{"vid":"156962","uid":"2","title":"Seals and shipping: Quantifying population risk and individual exposure to vessel noise.","log":"Created by jensr.","status":"1","comment":"0","promote":"0","sticky":"0","ds_switch":"","nid":"28149","type":"data_source","language":"und","created":"1788529290","changed":"1788529290","tnid":"0","translate":"0","revision_timestamp":"1788529290","revision_uid":"2","body":{"und":[{"value":"
    \r\n\t
  1. 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. \r\n\t
  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. \r\n\t
  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. \r\n\t
  4. Predicted cumulative sound exposure level, cSELs(Mpw), over all seals was 176\u00b78 dB re 1 \u03bcPa2 s (95% CI 163\u00b73\u2013190\u00b74), ranging from 170\u00b72 dB re 1\u03bcPa2 s (95% CI 168\u00b74\u2013171\u00b79) to 189\u00b73 dB re 1 \u03bcPa2 s (95% CI 172\u00b76\u2013206\u00b70) for individuals. This represented an increase in 28\u00b73 dB re 1 \u03bcPa2 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\u00b77 dB re 1 \u03bcPa (\u00b13\u00b73).
    5. \r\n\t
  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.
    6. \r\n
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    \n
  1. 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. \n
  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. \n
  3. Across the British Isles, rates of co-occurrence were highest within 50\u00a0km 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. \n
  4. Predicted cumulative sound exposure level, cSELs(Mpw), over all seals was 176\u00b78\u00a0dB re 1\u00a0\u03bcPa2\u00a0s (95% CI 163\u00b73\u2013190\u00b74), ranging from 170\u00b72\u00a0dB re 1\u03bcPa2\u00a0s (95% CI 168\u00b74\u2013171\u00b79) to 189\u00b73\u00a0dB re 1\u00a0\u03bcPa2\u00a0s (95% CI 172\u00b76\u2013206\u00b70) for individuals. This represented an increase in 28\u00b73\u00a0dB re 1\u00a0\u03bcPa2\u00a0s 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\u00b77\u00a0dB re 1\u00a0\u03bcPa (\u00b13\u00b73).
    5. \n
  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.
    6. \n
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