Landscape connectivity estimates are affected by spatial resolution, habitat seasonality and population trends.

Connectivity assessments and corridor delineation are key contributions to landscape management and biodiversity conservation. We examined the influence of three potentially crucial factors on the results of connectivity analyses, using the two subpopulations of the endangered brown bear in the Cantabrian Range (NW Spain) as a case study. First, we evaluated the spatial resolution of vegetation data, using three types of datasets ranging from coarse resolution land-cover maps to high-resolution LiDAR data. Second, the seasonal variation in the distribution of habitat resources and in the species use of the landscape. Third, multi-annual periods with different population status. The estimates of subpopulation isolation (effective distances) and the trajectory of the identified corridors were substantially influenced by (i) the spatial resolution of vegetation data; the more robust results were obtained when incorporating fine-scale LiDAR data; (ii) the season over which species occurrence data and landscape characteristics were considered; the spring mating season yielded higher connectivity estimates than any other season; (iii) the status of the populations, with higher landscape connectivity estimated for expanding populations. Our study reveals that the use of coarse-resolution data may underestimate the resistance of the non-habitat landscape matrix to species movements. The use of year-round estimates of habitat connectivity may miss the key seasonal temporal windows for species movements. Landscape resistance may be overestimated when data from periods with declining or restricted populations are used. We recommend carefully disentangling the effects of demography and landscape heterogeneity on realized species dispersal movements for improving the insights from connectivity modelling.

Datos y Recursos

Cite como

Ciudad C. Mateo-Sánchez M.C. Gastón A. Blázquez-Cabrera S. y Saura S. Landscape connectivity estimates are affected by spatial resolution habitat seasonality and population trends. Springer, 2021. https://doi.org/10.1007/s10531-021-02148-0

Clipboard Icon
Recuperado: 10 Nov 2025 09:00:20
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 de8fb7ec-c486-507a-8699-a695f5449005
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 Ciudad, C., Mateo-Sánchez, M.C., Gastón, A., Blázquez-Cabrera, S. y Saura, S.
Nombre del editor Springer
Identificador alternativo DOI: 10.1007/s10531-021-02148-0
Identificador del autor
Email del autor
Web del autor
Procedencia
Declaración de linaje
Perfil de Metadatos
Notas sobre la versión
Versión