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Changes of movement patterns from early dispersal to settlement
Authors:María del Mar Delgado  Vincenzo Penteriani  Vilis O. Nams  Letizia Campioni
Affiliation:1.Laboratory of Ecological and Evolutionary Dynamics, Department of Biological and Environmental Sciences,University of Helsinki,Helsinki,Finland;2.Department of Conservation Biology, Estación Biológica de Do?ana,C.S.I.C.,Seville,Spain;3.Finnish Museum of Natural History, Zoological Museum, Vertebrate Division,University of Helsinki,Helsinki,Finland;4.Department of Environmental Sciences,Nova Scotia Agricultural College,Truro,Canada
Abstract:Moving and spatial learning are two intertwined processes: (a) changes in movement behavior determine the learning of the spatial environment, and (b) information plays a crucial role in several animal decision-making processes like movement decisions. A useful way to explore the interactions between movement decisions and learning of the spatial environment is by comparing individual behaviors during the different phases of natal dispersal (when individuals move across more or less unknown habitats) with movements and choices of breeders (who repeatedly move within fixed home ranges), that is, by comparing behaviors between individuals who are still acquiring information vs. individuals with a more complete knowledge of their surroundings. When analyzing movement patterns of eagle owls, Bubo bubo, belonging to three status classes (floaters wandering across unknown environments, floaters already settled in temporary settlement areas, and territory owners with a well-established home range), we found that: (1) wandering individuals move faster than when established in a more stable or fixed settlement area, traveling larger and straighter paths with longer move steps; and (2) when floaters settle in a permanent area, then they show movement behavior similar to territory owners. Thus, movement patterns show a transition from exploratory strategies, when animals have incomplete environmental information, to a more familiar way to exploit their activity areas as they get to know the environment better.
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