137 research outputs found

    Dolphin social phenotypes vary in response to food availability but not climate

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    Acknowledgements We are indebted to Paul Thompson for conception and development of this long-term individual based research study, and for advice during this work. We are especially grateful to our colleagues at the Lighthouse Field Station, past and present, who have contributed to and advanced this long-term study. Matthew Silk, Dan Blumstein, and two anonymous reviewers made numerous useful comments and suggestions on an earlier draft. This long-term study has depended upon a number of funders including University of Aberdeen, NatureScot, Beatrice Offshore Windfarm Ltd., Moray Offshore Renewables Ltd., Marine Scotland, the Crown Estate, Highlands and Islands Enterprise, the BES, ASAB, Greenpeace Environmental Trust, Whale and Dolphin Conservation, Talisman Energy (UK) Ltd., Department of Energy and Climate Change, Chevron and Natural Environment Research. Survey work was conducted under NatureScot Animal Scientific Licences. We have no conflicts of interest.Peer reviewedPostprin

    Increasing trends in fecundity and calf survival of bottlenose dolphins in a marine protected area

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    We are indebted to Bill Kendall who provided critical input to the development of these analyses while LSC was visiting Colorado State University. Scottish Natural Heritage, Whale and Dolphin Conservation, Talisman Energy (UK) Ltd., Department of Energy and Climate Change, Chevron, Beatrice Offshore Windfarm Ltd., Moray Offshore Renewables Ltd., Marine Scotland, The Crown Estate and Highlands and Islands Enterprise all provided funding for photo-identification surveys. Many thanks to all the colleagues who have helped collect data for this long-term study. Survey work was conducted under Scottish Natural Heritage Animal Scientific Licences.Peer reviewedPublisher PD

    Far-field effects of impulsive noise on coastal bottlenose dolphins

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    ACKNOWLEDGMENTS We would like to thank Bill Ruck, Moray First Marine and colleagues from the University of Aberdeen for assistance with the data collection. We are also grateful to Drs. Nathan Merchant and Adrian Farcas (CEFAS) for the provision of the data on the noise modeling and their valuable comments during the development of this work. The project benefited at all stages from input provided by the scientific steering groups and stakeholder groups established by UK and Scottish Governments to support the work conducted around these regional oil and gas and renewables projects. FUNDING Financial support for this study was provided through a series of consortia funded projects that involved the UK Department of Energy and Climate Change (DECC), Scottish Government, Oil and Gas UK Ltd., COWRIE, NatureScot, The Crown Estate, Highlands and Islands Enterprise, Beatrice Offshore Wind Ltd., and Moray Offshore Wind Farm (East) Ltd. OFB was funded by the Fundación “la Caixa” (Becas Posgrado, 2015) and their support was greatly appreciated. The authors declare that this study received funding from three commercial developers: Oil and Gas UK Ltd., Beatrice Offshore Wind Ltd., and Moray Offshore Wind Farm (East) Ltd. However, these funding bodies had no input into the study design, data collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.Peer reviewedPublisher PD

    UNLV Magazine

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    Variation in foraging activity influences area-restricted search behaviour by bottlenose dolphins

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    Open Access via the Royal Society Agreement Beatrice Offshore Wind Ltd COWRIE Department of Energy & Climate Change, Scottish Government Fundación la Caixa (becas Posgrado, 2015) Marine Mammal Monitoring Programme (MMMP) Marine Scotland Science Moray Offshore Wind Farm (East) Ltd NatureScot Funding This project was made possible through the integration of O.F.B.'s PhD into a broader NatureScot and joint industry funded Marine Mammal Monitoring Programme (MMMP) that supports statutory monitoring of the Moray Firth SAC and offshore windfarm construction. We thank NatureScot, Marine Scotland Science, Beatrice Offshore Wind Ltd, Moray Offshore Wind Farm (East) Ltd, Department of Energy & Climate Change, Scottish Government, Oil & Gas UK and COWRIE for contributing funds or equipment to the MMMP. O.F.B. was funded through a studentship from the Fundación ‘la Caixa’ (Becas Posgrado, 2015). I.M.G., B.J.C. and P.M.T. were core funded by the University of Aberdeen but with salary support for the period of this study though contract to MMMP. V.I.M. and S.M.P. were funded through the MMMP. R.X.C. was core funded by Leibniz Institute for Zoo and Wildlife Research (IZW). Acknowledgements The authors gratefully acknowledge the support of the Maxwell High Performance Computing Cluster, funded by the University of Aberdeen, during the development of DOLPHIN-SPOT. We would also like to thank Claudia Aparicio Estaella for her help during the validation of the automatic detector. We acknowledge Bill Ruck, Moray First Marine and colleagues from the University of Aberdeen for assistance with the data collection and anonymous reviewers for comments that helped improve the manuscript.Peer reviewedPublisher PD

    A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species

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    We thank the countless individuals who collected and/or processed the nearly 85,000 images used in this study and those who assisted, particularly those who sorted these images from the millions that did not end up in the catalogues. Additionally, we thank the other Kaggle competitors who helped develop the ideas, models and data used here, particularly those who released their datasets to the public. The graduate assistantship for Philip T. Patton was funded by the NOAA Fisheries QUEST Fellowship. This paper represents HIMB and SOEST contribution numbers 1932 and 11679, respectively. The technical support and advanced computing resources from University of Hawaii Information Technology Services—Cyberinfrastructure, funded in part by the National Science Foundation CC* awards # 2201428 and # 2232862 are gratefully acknowledged. Every photo–identification image was collected under permits according to relevant national guidelines, regulation and legislation.Peer reviewedPublisher PD
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