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Application of the Acoustic Propagation Model to a deep-water cross-shelf curtain

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dc.contributor Macquarie University
dc.contributor University of Tasmania
dc.contributor Flinders Univ S Australia
dc.contributor Vemco
dc.contributor Ctr Trop Water & Aquat Ecosyst Res
dc.contributor Fisheries & Aquaculture Ctr
dc.contributor CSIRO Oceans & Atmosphere
dc.contributor Australian Institute of Marine Science
dc.contributor Coll Sci Technol & Engn
dc.contributor Commonwealth Scientific & Industrial Research Organisation (CSIRO)
dc.contributor Flinders University South Australia
dc.contributor Macquarie Univ
dc.contributor Ctr Sustainable Trop Fisheries & Aquaculture
dc.contributor Inst Marine & Antarctic Studies
dc.contributor Sch Biol Sci
dc.contributor Australian Inst Marine Sci
dc.contributor James Cook Univ
dc.contributor Univ Tasmania
dc.contributor Coll Marine & Environm Sci
dc.contributor James Cook University
dc.contributor Dept Biol Sci
dc.contributor.author Stieglitz, Thomas
dc.contributor.author Simpfendorfer, Colin A.
dc.contributor.author Vallee, Richard
dc.contributor.author Hobday, Alistair J.
dc.contributor.author Semmens, Jayson
dc.contributor.author Harcourt, Robert
dc.contributor.author Heupel, Michelle R.
dc.contributor.author Stehfest, Kilian M.
dc.contributor.author Webber, Dale
dc.contributor.author Huveneers, Charlie
dc.contributor.author Pederson, Hugh
dc.date.accessioned 2017-11-05T18:59:23Z
dc.date.accessioned 2017-11-15T03:10:00Z
dc.date.available 2017-11-05T18:59:23Z
dc.date.available 2017-11-15T03:10:00Z
dc.date.issued 2017-10-01
dc.identifier.citation Huveneers C, Stehfest KM, Simpfendorfer CA, Semmens J, Hobday AJ, Pederson H, Stieglitz T, Vallee R, Webber D, Heupel MR, Harcourt R (2017) Application of the Acoustic Propagation Model to a deep-water cross-shelf curtain. Methods in Ecology and Evolution 8(10): 1305-1308
dc.identifier.issn 2041-210X
dc.identifier.uri http://epubs.aims.gov.au/11068/11663
dc.description.abstract A good understanding of acoustic coverage and temporal variation relative to environmental conditions is crucial for accurate interpretation of results from acoustic tracking studies and ensuing appropriate management recommendations. In their recent paper, Gjelland & Hedger (Methods in Ecology and Evolution, 2017) suggest that the general detection probability model proposed by Gjelland & Hedger (Methods in Ecology and Evolution, 2013, 4, 665-674) was not appropriately used in Huveneers et al. (Methods in Ecology and Evolution, 2016, 7, 825-835). The intent of the comparison in Huveneers et al. (2016) was to evaluate the Acoustic Propagation Model (APM) in a situation when parameterisation is not logistically feasible. This can be the case when reference tags have not been deployed, or when the distance between tagged animals and receivers cannot be accurately estimated or cannot be obtained under sufficiently varied weather conditions. Even when parameterisation is possible, there will be situations where the APM does not account for all factors affecting detection probability, e.g. deep-water receivers where density gradients can affect sound propagation. Re-parameterisation of the APM based on clarification in Gjelland & Hedger (2017) and application to a deep-water cross-shelf receiver array showed similar detection range to a logistic model until about (similar to)750m distance, after which the APM resulted in unrealistically high detection probability estimates. The need for large amounts of data to parameterise the APM and achieve good statistical fit negates the value of the theoretical propagation model. Detection range can also be affected by a broad range of factors, many of which are not included within the APM. The complexity of the way different environmental factors can influence acoustic detections and the variability of environments in which acoustic tracking studies are undertaken make it challenging to develop a general model applicable across environments. We support further improvement of the APM and recommend the use of reference tags to collect necessary data to parameterise the APM and assess factors influencing detection probability.
dc.description.sponsorship Data was sourced from the Integrated Marine Observing System (IMOS) - IMOS is a national collaborative research infrastructure, supported by Australian Government. We thank Karl Gjelland for useful discussions about the APM. Karl Gjelland and Xavier Hoenner assisted with the R script used to parameterise the APM. Two anonymous reviewers are also thanked for their comments which improved the manuscript.
dc.language English
dc.subject IMOS Animal Tracking
dc.subject reference tags
dc.subject acoustic telemetry
dc.subject Environmental Sciences & Ecology
dc.subject sentinel tags
dc.subject detection probability
dc.subject detection range
dc.subject Ecology
dc.title Application of the Acoustic Propagation Model to a deep-water cross-shelf curtain
dc.type journal article
dc.identifier.doi 10.1111/2041-210X.12806
dc.identifier.wos WOS:000412858600015


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