I work with multi-species models using the "Gadget" model as a tool. I work on interactions between species, uncertainty, and the interface between the real world and models. In additon I run develop and run stock assessment models. Chair of the ICES WG on multispecies modelling , WGSAM (2013-2015
Scientific interests include numerical modelling, age-length structured fisheries models, simulations of population dynamics, model uncertainties, the influence of natural and anthropogenic changes to the natural system, and the interaction between models and the real world.
Research concentrates on using age-length structured models to produce detailed, biologically realistic, single- and multi-species fisheries models. Such models can be used to investigate the dynamics of the fish populations, and gives the ability to produce a virtual “population” on which a variety of experiments can be conducted which would be impossible in the real world. Typical experiments include different harvesting strategies, climatic forcing, or the impacts of pollution such as oil spills. Such models also provide a complimentary assessment method to age-based modelling, and a method of producing stock assessments where age-based methods are unsuitable.
2002 – present. Fisheries Mathematical Modeller at the Institute of Marine Research, Bergen Working as a mathematical modeller on the ‘Gadget’ age-and-length structured marine ecosystem models. Creating and developing single and multi-species models for use in stock assessment and research.
2000 – 2002 Fisheries Mathematical Modeller at the Marine Research Institute, Reykjavik. Multi- and single-species fisheries modelling
1999 – 2000 Research Officer at the Office for National Statistics
Working on statistical adjustments to correct for people missed by the census
1993 – 1995 Research Assistant at Institute of Education, London.
Working on a mathematics text book for engineering students
1993 Research assistant at Royal Holloway and Bedford New College.
Numerical modelling of sediment transfer and deposition.
1995-1999 PhD in 'Numerical modelling of the last Eurasian Ice Sheet' University of Wales, Aberystwyth Using computer modelling to reconstruct the dynamics of the last ice sheet in Eurasia.
1991-1992 MSc in 'Computing in Earth Sciences', at Keele University
1988-1991 BSc joint honours in Mathematics and Geology, at the University of Wales, Aberystwyth.
• Is and has been involved in a number of international projects, focusing on multispecies fisheries modelling; oil industry joint funded SYMBIOSES, and EU projects FACTS, DEFINITE (WP leader), JAKFISH (IMR project leader), DEEPFISHMAN, BECAUSE, UNCOVER, DST2,
• Member of various ICES working groups focused on single and multi-species assessment, and invited external expert at the ICES WKROUND, WKSOUTH and WKBALT benchmark workshops, and IWC JARPA II review committee (2014)
• Developed assessment models for redfish (Sebastes marinus) and exploratory model for Greenland halibut.
• Chair of ICES WG on multispecies models (2013-2015), SGRAMA (2010)
• Experience in teaching modelling, mathematics, computing, and statistics at various levels (school, university, and in-house training for the British Civil Service and IMR Bergen).
• Has assisted in setting up single and multi-species models for researchers in England, France, Spain and South Africa
Howell, D., and Filin, A.A. 2013. Modelling the likely impacts of climate-driven changes in cod-capelin overlap in the Barents Sea doi: 10.1093/icesjms/fst172
Howell, D., Filin, A. A., Bogstad, B., and Stiansen, J.E. 2012. Unquantifiable uncertainty in projecting stock response to climate change: Example from NEA cod. J. Marine Science. Marine Biology Research pages 920-931
Christine Röckmann, Clara Ulrich, Marion Dreyer, Ewen Bell, Edward Borodzicz, Päivi Haapasaari, Kjellrun Hiis Hauge, Daniel Howell, Samu Mäntyniemi, David Miller, George Tserpes, Martin Pastoors. 2012. The added value of participatory modeling in fisheries management – what have we learnt? J. Marine Policy,
Eriksen, E., Prozorkevich, D., Trofimov, A., and Howell, D. 2012. Biomass of scyphozoan jellyfish, and its spatial association with 0-group fish in the Barents Sea. PLoS ONE. doi:10.1371/journal.pone.0033050
Andonegi, E., Fernandes, J.A., Quincoces, I., Irigoien, X., Uriarte, A., Perez, A., Howell, D. and Stefansson, G. 2011. The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian Networks: the case of the Bay of Biscay anchovy. ICES Journal of Marine Science, 68: 1257-1269
Howell, D., and Bogstad, B. 2010. A combined Gadget/FLR model for management strategy evaluations of the Barents Sea fisheries; ICES journal of marine science doi:10.1093/icesjms/fsq135
Palha de Sousa, L., Brito, A., Abdula, S., Howell, D. and Penn, J. (2010) The shallow water shrimp fishing at Sofala Bank Mozambique 2006. Unpubl. Report Instituto de Investigação Pesqueira. July 2010.
Lindstrøm, U., Smout, S., Howell, D., and Bogstad, B. 2009. Modelling multispecies interactions in the Barents Sea ecosystem with special emphasis on minke whales, cod, herring and capelin. Deep Sea Research Part II: Topological Studies in Oceanography 56: 2068-2079 (doi:10.1016/j.dsr2.2008.11.017)
Subbey, S., Bogstad., B, and Howell, D. 2007. Reducing Fisheries Model Complexity Using a Finite Fourier Series Reparameterization. Fisheries Research 63.
Begley, J. and Howell, D. 2004 An overview of Gadget, the Globally applicable Area-Disaggregated General Ecosystem Toolbox. ICES CM 2004/FF:13
Bogstad, B., Howell, D., and Åsnes, M. N. 2004. A closed life-cycle model for Northeast Arctic Cod. ICES C.M.2004/K:26.
Howell, D. 2004. Comparison of the effects of forced errors in survey data between an age and an age-and-length structured model of Northeast Arctic Cod. ICES CM, 2004 FF22.
Howell, D., Siegert, M.J., and Dowdeswell, J.A. 2000. Modelling the influence of glacial isostasy on Late Weichselian ice-sheet growth in the Barents Sea. Journal of Quaternary Science.
Howell, D., and Siegert, M.J. 2000. Intercomparison of subglacial sediment deformation models: application to the late Weichselian western Barents margin. Annals of Glaciology, p. 187-196.
Howell, D., Siegert, M.J., and Dowdeswell, J.A. 1999. Numerical modelling of the Eurasian High Arctic Ice Sheet: an inverse experiment using geological boundary conditions. Glacial Geology and Geomorphology, 1999, rp05/1999
Sutherland, R., Howell, D., and Wolf, A. 1996. A Spreadsheet Approach to Maths for GNVQ Engineering. Arnold, London.