Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
autumn 2021
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
Guaranteed by
RNDr. Jiří Jarkovský, Ph.D.
RECETOX – Faculty of Science
Contact Person: RNDr. Danka Haruštiaková, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
The aim of the course is the introduction of specific area of biostatistical analysis - evaluation of data of biological communities using the biodiversity analysis methodology. The presented methods ranges from the simple biodiversity indices and biological communities through theoretical distributions to multivariate analysis of biological communities data.
Learning outcomes
At the end of the advanced course the student is able to:
- prepare dataset for analysis of biodiversity;
- visualize structure of biological communities and their biodiversity;
- describe biodiversity using biodiversity indices and their variability;
- apply species abundance models including niche oriented models;
- make decisions about correct usage of multivariate analysis of biodiversity data;
- interpret results of biodiversity analysis both from the computational and ecological point of view;
- have overview of available software for analysis of biodiversity data.
Syllabus
  • 1. Introduction to biodiversity. Biodiversity in data. Biodiversity data visualization.
  • 2. Indices of biodiversity and equitability, rarefaction.
  • 3. Species abundances models. Mathematical and niche oriented models.
  • 4. Transformation of species data. Association coefficients. Introduction to multivariate methods. Direct and indirect gradient analysis.
  • 5. Biodiversity assessment using cluster analysis methods. Hierarchical and non-hierarchical cluster analysis.
  • 6. Biodiversity assessment using ordination methods. Principal component analysis (PCA), correspondence analysis (CA), detrendend correspondence analysis (DCA).
  • 7. Biodiversity assessment using nonmetric multidimensional scaling (NMDS).
  • 8. Evaluation of relationships between biological communities and environmental characteristics using canonical ordination methods. Canonical correspondence analysis (CCA).
  • 9. Analysis of similarity (ANOSIM).
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.iba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2020
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
Guaranteed by
RNDr. Jiří Jarkovský, Ph.D.
RECETOX – Faculty of Science
Contact Person: RNDr. Danka Haruštiaková, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
The aim of the course is the introduction of specific area of biostatistical analysis - evaluation of data of biological communities using the biodiversity analysis methodology. The presented methods ranges from the simple biodiversity indices and biological communities through theoretical distributions to multivariate analysis of biological communities data.
Learning outcomes
At the end of the advanced course the student is able to:
- prepare dataset for analysis of biodiversity;
- visualize structure of biological communities and their biodiversity;
- describe biodiversity using biodiversity indices and their variability;
- apply species abundance models including niche oriented models;
- make decisions about correct usage of multivariate analysis of biodiversity data;
- interpret results of biodiversity analysis both from the computational and ecological point of view;
- have overview of available software for analysis of biodiversity data.
Syllabus
  • 1. Introduction to biodiversity. Biodiversity in data. Biodiversity data visualization.
  • 2. Indices of biodiversity and equitability, rarefaction.
  • 3. Species abundances models. Mathematical and niche oriented models.
  • 4. Transformation of species data. Association coefficients. Introduction to multivariate methods. Direct and indirect gradient analysis.
  • 5. Biodiversity assessment using cluster analysis methods. Hierarchical and non-hierarchical cluster analysis.
  • 6. Biodiversity assessment using ordination methods. Principal component analysis (PCA), correspondence analysis (CA), detrendend correspondence analysis (DCA).
  • 7. Biodiversity assessment using nonmetric multidimensional scaling (NMDS).
  • 8. Evaluation of relationships between biological communities and environmental characteristics using canonical ordination methods. Canonical correspondence analysis (CCA).
  • 9. Analysis of similarity (ANOSIM).
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
In the autumn semester 2020, the exam will take the form of an ROPOT in IS.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.iba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2019
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Jiří Jarkovský, Ph.D.
