BACKGROUND: Central European outbreak populations of the bank vole (Myodes glareolus Schreber) are known to cause damage in forestry and to transmit the most common type of Hantavirus (Puumala virus, PUUV) to humans. A sound estimation of potential effects of future climate scenarios on population dynamics is a prerequisite for long-term management strategies. Historic abundance time series were used to identify the key weather conditions associated with bank vole abundance, and were extrapolated to future climate scenarios to derive potential long-term changes in bank vole abundance dynamics. RESULTS: Classification and regression tree analysis revealed the most relevant weather parameters associated with high and low bank vole abundances. Summer temperatures 2 years prior to trapping had the highest impact on abundance fluctuation. Extrapolation of the identified parameters to future climate conditions revealed an increase in years with high vole abundance. CONCLUSION: Key weather patterns associated with vole abundance reflect the importance of superabundant food supply through masting to the occurrence of bank vole outbreaks. Owing to changing climate, these outbreaks are predicted potentially to increase in frequency 3-4-fold by the end of this century. This may negatively affect damage patterns in forestry and the risk of human PUUV infection in the long term.
BACKGROUND: Central European outbreak populations of the bank vole (Myodes glareolus Schreber) are known to cause damage in forestry and to transmit the most common type of Hantavirus (Puumala virus, PUUV) to humans. A sound estimation of potential effects of future climate scenarios on population dynamics is a prerequisite for long-term management strategies. Historic abundance time series were used to identify the key weather conditions associated with bank vole abundance, and were extrapolated to future climate scenarios to derive potential long-term changes in bank vole abundance dynamics. RESULTS: Classification and regression tree analysis revealed the most relevant weather parameters associated with high and low bank vole abundances. Summer temperatures 2 years prior to trapping had the highest impact on abundance fluctuation. Extrapolation of the identified parameters to future climate conditions revealed an increase in years with high vole abundance. CONCLUSION: Key weather patterns associated with vole abundance reflect the importance of superabundant food supply through masting to the occurrence of bank vole outbreaks. Owing to changing climate, these outbreaks are predicted potentially to increase in frequency 3-4-fold by the end of this century. This may negatively affect damage patterns in forestry and the risk of humanPUUV infection in the long term.
Authors: Rafał Zwolak; Dale Clement; Andrew Sih; Sebastian J Schreiber Journal: Philos Trans R Soc Lond B Biol Sci Date: 2021-10-18 Impact factor: 6.237
Authors: D Reil; C Imholt; U M Rosenfeld; S Drewes; S Fischer; E Heuser; R Petraityte-Burneikiene; R G Ulrich; J Jacob Journal: Epidemiol Infect Date: 2016-11-03 Impact factor: 4.434
Authors: Daniela Reil; Ulrike M Rosenfeld; Christian Imholt; Sabrina Schmidt; Rainer G Ulrich; Jana A Eccard; Jens Jacob Journal: BMC Ecol Date: 2017-02-28 Impact factor: 2.964
Authors: Sophie O Vanwambeke; Caroline B Zeimes; Stephan Drewes; Rainer G Ulrich; Daniela Reil; Jens Jacob Journal: Sci Rep Date: 2019-02-20 Impact factor: 4.379
Authors: Jeremy V Camp; Briana Spruill-Harrell; Robert D Owen; Carles Solà-Riera; Evan P Williams; Gillian Eastwood; Aubrey M Sawyer; Colleen B Jonsson Journal: Viruses Date: 2021-01-09 Impact factor: 5.048
Authors: Harry P Andreassen; Janne Sundell; Fraucke Ecke; Stefan Halle; Marko Haapakoski; Heikki Henttonen; Otso Huitu; Jens Jacob; Kaja Johnsen; Esa Koskela; Juan Jose Luque-Larena; Nicolas Lecomte; Herwig Leirs; Joachim Mariën; Magne Neby; Osmo Rätti; Thorbjörn Sievert; Grant R Singleton; Joannes van Cann; Bram Vanden Broecke; Hannu Ylönen Journal: Oecologia Date: 2020-12-28 Impact factor: 3.225