Data from: Sensitivity of marine protected area network connectivity to atmospheric variability
International efforts are underway to establish well-connected systems of marine protected areas (MPAs) covering at least 10% of the ocean by 2020. But the nature and dynamics of ocean ecosystem connectivity are poorly understood, with unresolved effects of climate variability. We used 40-year runs...
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Online Access: | https://doi.org/10.5061/dryad.2hf38 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::0b0c78a1c5aaa5e2d3192a0266f0c5a4 2023-05-15T17:08:39+02:00 Data from: Sensitivity of marine protected area network connectivity to atmospheric variability Fox, Alan D. Henry, Lea-Anne Corne, David W. Roberts, J. Muray Roberts, J. Murray 2016-01-01 https://doi.org/10.5061/dryad.2hf38 en eng Dryad http://dx.doi.org/10.5061/dryad.2hf38 https://dx.doi.org/10.5061/dryad.2hf38 lic_creative-commons 10.5061/dryad.2hf38 oai:easy.dans.knaw.nl:easy-dataset:95581 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:95581 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::a8db6f6b2ce4fe72e8b2314a9a93e7d9 10|openaire____::55045bd2a65019fd8e6741a755395c8c 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c connectivity inter-annual variability cold-water coral Marine protected area North Atlantic Oscillation particle tracking Lophelia pertusa NE Atlantic Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2016 fttriple https://doi.org/10.5061/dryad.2hf38 2023-01-22T17:22:33Z International efforts are underway to establish well-connected systems of marine protected areas (MPAs) covering at least 10% of the ocean by 2020. But the nature and dynamics of ocean ecosystem connectivity are poorly understood, with unresolved effects of climate variability. We used 40-year runs of a particle tracking model to examine the sensitivity of an MPA network for habitat-forming cold-water corals in the northeast Atlantic to changes in larval dispersal driven by atmospheric cycles and larval behaviour. Trajectories of Lophelia pertusa larvae were strongly correlated to the North Atlantic Oscillation (NAO), the dominant pattern of interannual atmospheric circulation variability over the northeast Atlantic. Variability in trajectories significantly altered network connectivity and source–sink dynamics, with positive phase NAO conditions producing a well-connected but asymmetrical network connected from west to east. Negative phase NAO produced reduced connectivity, but notably some larvae tracked westward-flowing currents towards coral populations on the mid-Atlantic ridge. Graph theoretical metrics demonstrate critical roles played by seamounts and offshore banks in larval supply and maintaining connectivity across the network. Larval longevity and behaviour mediated dispersal and connectivity, with shorter lived and passive larvae associated with reduced connectivity. We conclude that the existing MPA network is vulnerable to atmospheric-driven changes in ocean circulation. RSOS160494_Python_CodePython scripts for the particle tracking model and data processing. Dataset Lophelia pertusa North Atlantic North Atlantic oscillation Northeast Atlantic Unknown Mid-Atlantic Ridge |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
connectivity inter-annual variability cold-water coral Marine protected area North Atlantic Oscillation particle tracking Lophelia pertusa NE Atlantic Life sciences medicine and health care envir geo |
spellingShingle |
connectivity inter-annual variability cold-water coral Marine protected area North Atlantic Oscillation particle tracking Lophelia pertusa NE Atlantic Life sciences medicine and health care envir geo Fox, Alan D. Henry, Lea-Anne Corne, David W. Roberts, J. Muray Roberts, J. Murray Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
topic_facet |
connectivity inter-annual variability cold-water coral Marine protected area North Atlantic Oscillation particle tracking Lophelia pertusa NE Atlantic Life sciences medicine and health care envir geo |
description |
International efforts are underway to establish well-connected systems of marine protected areas (MPAs) covering at least 10% of the ocean by 2020. But the nature and dynamics of ocean ecosystem connectivity are poorly understood, with unresolved effects of climate variability. We used 40-year runs of a particle tracking model to examine the sensitivity of an MPA network for habitat-forming cold-water corals in the northeast Atlantic to changes in larval dispersal driven by atmospheric cycles and larval behaviour. Trajectories of Lophelia pertusa larvae were strongly correlated to the North Atlantic Oscillation (NAO), the dominant pattern of interannual atmospheric circulation variability over the northeast Atlantic. Variability in trajectories significantly altered network connectivity and source–sink dynamics, with positive phase NAO conditions producing a well-connected but asymmetrical network connected from west to east. Negative phase NAO produced reduced connectivity, but notably some larvae tracked westward-flowing currents towards coral populations on the mid-Atlantic ridge. Graph theoretical metrics demonstrate critical roles played by seamounts and offshore banks in larval supply and maintaining connectivity across the network. Larval longevity and behaviour mediated dispersal and connectivity, with shorter lived and passive larvae associated with reduced connectivity. We conclude that the existing MPA network is vulnerable to atmospheric-driven changes in ocean circulation. RSOS160494_Python_CodePython scripts for the particle tracking model and data processing. |
format |
Dataset |
author |
Fox, Alan D. Henry, Lea-Anne Corne, David W. Roberts, J. Muray Roberts, J. Murray |
author_facet |
Fox, Alan D. Henry, Lea-Anne Corne, David W. Roberts, J. Muray Roberts, J. Murray |
author_sort |
Fox, Alan D. |
title |
Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
title_short |
Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
title_full |
Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
title_fullStr |
Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
title_full_unstemmed |
Data from: Sensitivity of marine protected area network connectivity to atmospheric variability |
title_sort |
data from: sensitivity of marine protected area network connectivity to atmospheric variability |
publisher |
Dryad |
publishDate |
2016 |
url |
https://doi.org/10.5061/dryad.2hf38 |
geographic |
Mid-Atlantic Ridge |
geographic_facet |
Mid-Atlantic Ridge |
genre |
Lophelia pertusa North Atlantic North Atlantic oscillation Northeast Atlantic |
genre_facet |
Lophelia pertusa North Atlantic North Atlantic oscillation Northeast Atlantic |
op_source |
10.5061/dryad.2hf38 oai:easy.dans.knaw.nl:easy-dataset:95581 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:95581 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::a8db6f6b2ce4fe72e8b2314a9a93e7d9 10|openaire____::55045bd2a65019fd8e6741a755395c8c 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.2hf38 https://dx.doi.org/10.5061/dryad.2hf38 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.2hf38 |
_version_ |
1766064459837603840 |