2007
DOI: 10.1093/beheco/arm113
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Spatial relatedness and brood parasitism in a female-philopatric bird population

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Cited by 32 publications
(58 citation statements)
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References 71 publications
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“…Based on this finding, Andersson and Waldeck (2007) and Waldeck et al (2008) concluded that the high host-parasite relatedness among laying Eider hens is not an effect of natal philopatry alone but also forms some additional kin-biasing mechanism. This means that Eider females recognize first-order relatives (siblings, mother-daughter pairs), and possibly also maternal halfsiblings, when laying parasitically in their nests.…”
Section: Introductionmentioning
confidence: 95%
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“…Based on this finding, Andersson and Waldeck (2007) and Waldeck et al (2008) concluded that the high host-parasite relatedness among laying Eider hens is not an effect of natal philopatry alone but also forms some additional kin-biasing mechanism. This means that Eider females recognize first-order relatives (siblings, mother-daughter pairs), and possibly also maternal halfsiblings, when laying parasitically in their nests.…”
Section: Introductionmentioning
confidence: 95%
“…Using protein fingerprinting of egg albumen, Andersson and Waldeck (2007) and Waldeck et al (2008) estimated that the mean relatedness in Eiders tended to be higher among host-parasite pairs than among random pairs of spatially close neighbors. Based on this finding, Andersson and Waldeck (2007) and Waldeck et al (2008) concluded that the high host-parasite relatedness among laying Eider hens is not an effect of natal philopatry alone but also forms some additional kin-biasing mechanism.…”
Section: Introductionmentioning
confidence: 99%
“…This general Wnding has important implications for the study of Wne-scale genetic structure, patterns of inbreeding and social interactions between kin (Lessells et al 1994;MacColl et al 2000;Ronce et al 2000;Van de Casteele and Matthysen 2006;Waldeck et al 2008). If parents return to the same family-rearing areas in subsequent years (Drent 1984;Nack and Andersen 2006) this pattern may even be reinforced by increased proximity between oVspring from diVerent families.…”
Section: Discussionmentioning
confidence: 93%
“…Consequently, the simulation is forced to start at a specific location, but can then move according to the set conditions in the given space. In the real world however, this is not always useful: when studying, for example, migration patterns (Codling et al 2010), nest borrowing (Waldeck et al 2008), or fusion of high and low frequency GPS points, the ability to specify an ending point can be crucial. Technitis et al (2015) introduced the Random Trajectory Generator (RTG), an algorithm that enables the user to create randomly varying, possible trajectories between endpoints, based on principles of Time Geography.…”
Section: Introductionmentioning
confidence: 99%