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Descripción
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| Spatial resolution of environmental data may influence the results of habitat selection models. As high-resolution data are usually expensive, an assessment of their contribution to the reliability of habitat selection models should be of interest for both researchers and managers. We tackle this question by making use of a large dataset of about 8,000 brown bear presence records in the Cantabrian Range (NW Spain) where the last native bear populations in the Iberian Peninsula remain. We evaluate how different data on forest cover influence the inferences and predictive power of multi-scale habitat selection models for brown bears. We quantify the relative performance of three types of data on forest cover: (i) coarse resolution data from Corine Land Cover (minimum mapping unit of 25 ha), (ii) medium resolution data from the Spanish Forest Map (minimum mapping unit of 2.5 ha and more detailed information on forest composition and structure), and (iii) high-resolution Lidar data (about 0.5 points/m2 ), providing much finer information on forest canopy cover and height. We discuss the reasons that may affect the added value of highresolution data for explaining habitat selection by forest species, particularly those with broad spatial requirements like brown bears. | |
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Internacional
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Si |
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Nombre congreso
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IUFRO Landscape Ecology Working Group Conference, 2015 |
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Tipo de participación
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960 |
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Lugar del congreso
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Tartu, Estonia |
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Revisores
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Si |
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ISBN o ISSN
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978-9949-9715-0-3 |
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DOI
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Fecha inicio congreso
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23/08/2015 |
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Fecha fin congreso
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30/08/2015 |
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Desde la página
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65 |
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Hasta la página
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65 |
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Título de las actas
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Sustaining ecosystem services in forest landscapes |