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ATLAS Deliverable 1.6: Biologically realistic Lagrangian dispersal and connectivity

Fox, Alan; Gary, Stefan; Biastoch, Arne; Roberts, J Murray


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  <identifier identifierType="DOI">10.5281/zenodo.3548735</identifier>
  <creators>
    <creator>
      <creatorName>Fox, Alan</creatorName>
      <givenName>Alan</givenName>
      <familyName>Fox</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9047-1986</nameIdentifier>
      <affiliation>University of Edinburgh</affiliation>
    </creator>
    <creator>
      <creatorName>Gary, Stefan</creatorName>
      <givenName>Stefan</givenName>
      <familyName>Gary</familyName>
      <affiliation>Scottish Association of Marine Science</affiliation>
    </creator>
    <creator>
      <creatorName>Biastoch, Arne</creatorName>
      <givenName>Arne</givenName>
      <familyName>Biastoch</familyName>
      <affiliation>GEOMAR</affiliation>
    </creator>
    <creator>
      <creatorName>Roberts, J Murray</creatorName>
      <givenName>J Murray</givenName>
      <familyName>Roberts</familyName>
      <affiliation>University of Edinburgh</affiliation>
    </creator>
  </creators>
  <titles>
    <title>ATLAS Deliverable 1.6: Biologically realistic Lagrangian dispersal and connectivity</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-11-20</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/atlas</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Larval behaviours are predicted to impact their long-term spreading, with&lt;br&gt;
wider spreading being everywhere associated with more time spent higher in&lt;br&gt;
the water column.&lt;br&gt;
The strength of this enhanced dispersal varies regionally (from strong to very&lt;br&gt;
strong).&lt;br&gt;
Dispersal pathways are predicted to be affected by larval behaviour in ways&lt;br&gt;
which could influence the distribution of species.&lt;br&gt;
For deep-sea populations, the uncertainty in modelled dispersal and connectivity&lt;br&gt;
associated with vertical larval positioning in the water column is potentially&lt;br&gt;
an order of magnitude larger than that associated with pelagic larval duration&lt;br&gt;
or model hydrodynamics.&lt;br&gt;
The knowledge gaps in larval behaviour which contribute most to the uncertainty&lt;br&gt;
concern settling &amp;ndash; the age at which larvae start to sink, and the sinking&lt;br&gt;
rate.&lt;br&gt;
In the absence of detailed knowledge of larval development, time-series observations&lt;br&gt;
of larval position in the water column could be used to constrain&lt;br&gt;
models, hugely reducing uncertainty in predictions.&lt;br&gt;
Under the most dispersive behaviour modelled, populations throughout the&lt;br&gt;
North Atlantic would be connected. Seamount populations may be crucial&lt;br&gt;
stepping stones in this wider connectivity.&lt;br&gt;
In the more dispersive scenarios two large-scale closed connectivity loops were&lt;br&gt;
identified, one anticlockwise around the North Atlantic basin with west-east&lt;br&gt;
return via the Azores, the second smaller loop following the sub-polar gyre.&lt;br&gt;
Even for the least dispersive behaviour modelled, populations along the continental&lt;br&gt;
slope may be connected anticlockwise around the North Atlantic, depending on the detailed habitat distribution.&lt;br&gt;
These conclusions are based on a large, systematic Lagrangian modelling experiment,&lt;br&gt;
tracking about 10 million virtual particles over 50 years in contrasting&lt;br&gt;
dynamical regimes around the North Atlantic Ocean.&lt;/p&gt;</description>
    <description descriptionType="Other">10.5281/zenodo.3548344</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/678760/">678760</awardNumber>
      <awardTitle>A Trans-AtLantic Assessment and deep-water ecosystem-based Spatial management plan for Europe</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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