Modelling foraging movements of diving predators : A theoretical study exploring the effect of heterogeneous landscapes on foraging efficiency

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Exploring the applicability of biological and socioeconomic tools in developing EAFM plans for data absent areas : Spinner dolphin EAFM for Kalpitiya, Sri Lanka

Acknowledgements University of Aberdeen, UK and Bay of Bengal Large Marine Ecosystems (BOBLME) project are acknowledged for partial funding of this research.Peer reviewedPostprin

Hydrodynamic Impacts of a Marine Renewable Energy Installation on the Benthic Boundary Layer in a Tidal Channel

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ScotMap : Participatory mapping of inshore fishing activity to inform marine spatial planning in Scotland

Acknowledgements The authors would like to thank all the fishermen interviewed who gave freely of their time, fisheries compliance staff, government scientists, contractors and fishing industry representatives for their heroic efforts conducting interviews. Furthermore, the authors would like to thank all the staff in Marine Scotland who staffed the data verification workshops. Lastly, the authors would also like to thank colleagues Gareth Jones, Robert Watret, and Liam Mason for their advice and support during the project. Marine Scotland has financially supported the data collection and conduct of research, as well as preparation and publishing of this article. The writing of this manuscript was also supported by the “Marine Collaboration Research Forum” writing retreat co-funded by Marine Scotland and the University of Aberdeen which took place in November 2015.Peer reviewedPublisher PD

Predictable hydrodynamic conditions explain temporal variations in the density of benthic foraging seabirds in a tidal stream environment

VC International Council for the Exploration of the Sea 2016. James J. Waggitt was funded by a NERC Case studentship supported by OpenHydro Ltd and Marine Scotland Science (NE/J500148/1). Shore-based surveys were funded by a NERC (NE/J004340/1) and a Scottish National Heritage (SNH) grant. FVCOM was funded by a NERC grant (NE/J004316/1). The bathymetry data used in hydrodynamic models (HI 1122 Sanday Sound to Westray Firth) was collected by the Maritime and Coastguard Agency (MCA) as part of the UK Civil Hydrography Programme. We wish to thank Christina Bristow, Matthew Finn and Jennifer Norris at the European Marine Energy Centre (EMEC); Ian Davies at Marine Scotland Science; Gail Davoren, Shaun Fraser, Pauline Goulet, Alex Robbins and Helen Wade for invaluable discussions; Thomas Cornulier, Alex Douglas, James Grecian and Samantha Patrick for their help with statistical analysis; and Jenny Campbell and the Cockram family for assistance during fieldwork.Peer reviewedPublisher PD

Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap

EPSRC grant Ecowatt 2050 EP/K012851/1 ACKNOWLEDGMENTS We would like to thank the associate editor and the anonymous reviewers for their useful and constructive suggestions which led to a considerable improvement of the manuscript. The authors would also like to thank the following people/organizations for making large datasets available for use in this paper: Mark Lewis (Joint Nature Conservation Committee), Philip Hammond (Scottish Oceans Institute, University of St. Andrews), Susan Lusseau (Marine Scotland Science), Darren Stevens (The Sir Alister Hardy Foundation for Ocean Science, PML), and Yuri Artioli (Plymouth Marine Laboratory). This work was supported by the Engineering and Physical Sciences Research Council (EcoWatt250; EPSRC EP/K012851/1).Peer reviewedPublisher PD

Should phytoplankton be a key consideration for marine management?

J F Tweddle was supported by MarCRF, the Marine Collaboration Research Forum jointly sponsored by the University of Aberdeen and Marine Scotland Science, and by the Natural Environment Research Council [NERC grant reference number NE/P005756/1]. We thank the anonymous reviewer for their comments, which have resulted in a much improved manuscriptPeer reviewedPublisher PD

Using individual tracking data to validate the predictions of species distribution models

The authors would like to thank the College of Life Sciences of Aberdeen University and Marine Scotland Science which funded CP's PhD project. Skate tagging experiments were undertaken as part of Scottish Government project SP004. We thank Ian Burrett for help in catching the fish and the other fishermen and anglers who returned tags. We thank José Manuel Gonzalez-Irusta for extracting and making available the environmental layers used as environmental covariates in the environmental suitability modelling procedure. We also thank Jason Matthiopoulos for insightful suggestions on habitat utilization metrics as well as Stephen C.F. Palmer, and three anonymous reviewers for useful suggestions to improve the clarity and quality of the manuscript.Peer reviewedPostprintPostprintPostprintPostprintPostprin

Application of a multibeam echosounder to document changes in animal movement and behaviour around a tidal turbine structure

Acknowledgements We acknowledge the support of Shaun Fraser, Vladimir Nikora, James Waggitt, Paul Bell, Ian Davies, Eric Armstrong, and staff at Marine Scotland Science and the European Marine Energy Centre. Hydrodynamic model data were provided by Pierre Cazenave and Ricardo Torres (Plymouth Marine Laboratory). The constructive and extensive comments from three reviewers of an earlier version of this manuscript are gratefully acknowledged. Funding This work was funded by NERC and Defra (NE/J004308/1, NE/J004200/1, NE/J004332/1, NE/N01765X/1), a NERC MREKEP Internship, Innovate UK KTP (KTP009812), and the UK Department for Business, Energy and Industrial Strategy’s offshore energy Strategic Environmental Assessment programme.Peer reviewedPublisher PD

Community Leadership Institute of Kentucky

The Community Leadership Institute of Kentucky(CLIK) aims to improve community research capacity to address health disparities in communities, particularly Appalachia. Established in 2014, through a partnership of the UK Center of Excellence in Rural Health, the UK Center for Clinical and Translational Science Community Engagement Program, and the Kentucky Office of Rural Health, the intensive four-week training provides: Training in research and leadership Funding for community research projects Technical support for up to one year as participants implement community research projects Up to 12 slots are available annually, with priority given to leaders from Appalachian Kentucky and to projects related to key areas of research interest, including: Cancer prevention (e.g., nutrition, physical activity, smoking cessation) Reducing obesity and sedentary lifestyle Prevention and management of chronic diseases (e.g., diabetes and cardiovascular disease) Prevention and treatment of substance abus