Literature DB >> 33580138

Bayesian Network Analysis reveals resilience of the jellyfish Aurelia aurita to an Irish Sea regime shift.

Emily G Mitchell1,2,3, Margaret I Wallace4,5, V Anne Smith6, Amanda A Wiesenthal4,7, Andrew S Brierley4.   

Abstract

Robust time-series of direct observations of jellyfish abundance are not available for many ecosystems, leaving it difficult to determine changes in jellyfish abundance, the possible causes (e.g. climate change) or the consequences (e.g. trophic cascades). We sought an indirect ecological route to reconstruct jellyfish abundance in the Irish Sea: since zooplankton are jellyfish prey, historic variability in zooplankton communities may provide proxies for jellyfish abundance. We determined the Bayesian ecological network of jellyfish-zooplankton dependencies using jellyfish- and zooplankton-abundance data obtained using nets during a 2-week cruise to the Irish Sea in 2008. This network revealed that Aurelia aurita abundance was dependent on zooplankton groups Warm Temperate and Temperate Oceanic as defined by previous zooplankton ecology work. We then determined historic zooplankton networks across the Irish Sea from abundance data from Continuous Plankton Recorder surveys conducted between 1970 and 2000. Transposing the 2008 spatial dependencies onto the historic networks revealed that Aurelia abundance was more strongly dependent over time on sea surface temperature than on the zooplankton community. The generalist predatory abilities of Aurelia may have insulated this jellyfish over the 1985 regime shift when zooplankton composition in the Irish Sea changed abruptly, and also help explain its globally widespread distribution.

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Year:  2021        PMID: 33580138      PMCID: PMC7881242          DOI: 10.1038/s41598-021-82825-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  19 in total

1.  Climate impact on plankton ecosystems in the Northeast Atlantic.

Authors:  Anthony J Richardson; David S Schoeman
Journal:  Science       Date:  2004-09-10       Impact factor: 47.728

2.  Revealing ecological networks using Bayesian network inference algorithms.

Authors:  Isobel Milns; Colin M Beale; V Anne Smith
Journal:  Ecology       Date:  2010-07       Impact factor: 5.499

3.  Climate change and marine plankton.

Authors:  Graeme C Hays; Anthony J Richardson; Carol Robinson
Journal:  Trends Ecol Evol       Date:  2005-06       Impact factor: 17.712

4.  Colloquium paper: ecological extinction and evolution in the brave new ocean.

Authors:  Jeremy B C Jackson
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-11       Impact factor: 11.205

5.  Fishing down marine food webs

Authors: 
Journal:  Science       Date:  1998-02-06       Impact factor: 47.728

6.  Recurrent jellyfish blooms are a consequence of global oscillations.

Authors:  Robert H Condon; Carlos M Duarte; Kylie A Pitt; Kelly L Robinson; Cathy H Lucas; Kelly R Sutherland; Hermes W Mianzan; Molly Bogeberg; Jennifer E Purcell; Mary Beth Decker; Shin-ichi Uye; Laurence P Madin; Richard D Brodeur; Steven H D Haddock; Alenka Malej; Gregory D Parry; Elena Eriksen; Javier Quiñones; Marcelo Acha; Michel Harvey; James M Arthur; William M Graham
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-31       Impact factor: 11.205

7.  Connectance of large dynamic (cybernetic) systems: critical values for stability.

Authors:  M R Gardner; W R Ashby
Journal:  Nature       Date:  1970-11-21       Impact factor: 49.962

Review 8.  Jellyfish and ctenophore blooms coincide with human proliferations and environmental perturbations.

Authors:  Jennifer E Purcell
Journal:  Ann Rev Mar Sci       Date:  2012

9.  Climate change and eutrophication induced shifts in northern summer plankton communities.

Authors:  Sanna Suikkanen; Silvia Pulina; Jonna Engström-Öst; Maiju Lehtiniemi; Sirpa Lehtinen; Andreas Brutemark
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

Review 10.  Parallel ecological networks in ecosystems.

Authors:  Han Olff; David Alonso; Matty P Berg; B Klemens Eriksson; Michel Loreau; Theunis Piersma; Neil Rooney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

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  2 in total

1.  Practical application of a Bayesian network approach to poultry epigenetics and stress.

Authors:  Emiliano A Videla Rodriguez; Fábio Pértille; Carlos Guerrero-Bosagna; John B O Mitchell; Per Jensen; V Anne Smith
Journal:  BMC Bioinformatics       Date:  2022-07-01       Impact factor: 3.307

2.  A Bayesian network structure learning approach to identify genes associated with stress in spleens of chickens.

Authors:  E A Videla Rodriguez; John B O Mitchell; V Anne Smith
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

  2 in total

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