2018
DOI: 10.1038/s41559-018-0686-0
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Bottom-up and top-down control of dispersal across major organismal groups

Abstract: Ecology and evolution unfold in spatially structured communities, where dispersal links dynamics across scales. Because dispersal is multicausal, identifying general drivers remains challenging. In a coordinated distributed experiment spanning organisms from protozoa to vertebrates, we tested whether two fundamental determinants of local dynamics, top-down and bottom-up control, generally explain active dispersal. We show that both factors consistently increased emigration rates and use metacommunity modelling… Show more

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Cited by 100 publications
(163 citation statements)
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“…As plants are passive dispersers, we model their maximum dispersal distance as random and body mass independent. We model emigration rates as a function of each species' per capita net growth rate, which is summarising local conditions such as resource availability, predation pressure, and inter-and intraspecific competition [43]. During dispersal, distance-dependent mortality occurs, i.e., the further two patches are apart, the more biomass is lost to the hostile matrix separating them.…”
Section: Methodsmentioning
confidence: 99%
“…As plants are passive dispersers, we model their maximum dispersal distance as random and body mass independent. We model emigration rates as a function of each species' per capita net growth rate, which is summarising local conditions such as resource availability, predation pressure, and inter-and intraspecific competition [43]. During dispersal, distance-dependent mortality occurs, i.e., the further two patches are apart, the more biomass is lost to the hostile matrix separating them.…”
Section: Methodsmentioning
confidence: 99%
“…The relevance of ADD may increase with ongoing climate change: Many ecosystems are expected to change in their state, and mechanisms associated with ADD, such as dispersal or demography, are predicted to be especially vulnerable to climate change (Urban et al 2016). We thus speculate that the study of ADD would be especially relevant when matched with the study of dispersal strategies, dispersal syndromes, and dispersal genetics (Cote et al 2016, Fronhofer et al 2018, Saastamoinen et al 2018. A further possible interesting link between ADD and existing ecological literature is with respect to nonlinear dispersal responses and recruitment, such as tests of the Janzen-Connell model (Terborgh et al 2008) or inverse density-dependent dispersal (Little et al 2019).…”
Section: The Area Dependence Of Dispersalmentioning
confidence: 99%
“…These laboratory conditions proved useful to study many aspects of dispersal such as, e.g. , the architecture of dispersal syndromes, the causes of dispersal (Pennekamp et al 2014, Fronhofer et al 2018), the cooperation-colonization trade-off (Jacob et al 2016), range expansions (Fronhofer & Altermatt 2015, Fronhofer et al 2017), or (meta)population and community dynamics (Fox et al 2014, Jacob et al 2019). For a dispersal trial, a fraction of ~100,000 cells were placed in one of the two patches, called the departure patch while corridors were closed with clamps.…”
Section: Methodsmentioning
confidence: 99%