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.

Common vole dense-dependence drivers population dynamics spatio-temporal fluctuations weather modulation

Journal

Pest management science
ISSN: 1526-4998
Titre abrégé: Pest Manag Sci
Pays: England
ID NLM: 100898744

Informations de publication

Date de publication:
28 Dec 2023
Historique:
revised: 21 12 2023
received: 31 08 2023
accepted: 26 12 2023
medline: 28 12 2023
pubmed: 28 12 2023
entrez: 28 12 2023
Statut: aheadofprint

Résumé

The common vole 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 structure of population dynamics and determine if there is direct or delayed density-dependence. An evaluation of climatic variables followed, to define if they influenced vole population peaks. First and second-order outbreak dynamics were detected in 7 and 33 study sites, respectively, together with variability in periodicity in the second order (2-3 to 4-5-year cycles). Vole population growth was explained by previous year abundances (mainly summer and spring numbers) in 21 of the sites (52.5%), by weather variables in 11 sites (27.5%; precipitation or temperature in 6 and 5 sites, respectively), and by a combination of previous abundances and weather variables in 8 sites (20%). 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 modulating factors of vole fluctuations. Most vole populations were cyclical, with variable periodicity across the region. Our study is a first step towards the development of predictive modelling, by disclosing relevant factors that might trigger vole outbreaks. It improves decision-making processes within integrated management dealing with mitigation of agricultural impacts caused by voles. This article is protected by copyright. All rights reserved.

Sections du résumé

BACKGROUND BACKGROUND
The common vole 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 structure of population dynamics and determine if there is direct or delayed density-dependence. An evaluation of climatic variables followed, to define if they influenced vole population peaks.
RESULTS RESULTS
First and second-order outbreak dynamics were detected in 7 and 33 study sites, respectively, together with variability in periodicity in the second order (2-3 to 4-5-year cycles). Vole population growth was explained by previous year abundances (mainly summer and spring numbers) in 21 of the sites (52.5%), by weather variables in 11 sites (27.5%; precipitation or temperature in 6 and 5 sites, respectively), and by a combination of previous abundances and weather variables in 8 sites (20%).
CONCLUSIONS 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 modulating factors of vole fluctuations. Most vole populations were cyclical, with variable periodicity across the region. Our study is a first step towards the development of predictive modelling, by disclosing relevant factors that might trigger vole outbreaks. It improves decision-making processes within integrated management dealing with mitigation of agricultural impacts caused by voles. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38153883
doi: 10.1002/ps.7954
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Society of Chemical Industry.

Auteurs

Constantino Caminero-Saldaña (C)

Instituto Tecnológico Agrario de Castilla y León (ITACyL), Observatorio de Plagas y Enfermedades Agrícolas, Spain.

Jennifer Paola Correa-Cuadros (JP)

Pontificia Universidad Católica de Chile, Facultad de Ciencias Biológicas, Departamento de Ecología, Chile.
Center of Applied Ecology and Sustainability (CAPES), Chile.

Ana Baños-Herrero (A)

Instituto Tecnológico Agrario de Castilla y León (ITACyL), Observatorio de Plagas y Enfermedades Agrícolas, Spain.

Carlos Riquelme (C)

Pontificia Universidad Católica de Chile, Facultad de Ciencias Biológicas, Departamento de Ecología, Chile.
Center of Applied Ecology and Sustainability (CAPES), Chile.

Yesica Pallavicini (Y)

Instituto Tecnológico Agrario de Castilla y León (ITACyL), Observatorio de Plagas y Enfermedades Agrícolas, Spain.

Mercedes Fernández-Villán (M)

Instituto Tecnológico Agrario de Castilla y León (ITACyL), Observatorio de Plagas y Enfermedades Agrícolas, Spain.

Javier Plaza (J)

Facultad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Spain.

Rodrigo Pérez Sánchez (R)

Facultad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Spain.

Nilda Sánchez (N)

Facultad de Ciencias Agrarias y Ambientales, Universidad de Salamanca, Spain.

François Mougeot (F)

Instituto de Investigación en Recursos Cinegéticos, IREC (CSIC-UCLM-JCCM), Spain.

Juan José Luque-Larena (JJ)

Departamento de Ciencias Agroforestales (Zoología), ETSIIAA, Universidad de Valladolid, Spain.
Instituto Universitario de Investigación en Gestión Forestal Sostenible (iuFOR), Spain.

Fabián M Jaksic (FM)

Pontificia Universidad Católica de Chile, Facultad de Ciencias Biológicas, Departamento de Ecología, Chile.
Center of Applied Ecology and Sustainability (CAPES), Chile.

María Carmen García-Ariza (MC)

Instituto Tecnológico Agrario de Castilla y León (ITACyL), Observatorio de Plagas y Enfermedades Agrícolas, Spain.

Classifications MeSH