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Título
Exploring the influence of density‐dependence and weather on the spatial and temporal variation in common vole (Microtus arvalis) abundance in Castilla y León, NW Spain
Autor(es)
Palabras clave
Common vole
Dense-dependence drivers
Population dynamics
Spatiotemporal fluctuations
Weather modulation
Topillo campesino
Clima
Clasificación UNESCO
3308.08 Tecnología del Control de Roedores
2502.02 Climatología Aplicada
Fecha de publicación
2024
Editor
Wiley
Citación
Caminero-Saldaña, C., Correa-Cuadros, J. P., Baños-Herrero, A., Riquelme, C., Pallavicini, Y., Fernández-Villán, M., Plaza, J., Pérez-Sánchez, R., Sánchez, N., Mougeot, F., Luque-Larena, J. J., Jaksic, F. M. & García-Ariza, M. C. (2024). Exploring the influence of density-dependence and weather on the spatial and temporal variation in common vole (Microtus arvalis) abundance in Castilla y León, NW Spain. Pest Management Science, 80(11), 5527-5536. https://doi.org/10.1002/PS.7954
Resumen
[EN] BACKGROUND: The common vole has invaded the agroecosystems of northwestern Spain, where outbreaks cause important
crop damage and management costs. Little is yet known about the factors causing or modulating vole fluctuations. Here, we
used 11 years of vole abundance monitoring data in 40 sites to study density-dependence and weather influence on vole
dynamics. Our objective was to identify the population dynamics structure and determine whether there is direct or delayed
density-dependence. An evaluation of climatic variables followed, to determine whether they influenced vole population
peaks.
RESULTS: First- and second-order outbreak dynamics were detected at 7 and 33 study sites, respectively, together with secondorder
variability in periodicity (2–3 to 4–5-year cycles). Vole population growth was explained by previous year abundance
(mainly numbers in summer and spring) at 21 of the sites (52.5%), by weather variables at 11 sites (27.5%; precipitation or temperature
in six and five sites, respectively), and by a combination of previous abundance and weather variables in eight
sites (20%).
CONCLUSIONS: We detected variability in vole spatiotemporal abundance dynamics, which differs in cyclicity and period. We
also found regional variation in the relative importance of previous abundances and weather as factors modulating vole fluctuations.
Most vole populations were cyclical, with variable periodicity across the region. Our study is a first step towards the
development of predictive modeling, by disclosing relevant factors that might trigger vole outbreaks. It improves decisionmaking
processes within integrated management dealing with mitigation of the agricultural impacts caused by voles.
URI
ISSN
1526-498X
DOI
10.1002/PS.7954
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