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Title: Influence of the physical environment and conspecific aggression on the spatial arrangement of breeding grey seals
Authors: Harris, Catriona M
Matthiopoulos, Jason
Harwood, John
Keywords: Generalized additive models
Habitat suitability
Individual-based model
Pupping site selection
Spatial and temporal simulation modelling
Site fidelity
Relating poulations
Landscape patterns
QL Zoology
QH301 Biology
Issue Date: Dec-2007
Citation: Harris , C M , Matthiopoulos , J & Harwood , J 2007 , ' Influence of the physical environment and conspecific aggression on the spatial arrangement of breeding grey seals ' Ecological Informatics , vol 2 , no. 4 , pp. 308-317 . , 10.1016/j.ecoinf.2007.09.001
Abstract: Understanding the habitat requirements of a species for breeding is essential for its conservation, particularly if the availability of suitable habitat is a limiting factor for population growth. This is postulated to be the case for grey seals, one of the more abundant marine apex predators in northern European waters. In common with similar studies that have investigated the habitat preferences of breeding grey seals, we use abiotic (topographical, climatological) attributes but, unlike previous work, we also incorporate behavioural variables, particularly the occurrence of aggressive interactions between females and the presence of neighbouring seals. We used two Generalized Additive Models (GAM) in a sequential and iterative fashion. The first model links the occurrence of aggression at particular points in the colony to local topography derived from a Geographical Information System (GIS), presence of neighbouring seal pups and the day of the breeding season. The output of this GAM is used as one of the explanatory variables in a GAM of daily variation in the spatial distribution of births. Although proximity of a birth site to a water source and the presence of neighbouring seal pups both had significant influences on the distribution of newborn pups over time and space, at the scale of the study site it was found that simple rules could predict pup distribution more efficiently than a complex individual-based simulation model. (c) 2007 Elsevier B.V. All rights reserved.
Version: Postprint
Status: Peer reviewed
ISSN: 1574-9541
Type: Journal article
Rights: This is an author version of the article. The published version, (c)2010 Elsevier is available from
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Biology Research

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