Habitat and population modelling of roe deer using an interactive geographic information system
Identifieur interne : 002127 ( Main/Exploration ); précédent : 002126; suivant : 002128Habitat and population modelling of roe deer using an interactive geographic information system
Auteurs : Volker C. Radeloff [États-Unis] ; Anna M. Pidgeon [États-Unis] ; Patrick Hostert [Allemagne]Source :
- Ecological Modelling [ 0304-3800 ] ; 1999.
Descripteurs français
- Pascal (Inist)
- Wicri :
- geographic : Allemagne.
- topic : Dynamique de la population, Habitat.
English descriptors
- KwdEn :
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.
Url:
DOI: 10.1016/S0304-3800(98)00164-1
Affiliations:
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Le document en format XML
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Pidgeon</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Wildlife Ecology, University of Wisconsin, 1630 Linden Drive, Madison, WI 53706</wicri:regionArea><placeName><region type="state">Wisconsin</region></placeName></affiliation></author><author><name sortKey="Hostert, Patrick" sort="Hostert, Patrick" uniqKey="Hostert P" first="Patrick" last="Hostert">Patrick Hostert</name><affiliation wicri:level="4"><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Geography, University of Trier, 54296 Trier</wicri:regionArea><orgName type="university">Université de Trèves</orgName><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Ecological Modelling</title><title level="j" type="abbrev">ECOMOD</title><idno type="ISSN">0304-3800</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">114</biblScope><biblScope unit="issue">2–3</biblScope><biblScope unit="page" from="287">287</biblScope><biblScope unit="page" to="304">304</biblScope></imprint><idno type="ISSN">0304-3800</idno></series><idno type="istex">78C729A54F122E79B2371FFB19BFAE854E7F7E8A</idno><idno type="DOI">10.1016/S0304-3800(98)00164-1</idno><idno type="PII">S0304-3800(98)00164-1</idno></biblStruct></sourceDesc><seriesStmt><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>GIS</term><term>GUI</term><term>Geographic information system</term><term>Germany</term><term>Habitat</term><term>Habitat model</term><term>Interactive modelling</term><term>Modeling</term><term>Population dynamics</term><term>Population management</term><term>Roe deer</term><term>Spatially explicit</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Allemagne</term><term>Capreolus capreolus</term><term>Densité dépendance</term><term>Dynamique population</term><term>Gestion population</term><term>Habitat</term><term>Modélisation</term><term>Population animale</term><term>Système information géographique</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Dynamique de la population</term><term>Habitat</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></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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Radeloff</name></country><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Hostert, Patrick" sort="Hostert, Patrick" uniqKey="Hostert P" first="Patrick" last="Hostert">Patrick Hostert</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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