2006
DOI: 10.1016/j.biocon.2005.07.019
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The decline of Cantabrian capercaillie: How much does habitat configuration matter?

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Cited by 46 publications
(61 citation statements)
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“…Some topographic features also differed among groups: broodless hens were located in summer in more northern and rugged exposures than were cocks. Shifting up the spatial scale of analysis, we found that hens with broods were located in the most suitable areas for the species according to a previous habitat suitability map, mainly characterized by high proportion of forest cover at large spatial scales (Quevedo et al 2006a). Overall, in summer, capercaillie were sighted closer to forest edges than to spring display grounds, as evidenced by the increased importance of open areas in their surroundings.…”
Section: Discussionmentioning
confidence: 85%
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“…Some topographic features also differed among groups: broodless hens were located in summer in more northern and rugged exposures than were cocks. Shifting up the spatial scale of analysis, we found that hens with broods were located in the most suitable areas for the species according to a previous habitat suitability map, mainly characterized by high proportion of forest cover at large spatial scales (Quevedo et al 2006a). Overall, in summer, capercaillie were sighted closer to forest edges than to spring display grounds, as evidenced by the increased importance of open areas in their surroundings.…”
Section: Discussionmentioning
confidence: 85%
“…We used an existing habitat suitability map for capercaillie in the area (Quevedo et al 2006a) to compare the predicted habitat suitability corresponding to sightings of hens with broods, cocks and broodless hens at the landscape scale. This habitat suitability map was developed from a logistic model, using the information of display grounds, so that the characteristics of presence areas (i.e., occupied leks) and absence areas (i.e., abandoned leks) were compared in a grid of 25 ha habitat units.…”
Section: Habitat Suitabilitymentioning
confidence: 99%
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“…In order to control for individual factors known to influence ADV epidemiology in wild boar (i.e., sex and age; Vicente et al 2005), we used the individual ADV serostatus of wild boars (n=545; binomial, i.e., seronegative or seropositive) as response variable. Then, bivariate models were performed, retaining the one with the lowest AIC and subsequently we used a forward procedure (see Quevedo et al 2006). We fitted the models with a logit link function and a binomial error.…”
Section: Statistical Analysesmentioning
confidence: 99%