Dr Jorn Bruggeman

Marine Ecosystem Modeller


Contact Details

+44 (0)1752 633434

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.

Key Projects

MERP - Marine Ecosystems Research Programme (NERC/Defra)

Other Activities

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

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
 

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