2014
DOI: 10.1371/journal.pone.0098126
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Using Latent Selection Difference to Model Persistence in a Declining Population

Abstract: Population persistence is a direct measure of the viability of a population. Monitoring the distribution of declining populations or subpopulations over time can yield estimates of persistence, which we show can be modeled as a latent selection difference (LSD) contrasting attributes of sites where populations have persisted versus those that have not. Predicted persistence can be modeled with predictor covariates to identify factors correlated with species persistence. We demonstrate how to model persistence … Show more

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Cited by 7 publications
(14 citation statements)
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“…The relative probability of persistence of the Western Grebe was modeled relative to key habitat variables on Alberta lakes throughout its breeding range that were known to have supported the species (Erickson et al 2014); Western Grebe persistence on a subset of once-occupied lakes was positively correlated with the proportion of shoreline bulrush (Scirpus lacustris), and was inversely related to the proportion of forested backshore. As well, Western Grebes have persisted on many lakes with extensive human development.…”
Section: Fig 1 Decline In Westernmentioning
confidence: 99%
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“…The relative probability of persistence of the Western Grebe was modeled relative to key habitat variables on Alberta lakes throughout its breeding range that were known to have supported the species (Erickson et al 2014); Western Grebe persistence on a subset of once-occupied lakes was positively correlated with the proportion of shoreline bulrush (Scirpus lacustris), and was inversely related to the proportion of forested backshore. As well, Western Grebes have persisted on many lakes with extensive human development.…”
Section: Fig 1 Decline In Westernmentioning
confidence: 99%
“…Within a geographical information system (GIS) ArcMap (Environmental Systems Research Institute 2008), we used both georeferenced aerial photography and satellite imagery (0.5-1.0 m resolution) to digitize and calculate additional variables, including shoreline perimeter and linear extent of emergent vegetation, as well as proportion of human development and proportion/type of backshore vegetation within a 500-m buffer surrounding each lake (see Found et al 2008, Erickson et al 2014. Anthropogenic development and emergent vegetation were digitized using ground-truthed data and digital aerial photography as a reference.…”
Section: Habitat Surveysmentioning
confidence: 99%
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