New search
BI1453

Applied Population Ecology

Subject-related content:


The course provides a basic understanding of important theoretical concepts in population ecology including genetics, structure, demography, dynamics and stability. The course focuses on applications to solve problems in practice and in-depth analyzes of selected aspects are covered. The course deals with the sustainable management of taxed animal populations, as well as difficulties with the conservation of rare or endangered species with regard to demographic and genetic aspects. Methods are presented to obtain decision-making support for the conservation and management of populations (e.g. assessments of demographic structure and population size, etc.).


Teaching formats:*


Through a combination of lectures, literature studies and laboratories, basic knowledge and theoretical grounding is obtained. To provide a better understanding of population ecology and to predict extinction risk or population development under different scenarios, computer exercises are used where the student analyzes data and uses the data in models.


The course focuses on the following generic competencies:*



  • Information retriewal

  • Critical evaluation

  • Data analysis and modelling

  • Written communication


The following course components are compulsory:*


Compulsory assignments


Syllabus and other information

Course facts

The course is offered as an independent course: Yes The course is offered as a programme course: Conservation and Management of Fish and Wildlife Populations - Master's Programme Forest Ecology and Sustainable Management - mastersprogramme Conservation and Management of Fish and Wildlife (MSc) Forest Science - Master's Programme Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 38060 SEK Cycle: Master’s level (A1N)
Subject: Biology
Course code: BI1453 Application code: SLU-20090 Location: Umeå Distance course: No Language: English Responsible department: Department of Wildlife, Fish, & Environmental Studies Pace: 100%