Ecology
General data
Course ID: | 1300-OEKLC-GES |
Erasmus code / ISCED: |
07.304
|
Course title: | Ecology |
Name in Polish: | Ekologia |
Organizational unit: | Faculty of Geology |
Course groups: |
(in Polish) Przedmiot obowiązkowy na I sem. I roku stud. II st. GES na spec. geologia środowiskowa |
ECTS credit allocation (and other scores): |
(not available)
|
Language: | Polish |
Type of course: | obligatory courses |
Short description: |
Classes are held in the form of exercise. The students learn the most important research methods used in ecological studies (methods of estimating population distribution, population abundance and population density; changes in population abundance as a result of intra- and interspecies interactions; ecosystem flow model), bioindication tests, and ways (statistical and graphical) of elaborating study results. |
Full description: |
Exercise topics: 1. Changes of population abundance - Simulation of logistic population growth - population abundance change as a result of prey – predator interaction 2. Methods of estimating population density - plants - animals 3. Demographics of the population - life tables - projection matrices 4. Energy flow through the ecosystem 5. Evaluation of natural environment based on biological indicators: - phytoindicators - ecological indicator numbers - lichen communities - lichen scale - presence of mushrooms - Maple Leaf Field activities: - Evaluation of the density of selected plant populations in the forest. - Valuation of the habitat based on ecological indicator numbers for various types of plant communities. |
Bibliography: |
(in Polish) Mackenzie A., Ball A. S. i S. R. Virdee 2005. Krótkie wykłady. Ekologia. Wydawnictwo Naukowe PWN. Weiner J. 2005. Życie i ewolucja biosfery, PWN, Warszawa. Falińska K. 2004. Ekologia roślin. PWN, Warszawa Begon M., Harper J.L., Townsend C.R., 1996. Ecology. Individuals, Populations, and Communities. 3. wyd., Blackwell Górecki A., Kozłowski J., Gębczyński M. 1987. Ćwiczenia z ekologii. Uniwersytet Jagielloński, Filia Uniwersytetu Warszawskiego, Kraków-Białystok Krebs C. J., 2011. Ekologia. Eksperymentalna analiza rozmieszczenia i liczebności. PWN, Warszawa Zarzycki K., Trzcińska-Tacik H., Różański W., Szeląg Z., Wołek J., Korzeniak U. 2002. Ecological indicator values of vascular plants of Poland. Ekologiczne liczby wskaźnikowe roślin naczyniowych Polski. W. Szafer Inst. PAS, Kraków Materiały do dyskusji polecane na każdych zajęciach. |
Learning outcomes: |
On completion of the course, the student: - recognizes multiple relationships between environmental components and understands the processes occurring in the environment at different levels of the organization of nature (K_W01), - understands the complex abiotic-biotic relationships linked in geochemical and biogeochemical circulation of elements in biosphere and understands their history (K_W02), - has a knowledge of the human impact on the natural processes in the environment (K_W03), - performs and describes simple and advanced research task individually and collectively (K_U01), - uses specialistic terminology in the field of environmental protection in Polish and English (K_U06), - uses environmental models to interpret the changes occurring in animate and inanimate nature (K_U07), - critically evaluate information about the environment (K_U08), - identifies the strengths and weaknesses of standard actions taken to solve environmental problems (K_U11), - is able to identify environmental risks associated with economic activity (K_U14), - is able to use in practice geochemical and bioindication methods applied in assessment of the degree of environmental pollution (K_U16), - understands the necessity of lifelong learning; can inspire and organize the learning process of other people (K_K01), - is able to determine an appropriate gradation of the problems to achieve the specified task (K_K04), - understands the necessity of constant review of the information obtained through systematic study of with the scientific papers (K_K06), - understands the necessity of constant improve their professional skills and of finding new methods to solve research problems (K_K08), - is prepared to take up work related to environmental protection (K_K10), - recognizes the importance of mathematical modeling to describe natural phenomena (K_K12). |
Assessment methods and assessment criteria: |
Knowledge of all issues presented during the course (final written assessment). |
Practical placement: |
Not applicable. |
Copyright by University of Warsaw.