作者: Mirjana Bevanda , Ned Horning , Bjoern Reineking , Marco Heurich , Martin Wegmann
DOI: 10.1186/S40462-014-0026-1
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摘要: Background Linking animal movements to landscape features is critical identify factors that shape the spatial behaviour of animals. Habitat selection led by behavioural decisions and shaped environment, therefore crucial for analysis. Land cover classification based on ground survey remote sensing data sets are an established approach define landscapes habitat analysis. We investigate analysing use using continuous land information metrics. This uses a representation percentage chosen type instead discrete classes. approach, fractional cover, captures heterogeneity within classes capable provide more distinct landscape. The variation in home range sizes analysed metrics conjunction with mixed effect models red deer position Bohemian Forest, compared over multiple spatio–temporal scales.