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WeightNameValue
1000 Titel
  • Modelling the differences between El Niño and La Niña years and planktonic larval duration on dispersal across the southeast Australian biogeographic barrier
1000 Autor/in
  1. Aguilar, Lucia |
  2. Matthews, Samuel |
  3. Ayre, David J. |
  4. Minchinton, Todd E. |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-05-04
1000 Erschienen in
1000 Quellenangabe
  • 6(1):e00074
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/geo2.74 |
1000 Ergänzendes Material
  • https://rgs-ibg.onlinelibrary.wiley.com/doi/full/10.1002/geo2.74#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Phylogeographic and genetic studies have revealed complex variation in connectivity across the Southeast Australian Biogeographic Barrier (SEABB) for intertidal rocky‐shore invertebrates. The objective of this study was to use Connie2 to test whether differences between El Niño and La Niña years alter the probability of larvae crossing the SEABB. The SEABB occurs on the SE corner of Australia and is the convergence site of two major ocean currents (Zeehan and East Australian Currents) as well as an historical land bridge connecting Tasmania to the mainland. It includes extensive sandy shore lacking suitable substrate for rocky‐shore specialists. Study locations included coastal sites from New South Wales, Victoria, and Tasmania categorised into four regions (Barrier, Eastern, Western, and Southern). Connie2, an interactive hydrodynamic modelling tool available online, was used to evaluate connectivity via larval dispersal by comparing the effect of planktonic larval duration (PLD) from five to 120 days, season of spawning, and ENSO variability (comparing La Niña and El Niño years) on the cumulative probability of dispersal between and among populations (regions) arrayed either side of the SEABB. For all years, strong connections were detected among sites within regions, even for low to moderate (less than 20% predicted dispersal) PLDs and irrespective of season. Connectivity across SEABB (between regions) was also strongly influenced by all variables but occurred only at PLD of at least 30 days for summer spawning. Connectivity across the SEABB was strongest from west to east and south to east during La Niña events. Our findings support the importance of SEABB as a barrier to dispersal. Migration across SEABB is predicted only for summer spawners (PLD ≥30 days). Predicted dispersal is only weakly influenced by El Niño and La Niña extremes, but connectivity may be altered by projected changes to the relative strengths of the Zeehan and East Australian Currents.
1000 Sacherschließung
lokal Australia
lokal pelagic larval duration
lokal El Niño
lokal oceanographic modelling
lokal La Niña
lokal connectivity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-6807-0377|https://orcid.org/0000-0003-1936-1220|https://frl.publisso.de/adhoc/uri/QXlyZSwgRGF2aWQgSi4=|https://frl.publisso.de/adhoc/uri/TWluY2hpbnRvbiwgVG9kZCBFLg==
1000 Label
1000 Förderer
  1. Australian Research Council |
  2. University of Wollongong |
1000 Fördernummer
  1. DP0666787
  2. -
1000 Förderprogramm
  1. Discovery Project Grant
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Australian Research Council |
    1000 Förderprogramm Discovery Project Grant
    1000 Fördernummer DP0666787
  2. 1000 joinedFunding-child
    1000 Förderer University of Wollongong |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419267.rdf
1000 Erstellt am 2020-03-20T10:36:43.851+0100
1000 Erstellt von 288
1000 beschreibt frl:6419267
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Wed Mar 25 09:13:18 CET 2020
1000 Objekt bearb. Wed Mar 25 08:59:16 CET 2020
1000 Vgl. frl:6419267
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419267 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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