The International Society for Ecological Modelling Global Conference 2017

In this Meeting recent progress and future perspectives in new methodology including adaptation/evolution processes will be discussed, with the focus on linking society and academic fields in reality through multi-disciplinary approaches that include interfacing nature and humans, eco-evolutionary processes, and social collaborations.


Interfacing nature and humans

  • Sensor networks, pattern recognition and robots in ecological modelling
  • Data treatment and management
  • Meta-models
  • Network analysis
  • Complex systems
  • GIS and landscape
  • Spatial models
  • Simulation models
  • Energy quality (e.g., energy, exergy)

Eco-evolutionary processes

  • Population and quantitative genetics in ecological modelling
  • Molecular ecology/evolution and meta-genomics
  • Strategy and game theory
  • Population/community stability and persistence
  • Ecosystem adaptation/evolution to environmental variability (e.g., climate change)
  • Behavioral adaptation to stress and disturbance

Social collaboration for ecosystem sustainability

  • Social feedbacks for ecosystem management
  • Ecological/environmental economics/sociology
  • Models dealing with stress, disturbance and disaster in ecosystems
  • Invasion and extinction of species
  • Wildlife and resource management
  • Pest management
  • Biodiversity and conservation management
  • Energy efficiency and budget
  • Ecosystem services
  • Aquatic and river ecosystem management
  • Brackish and coastal ecosystem management
  • Terrestrial and forest ecosystem management
  • Urban ecosystem management
  • Education and public relations


The sessions will be organized in parallel according to hierarchical units of ecological systems, computational methods and applied and related fields across different ecosystems:


  • Ecology in molecules and cells
  • Individual ecology in relation with physiology, morphology, behavior etc.
  • Population and community ecology
  • Ecosystem functioning and management (e.g., energy, bio-geo-chemical cycle)
  • Misc.

Computational methods

  • Heuristic or data-based models
  • Process-based models
  • Statistics in relation with ecological modelling
  • Misc.
  • Conservation
  • Agriculture
  • Forestry
  • Fishery
  • Disease and health
  • Ecotoxicology
  • Chemical ecology
  • Paleo-ecology
  • Machine learning and artificial intelligence
  • Misc.

This is a companion discussion topic for the original entry at