Course title | Advanced ordination methods |
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Course code | KBE/052 |
Organizational form of instruction | Lecture + Lesson |
Level of course | Doctoral |
Year of study | not specified |
Frequency of the course | In 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: Summary of work with the Canoco software, Advanced ANOVA models - repeated measurement analysis for individual response variables as well as for multivariate data (3 weeks), principal response curves, co-correspondence analysis, dissimilarity-based ordination methods (PCO, NMDS), analysing distances data with ordination methods (db-MEM, 2 weeks), relating species traits to environment (community-based and species-based methods, 2 weeks) Content of practicals: Complements the lecture topics, before the last week: work on individual miniprojects
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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 will learn (in English) about the theory of selected advanced approaches in the multivariate statistical analysis and they will learn how to apply such methods to their own data. The methods discussed in depth include repeated measurements analysis of multivariate data, principal response curves (PRC) method, co-correspondence analysis and Procrustes analysis, ordination methods working with spatial autocorrelation (db-MEM), and various approaches to relating species functional traits and environmental factors. Within this course, two weeks are devoted to the work of students on own mini-projects and the presentation of their results.
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 |
Student should know at the start the basic principles of the analysis of multivariate data (particularly the differences between unconstrained and constrained ordination and the use of covariates) and (s)he should be also able to apply the basic methods to own datasets with the Canoco software. Such requirements can be fulfilled with the course Planning and evaluation of ecological experiments (KBO/332E in English or KBO/332 in Czech language).
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): Hydrobiology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Ecosystem Biology (1) | Category: Ecology and environmental protection | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Hydrobiology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Ecosystem Biology (1) | Category: Ecology and environmental protection | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Zoology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Botany (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Entomology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Science | Study plan (Version): Entomology (1) | Category: Biology courses | - | Recommended year of study:-, Recommended semester: - |