Literature DB >> 31871191

Hidden similarities in the dynamics of a weakly synchronous marine metapopulation.

Tanya L Rogers1, Stephan B Munch2.   

Abstract

Populations of many marine species are only weakly synchronous, despite coupling through larval dispersal and exposure to synchronous environmental drivers. Although this is often attributed to observation noise, factors including local environmental differences, spatially variable dynamics, and chaos might also reduce or eliminate metapopulation synchrony. To differentiate spatially variable dynamics from similar dynamics driven by spatially variable environments, we applied hierarchical delay embedding. A unique output of this approach, the "dynamic correlation," quantifies similarity in intrinsic dynamics of populations, independently of whether their abundance is correlated through time. We applied these methods to 17 populations of blue crab (Callinectes sapidus) along the US Atlantic coast and found that their intrinsic dynamics were broadly similar despite largely independent fluctuations in abundance. The weight of evidence suggests that the latitudinal gradient in temperature, filtered through a unimodal response curve, is sufficient to decouple crab populations. As unimodal thermal performance is ubiquitous in ectotherms, we suggest that this may be a general explanation for the weak synchrony observed at large distances in many marine species, although additional studies are needed to test this hypothesis.

Entities:  

Keywords:  Callinectes sapidus; environmental gradients; hierarchical models; synchrony; time-delay embedding

Mesh:

Year:  2019        PMID: 31871191      PMCID: PMC6955368          DOI: 10.1073/pnas.1910964117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Larval dispersal and marine population connectivity.

Authors:  Robert K Cowen; Su Sponaugle
Journal:  Ann Rev Mar Sci       Date:  2009

2.  Small heterogeneity has large effects on synchronization of ecological oscillators.

Authors:  Eli E Goldwyn; Alan Hastings
Journal:  Bull Math Biol       Date:  2008-12-10       Impact factor: 1.758

3.  The Moran effect and phase synchronization in complex spatial community dynamics.

Authors:  B Cazelles; G Boudjema
Journal:  Am Nat       Date:  2001-06       Impact factor: 3.926

4.  Complex interplays among population dynamics, environmental forcing, and exploitation in fisheries.

Authors:  T Rouyer; J-M Fromentin; F Ménard; B Cazelles; K Briand; R Pianet; B Planque; N C Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-07       Impact factor: 11.205

5.  Different types of synchrony in chaotic and cyclic communities.

Authors:  Lutz Becks; Hartmut Arndt
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

6.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.

Authors:  G Sugihara; R M May
Journal:  Nature       Date:  1990-04-19       Impact factor: 49.962

7.  Chaos reduces species extinction by amplifying local population noise.

Authors:  J C Allen; W M Schaffer; D Rosko
Journal:  Nature       Date:  1993-07-15       Impact factor: 49.962

8.  Common dynamic structure of canada lynx populations within three climatic regions

Authors: 
Journal:  Science       Date:  1999-08-13       Impact factor: 47.728

9.  The extended Moran effect and large-scale synchronous fluctuations in the size of great tit and blue tit populations.

Authors:  Bernt-Erik Saether; Steinar Engen; Vidar Grøtan; Wolfgang Fiedler; Erik Matthysen; Marcel E Visser; Jonathan Wright; Anders Pape Møller; Frank Adriaensen; Hans van Balen; Dawn Balmer; Mark C Mainwaring; Robin H McCleery; Miriam Pampus; Wolfgang Winkel
Journal:  J Anim Ecol       Date:  2007-03       Impact factor: 5.091

10.  Geographical gradients in the population dynamics of North American prairie ducks.

Authors:  Bernt-Erik Saether; Magnar Lillegård; Vidar Grøtan; Mark C Drever; Steinar Engen; Thomas D Nudds; Kevin M Podruzny
Journal:  J Anim Ecol       Date:  2008-07-08       Impact factor: 5.091

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  2 in total

1.  Decomposing predictability to identify dominant causal drivers in complex ecosystems.

Authors:  Kenta Suzuki; Shin-Ichiro S Matsuzaki; Hiroshi Masuya
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-10       Impact factor: 12.779

Review 2.  When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers.

Authors:  Samuel S Urmy; Alli N Cramer; Tanya L Rogers; Jenna Sullivan-Stack; Marian Schmidt; Simon D Stewart; Celia C Symons
Journal:  Ecol Lett       Date:  2022-03-22       Impact factor: 11.274

  2 in total

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