Delaval, AurélienBendall, VictoriaHetherington, Stuart J.Skaug, Hans J.Frost, MichelleJones, Catherine S.Noble, Leslie R.2024-03-212024-03-212023-02Delaval, A, Bendall, V, Hetherington, S J, Skaug, H J, Frost, M, Jones, C S & Noble, L R 2023, 'Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch population', Evolutionary Applications, vol. 16, no. 2, pp. 461-473. https://doi.org/10.1111/eva.134741752-4563https://hdl.handle.net/2164/23085Funding Information: We are grateful to the various stakeholders involved in the Celtic Sea blue skate monitoring programme, in particular to the crew aboard the FV Govenek of Ladram. We thank Martina Kopp for her assistance in the laboratory, Andrzej Kilian and the Diversity Arrays Technology team (DArT Pty. Ltd., Canberra, Australia) for performing the genotyping work, and Daniel Ruzzante, Eric Anderson, Mark Bravington, and Robin Waples for their inputs during the early stages of the project at a CKMR workshop at Dalhousie University, Halifax, Canada. MF and CSJ received funding from the MASTS (The Marine Alliance for Science and Technology for Scotland), and their support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions. Our thanks also go to Professor Francis Neat for his expertise and advice on Scottish blue skates, and to Samuel Iglésias and Thomas Barreau for sharing valuable insights from their studies on Celtic Sea blue skate.131202034engSDG 14 - Life Below Waterabundance estimationblue skateclose-kin mark-recaptureconservationelasmobranchfisheriesQH301 BiologyEcology, Evolution, Behavior and SystematicsGeneticsGeneral Agricultural and Biological SciencesScottish Funding CouncilHR09011Supplementary DataQH301Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch populationJournal article10.1111/eva.13474http://www.scopus.com/inward/record.url?scp=85137378858&partnerID=8YFLogxK162