Course title | Advanced ordination methods |
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Course code | KBE/052E |
Organizational form of instruction | Lecture + Lesson |
Level of course | Doctoral |
Year of study | not specified |
Frequency of the course | n academic years starting with an even year (e.g. 2016/2017), in the summer semester. |
Semester | Summer |
Number of ECTS credits | 3 |
Language of instruction | English |
Status of course | Compulsory-optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
Content of lectures: Working with Canoco software (recap). Advanced ANOVA models for repeated measurements plus corresponding multivariate methods (3 weeks); principal response curves; co-correspondence analysis, distance-based ordination methods (PCoA, NMDS), working with spatial data (dbMEM, 2 weeks), analysis relationships between functional traits and environment (2 weeks) Content of practicals: Complement lecture contents, last 2 weeks for work on miniprojects plus their presentation
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Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Demonstration, Projection, E-learning
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Learning outcomes |
Students are acquainted with the theory of more advanced methods of multivariate analysis and lear how to apply those methods to their own data. The methods discussed in more detail include multivariate analysis of repeated measures data, principal response curves (PRC) method, co-correspondence analysis and Procrustes analysis, as well as ordination including data on spatial variation (db-MEM), as well as various methods of analysing the functional traits - environment relationship. Concluding week(s) (depending on student number) are devoted to work on student mini-projects to be presented in the final week, so that the students might demonstrate their ability to use at least one of the methods.
Students will be able to analyse multivariate data even if they harbour temporal correlations among observations (repeated measures) and/or spatial autocorrelation. They will be also able to analyse the relations between two kinds of biotic communities using co-correspondence analysis and to quantify and test the relations between functional traits of species and the properties of the environment. |
Prerequisites |
This course assumes knowledge and technical skills for using simple ordination methods (unconstrained, constrained and partial ordination) and the basic manipulation of data. Minimum of B+C students: 5
KBO/332 ----- or ----- KBO/332E |
Assessment methods and criteria |
Analysis of student's language skills, Seminar work
Towards the end of term, students analyze a dataset with some of the method(s) introduced in this course and in the last practicals they present the results. |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Hydrobiology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Ecosystem Biology (1) | Category: Ecology and environmental protection | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Entomology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Ecosystem Biology (1) | Category: Ecology and environmental protection | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Hydrobiology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Ecosystem Biology (1) | Category: Ecology and environmental protection | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Entomology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Hydrobiology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Entomology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: Summer |