RECETOX – Faculty of Science
Contact Person: RNDr. Jiří Jarkovský, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
The aim of the course is the introduction of specific area of biostatistical analysis - evaluation of data of biological communities using the biodiversity analysis methodology. The presented methods ranges from the simple biodiversity indices and biological communities through theoretical distributions to multivariate analysis of biological communities data.
Learning outcomes
At the end of the advanced course the student is able to:
- prepare dataset for analysis of biodiversity;
- visualize structure of biological communities and their biodiversity;
- describe biodiversity using biodiversity indices and their variability;
- apply species abundance models including niche oriented models;
- make decisions about correct usage of multivariate analysis of biodiversity data;
- interpret results of biodiversity analysis both from the computational and ecological point of view;
- have overview of available software for analysis of biodiversity data.
Syllabus
  • 1. The term biodiversity. Biodiversity in graphs and data.
  • 2. Biodiversity indices. Species richness, distribution of abundances in biological communities.
  • 3. Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • 4. Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • 5. Species abundances models, their types, algorithms and graphical representation. Niche-oriented species - abundance modelling.
  • 6. Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • 7. Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • 8. Software for analysis biodiversity data.
  • 9. Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.iba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2018
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Mon 17. 9. to Fri 14. 12. Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
autumn 2017
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Mon 18. 9. to Fri 15. 12. Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2016
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Mon 19. 9. to Sun 18. 12. Thu 9:00–10:50 F01B1/709
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2015
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Thu 9:00–10:50 D29/347-RCX2
Prerequisites
Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2014
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Thu 10:00–11:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2013
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Wed 8:00–9:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiversity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point of view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2012
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Wed 15:00–16:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2011
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Wed 12:00–13:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2010
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Tue 16:00–17:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2009
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Tue 16:00–19:50 BR3
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2008
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Tue 14:00–17:50 G2,02003
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Advanced course focused on different techniques of analysis of biodiversity from simple indices of biodiversity to stochastic models of species abundances. The techniques are presented with emphasis on their usability, problems and interpretation and the course is supplemented with examples on real data of biological communities.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2007
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Eva Gelnarová (assistant)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Wed 9:00–13:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Advanced course focused on different techniques of analysis of biodiversity from simple indices of biodiversity to stochastic models of species abundances. The techniques are presented with emphasis on their usability, problems and interpretation and the course is supplemented with examples on real data of biological communities.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2006
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Eva Gelnarová (assistant)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Wed 9:00–10:50 CBA,609
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Advanced course focused on different techniques of analysis of biodiversity from simple indices of biodiversity to stochastic models of species abundances. The techniques are presented with emphasis on their usability, problems and interpretation and the course is supplemented with examples on real data of biological communities.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2005
Extent and Intensity
2/0/0. 2 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Eva Gelnarová (assistant)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Advanced course focused on different techniques of analysis of biodiversity from simple indices of biodiversity to stochastic models of species abundances. The techniques are presented with emphasis on their usability, problems and interpretation and the course is supplemented with examples on real data of biological communities.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2004
Extent and Intensity
2/0/0. 2 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Timetable
Fri 12:00–13:50 kamenice
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives (in Czech)
Pokročilý předmět vyčerpávající výuku nejrůznějších metod hodnocení biodiverzity od jednoduchých indexů až po stochastické modely popisující vztahy druh - abundance ("species-abundance models"). Výuka klade důraz především na vysvětlení interpretace jednotlivých metrik a vymezení jejich aplikovatelnosti a limitů. Veškeré metody jsou vysvětlovány ve vztahu k praktickým postupům při vzorkování biologických populací.
Syllabus (in Czech)
  • 1. Biodiverzita jako pojem. Duální koncept hodnocení biodiverzity. Funkční, genetická, strukturní a taxonomická biodiverzita. Biodiverzita v datech. Biodiverzita v grafech. Publikační možnosti analýzy dat týkajících se diverzity na různých úrovních organizace biologických systémů.
  • 2. Indexy Diverzity. Druhová bohatost, heterogenita rozložení abundancí v rámci biologických společenstev.
