Literature DB >> 23349437

Tracking the long-distance dispersal of marine organisms: sensitivity to ocean model resolution.

Nathan F Putman1, Ruoying He.   

Abstract

Ocean circulation models are widely used to simulate organism transport in the open sea, where challenges of directly tracking organisms across vast spatial and temporal scales are daunting. Many recent studies tout the use of 'high-resolution' models, which are forced with atmospheric data on the scale of several hours and integrated with a time step of several minutes or seconds. However, in many cases, the model's outputs that are used to simulate organism movement have been averaged to considerably coarser resolutions (e.g. monthly mean velocity fields). To examine the sensitivity of tracking results to ocean circulation model output resolution, we took the native model output of one of the most sophisticated ocean circulation models available, the Global Hybrid Coordinate Ocean Model, and averaged it to commonly implemented spatial and temporal resolutions in studies of basin-scale dispersal. Comparisons between simulated particle trajectories and in situ near-surface drifter trajectories indicated that 'over averaging' model output yields predictions inconsistent with observations. Further analyses focused on the dispersal of juvenile sea turtles indicate that very different inferences regarding the pelagic ecology of these animals are obtained depending on the resolution of model output. We conclude that physical processes occurring at the scale of days and tens of kilometres should be preserved in ocean circulation model output to realistically depict the movement marine organisms and the resulting ecological and evolutionary processes.

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Year:  2013        PMID: 23349437      PMCID: PMC3627105          DOI: 10.1098/rsif.2012.0979

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  13 in total

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2.  Ontogenetic development of migration: Lagrangian drift trajectories suggest a new paradigm for sea turtles.

Authors:  Graeme C Hays; Sabrina Fossette; Kostas A Katselidis; Patrizio Mariani; Gail Schofield
Journal:  J R Soc Interface       Date:  2010-03-17       Impact factor: 4.118

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4.  An emerging movement ecology paradigm.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-05       Impact factor: 11.205

5.  Turtle groups or turtle soup: dispersal patterns of hawksbill turtles in the Caribbean.

Authors:  J M Blumenthal; F A Abreu-Grobois; T J Austin; A C Broderick; M W Bruford; M S Coyne; G Ebanks-Petrie; A Formia; P A Meylan; A B Meylan; B J Godley
Journal:  Mol Ecol       Date:  2009-11-02       Impact factor: 6.185

6.  Sea turtle nesting distributions and oceanographic constraints on hatchling migration.

Authors:  Nathan F Putman; John M Bane; Kenneth J Lohmann
Journal:  Proc Biol Sci       Date:  2010-06-23       Impact factor: 5.349

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Authors:  S Bonhommeau; O Le Pape; D Gascuel; B Blanke; A-M Tréguier; N Grima; Y Vermard; M Castonguay; E Rivot
Journal:  J Fish Biol       Date:  2009-06       Impact factor: 2.051

8.  Is the geographic distribution of nesting in the Kemp's ridley turtle shaped by the migratory needs of offspring?

Authors:  Nathan F Putman; Thomas J Shay; Kenneth J Lohmann
Journal:  Integr Comp Biol       Date:  2010-05-11       Impact factor: 3.326

9.  Simulating transoceanic migrations of young loggerhead sea turtles: merging magnetic navigation behavior with an ocean circulation model.

Authors:  Nathan F Putman; Philippe Verley; Thomas J Shay; Kenneth J Lohmann
Journal:  J Exp Biol       Date:  2012-06-01       Impact factor: 3.312

10.  On the dispersal of leatherback turtle hatchlings from Mesoamerican nesting beaches.

Authors:  George L Shillinger; Emanuele Di Lorenzo; Hao Luo; Steven J Bograd; Elliott L Hazen; Helen Bailey; James R Spotila
Journal:  Proc Biol Sci       Date:  2012-02-29       Impact factor: 5.349

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  22 in total

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Authors:  Kevin J Painter; Thomas Hillen
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

2.  Finding the 'lost years' in green turtles: insights from ocean circulation models and genetic analysis.

Authors:  Nathan F Putman; Eugenia Naro-Maciel
Journal:  Proc Biol Sci       Date:  2013-08-14       Impact factor: 5.349

3.  Fish navigation of large dams emerges from their modulation of flow field experience.

Authors:  R Andrew Goodwin; Marcela Politano; Justin W Garvin; John M Nestler; Duncan Hay; James J Anderson; Larry J Weber; Eric Dimperio; David L Smith; Mark Timko
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

4.  Active dispersal in loggerhead sea turtles (Caretta caretta) during the 'lost years'.

Authors:  D K Briscoe; D M Parker; G H Balazs; M Kurita; T Saito; H Okamoto; M Rice; J J Polovina; L B Crowder
Journal:  Proc Biol Sci       Date:  2016-06-15       Impact factor: 5.349

5.  Predicting the distribution of oceanic-stage Kemp's ridley sea turtles.

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Journal:  Biol Lett       Date:  2013-08-14       Impact factor: 3.703

6.  Identifying global favourable habitat for early juvenile loggerhead sea turtles.

Authors:  Cheryl S Harrison; Jessica Y Luo; Nathan F Putman; Qingfeng Li; Pooja Sheevam; Kristen Krumhardt; Jessica Stevens; Matthew C Long
Journal:  J R Soc Interface       Date:  2021-02-24       Impact factor: 4.118

7.  Identifying the key biophysical drivers, connectivity outcomes, and metapopulation consequences of larval dispersal in the sea.

Authors:  Eric A Treml; John R Ford; Kerry P Black; Stephen E Swearer
Journal:  Mov Ecol       Date:  2015-07-15       Impact factor: 3.600

8.  Hawksbill × loggerhead sea turtle hybrids at Bahia, Brazil: where do their offspring go?

Authors:  Maira C Proietti; Julia Reisser; Luis F Marins; Maria A Marcovaldi; Luciano S Soares; Danielle S Monteiro; Sarath Wijeratne; Charitha Pattiaratchi; Eduardo R Secchi
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Authors:  Carlos Carreras; Brendan J Godley; Yolanda M León; Lucy A Hawkes; Ohiana Revuelta; Juan A Raga; Jesús Tomás
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10.  Sun-Compass Orientation in Mediterranean Fish Larvae.

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