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dc.contributor.authorDavies, BFR
dc.contributor.authorAttrill, MJ
dc.contributor.authorHolmes, L
dc.contributor.authorRees, A
dc.contributor.authorWitt, MJ
dc.contributor.authorSheehan, EV
dc.date.accessioned2020-03-12T10:12:30Z
dc.date.issued2019-12-20
dc.description.abstractThe soundscape of the marine environment is a relatively understudied area of ecology that has the potential to provide large amounts of information on biodiversity, reproductive behaviour, habitat selection, spawning and predator–prey interactions. Biodiversity is often visually assessed and used as a proxy for ecosystem health. Visual assessment using divers or remote video methods can be expensive, and limited to times of good weather and water visibility. Previous studies have concluded that acoustic measures, such as the Acoustic Complexity Index (ACI), correlate with visual biodiversity estimates and offer an alternative to assess ecosystem health. Here, the ACI measured over 5 years in a Marine Protected Area (MPA) in the UK, Lyme Bay, was analysed alongside another monitoring method, Baited Remote Underwater Video Systems (BRUVs). Two treatments were sampled annually in the summer from 2014 until 2018 with sites inside the MPA, as well as Open Control sites outside of the MPA. Year by year correlations, which have been used elsewhere to test ACI, showed significant correlations with Number of Species and ACI. However, the sign of these correlations changed almost yearly, showing that more in-depth analyses are needed. Multivariate analysis of the benthic assemblage composition (from BRUVs) was carried out by Permutational Multivariate Analysis of Variance (PERMANOVA) using Distance Matrices. Although not consistently correlating with univariate measures, the ACI was significantly interacting with the changing benthic assemblage composition, as it changed over time and protection (Inside vs Outside the MPA). ACI showed potential to allude to shifting benthic communities, yet with no consistency when used alongside univariate measures of diversity. Although it is not without its own disadvantages, and thus should be developed further before implementation, the ACI could potentially reflect more complex changes to the benthos than simply the overall diversity.en_GB
dc.description.sponsorshipNatural Englanden_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.citationVol. 111, article 106019en_GB
dc.identifier.doi10.1016/j.ecolind.2019.106019
dc.identifier.grantnumberENG1388en_GB
dc.identifier.urihttp://hdl.handle.net/10871/120223
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 20 December 2020 in compliance with publisher policyen_GB
dc.rights© 2019. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectAcoustic Complexity Indexen_GB
dc.subjectBiodiversityen_GB
dc.subjectMarine Protected Areaen_GB
dc.subjectMonitoring Toolsen_GB
dc.titleAcoustic Complexity Index to assess benthic biodiversity of a partially protected area in the southwest of the UKen_GB
dc.typeArticleen_GB
dc.date.available2020-03-12T10:12:30Z
dc.identifier.issn1470-160X
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.journalEcological Indicatorsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2019-12-14
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-12-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-03-12T10:09:53Z
refterms.versionFCDAM
refterms.panelAen_GB


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© 2019. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2019. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/