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dc.contributor.authorJames, M
dc.contributor.authorPolton, J
dc.contributor.authorMayorga-Adame, G
dc.contributor.authorHowell, Kerry
dc.contributor.authorKnights, Antony
dc.date.accessioned2023-01-16T16:10:14Z
dc.date.issued2022-12-12
dc.identifier.issn1872-7026
dc.identifier.issn1872-7026
dc.identifier.other110252
dc.identifier.urihttp://hdl.handle.net/10026.1/20178
dc.description.abstract

Predicting dispersal and quantifying ecological connectivity are increasingly referenced as fundamental to understanding how biodiversity is structured across space and time. Dispersal models can provide insight, but their predictions are influenced by our capacity to simulate the biology and physics known to influence dispersal. In a marine context, vertical swimming behaviour is considered important in influencing the spatial organisation of species across seascapes, but the mechanisms underpinning these movements remain unresolved, making it unclear how best to incorporate behaviour within models. Here, using a 3-D hydrodynamic model coupled with a Lagrangian particle tracker, we show how different modelled larval behaviours, alongside spatial and temporal hydrodynamic changes, influence larval dispersal predictions. Additionally, we compare the application of a novel approach of reverse-engineered larval swimming behaviour against two commonly modelled behaviours: passive dispersal and tidal vertical migration (TVM). We used statistical models (LME and GAM) to test the effects of change in tidal state conditions, season, and planktonic larval duration in conjunction with behavioural parameters on dispersal. For shorter PLDs (i.e., 1 day), we find that passive models match ‘behaving’ model outputs, but for longer PLDs, excluding behaviour leads to overestimates of dispersal; an effect that increases with time. Our results highlight the sensitivity of biophysical models to behavioural inputs, specifically how vertical migration behaviour can significantly reduce dispersal distance - especially for species with longer planktonic durations. This study demonstrates the disproportionate effects that even a single behaviour - vertical swimming - can have on model predictions, our understanding of ecosystem functioning, and ultimately, the ecological coherence of marine systems.

dc.format.extent110252-110252
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectLarval dispersal
dc.subjectLarval behavior
dc.subjectLagrangian modelling
dc.subjectBiophysical modelling
dc.titleAssessing the influence of behavioural parameterisation on the dispersal of larvae in marine systems
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000905160800007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume476
plymouth.publication-statusPublished
plymouth.journalEcological Modelling
dc.identifier.doi10.1016/j.ecolmodel.2022.110252
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dcterms.dateAccepted2022-12-12
dc.rights.embargodate2023-1-17
dc.identifier.eissn1872-7026
rioxxterms.versionofrecord10.1016/j.ecolmodel.2022.110252
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2022-12-12
rioxxterms.typeJournal Article/Review


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