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dc.contributor.authorRobbins, JR
dc.contributor.authorBabey, L
dc.contributor.authorEmbling, Clare
dc.date.accessioned2021-01-05T22:39:16Z
dc.date.issued2020-02-28
dc.identifier.issn2167-8359
dc.identifier.issn2167-8359
dc.identifier.othere8335
dc.identifier.urihttp://hdl.handle.net/10026.1/16782
dc.description.abstract

<jats:sec> <jats:title>Background</jats:title> <jats:p>Citizen science is increasingly popular and has the potential to collect extensive datasets at lower costs than traditional surveys conducted by professional scientists. Ferries have been used to collect data on cetacean populations for decades, providing long-term time series for monitoring of cetacean populations. One cetacean species of concern is the common dolphin, which has been found stranded around the north-east Atlantic in recent years, with high numbers on French coasts being attributed to fisheries bycatch. We estimate common dolphin densities in the north-east Atlantic and investigate the ability of citizen science data to identify changes in marine mammal densities and areas of importance.</jats:p> </jats:sec> <jats:sec> <jats:title>Materials and Methods</jats:title> <jats:p>Data were collected by citizen scientists on ferries between April and October in 2006–2017. Common dolphin sightings data from two ferry routes across three regions, Bay of Biscay (<jats:italic>n</jats:italic> = 569); south-west United Kingdom to the Isles of Scilly in the Celtic Sea (<jats:italic>n</jats:italic> = 260); and English Channel (<jats:italic>n</jats:italic> = 75), were used to estimate density across ferry routes. Two-stage Density Surface Models accounted for imperfect detection, and tested the influence of environmental (chlorophyll <jats:italic>a</jats:italic>, sea surface temperature, depth, and slope), spatial (latitude and longitude) and temporal terms (year and Julian day) on occurrence.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Overall detection probability was highest in the areas sampled within the English Channel (0.384) and Bay of Biscay (0.348), and lowest on the Scilly’s route (0.158). Common dolphins were estimated to occur in higher densities on the Scilly’s route (0.400 per km<jats:sup>2</jats:sup>) and the Bay of Biscay (0.319 per km<jats:sup>2</jats:sup>), with low densities in the English Channel (0.025 per km<jats:sup>2</jats:sup>). Densities on the Scilly’s route appear to have been relatively stable since 2006 with a slight decrease in 2017. Densities peaked in the Bay of Biscay in 2013 with lower numbers since. Densities in the English Channel appear to have increased over time since 2009.</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion</jats:title> <jats:p>This study highlights the effectiveness of citizen science data to investigate the distribution and density of cetaceans. The densities and temporal changes shown by this study are representative of those from wider-ranging robust estimates. We highlight the ability of citizen science to collect data over extensive periods of time which complements dedicated, designed surveys. Such long-term data are important to identify changes within a population; however, citizen science data may, in some situations, present challenges. We provide recommendations to ensure high-quality data which can be used to inform management and conservation of cetacean populations.</jats:p> </jats:sec>

dc.format.extente8335-e8335
dc.format.mediumElectronic-eCollection
dc.languageen
dc.language.isoen
dc.publisherPeerJ
dc.subjectCitizen science
dc.subjectCetacean
dc.subjectPlatforms of opportunity
dc.subjectCommon dolphin
dc.subjectBycatch
dc.subjectDistance sampling
dc.subjectDensity surface model
dc.titleCitizen science in the marine environment: estimating common dolphin densities in the north-east Atlantic
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000517197700002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue0
plymouth.volume8
plymouth.publisher-urlhttps://peerj.com/articles/8335/
plymouth.publication-statusPublished online
plymouth.journalPeerJ
dc.identifier.doi10.7717/peerj.8335
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/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeUnited States
dcterms.dateAccepted2019-12-03
dc.rights.embargodate2021-1-7
dc.identifier.eissn2167-8359
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.7717/peerj.8335
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-02-28
rioxxterms.typeJournal Article/Review


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