Course: Time series analysis in ecology

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Course title Time series analysis in ecology
Course code EKO/PGSCR
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 15
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Tkadlec Emil, prof. MVDr. CSc.
Course content
Theory of population regulation, negative feedback (density-dependence), feedback mechanisms. Time series data. Independence of data and serial correlation, time and frequency domain, phase diagram, attractor, density dependence and feedback structure, endogenous and exogenous components of dynamics, trend and detrendization, oscillations, ACF, PACF, PRCF, autoregressive modelling using SAS and R software, spline functions, GAM, correlogram, cross-correlations, spectral analysis, climate effects. The goal is to give students an overview of modern Tudory of population regulation and skill to analyse time series data in ecology. A speciál emphasis is put on analysis of feedback structure using autoregressive log-linear modelling in R software. Assumed is good knowledge of basic statistical principles.

Learning activities and teaching methods
Lecture, Monologic Lecture(Interpretation, Training)
  • Homework for Teaching - 60 hours per semester
Learning outcomes
The course aims at presenting actual information and procedures from the branch. Major approaches, conceptual and theoretical topics are listed in syllabus
Analysis Analyze time series of abundance Identify negative feedback structure and estimate the amount of periodicity
Prerequisites
As pre-requisite for the course, the students have to successfully complete master's degree study in which they passed the exem from population ecology.

Assessment methods and criteria
Mark, Oral exam, Student performance

Exam - good knowledge and orientation in modern theory of life histories on selected subjects and practical analysis of time series data in R
Recommended literature
  • Begon M, Townsend C, Harper JL. (2005). Ecology: From Individuals to Ecosystems. 4th ed.. Blackwell Publishing, Cambridge.
  • BERRYMAN, A.A. Principles of population dynamics and their applications. Stanley Thornes, Cheltenham.1999.
  • Chatfield, C. Time series analysis, forecasting and control. Chapman & Hall, London. 1989.
  • ROYAMA, T. Analytical population dynamics. Chapman & Hall, London. 1992.
  • Tkadlec E. Populační ekologie: struktura, růst a dynamika populací.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester