Habitat and population modelling of roe deer using an interactive geographic information system |
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| Institution: | 1. Czech Society for Ornithology, Na Bělidle 34, CZ-15000 Prague 5, Czech Republic;2. Royal Society for the Protection of Birds, The Lodge, Potton Road, Sandy, SG19 2DL, UK;3. Centre for Biodiversity & Environment Research, University College London, Bloomsbury, London WC1H 0AG, UK;4. Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland;5. European Bird Census Council, P.O. Box 6521, 6503, GA, Nijmegen, the Netherlands;6. Catalan Ornithological Institute, Natural History Museum of Barcelona, Pl. Leonardo da Vinci 4-5, 08019 Barcelona, Catalonia, Spain;7. Department of Biology, Lund University, Ecology Building, S-223 62 Lund, Sweden;8. Wetlands International, P.O. Box 471, 6700 AL Wageningen, the Netherlands;9. BirdLife International, The David Attenborough Building, Pembroke Street, Cambridge CB2 3QZ, UK;10. British Trust for Ornithology, Thetford, Norfolk IP24 2PU, UK |
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| Abstract: | Management of German roe deer (Capreolus capreolus) populations is a challenge for wildlife managers and foresters because population densities are difficult to estimate in forests and forest regeneration can be negatively affected when roe deer density is high. We describe a model to determine deer population densities compatible with forest management goals, and to assess harvest rates necessary to maintain desired deer densities. A geographic information system (GIS) was used to model wildlife habitat and population dynamics over time. Our model interactively incorporates knowledge of field biologists and foresters via a graphical user interface (GUI). Calibration of the model with deer damage maps allowed us to evaluate density dependence of a roe deer population. Incorporation of local knowledge into temporally dynamic and spatial models increases understanding of population dynamics and improves wildlife management. |
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