Atlantic seep mussels larval dispersal predictions under climate changes ...

A projection of larval dispersal patterns of Atlantic cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang was carried out for the next 50 years under the constraint of global warming predicted by the IPCC for the most pessismistic scenario. Simulations w...

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Main Authors: Jollivet, Didier, Rath, Willi, Nicolle, Amandine, Thiébaut, Eric, Biastoch, Arne
Format: Dataset
Language:unknown
Published: PANGAEA 2024
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.966720
https://doi.pangaea.de/10.1594/PANGAEA.966720
id ftdatacite:10.1594/pangaea.966720
record_format openpolar
spelling ftdatacite:10.1594/pangaea.966720 2024-04-28T08:31:31+00:00 Atlantic seep mussels larval dispersal predictions under climate changes ... Jollivet, Didier Rath, Willi Nicolle, Amandine Thiébaut, Eric Biastoch, Arne 2024 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.966720 https://doi.pangaea.de/10.1594/PANGAEA.966720 unknown PANGAEA https://dx.doi.org/10.1594/pangaea.955455 https://dx.doi.org/10.3389/fmars.2023.1122124 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Atlantic Bathymodiolus Climate change predictions Gigantidas larval dispersal modelling seep mussels VIKING20X Event label Binary Object Binary Object Media Type Binary Object File Size File content DATE/TIME LATITUDE LONGITUDE Ocean and sea region Location Index ELEVATION Experiment duration Particles Analysis Model Speed, swimming Temperature, water Regime Quantile Experiment Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic dataset Dataset 2024 ftdatacite https://doi.org/10.1594/pangaea.96672010.1594/pangaea.95545510.3389/fmars.2023.1122124 2024-04-02T11:56:32Z A projection of larval dispersal patterns of Atlantic cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang was carried out for the next 50 years under the constraint of global warming predicted by the IPCC for the most pessismistic scenario. Simulations were run at +00 years, +25 years and +50 years from initial years of 2014 to 2019 (+00Y) at 21 locations on the US, European and African coasts using the VIKING20X model, in which the Atlantic water temperatures predicted by the FOCI model were forced to the future dates. The dataset consists of a number of 5775 simulations carried out over 5 years X 5 spawning dates per prediction period (+00Y, +25Y, +50Y) with, for predictions at +25Y and +50Y, a repetition of simulations per quantile (0.025, 0.16, 0.5, 0.67 and 0.975) to take into account for the most extreme variations in water mass temperatures predicted by the FOCI model for a given date. ... : All simulations are contained within one large (ca. 8.4 GB) netCDF file named: trajs_viking_with_FOCI_anomalies.ncThe netCDF file contains 5775 larval dispersal simulations done by VIKING20X for the North Atlantic water masses temperatures predicted by FOCI at +00Y (2014, 2015, 2016, 2017, 2018 and 2019), +25Y (2039, 2040, 2041, 2042, 2043, and 2044) and +50Y (2064, 2065, 2066, 2067, 2068 and 2069) for 21 seep localities and 5 spawning dates per year. Simulations follow Lagrangian trajectories of 1000 particles over 333 days with a alive/dead threshold above water temperature greater than 20°C. ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Atlantic
Bathymodiolus
Climate change predictions
Gigantidas
larval dispersal modelling
seep mussels
VIKING20X
Event label
Binary Object
Binary Object Media Type
Binary Object File Size
File content
DATE/TIME
LATITUDE
LONGITUDE
Ocean and sea region
Location
Index
ELEVATION
Experiment duration
Particles
Analysis
Model
Speed, swimming
Temperature, water
Regime
Quantile
Experiment
Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic
spellingShingle Atlantic
Bathymodiolus
Climate change predictions
Gigantidas
larval dispersal modelling
seep mussels
VIKING20X
Event label
Binary Object
Binary Object Media Type
Binary Object File Size
File content
DATE/TIME
LATITUDE
LONGITUDE
Ocean and sea region
Location
Index
ELEVATION
Experiment duration
Particles
Analysis
Model
Speed, swimming
Temperature, water
Regime
Quantile
Experiment
Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic
Jollivet, Didier
Rath, Willi
Nicolle, Amandine
Thiébaut, Eric
Biastoch, Arne
Atlantic seep mussels larval dispersal predictions under climate changes ...
topic_facet Atlantic
Bathymodiolus
Climate change predictions
Gigantidas
larval dispersal modelling
seep mussels
VIKING20X
Event label
Binary Object
Binary Object Media Type
Binary Object File Size
File content
DATE/TIME
LATITUDE
LONGITUDE
Ocean and sea region
Location
Index
ELEVATION
Experiment duration
Particles
Analysis
Model
Speed, swimming
Temperature, water
Regime
Quantile
Experiment
Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic
description A projection of larval dispersal patterns of Atlantic cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang was carried out for the next 50 years under the constraint of global warming predicted by the IPCC for the most pessismistic scenario. Simulations were run at +00 years, +25 years and +50 years from initial years of 2014 to 2019 (+00Y) at 21 locations on the US, European and African coasts using the VIKING20X model, in which the Atlantic water temperatures predicted by the FOCI model were forced to the future dates. The dataset consists of a number of 5775 simulations carried out over 5 years X 5 spawning dates per prediction period (+00Y, +25Y, +50Y) with, for predictions at +25Y and +50Y, a repetition of simulations per quantile (0.025, 0.16, 0.5, 0.67 and 0.975) to take into account for the most extreme variations in water mass temperatures predicted by the FOCI model for a given date. ... : All simulations are contained within one large (ca. 8.4 GB) netCDF file named: trajs_viking_with_FOCI_anomalies.ncThe netCDF file contains 5775 larval dispersal simulations done by VIKING20X for the North Atlantic water masses temperatures predicted by FOCI at +00Y (2014, 2015, 2016, 2017, 2018 and 2019), +25Y (2039, 2040, 2041, 2042, 2043, and 2044) and +50Y (2064, 2065, 2066, 2067, 2068 and 2069) for 21 seep localities and 5 spawning dates per year. Simulations follow Lagrangian trajectories of 1000 particles over 333 days with a alive/dead threshold above water temperature greater than 20°C. ...
format Dataset
author Jollivet, Didier
Rath, Willi
Nicolle, Amandine
Thiébaut, Eric
Biastoch, Arne
author_facet Jollivet, Didier
Rath, Willi
Nicolle, Amandine
Thiébaut, Eric
Biastoch, Arne
author_sort Jollivet, Didier
title Atlantic seep mussels larval dispersal predictions under climate changes ...
title_short Atlantic seep mussels larval dispersal predictions under climate changes ...
title_full Atlantic seep mussels larval dispersal predictions under climate changes ...
title_fullStr Atlantic seep mussels larval dispersal predictions under climate changes ...
title_full_unstemmed Atlantic seep mussels larval dispersal predictions under climate changes ...
title_sort atlantic seep mussels larval dispersal predictions under climate changes ...
publisher PANGAEA
publishDate 2024
url https://dx.doi.org/10.1594/pangaea.966720
https://doi.pangaea.de/10.1594/PANGAEA.966720
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.1594/pangaea.955455
https://dx.doi.org/10.3389/fmars.2023.1122124
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.96672010.1594/pangaea.95545510.3389/fmars.2023.1122124
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