Habitat and population modelling of roe deer using an interactive geographic information system
Identifieur interne : 002541 ( Main/Merge ); précédent : 002540; suivant : 002542Habitat and population modelling of roe deer using an interactive geographic information system
Auteurs : V. C. Radeloff [États-Unis] ; A. M. Pidgeon [États-Unis] ; P. Hostert [Allemagne]Source :
- Ecological modelling [ 0304-3800 ] ; 1999.
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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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Pascal:99-0211379Le document en format XML
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Pidgeon</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>Department of Wildlife Ecology, University of Wisconsin, 1630 Linden Drive</s1><s2>Madison, WI 53706</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Wisconsin</region></placeName></affiliation></author><author><name sortKey="Hostert, P" sort="Hostert, P" uniqKey="Hostert P" first="P." last="Hostert">P. 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C." last="Radeloff">V. C. Radeloff</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Department of Forest Ecology and Management, University of Wisconsin</s1><s2>Madison, WI 53706</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Wisconsin</region></placeName></affiliation></author><author><name sortKey="Pidgeon, A M" sort="Pidgeon, A M" uniqKey="Pidgeon A" first="A. M." last="Pidgeon">A. M. Pidgeon</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>Department of Wildlife Ecology, University of Wisconsin, 1630 Linden Drive</s1><s2>Madison, WI 53706</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Wisconsin</region></placeName></affiliation></author><author><name sortKey="Hostert, P" sort="Hostert, P" uniqKey="Hostert P" first="P." last="Hostert">P. Hostert</name><affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Department of Geography, University of Trier</s1><s2>54296 Trier</s2><s3>DEU</s3><sZ>3 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54296 Trier</wicri:noRegion><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation></author></analytic><series><title level="j" type="main">Ecological modelling</title><title level="j" type="abbreviated">Ecol. model.</title><idno type="ISSN">0304-3800</idno><imprint><date when="1999">1999</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Ecological modelling</title><title level="j" type="abbreviated">Ecol. model.</title><idno type="ISSN">0304-3800</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animal population</term><term>Capreolus capreolus</term><term>Density dependence</term><term>Geographic information system</term><term>Germany</term><term>Habitat</term><term>Modeling</term><term>Population dynamics</term><term>Population management</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Système information géographique</term><term>Modélisation</term><term>Population animale</term><term>Habitat</term><term>Densité dépendance</term><term>Dynamique population</term><term>Gestion population</term><term>Allemagne</term><term>Capreolus capreolus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Habitat</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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. 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Hostert</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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