Literature DB >> 22834378

How do dispersal costs and habitat selection influence realized population connectivity?

Scott C Burgess1, Eric A Treml, Dustin J Marshall.   

Abstract

Despite the importance of dispersal for population connectivity, dispersal is often costly to the individual. A major impediment to understanding connectivity has been a lack of data combining the movement of individuals and their survival to reproduction in the new habitat (realized connectivity). Although mortality often occurs during dispersal (an immediate cost), in many organisms costs are paid after dispersal (deferred costs). It is unclear how such deferred costs influence the mismatch between dispersal and realized connectivity. Through a series of experiments in the field and laboratory, we estimated both direct and indirect deferred costs in a marine bryozoan (Bugula neritina). We then used the empirical data to parameterize a theoretical model in order to formalize predictions about how dispersal costs influence realized connectivity. Individuals were more likely to colonize poor-quality habitat after prolonged dispersal durations. Individuals that colonized poor-quality habitat performed poorly after colonization because of some property of the habitat (an indirect deferred cost) rather than from prolonged dispersal per se (a direct deferred cost). Our theoretical model predicted that indirect deferred costs could result in nonlinear mismatches between spatial patterns of potential and realized connectivity. The deferred costs of dispersal are likely to be crucial for determining how well patterns of dispersal reflect realized connectivity. Ignoring these deferred costs could lead to inaccurate predictions of spatial population dynamics.

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Year:  2012        PMID: 22834378     DOI: 10.1890/11-1656.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  20 in total

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2.  Consequences of variable larval dispersal pathways and resulting phenotypic mixtures to the dynamics of marine metapopulations.

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Journal:  Biol Lett       Date:  2015-02       Impact factor: 3.703

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Authors:  Emily K Fobert; Eric A Treml; Stephen E Swearer
Journal:  Proc Biol Sci       Date:  2019-08-28       Impact factor: 5.349

4.  Global biogeography of marine dispersal potential.

Authors:  Mariana Álvarez-Noriega; Scott C Burgess; James E Byers; James M Pringle; John P Wares; Dustin J Marshall
Journal:  Nat Ecol Evol       Date:  2020-07-06       Impact factor: 15.460

5.  The nose knows: linking sensory cue use, settlement decisions, and post-settlement survival in a temperate reef fish.

Authors:  E K Fobert; S E Swearer
Journal:  Oecologia       Date:  2017-02-23       Impact factor: 3.225

Review 6.  Ecological traps: current evidence and future directions.

Authors:  Robin Hale; Stephen E Swearer
Journal:  Proc Biol Sci       Date:  2016-02-10       Impact factor: 5.349

7.  Mechanisms driving the density-area relationship in a saproxylic beetle.

Authors:  Heather B Jackson; Amanuel Zeccarias; James T Cronin
Journal:  Oecologia       Date:  2013-06-29       Impact factor: 3.225

8.  Identifying the key biophysical drivers, connectivity outcomes, and metapopulation consequences of larval dispersal in the sea.

Authors:  Eric A Treml; John R Ford; Kerry P Black; Stephen E Swearer
Journal:  Mov Ecol       Date:  2015-07-15       Impact factor: 3.600

9.  Spore sensitivity to sunlight and freezing can restrict dispersal in wood-decay fungi.

Authors:  Veera Norros; Elina Karhu; Jenni Nordén; Anssi V Vähätalo; Otso Ovaskainen
Journal:  Ecol Evol       Date:  2015-07-22       Impact factor: 2.912

10.  Larval dispersal modeling of pearl oyster Pinctada margaritifera following realistic environmental and biological forcing in Ahe atoll lagoon.

Authors:  Yoann Thomas; Franck Dumas; Serge Andréfouët
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

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