Quantitative modelling of Labeobarbus species as a basis for stock assessment and management in Lake Tana Ethiopia

01 October 2016 → 30 September 2020
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Geology
    • Animal biology
    • Genetics
    • Aquatic sciences, challenges and pollution
  • Agricultural and food sciences
    • Veterinary medicine
Stock assessment Fish population modelling Fisheries management
Project description

The populations of Labeobarbus species in Lake Tana are threatened due to intensive fishing. This modelling study will focus on the spatio-temporal dynamics of the populations based on reproduction, growth and mortality parameters determination. The outcomes will be used for determining a growth performance index of the fish species that can serve as a basis for a sustainable population control. As part of the research, also monitoring methods will be analysed and optimised, in particular the gillnet selectivity and efficiency will be determined. Moreover, the socio-economic relevance of Lake Tana fisheries will be determined based on ecosystem services analysis.