Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.advisorRendell, Luke
dc.contributor.advisorBrookes, Kate
dc.contributor.authorPalmer, Kaitlin
dc.coverage.spatial232en_US
dc.date.accessioned2024-05-28T16:43:13Z
dc.date.available2024-05-28T16:43:13Z
dc.date.issued2020-07-29
dc.identifier.urihttps://hdl.handle.net/10023/29945
dc.description.abstractBottlenose dolphins in eastern Scotland are a protected and wide-ranging population exposed to a variety of stressors throughout their available habitat. Previously, most studies have focused effort on areas where animals are known to congregate. These areas are easily accessible and cost-effective for visual surveys. However, there is a need to understand the behaviour and habitat use of the population throughout its habitat. In response to this need, the Scottish Government initiated the East Coast Marine Mammal Acoustic Study consisting of 40 passive acoustic monitoring devices deployed along the coastline. While acoustic loggers are a cost-effective way of collecting longitudinal information, the returned data are subject to fluctuating detection probability and species misclassification. Subsequently there are two aims in this thesis. First, I seek to validate the use of autonomous detectors in large- scale and long-term studies where multiple species are present. This includes building a classifier to discriminate between groups of acoustically dissimilar species and investigating how transmission loss and ambient noise could bias occupancy results. Second, occupancy data from the array are analysed in order to understand spatial and temporal trends in habitat use and behaviour. The outputs of this thesis include an acoustic classification system capable of increasing the taxonomic resolution achievable in autonomous logger outputs and a framework for investigating detection probability in a complex acoustic system. The resulting habitat models were consistent with previous surveys showing that that depth and distance to the coast were important predictors for bottlenose dolphin presence. Finally, I found differing patterns in diel activity between a known foraging location and habitat not associated with foraging. Results from this thesis will provide tools for future researchers seeking to use passive acoustic monitoring techniques as well as baseline information about bottlenose dolphin habitat use and behaviour across the Scottish coastline.en_US
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.relationPalmer, K. J., Brookes, K., & Rendell, L. (2017). Categorizing click trains to increase taxonomic precision in echolocation click loggers. Journal of the Acoustical Society of America, 142(2), 863-877. https://doi.org/10.1121/1.4996000en
dc.relation
dc.relationPalmer, K., Brookes, K. L., Davies, I. M., Edwards, E., & Rendell, L. E. (2019). Habitat use of a coastal delphinid population investigated using passive acoustic monitoring. Aquatic Conservation: Marine and Freshwater Ecosystems, 29(S1), 254-270. https://doi.org/10.1002/aqc.3166 [https://hdl.handle.net/10023/20568 : Open Access version]en
dc.relation.urihttps://doi.org/10.1121/1.4996000
dc.relation.urihttps://hdl.handle.net/10023/20568
dc.subject.lccQL737.C432P2
dc.subject.lcshBottlenose dolphin--Monitoringen
dc.subject.lcshBottlenose dolphin--Behavioren
dc.subject.lcshAcoustic localizationen
dc.titleLarge-scale and long-term passive acoustic monitoring of coastal bottlenose dolphinsen_US
dc.typeThesisen_US
dc.contributor.sponsorUniversity of St Andrews. School of Biologyen_US
dc.contributor.sponsorMarine Scotland Scienceen_US
dc.contributor.sponsorMarine Alliance for Science and Technology for Scotland (MASTS)en_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.identifier.doihttps://doi.org/10.17630/sta/932


This item appears in the following Collection(s)

Show simple item record