Jorn Bruggeman

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  1. Skakala, J; Bruggeman, J; Brewin, RJW; Ford, D; Ciavatta, S. 2020 Improved representation of underwater light field and its impact on ecosystem dynamics: a study in the North Sea. Journal of Geophysical Research: Oceans. 1, pp. https://doi.org/10.1029/2020JC016122 (In Press)

  2. Powley, HR; Bruggeman, J; Hopkins, J; Smyth, TJ; Blackford, JC. 2020 Sensitivity of shelf sea marine ecosystems to temporal resolution of meteorological forcing. Journal of Geophysical Research: Oceans. 1-32. https://doi.org/10.1029/2019JC015922

  3. Cheung, WWL; Bruggeman, J; Butenschon, M. 2018 Chapter 4: Projected changes in global and national potential marine fisheries catch under climate change scenarios in the twenty-first century. Food & Agriculture Organization. (UNSPECIFIED)

  4. Talbot, E; Bruggeman, J; Hauton, C; Widdicombe, S. 2019 Uncovering the environmental drivers of short-term temporal dynamics in an epibenthic community from the Western English Channel. Journal of the Marine Biological Association of the United Kingdom. 1-13. https://doi.org/10.1017/S0025315419000663

  5. Lessin, G; Bruggeman, J; McNeill, CL; Widdicombe, S. 2019 Time scales of benthic macrofaunal response to pelagic production differ between major feeding groups. Frontiers in Marine Science, 6, supplement https://www.frontiersin.org/articles/10.3389/fmars.2019.00015/full#supplementary-material. 15, pp. https://doi.org/10.3389/fmars.2019.00015

  6. Leles, SG; Polimene, L; Bruggeman, J; Blackford, JC; Ciavatta, S; Mitra, A; Flynn, KJ. 2018 Modelling mixotrophic functional diversity and implications for ecosystem function. Journal Of Plankton Research. https://doi.org/10.1093/plankt/fby044

  7. Talbot, SE; Widdicombe, S; Hauton, C; Bruggeman, J. 2018 Adapting the dynamic energy budget (DEB) approach to include non-continuous growth (moulting) and provide better predictions of biological performance in crustaceans. ICES Journal of Marine Science. https://doi.org/10.1093/icesjms/fsy164

  8. Beecham, J; Bruggeman, J; Aldridge, J; Mackinson, S. 2016 Couplerlib: a metadata-driven library for the integration of multiple models of higher and lower trophic level marine systems with inexact functional group matching. Geoscientific Model Development, 9 (3). 947-964. https://doi.org/10.5194/gmd-9-947-2016

  9. Yakushev, EV; Protsenko, EA; Bruggeman, J; Wallhead, P; Pakhomova, SV; Yakubov, SK; Bellerby, RGJ; Couture, R-M. 2017 Bottom RedOx Model (BROM v.1.1): a coupled benthic–pelagic model for simulation of water and sediment biogeochemistry. Geoscientific Model Development, 10 (1). 453-482. https://doi.org/10.5194/gmd-10-453-2017

  10. McClelland, HLO; Bruggeman, J; Hermoso, M; Rickaby, REM. 2017 The origin of carbon isotope vital effects in coccolith calcite. Nature Communications, 8. 14511. https://doi.org/10.1038/ncomms14511