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1995
DOI: 10.2307/1942045
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Spatially Explicit Population Models: Current Forms and Future Uses

Abstract: Spatially explicit population models are becoming increasingly useful tools for population ecologists, conservation biologists, and land managers. Models are spatially explicit when they combine a population simulator with a landscape map that describes the spatial distribution of landscape features. With this map, the locations of habitat patches, individuals, and other items of interest are explicitly incorporated into the model, and the effect of changing landscape features on population dynamics can be stu… Show more

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Cited by 460 publications
(272 citation statements)
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References 45 publications
(63 reference statements)
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“…Dispersal, and in general, spatial processes, have been shown to be important for the persistence of populations in the face of environmental change and the success of different management strategies (Hanski & Thomas, 1994;Dunning et al, 1995;Swinton et al, 1997;Clutton-Brock et al, 2002). For instance, the effect of habitat degradation on the persistence of a population may depend on whether immigrating animals can distinguish between habitats of differing quality.…”
Section: Dispersal and Model Predictionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Dispersal, and in general, spatial processes, have been shown to be important for the persistence of populations in the face of environmental change and the success of different management strategies (Hanski & Thomas, 1994;Dunning et al, 1995;Swinton et al, 1997;Clutton-Brock et al, 2002). For instance, the effect of habitat degradation on the persistence of a population may depend on whether immigrating animals can distinguish between habitats of differing quality.…”
Section: Dispersal and Model Predictionsmentioning
confidence: 99%
“…Through simply moving from one habitat patch to another, the dispersal of an individual has consequences not only for individual fitness, but also for population dynamics and genetics, and species' distributions (Dunning et al, 1995;Hanski & Gilpin, 1997 ;Hanski, 1999 ;Clobert et al, 2001). Due to this link between dispersal and population dynamics, understanding its causes and consequences is vital for population management and predicting the population response to changes in the environment.…”
Section: Introductionmentioning
confidence: 99%
“…First, an understanding of variability in space and time, which has led to work on time-series population analysis, stochastic and dynamic modeling (Hastings et al, 1993;Elner and Turchin, 1995) and an interest in the relationships between disturbance regimes and spatial patterning from patches to landscapes (e.g., Kolasa and Pickett, 1991;Turner, 1989). Second, nonequilibrium perspectives suggested a need to explore the implications of scaling on dynamic processes, which has lead to work on hierarchies and scale relationships in ecosystems analysis (Allen and Hoekstra, 1991;O'Neill et al, 1986;Dunning and Stewart, 1995). Third, a recognition of the importance of history on current dynamics has led to work on environmental change at a variety of time scales (Worster, 1990;Williams, 1994).…”
Section: (B) Dynamic Ecologiesmentioning
confidence: 99%
“…Dans le cas des modbles d'IQH appliquh Bun vaste territoire, il imimporte surtout que la proportion globale des diverses strates forestibres soit la bonne. Dans le cas de modbles spatialement explicites (Dunning et al 1995), il est par contre primordial que chaque polygone forestier Cvalut et ses voisins soient correctement dtcrits. La superposition des donntes tt1Cmttriques B la carte forestibre pour analyser la sklection d'habitat fait face B la meme exigence.…”
Section: Louis Bblangerunclassified