TY  - JOUR
A1  - Reil, Daniela
A1  - Rosenfeld, Ulrike M.
A1  - Imholt, Christian
A1  - Schmidt, Sabrina
A1  - Ulrich, Rainer G.
A1  - Eccard, Jana
A1  - Jacob, Jens
T1  - Puumala hantavirus infections in bank vole populations
BT  - host and virus dynamics in Central Europe
JF  - BMC ecology
N2  - Background

In Europe, bank voles (Myodes glareolus) are widely distributed and can transmit Puumala virus (PUUV) to humans, which causes a mild to moderate form of haemorrhagic fever with renal syndrome, called nephropathia epidemica. Uncovering the link between host and virus dynamics can help to prevent human PUUV infections in the future. Bank voles were live trapped three times a year in 2010–2013 in three woodland plots in each of four regions in Germany. Bank vole population density was estimated and blood samples collected to detect PUUV specific antibodies.

Results

We demonstrated that fluctuation of PUUV seroprevalence is dependent not only on multi-annual but also on seasonal dynamics of rodent host abundance. Moreover, PUUV infection might affect host fitness, because seropositive individuals survived better from spring to summer than uninfected bank voles. Individual space use was independent of PUUV infections.

Conclusions

Our study provides robust estimations of relevant patterns and processes of the dynamics of PUUV and its rodent host in Central Europe, which are highly important for the future development of predictive models for human hantavirus infection risk
KW  - Myodes glareolus
KW  - Population dynamics
KW  - Puumala virus seroprevalence
KW  - Space use
KW  - Survival
Y1  - 2017
U6  - https://doi.org/10.1186/s12898-017-0118-z
SN  - 1472-6785
VL  - 17
PB  - BioMed Central
CY  - London
ER  - 
TY  - JOUR
A1  - Emary, Clive
A1  - Malchow, Anne-Kathleen
T1  - Stability-instability transition in tripartite merged ecological networks
JF  - Journal of mathematical biology
N2  - Although ecological networks are typically constructed based on a single type of interaction, e.g. trophic interactions in a food web, a more complete picture of ecosystem composition and functioning arises from merging networks of multiple interaction types. In this work, we consider tripartite networks constructed by merging two bipartite networks, one mutualistic and one antagonistic. Taking the interactions within each sub-network to be distributed randomly, we consider the stability of the dynamics of the network based on the spectrum of its community matrix. In the asymptotic limit of a large number of species, we show that the spectrum undergoes an eigenvalue phase transition, which leads to an abrupt destabilisation of the network as the ratio of mutualists to antagonists is increased. We also derive results that show how this transition is manifest in networks of finite size, as well as when disorder is introduced in the segregation of the two interaction types. Our random-matrix results will serve as a baseline for understanding the behaviour of merged networks with more realistic structures and/or more detailed dynamics.
KW  - Random matrices
KW  - Phase transition
KW  - Random eigenvalues
KW  - Population dynamics
KW  - Community matrix
KW  - Ecological network
Y1  - 2022
U6  - https://doi.org/10.1007/s00285-022-01783-7
SN  - 0303-6812
SN  - 1432-1416
VL  - 85
IS  - 3
PB  - Springer
CY  - Heidelberg
ER  -