People > Dr Jorn Bruggeman

Dr Jorn Bruggeman

Marine Ecosystem Modeller



Contact Details

+44 (0)1752 633434

jbr25/11/2017 11:18:47@pml.ac.uk

Jorn Bruggeman has worked as Senior Scientist at PML since 2013. His primary interest is the representation of species composition, biodiversity and size structure in marine ecosystem models. His work on this topic involves development of unified, species-agnostic population models, exploration of quantitative traits and trade-offs, and the development of efficient methods for simulating species diversity and adaptation. At PML, these ideas are combined to develop the European Regional Seas Ecosystem Model (ERSEM) into a modular model that adjusts its detail and complexity in response to scientific questions and computational constraints.

Jorn has a background in theoretical biology. He obtained his PhD, entitled “Succession in plankton communities: a trait-based perspective”, in 2009 at the Department of Theoretical Biology of the Vrije Universiteit Amsterdam. From 2009 till 2013, Jorn worked at the Department of Earth Sciences, University of Oxford as Junior Research Fellow attached to St. John’s College.

Projects

FAO-PML collaboration

FAO-PML collaboration

Contact: Dr Jorn Bruggeman

The aim of this work is to provide estimates of total fish biomass for the Exclusive Economic Zones (EEZ) of the world’s oceans in order to...

ERSEM (European Regional Seas Ecosystem Model)

ERSEM (European Regional Seas Ecosystem Model)

Contact: Professor Icarus Allen

An ecosystem model is an abstract, usually mathematical, representation of an ecological system, which is studied to gain understanding of the real...

Other key projects

MERP - Marine Ecosystems Research Programme (NERC/Defra)


Recent publications

  • 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. 10.5194/gmd-9-947-2016
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  • 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. 10.5194/gmd-10-453-2017
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  • McClelland, HLO; Bruggeman, J; Hermoso, M; Rickaby, REM. 2017 The origin of carbon isotope vital effects in coccolith calcite. Nature Communications, 8. 14511. 10.1038/ncomms14511
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  • Janssen, ABG; Arhonditsis, GB; Beusen, A; Bolding, K; Bruce, L; Bruggeman, J; Couture, RM; Downing, AS; Alex Elliott, J; Frassl, MA; Gal, G; Gerla, DJ; Hipsey, MR; Hu, F; Ives, SC; Janse, JH; Jeppesen, E; Jöhnk, KD; Kneis, D; Kong, X; Kuiper, JJ; Lehmann, MK; Lemmen, C; Özkundakci, D; Petzoldt, T; Rinke, K; Robson, BJ; Sachse, R; Schep, SA; Schmid, M; Scholten, H; Teurlincx, S; Trolle, D; Troost, TA; Van Dam, AA; Van Gerven, LPA; Weijerman, M; Wells, SA; Mooij, WM. 2015 Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective. Aquatic Ecology, 49 (4). 513-548. 10.1007/s10452-015-9544-1
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  • Hu, F; Bolding, K; Bruggeman, J; Jeppesen, E; Flindt, MR; van Gerven, L; Janse, JH; Janssen, ABG; Kuiper, JJ; Mooij, WM; Trolle, D. 2016 FABM-PCLake – linking aquatic ecology with hydrodynamics. Geoscientific Model Development, 9 (6). 2271-2278. 10.5194/gmd-9-2271-2016
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  • Torres, R; Cazenave, P; Bruggeman, J; Artioli, Y; Butenschon, M. 2017 Ecosystem modelling in support of Marine Spatial Planning and governance. [Poster] In: 2nd International Conference on Marine Spatial Planning, Paris, 15-17 March 2017. (Unpublished)
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Selected key publications

Terseleer N, Bruggeman J, Lancelot C, Gypens N. In press. Trait-based representation of diatom functional diversity in a Plankton Functional Type model of the eutrophied Southern North Sea. Limnology and Oceanography

Bruggeman J, Bolding K. In press. A general framework for aquatic biogeochemical models. Environmental Modelling & Software. DOI: 10.1016/j.envsoft.2014.04.002

Young JN, Bruggeman J, Rickaby REM, Erez J, Conte M. 2013. Evidence for changes in carbon isotopic fractionation by phytoplankton between 1960 and 2010. Global Biogeochemical Cycles 27: 505–515. DOI: 10.1002/gbc.20045

Trolle D, Hamilton DP, Hipsey MR, Bolding K, Bruggeman J, Mooij WM, Janse JH, Nielsen A, Jeppesen E, Elliott A, and others. A community-based framework for aquatic ecosystem models. 2012. Hydrobiologia 683 (1): 25-34. DOI: 10.1007/s10750-011-0957-0

Bruggeman J. 2011. A phylogenetic approach to the estimation of phytoplankton traits. Journal of Phycology 47(1): 52-65. DOI: 10.1111/j.1529-8817.2010.00946.x

Saba VS, Friedrichs MAM, Carr M-E, Antoine D, Armstrong RA, Asanuma I, Aumont O, Bates NR, Behrenfeld MJ, Bennington V, Bopp L, Bruggeman J and others. 2010. Challenges of modeling depth-integrated marine primary productivity over multiple decades: A case study at BATS and HOT. Global Biogeochemical Cycles 24, GB3020. DOI: 10.1029/2009GB003655

Bruggeman J, Heringa J, Brandt BW. 2009. PhyloPars: estimation of missing parameters values using phylogeny. Nucleic Acids Research 37(Web Server issue): W179-W184. DOI: 10.1093/nar/gkp370

Merico A, Bruggeman J, Wirtz KW. 2009. A trait-based approach for downscaling complexity in plankton ecosystem models. Ecological Modelling 220(21): 3001-3010. DOI: 10.1016/j.ecolmodel.2009.05.005

Omta AW, Bruggeman J, Kooijman SALM, Dijkstra H. 2009. The organic carbon pump in the Atlantic. Journal of Sea Research 62: 179–187. DOI: 10.1016/j.seares.2009.06.005

Bruggeman J, Kooijman SALM. 2007. A biodiversity-inspired approach to aquatic ecosystem modeling. Limnology and Oceanography 52: 1533-1544. DOI: 10.4319/lo.2007.52.4.1533
 

Other activities

Member of the international advisory board of the Centre for Ocean Life, Denmark.