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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)
    Caminero Saldaña, Constantino
    Correa Cuadros, Jennifer Paola
    Baños Herrero, Ana
    Riquelme, Carlos
    Pallavicini, Yesica
    Fernández Villán, Mercedes
    Plaza Martín, JavierUSAL authority ORCID
    Pérez Sánchez, RodrigoUSAL authority ORCID
    Sánchez Martín, NildaUSAL authority ORCID
    Mougeot, François
    Luque Larena, Juan José
    Jaksic, Fabián M
    García Ariza, Carmen
    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
    https://hdl.handle.net/10366/163124
    ISSN
    1526-498X
    DOI
    10.1002/PS.7954
    Versión del editor
    https://doi.org/10.1002/ps.7954
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    • DICT. Artículos del Departamento de Ingeniería Cartográfica y del Terreno [180]
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