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Mateus, M; Fernandes, JA; Revilla, M; Ferrer, L; Villarreal, MR; Miller, PI; Schmidt, W; Maguire, J; Silva, A; Pinto, L. 2019 Early Warning Systems for Shellfish Safety: The Pivotal Role of Computational Science. Springer Nature, 11539. 361-375. https://doi.org/10.1007/978-3-030-22747-0_28
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Trevail, AM; Green, JA; Sharples, J; Polton, JA; Miller, PI; Daunt, F; Owen, E; Bolton, M; Colhoun, K; Newton, S; Robertson, G; Patrick, SC. 2019 Environmental heterogeneity decreases reproductive success via effects on foraging behaviour. Proceedings of the Royal Society B: Biological Sciences, 286 (1904). 20190795. https://doi.org/10.1098/rspb.2019.0795
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Suberg, LA; Miller, PI; Wynn, RB. 2019 On the use of satellite-derived frontal metrics in time series analyses of shelf-sea fronts, a study of the Celtic Sea. Deep Sea Research Part I: Oceanographic Research Papers. https://doi.org/10.1016/j.dsr.2019.04.011
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Miller, PI; Loveday, BR. 2017 Revealing the timing of ocean stratification using remotely sensed ocean fronts. [Lecture] In: SPIE Remote Sensing, Warsaw, Poland, 2017. Proceedings Volume 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, SPIE, 21.
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Kurekin, A; Loveday, BR; Clements, O; Quartly, GD; Miller, PI; Wiafe, G; Agyekum, KA. 2019 Operational Monitoring of Illegal Fishing in Ghana through Exploitation of Satellite Earth Observation and AIS Data. [in special issue: Remote Sensing of Target Detection in Marine Environment] Remote Sensing, 11 (2). 28, pp. https://doi.org/10.3390/rs11030293
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Hoover, AL; Liang, D; Alfaro-Shigueto, J; Mangel, J; Miller, PI; Morreale, S; Bailey, H; Shillinger, GL. 2019 Predicting residence time using a continuous‐time discrete‐space model of leatherback turtle satellite telemetry data. Ecosphere, 10 (3). https://doi.org/10.1002/ecs2.2644
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Selected key publications
Miller, P.I., Scales, K.L., Ingram, S.N., Southall, E.J. & Sims, D.W. (2015) Basking sharks and oceanographic fronts: quantifying associations in the north-east Atlantic. Functional Ecology, 29(8), 1099-1109. doi: 10.1111/1365-2435.12423
Miller, P.I. & Christodoulou, S. (2014) Frequent locations of ocean fronts as an indicator of pelagic diversity: application to marine protected areas and renewables. Marine Policy. 45, 318–329. doi: 10.1016/j.marpol.2013.09.009
Miller, P.I. (2009) Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data. Journal of Marine Systems, 78(3), 327-336. doi:10.1016/j.jmarsys.2008.11.019.
Scales, K.L., Miller, P.I., Hawkes, L.A., Ingram, S.N., Sims, D.W. & Votier, S.C. (2014) On the Front Line: frontal zones as priority at-sea conservation areas for mobile marine vertebrates. Journal of Applied Ecology, 51(6), 1575-1583. doi: 10.1111/1365-2664.12330
Queiroz, N., Humphries, N.E., Mucientes, G., Hammerschlag, N., Lima, F., Scales, K., Miller, P.I., Sousa, L.L., Seabra, R. & Sims, D.W. (2016) Ocean-wide tracking of pelagic sharks reveals extent of overlap with longline fishing hotspots. Proceedings of the National Academy of Sciences of USA, 113(6), 1582-1587. doi: 10.1073/pnas.1510090113.
Oppel, S., Meirinho, A., Ramírez, I., Gardner, B., O'Connell, A.F., Miller, P.I. & Louzao, M. (2012) Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds. Biological Conservation, 156, 94-104, doi: 10.1016/j.biocon.2011.11.013.