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dc.contributor.authorGraves, KP
dc.contributor.authorBridges, Amelia
dc.contributor.authorDabrowski, T
dc.contributor.authorFurey, T
dc.contributor.authorLyons, K
dc.contributor.authorHowell, Kerry
dc.date.accessioned2022-11-28T17:48:11Z
dc.date.available2022-11-28T17:48:11Z
dc.date.issued2022-11-02
dc.identifier.issn0967-0637
dc.identifier.issn1879-0119
dc.identifier.other103917
dc.identifier.urihttp://hdl.handle.net/10026.1/20025
dc.description.abstract

Identifying and understanding environmental drivers of deep-sea sponge aggregations is critical for effective protection and management. Current literature suggests an association between internal wave activity, regions of enhanced currents, and the distribution of deep-sea sponge aggregations. It is hypothesised that sponges utilise particulate organic matter associated with internal waves and enhanced currents and therefore aggregate in these regions. Random Forest algorithms – as well as preliminary Generalised Additive Models (GAMs) – were fitted to the presence-pseudo-absence and density datasets to characterise the relationship with each environmental variable. Additionally, residual autocovariate variables were calculated and included in models to account for spatial autocorrelation. All variables were statistically significant when GAMs were fitted to the presence-pseudo-absence datasets, but spatial autocorrelation could not be successfully accounted for. In contrast, a Random Forest model was fitted that also successfully accounted for spatial autocorrelation. No relationships were detected when GAMs were fitted to the density dataset – results confirmed by a poorly performing Random Forest model. Our findings suggest that average temperature variability is an important driver of P. carpenteri distribution and should be incorporated into habitat suitability models. However, available environmental data do not capture key drivers of P. carpenteri density, limiting our ability to model, and therefore identify areas where aggregations are likely to occur. This may reflect a mismatch in the spatial scales in which environmental and biological processes occur. We conclude that further research is required, particularly into feeding strategy and reproduction, to identify missing drivers of P. carpenteri density.

dc.format.extent103917-103917
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.subjectPheronema carpenteri
dc.subjectSponge aggregations
dc.subjectVulnerable marine ecosystems
dc.subjectInternal waves
dc.subjectEnvironmental drivers
dc.titleOceanographic variability drives the distribution but not the density of the aggregation forming deep-sea sponge Pheronema carpenteri
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001029080100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume191
plymouth.publication-statusPublished
plymouth.journalDeep Sea Research Part I: Oceanographic Research Papers
dc.identifier.doi10.1016/j.dsr.2022.103917
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.dateAccepted2022-10-26
dc.rights.embargodate2022-12-9
dc.identifier.eissn1879-0119
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.dsr.2022.103917
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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