recently increased
rapidly in incidence and severity causing a decline in fish catches in many countries.
In addition, environmental changes are feared to cause PKD outbreaks at higher
latitude and altitude regions as warmer temperatures promote disease development.
This calls for a better comprehension of the interactions between disease dynamics
and the thermal regime of rivers, in order to possibly devise strategies for disease
management.
In this perspective, a spatially explicit model of PKD epidemiology in riverine host
metacommunities is proposed. The model aims at summarizing the knowledge on the modes
of transmission of the disease and the life-cycle of the parasite, making the connection
between temperature and epidemiological parameters explicit. The model accounts for both
local population and disease dynamics of bryozoans and fish and hydrodynamic
dispersion of the parasite spores and hosts along the river network. The model is
time-hybrid, coupling inter-seasonal and intra-seasonal dynamics, the former being
described in a continuous time domain, the latter seen as time steps of a discrete
time domain. In order to test the model, a case study is conducted in river Wigger
(Cantons of Aargau and Lucerne, Switzerland), where data about water temperature,
brown trout and bryozoan populations and PKD prevalence are being collected. |
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