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Please check the official study guide for the most up to date course information

Modelling and management of wild populations

Teacher
Semester
Semester 2
Credits
6

Course Contents

Module 1. Ecological Modelling (3 ECTS).

Mathematical approach to Marine Ecology (a journey from the basic models to the real world systems). Understanding a differential equation. Software for scientific computation, numerical simulation and visualization of results. From mass balance models to dynamical models: an introduction to Ecopath, Ecosim and Ecospace. Toy-models and real-models of marine ecosystems: Ecopath, Ecosym and Ecospace. First steps in the designing of software for model analysis.

Module 2. Population Biology Applied to Conservation (3 ECTS).

Unstructured population models. Continuous and discrete-time population models. Sensitivity analysis. Estimation of parameters for ecological models. Age and class-structured population models. Construction of the population matrix. Projection of the population. Perturbation analysis. Stochastic models. The effect of variability in population parameters and its quantification. Implementing variability in simple models: Environmental and demographic stochasticity. Density-dependence, periodicity and stochasticity in structured models. Metapopulations. Population Viability Analysis. Conservation paradigms. Final and practical recommendations.

 

Final Competencies

  1. Students should be able to understand what is in the backstage regarding existing software for simulations of real ecosystems.
  2. They will learn how to use those programs and some basic abilities to be able of designing their own software.
  3. The students will learn to identify problems in real populations and evaluate viability.

 

Additional information regarding evaluation methods

Module 1: Four assignments to be reported at the end of the module.

Module 2: Assignment consisting in the preparation of an Individual Based Model for one marine species with an interest in conservation.

 

Further course information can be found here: https://studiekiezer.ugent.be/studiefiche/en/C003886/2022