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Academic ID
Population Ecology-biodiversity
Teaching Staff: To be announced
Course Code: ΤΠ-70053
Course Type: Elective
Course Level: Undergraduate
Course Language: Greek
Semester: 7th
ECTS: 4
Teaching Units: 3
Teaching Hours: 3
Short Description:
- Introduction to the concept of biodiversity. The components of biodiversity and its basic types. The abundance of species as a common measure of biodiversity.
- The value of biodiversity, the threats to biodiversity and the legal framework of its protection and management, understanding the self-efficacy and economic or utilitarian values of biodiversity. Presentation of the main threats to biodiversity and the legal regime for the conservation and sustainable use of biodiversity components.
- Presentation of methods for quantifying the α- and β- biodiversity by using indicators such as Simpson, Shannon and Sorenson, Measurement of Biodiversity (applications). Estimation of the optimum sampling unit size for the assessment of the α-biodiversity of soil-surface arthropods.
- The temporal dimension of biodiversity dynamics and the use of tools (e.g. fossils) for its study. The spatial dimension of biodiversity dynamics and the tools (e.g.telemetry) for mapping Factors affecting the spatial patterns of species biodiversity
- Introduction to the concept of population ecology. The basic model of population dynamics. Factors that affect population size changes. The structure (e.g. age-based) of populations.
- The use of models to predict changes in population sizes of species not subject to environmental pressures: the Malthusian model of population growth.
- Model of population growths subject to environmental pressures. Intraspecific competition in response to the constraints imposed by the environment on population growth.
- The Lotka-Volterra interspecific competition model including intraspecific competition. Detection of competitive exclusion conditions in a system of species with interspecific competition.
- The Lotka-Volterra predator-prey model including intraspecific competition. Detection of equilibrium conditions of the predator-prey system.
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