Can we model distribution of population abundance from wildlife–vehicles collision data?

Reliable estimates of the distribution of species abundance are a key element in wildlife studies, but such information is usually difficult to obtain for large spatial or long temporal scales. Wildlife–vehicle collision (WVC) data is systematically registered in many countries and could be used as a proxy of population abundance if the number of WVC in each territory increase with the population abundance. However, factors such as road density or human population should be controlled to obtain accurate abundance estimations from WVC data. Here, we propose a hierarchical modeling approach using the Royle–Nichols model for detection–non-detection data to obtain population abundance indices from WVC. Relative abundance and individual detectability were modeled for two species, wild boar Sus scrofa and roe deer Capreolus capreolus at 10 × 10 km cells in mainland Spain from WVC data using environmental, anthropological and temporal covariates. For each cell, a detection was annotated if at least one WVC was recorded at each month (used as survey occasion). The predicted abundance indices were compared with raw hunting statistics at region level to assess the performance of the modeling approach. Site specific covariates such as road density or administrative region and the month of the year, affected individual detectability, with higher WVC probability between October and December for wild boar and between April and July for roe deer. Wild boar and roe deer abundance can be explained by both, bioclimatic and land cover covariates. Abundance indices obtained from WVC data were significantly positively correlated with regional raw hunting yields for both species. We presented empirical evidence supporting that accurate wildlife abundance indices at fine spatial resolution can be generated from WVC data when individual detectability is considered in the modeling process.

Datos y Recursos

Cite como

Fernández-López J. Blanco‐Aguiar J.A. Vicente J. y Acevedo P. Can we model distribution of population abundance from wildlife–vehicles collision data?. Nordic Society Oikos, 2022. https://doi.org/10.1111/ecog.06113

Clipboard Icon
Recuperado: 10 Nov 2025 21:53:52
RIS BibTeX

Metadatos
Descargar
DCAT-AP/NTI-RISP

Información básica
Tipo de recurso Texto
Fecha de creación 23-05-2025
Fecha de última modificación 23-05-2025
Mostrar histórico de cambios
Identificador de los metadatos a4c6c3cd-c65a-58b9-8a1c-326013b92ebd
Idioma de los metadatos Español
Temáticas (NTI-RISP)
Categoría del conjunto de alto valor (HVD)
Categoría temática ISO 19115 biota
URI de palabras clave
Información bibliográfica
Nombre del autor Fernández-López, J., Blanco‐Aguiar, J.A., Vicente, J. y Acevedo, P.
Nombre del editor Nordic Society Oikos
Identificador alternativo DOI: 10.1111/ecog.06113
Identificador del autor
Email del autor
Web del autor
Procedencia
Declaración de linaje
Perfil de Metadatos
Notas sobre la versión
Versión