| Course title | Capture-Mark-Recaptur methods |
|---|---|
| Course code | KZO/396 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Doctoral |
| Year of study | not specified |
| Frequency of the course | In each academic year, in the summer semester. |
| Semester | Summer |
| Number of ECTS credits | 3 |
| Language of instruction | Czech, 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 |
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Content of lectures 1. Introduction to the problematics, what will be part of the course (data analyses) and what not (capture methods); simple methods (Lincoln-Peterson index, Craig) (2 hours. 2. Advanced CMR methods, problems with open and closed populations. Traditional methods (Jolly-Seber, Capture) vs. CLM (constrained linear models) (2 hours) 3. Program Mark - ClosedCaptures: basic work in environment of MARK, modelling and model testing (2 hours) 4. Program Mark - POPulationAnalyses: matrix design for advanced models, categorical or linear data, problems with number of estimated parameters (2 hours) 5. Program Mark - other methods (Robust Design, MultiState Model, Nest Survival Analysis), individual covariates (2 hours) 6. Other use of CMR data (VirtualMigration atd.) (2 hours) Content of practicals See content of lectures
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| Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Practical training
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| Learning outcomes |
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The aim of this course is to show students how to work with Capture-Mark-Recapture methods. Such methods are important for study of population parameters like population size, probability of survival or dispersality. Students will learn to select appropriate method including critical points for field work planning. They will learn how to analyze data in the program MARK using various models. The practical will consist from analyses of trial data as well as of their own datasets. Output of the course should be analysis of data plus interpretation of the results.
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| Prerequisites |
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Special course for Ph.D. study field Zoology
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| Assessment methods and criteria |
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Development of laboratory protocols
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| 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): Entomology (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): 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): 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 |