Theoretical Ecology Group

 
UNIVERSITETET I BERGEN
Institutt for biologi
 
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Research

Our aim is to understand how processes at the level of individuals drive dynamics of populations and communities. We focus on individual trade-offs and use trait-based models to explain ecological and evolutionary patterns.
 

Physical forcing
Light, temperature,
turbulence...
Mechanistic and evolutionary models   Behaviour
Life history strategies
Population dynamics
Trophic interactions
Ecosystem structure
  Individual
Motivation
and states
Biological interactions
Predators, prey, move-
ments, information...

 
This 'individual-based evolutionary ecology' is our tool to understand the functioning of ecosystems and predict how organism respond to environmental change. We work mainly with marine systems, but some of the theory we develop addresses general biological questions regardless of ecosystem. Please read more abour our Research Themes below.
 

Research Themes

Trait-based Ecosystem Models
Traditionally, ecosystem models represent a few important 'functional' groups of organisms, ignoring the biodiversity of nature. Trait-based models take a different approach where organisms are characterised as continuums of traits, andwinners are determined by a process resembling natural selection.

NORWECOM.E2E

Animal Decision Making
Since 1990 we have been involved in modeling decision-making, particularly in fish and plankton. We have been using Life History Theory, Game Theory and State-Dependent Optimization to model both short-term and life-history decisions. More recently, we have been using Genetic Algorithms to evolve adaptive behaviors in Individual-Based Models, either directly as life-history decision genes, neural networks of brains, or decisions coming out from the feelings of the individuals.

Evolution in Fisheries Science
Industrial fishing is the main source of mortality for many commercially harvested fish stocks, and there is increasing concern that this will cause evolutionary changes in the fish species themselves. We use models as a virtual laboratory to study fish evolution. By varying the external pressures, such as fishing, we simulate fish evolution to assess ecological and economical consequences.

Fish Larval Ecology
Larval fish ecology is a theme connecting oceanography and plankton ecology to fisheries science. We have a long-standing tradition in developing state-of-the-art models on larval fish foraging and behaviour.

 

 
 
   Group Leaders
   Professor (UiB)
  Dag L. Aksnes
   Researcher (Uni)
  Christian Jørgensen
   Researcher (IMR)
  Geir Huse

   Professor
  Jarle Berntsen
   Researcher
  Marco Castellani
   Postdoc
  Nicolas Dupont
   Researcher
  Sigrunn Eliassen
   Professor
  Øyvind Fiksen
   Professor
  Jarl Giske
   Researcher
  Jan Heuschele
   Researcher
  Solfrid Sætre Hjøllo
   Researcher
  Trond Kristiansen
   Adjunct Professor
  Marc Mangel
   Researcher
  Anders F. Opdal
   Associate Professor
  Rune Rosland
   Professor
  Corinna Schrum
   Researcher
  Morten D. Skogen
   Researcher
  Espen Strand
   Postdoc
  Kjell Rong Utne

   PhD Student
  Rebecca E. Holt
   PhD Student
  Perdana Karim Prihartato
   PhD Student
  Nicolas Rodriguez
   PhD Student
  Selina Våge
   PhD Student
  Leo Zijerveld