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dc.contributor.authorJones, Esther L.
dc.contributor.authorHastie, Gordon D.
dc.contributor.authorSmout, Sophie
dc.contributor.authorOnoufriou, Joseph
dc.contributor.authorMerchant, Nathan D.
dc.contributor.authorBrookes, Kate L.
dc.contributor.authorThompson, David
dc.identifier.citationJones , E L , Hastie , G D , Smout , S , Onoufriou , J , Merchant , N D , Brookes , K L & Thompson , D 2017 , ' Seals and shipping : quantifying population risk and individual exposure to vessel noise ' , Journal of Applied Ecology , vol. 54 , no. 6 , pp. 1930-1940 .
dc.identifier.otherORCID: /0000-0002-4409-5860/work/32284239
dc.identifier.otherORCID: /0000-0002-9773-2755/work/54819193
dc.identifier.otherORCID: /0000-0003-1546-2876/work/56862181
dc.descriptionThe work was funded under Scottish Government grant MMSS/001/11 and contract CR/2014/04, and supported by National Capability funding from NERC to SMRU (grant no. SMRU1001). Seal at-sea usage maps, location data for individual seals, locations and source levels for vessels, and SPLs from monitoring data used for acoustic validations are available from the Pure repository,
dc.description.abstract1.  Vessels can have acute and chronic impacts on marine species. The rate of increase in commercial shipping is accelerating, and there is a need to quantify and potentially manage the risk of these impacts. 2.  Usage maps characterising densities of grey and harbour seals and ships around the British Isles were used to produce risk maps of seal co-occurrence with shipping traffic. Acoustic exposure to individual harbour seals was modelled in a study area using contemporaneous movement data from 28 animals fitted with UHF global positioning satellite telemetry tags and automatic identification system data from all ships during 2014 and 2015. Data from four acoustic recorders were used to validate sound exposure predictions. 3.  Across the British Isles, rates of co-occurrence were highest within 50 km of the coast, close to seal haul-outs. Areas identified with high risk of exposure included 11 Special Areas of Conservation (SAC; from a possible 25). Risk to harbour seal populations was highest, affecting half of all SACs associated with the species. 4.  Predicted cumulative sound exposure level, cSELs(Mpw), over all seals was 176·8 dB re 1 μPa2 s (95% CI 163·3–190·4), ranging from 170·2 dB re 1μPa2 s (95% CI 168·4–171·9) to 189·3 dB re 1 μPa2 s (95% CI 172·6–206·0) for individuals. This represented an increase in 28·3 dB re 1 μPa2 s over measured ambient noise. For 20 of 28 animals in the study, 95% CI for cSELs(Mpw) had upper bounds above levels known to induce temporary threshold shift. Predictions of broadband received sound pressure levels were underestimated on average by 0·7 dB re 1 μPa (±3·3). 5. Synthesis and applications. We present a framework to allow shipping noise, an important marine anthropogenic stressor, to be explicitly incorporated into spatial planning. Potentially sensitive areas are identified through quantifying risk to marine species of exposure to shipping traffic, and individual noise exposure is predicted with associated uncertainty in an area with varying rates of co-occurrence. The detailed approach taken here facilitates spatial planning with regard to underwater noise within areas protected through the Habitats Directive, and could be used to provide evidence for further designations. This framework may have utility in assessing whether underwater noise levels are at Good Environmental Status under the Marine Strategy Framework Directive.
dc.relation.ispartofJournal of Applied Ecologyen
dc.subjectHalichoerus grypusen
dc.subjectPhoca vitulinaen
dc.subjectSpatial overlapen
dc.subjectAcoustic propagationen
dc.subjectMarine stressoren
dc.subjectNoise pollutionen
dc.subjectQH301 Biologyen
dc.subjectQL Zoologyen
dc.subjectSDG 14 - Life Below Wateren
dc.titleSeals and shipping : quantifying population risk and individual exposure to vessel noiseen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.description.statusPeer revieweden
dc.identifier.grantnumberAgreement R8-H12-86en

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