Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/271716
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Linking landscape structure and vegetation productivity with nut consumption by the Cantabrian brown bear during hyperphagia |
Autor: | Pérez-Girón, José Carlos; Díaz-Varela, Emilio Rafael; Álvarez-Álvarez, P.; Hernández-Palacios, Orencio; Ballesteros, Fernando; López-Bao, José V. CSIC ORCID | Palabras clave: | Brown bear Hyperphagia Dynamic habitat index Landscape pattern Habitat modelling |
Fecha de publicación: | 20-mar-2022 | Editor: | Elsevier | Citación: | Science of the Total Environment 813: 152610 (2022) | Resumen: | In bears, reproduction is dependent on the body reserves accumulated during hyperphagia. The Cantabrian brown bear mainly feeds on nuts during the hyperphagia period. Understanding how landscape heterogeneity and vegetation productivity in human-dominated landscapes influence the feeding habits of bears may therefore be important for disentangling species-habitat relationships of conservation interest. We determined the spatial patterns of nut consumption by brown bears during the hyperphagia period in relation to landscape structure, characteristics of fruit-producing patches and vegetation productivity. For this purpose, we constructed foraging models based on nut consumption data (obtained by scat analysis), by combining vegetation productivity data, topographical variables and landscape metrics to identify nut foraging patterns during this critical period for bears. The average wooded area of patches where scats were collected and where the nuts that the bears had consumed were produced was larger than that of the corresponding patches where nuts were not produced. For scats collected outside of nut-producing patches, the distance between the scats and the patches was greatest for chestnut-producing patches. Elevation, Gross Primary Production (GPP) and the Aggregation Index (AI) were good predictors of acorn consumption in the models. Good model fits were not obtained for data on chestnut consumption in bears. The findings confirm that brown bears feeding on nuts show a preference for relatively large, highly aggregated patches with a high degree of diversity in the landscape pattern, which may help the bears to remain undetected. The nut prediction model highlights areas of particular importance for brown bears during hyperphagia. The human presence associated with sweet chestnut forest stands or orchards may make bears feel more vulnerable when feeding. | Versión del editor: | http://doi.org/10.1016/j.scitotenv.2021.152610 | URI: | http://hdl.handle.net/10261/271716 | DOI: | 10.1016/j.scitotenv.2021.152610 | Identificadores: | doi: 10.1016/j.scitotenv.2021.152610 issn: 1879-1026 |
Aparece en las colecciones: | (IMIB) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Linking_landscape_structure_n_vegetation_brown_bear.pdf | 2,69 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
1
checked on 29-abr-2024
WEB OF SCIENCETM
Citations
1
checked on 23-feb-2024
Page view(s)
39
checked on 03-may-2024
Download(s)
104
checked on 03-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons