Ken Haste Andersen

Professor in theoretical marine ecology at AQUA, DTU. Deputy chair in the Centre for Ocean Life.


"Some things still need to be said about the world". Pliny the Elder, Naturalis Historia

News

July 2016: Sharks vs telestsHow does the life-history strategy differ between elasmobranchs (sharks, rays etc) and teleosts (bony fish)?  With respect to the size of their offspring, one difference is striking: elasmobranchs make offspring that is roughly a factor 100 (in weight) smaller than the adults, while most teleosts make offspring that is around 1 mg, independent of the adult size (see figure).   We show that the difference in the offspring size strategy is unrelated to whether offspring is live or eggs, and there are no significant differences between growth, mortality etc. of elasmobranchs and teleosts.  How, then, can evolution maintain these two very different offspring size strategies among very similar groups of organisms?  In a recent paper in Journal of Theoretical Biology we develop an evolutionary model to show how the two offspring size strategies can co-exists evolutionary — in technical terms, we can say that there exists two local evolutionary stable states.  The difference between the two strategies boils down to a difference in density-dependent control in the populations: if newly hatched offspring compete with one another, the evolutionary stable strategy is one where offspring size proportional to the adult size (the elasmobranch strategy), while if early life is devoid of density-dependent competition, the strategy with small offspring independent of adult size emerges.

Offspring size as a function of adult size. Open symbols are teleosts; closed are elasmobranchs.


July 2015: Review: Characteristic Sizes of Life in the Oceans, from Bacteria to Whales (download here). Imagine picking a random organism out of the ocean. Which one trait characterizes the largest part of this organism’s physiology, encounter rate with prey (and predators), abundance of conspecifics, reproductive rate etc.: it’s body size. Body size also determines a large part of the organism’s fundamental design and strategy towards life: If it is small (unicellular) it is likely to photosyntheize, while very small bacteria do not photosynthesize. If the organism is large (larger than about a cm) it is likely to be slender and streamlined, while smaller organisms come in odd shapes with appendages necessary for sensing movements of the water to compensate for lack of vision. Larger organisms, such as fish, however, are largely visual predators. The largest organisms in the ocean are warm blooded and breathe air, while all organisms less than about 10 kg are cold blooded and take oxygen from the water. 


The five aspects of pelagic marine life: body temperature, resource encounter strategy, mobility regime, sensing mode, and life history strategy. The art at the top represents the seven realms of life defined by body size. Artwork by Jan Heuschele.

We show how these and other differences in design and strategies of life in the ocean are due to physical and ecological processes dependent on body size, and we develop simple expressions to describe the characteristic body sizes where there is a transition from one type of life to another, i.e., between bacteria, phytoplankton, mixotrophs, unicellular and multicellular zooplankton, fish, and marine mammals. In this way we stengthen the fundamental theoretical framework about body size, initiated by some of the founding fathers of evolutionary and ecological thinking, Haldane and Elton.

December 2014: New paper: Trade-offs between objectives for ecosystem management of fisheriesGedankenexperimente in ecosystem-based fisheries management. What happens to the ecosystem if we optimise the fishing pattern for yield of biomass (MSY) or for economic rent (EMSY)? And how does that tie in with conservation constraints? Using a trait-based size spectrum model we have been able to extend this classical analysis from a single species to an entire fish community.
The size distribution (top) and the fishing pattern of three fishing fleets (bottom) when fishing to maximize economic rent.


See archive for older news.

Teaching

I am currently involved in the courses:
  • 25303 Mathematical biology
  • 25304 Differential equations in biology
  • 25314 Computational Marine Ecological Modelling
  • 25803 Ocean Life Meeting Series
Send me a mail if you are interested in any of these courses.

Research Interests

I want to understand how life in the ocean is organised, why marine organisms look and act the way they do, and how marine ecosystems reacts to perturbations like fishing, species removals/invasions or climate change. More specifically I work on:
Previously I have worked with sand ripples under surface waves and barchan dunes in deserts.

Student projects:

I have a number of possible student projects available for students related to the impact of fishing and climate change on marine and fresh water ecosystems. The projects ranges from applied projects on specific ecosystems to abstract theoretical topics. Send me an email if you are interested in learning more.

Students and post docs:
  • Rob van Gemert (PhD student)
  • Daniel van Denderen (post doc)
  • Trondúr Kragesteen (PhD student)
  • Kasia Kenitz (post doc)
  • Subhendu Chakraborty (post doc)
Former students:
  • Nis Sand Jacobsen, Ph.D. student. With Henrik Gislason.
  • Alexandros Kokkalis, Ph.D. student. With Uffe Thygesen and Anders Nielsen.
  • Julie Sainmont, Ph.D. student. Main supervisor: Andy Visser.
  • Karin Olsson, Ph.D. student. Main supervisor: Henrik Gislason
  • Christina Frisk, Ph.D. student. Co-supervised by Gerd Kraus.
  • Nuria Calduch Verdiel, Ph.D. student. With James Vaupel, Max Planck Institute for Demographic Research, Rostock; and Brian MacKenzie. Thesis: Protecting the larger fish: an ecological, economical and evolutionary analysis using a demographic model.
  • Lai Zhang, Ph.D. student. Thesis: Mathematical model of ecology and evolution
  • Martin Hartvig (aka Martin Pedersen), Ph.D. student. Main supervisor: Per Lundberg, Lund University. Thesis: Food web ecology.
  • Matthieu Gerard, under-graduate student: "Turing structure in a size-structured ecosystem model". Together with Uffe H. Thygesen and Michael Pedersen (MAT, DTU).

Contact information:

Ken Haste Andersen - kha@aqua.dtu.dk - +45 35 883399
National Institute of Aquatic Resources, AQUA
Technical University of Denmark
Jægersborg Allé 1
DK-2920 Charlottenlund
Denmark

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