Accounting for connectivity uncertainties in predicting roadkills: a comparative approach between path selection functions and habitat suitability models.

Valerio, F., Carvalho, F., Barbosa, A.M., Mira, A. y Santos, S.M. Accounting for connectivity uncertainties in predicting roadkills: a comparative approach between path selection functions and habitat suitability models. Environmental Management. [s.l.]: Springer. 2019, Num. 3, pags. 329-343. DOI 10.1007/s00267-019-01191-6

Functional connectivity modeling is increasingly used to predict the best spatial location for over- or underpasses, to mitigate road barrier effects and wildlife roadkills. This tool requires estimation of resistance surfaces, ideally modeled with movement data, which are costly to obtain. An alternative is to use occurrence data within species distribution models to infer movement resistance, although this remains a controversial issue. This study aimed both to compare the performance of resistance surfaces derived from path versus occurrence data in identifying road-crossing locations of a forest carnivore and assess the influence of movement type (daily vs. dispersal) on this performance. Resistance surfaces were built for genet (Genetta genetta) in southern Portugal using path selection functions with telemetry data, and species distribution models with occurrence data. An independent roadkill dataset was used to evaluate the performance of each connectivity model in predicting roadkill locations. The results show that resistance surfaces derived from occurrence data are as suitable in predicting roadkills as path data for daily movements. When dispersal was simulated, the performance of both resistance surfaces was equally good at predicting roadkills. Moreover, contrary to our expectations, we found no significant differences in locations of roadkill predictions between models based on daily movements and models based on dispersal. Our results suggest that species distribution models are a cost-effective tool to build functional connectivity models for road mitigation plans when movement data are not available.

Datos y Recursos

Metadatos
Descargar
DCAT-AP/NTI-RISP

Información básica
Tipo de recurso Texto
Fecha de creación 17-09-2024
Fecha de última modificación 17-09-2024
Mostrar histórico de cambios
Identificador de los metadatos 77b1cca8-7701-5108-b198-ebd5e366cea7
Idioma de los metadatos Español
Temáticas (NTI-RISP)
Categoría del conjunto de alto valor (HVD)
Categoría temática ISO 19115 biota
Identificador alternativo
URI de palabras clave
Codificación UTF-8
Información espacial
Identificador INSPIRE ESPMITECOIEPNBFRAGM673
Temas INSPIRE
Identificador geográfico España
Sistema de Referencia de Coordenadas
Tipo de representación espacial
Extensión espacial
"{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}"
Resolución espacial del dataset (m)
Procedencia
Declaración de linaje
Perfil de Metadatos
Conformidad
Conjunto de datos de origen
Frecuencia de actualización
Fuentes
  1. Environmental Management
  2. Num. 3
  3. pags. 329-343
Propósito
Pasos del proceso
Cobertura temporal (Inicio)
Cobertura temporal (Fin)
Notas sobre la versión
Versión
Vigencia del conjunto de datos
Parte responsable
Nombre del autor Valerio, F., Carvalho, F., Barbosa, A.M., Mira, A. y Santos, S.M.
Nombre del mantenedor
Identificador del autor
Email del autor
Web del autor
Identificador del mantenedor
Email del mantenedor
Web del mantenedor