About Me

My research explores the interactions of food (prey) quality and quantity on consumer dynamics and thence on trophic dynamics (stoichiometric ecology) and biogeochemistry. Targets for this work are primarily planktonic and microbial systems, with recent emphasis upon mixotrophic plankton and variations in predation rates with prey size, abundance and nutritional quality. Applied aspects include optimisation of algal biomass production in the presence of zooplanktonic pests, and microbial activity in wetlands. The tools for research are primarily dynamic adaptive multi-nutrient (variable stoichiometry) models. I am currently involved in various EU, RCUK and Welsh funded projects investigating a variety of issues ranging from sustainable use of water to the impact of human behaviour on the global oceans. I have also experienced life on the other side of research as Managing Editor of the Journal of Plankton Research (a peer-reviewed scientific journal publication from Oxford University Press), a climate research consultant for the Welsh Local Government Association, and as Biodiversity Officer for Bridgend County Borough Council.

Areas of Expertise

  • Systems Dynamics Modeller
  • PhD Zooplankton Growth Dynamics; A Modelling Study (SAMS/Open University, UK)
  • MSc Ecosystems Analysis & Governance (Warwick; UK)
  • BSc (Hons) Botany (Presidency, India) 1st Class


  1. et. al. Defining Planktonic Protist Functional Groups on Mechanisms for Energy and Nutrient Acquisition: Incorporation of Diverse Mixotrophic Strategies. Protist 167(2), 106-120.
  2. & Why Plankton Modelers Should Reconsider Using Rectangular Hyperbolic (Michaelis-Menten, Monod) Descriptions of Predator-Prey Interactions. Frontiers in Marine Science 3
  3. & The role of mixotrophic protists in the biological carbon pump. Biogeosciences 11(4), 995-1005.
  4. & Bridging the gap between marine biogeochemical and fisheries sciences; configuring the zooplankton link. Progress in Oceanography 129, 176-199.
  5. & Decrease in diatom palatability contributes to bloom formation in the Western English Channel. Progress in Oceanography 137, 484-497.
  6. Ocean acidification with (de)eutrophication will alter future phytoplankton growth and succession. Proceedings of the Royal Society B: Biological Sciences 282(1804), 20142604-20142604.
  7. & Impact of zooplankton food selectivity on plankton dynamics and nutrient cycling. Journal of Plankton Research 37(3), 519-529.
  8. & Misuse of the phytoplankton-zooplankton dichotomy: the need to assign organisms as mixotrophs within plankton functional types. Journal of Plankton Research 35(1), 3-11.
  9. Acclimation, adaptation, traits and trade-offs in plankton functional type models: reconciling terminology for biology and modelling. Journal of Plankton Research 37(4), 683-691.
  10. & Prymnesium parvum invasion success into coastal bays of the Gulf of Mexico: Galveston Bay case study. Harmful Algae 43, 31-45.
  11. et. al. Mechanisms of microbial carbon sequestration in the ocean – future research directions. Biogeosciences 11(19), 5285-5306.
  12. & Introduction to the BASIN Special Issue: State of art, past present a view to the future. Progress in Oceanography 129, 171-175.
  13. Monster potential meets potential monster: pros and cons of deploying genetically modified microalgae for biofuels production. Interface Focus 3(1), 20120037-20120037.
  14. Sensitivity of secondary production and export flux to choice of trophic transfer formulation in marine ecosystem models. Journal of Marine Systems 125, 41-53.
  15. Towards an adaptive model for simulating growth of marine mesozooplankton: A macromolecular perspective. Ecological Modelling 225, 1-18.
  16. & Modelling mixotrophy in harmful algal blooms: More or less the sum of the parts?. Journal of Marine Systems 83(3-4), 158-169.
  17. Defining the “to” in end-to-end models. Progress in Oceanography 84(1-2), 39-42.
  18. Dysfunctionality in ecosystem models: An underrated pitfall?. Progress in Oceanography 84(1-2), 66-68.
  19. Are closure terms appropriate or necessary descriptors of zooplankton loss in nutrient–phytoplankton–zooplankton type models?. Ecological Modelling 220(5), 611-620.
  20. Building the "perfect beast": modelling mixotrophic plankton. Journal of Plankton Research 31(9), 965-992.
  21. Importance of Interactions between Food Quality, Quantity, and Gut Transit Time on Consumer Feeding, Growth, and Trophic Dynamics. The American Naturalist 169(5), 632-646.
  22. Accounting for grazing dynamics in nitrogen-phytoplankton-zooplankton (NPZ) models. Limnology and Oceanography 52(2), 649-661.
  23. & Accounting for grazing dynamics in nitrogen-phytoplankton-zooplankton models. Limnology and Oceanography 52
  24. Accounting for variation in prey selectivity by zooplankton. Ecological Modelling 199(1), 82-92.
  25. Promotion of harmful algal blooms by zooplankton predatory activity. Biology Letters 2(2), 194-197.

See more...


  • BIO010 Development of Key Skills for Biologists

    This module is designed to guide students through the fundamental tools needed to successfully review their timetable and coursework deadlines, submit coursework, check rules and regulations, and develop important communication, teamwork and problem-solving skills. Through ICT workshops, group work and laboratory work, and in partnership with tutorials, this module covers key elements required for students' undergraduate studies and subsequently as a professional scientist.

  • BIO227 Marine Plankton And Oceanography

    This module introduces students to the fundamental concept of plankton ecology at level 2. Students will receive 18-20 lectures and four practicals (1 wet lab, 3 IT lab, 1 boat work). The lectures will cover three key themes: oceanography pertaining to planktonic production, plankton ecophysiology, and the functioning of the planktonic foodwebs. Three reports (1 IT-based, 1 from a lab-practical, 1 from boat work) will be assessed, together with one examination consisting of 30 multiple choice questions + one essay question + one analytical question.

  • BIO251 Biosciences Year 2 field course alternative assessment

    This module is an alternative for students that are unable to attend the residential Biology, Zoology or Marine Biology field courses in Year 2. In order to qualify for this module, students need to have a satisfactory reason that has been authorided by the module coordinators before the field course is undertaken. Evidence of this will be required. Students will be supplied with data to analyse and directed to research and investigate relevant habitats that emulate those studied on the field course.


  • Accounting for mixotrophy in marine microbial food webs: investigating the new paradigm for marine ecology. (current)

    Student name:
    Other supervisor: Prof Kevin Flynn