2022
DOI: 10.1002/ecy.3858
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Dispersal, kin aggregation, and the fitness consequences of not spreading sibling larvae

Abstract: Dispersal has far‐reaching implications for individuals, populations, and communities, especially in sessile organisms. Escaping competition with conspecifics and with kin are theorized to be key factors leading to dispersal as an adaptation. However, manipulative approaches in systems in which adults are sessile but offspring have behaviors is required for a more complete understanding of how competition affects dispersal. Here, we integrate a series of experiments to study how dispersal affects the density a… Show more

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Cited by 5 publications
(3 citation statements)
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“…Previous studies show that species may exhibit positive or negative density-dependent dispersal, which depends on the balance of the costs and benefits of group living [ 3 , 9 , 27 , 28 , 29 , 30 , 31 , 32 , 57 ]. The present study indicates that T. ludeni females exhibited significantly increased dispersal probability and distance with an increase in population density ( Figure 5 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous studies show that species may exhibit positive or negative density-dependent dispersal, which depends on the balance of the costs and benefits of group living [ 3 , 9 , 27 , 28 , 29 , 30 , 31 , 32 , 57 ]. The present study indicates that T. ludeni females exhibited significantly increased dispersal probability and distance with an increase in population density ( Figure 5 ).…”
Section: Discussionmentioning
confidence: 99%
“…High population density often leads to intense resource competition, reducing individual fitness [ 3 , 27 , 28 ]. Increasing density would potentially raise dispersal probability [ 2 , 3 , 9 , 29 ] over longer distances [ 30 , 31 ].…”
Section: Introductionmentioning
confidence: 99%
“…High population density often leads to intense resource competition, reducing individual fitness [3,27,28]. Increasing density would raise dispersal probability [2,3,9,29] over longer distance [30,31].…”
Section: Introductionmentioning
confidence: 99%