  • 3. Ekvitabilita a její hodnocení. Intervaly spolehlivosti pro různé indexy diverzity, aproximace možných maximálních a minimálních hodnot. Rarefaction jako využitelná technika. Numerická realizace výpočtu rarefaction křivek, variabilita ve výpočtu této metody.
  • 4. Analýza kumulativních "species-abundance" křivek, hodnocení tzv. Q statistiky. Srovnání se standardními technikami hodnocení biodiversity.
  • 5. Species - abundance stochastické modely, typy, algoritmy výpočtu, možnosti grafické prezentace. Příklady. "Niche-oriented species - abundance modelling"
  • 6. Využití počítačové simulace při hodnocení biodiversity. Boostraping a Jackknifing jako techniky odhadu variability různých ukazatelů biodiversity.
  • 7. Aplikovatelnost parametrických a neparametrických technik při hodnocení biodiversity, parametrické hodnocení biodiversity ve vícerozměrných analýzách.
  • 8. Možnosti frakcionace biologických společenstev a následná analýza biodiversity získaných podjednotek.
  • 9. Markovovy řetězy jako technika využitelná pro analýzu dat týkajících se biodiversity.
  • 10. Případové studie.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2003
Extent and Intensity
2/0/0. 2 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives (in Czech)
Pokročilý předmět vyčerpávající výuku nejrůznějších metod hodnocení biodiverzity od jednoduchých indexů až po stochastické modely popisující vztahy druh - abundance ("species-abundance models"). Výuka klade důraz především na vysvětlení interpretace jednotlivých metrik a vymezení jejich aplikovatelnosti a limitů. Veškeré metody jsou vysvětlovány ve vztahu k praktickým postupům při vzorkování biologických populací.
Syllabus (in Czech)
  • 1. Biodiverzita jako pojem. Duální koncept hodnocení biodiverzity. Funkční, genetická, strukturní a taxonomická biodiverzita. Biodiverzita v datech. Biodiverzita v grafech. Publikační možnosti analýzy dat týkajících se diverzity na různých úrovních organizace biologických systémů.
  • 2. Indexy Diverzity. Druhová bohatost, heterogenita rozložení abundancí v rámci biologických společenstev.
  • 3. Ekvitabilita a její hodnocení. Intervaly spolehlivosti pro různé indexy diverzity, aproximace možných maximálních a minimálních hodnot. Rarefaction jako využitelná technika. Numerická realizace výpočtu rarefaction křivek, variabilita ve výpočtu této metody.
  • 4. Analýza kumulativních "species-abundance" křivek, hodnocení tzv. Q statistiky. Srovnání se standardními technikami hodnocení biodiversity.
  • 5. Species - abundance stochastické modely, typy, algoritmy výpočtu, možnosti grafické prezentace. Příklady. "Niche-oriented species - abundance modelling"
  • 6. Využití počítačové simulace při hodnocení biodiversity. Boostraping a Jackknifing jako techniky odhadu variability různých ukazatelů biodiversity.
  • 7. Aplikovatelnost parametrických a neparametrických technik při hodnocení biodiversity, parametrické hodnocení biodiversity ve vícerozměrných analýzách.
  • 8. Možnosti frakcionace biologických společenstev a následná analýza biodiversity získaných podjednotek.
  • 9. Markovovy řetězy jako technika využitelná pro analýzu dat týkajících se biodiversity.
  • 10. Případové studie.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2002
Extent and Intensity
2/0/0. 2 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives (in Czech)
Pokročilý předmět vyčerpávající výuku nejrůznějších metod hodnocení biodiverzity od jednoduchých indexů až po stochastické modely popisující vztahy druh - abundance ("species-abundance models"). Výuka klade důraz především na vysvětlení interpretace jednotlivých metrik a vymezení jejich aplikovatelnosti a limitů. Veškeré metody jsou vysvětlovány ve vztahu k praktickým postupům při vzorkování biologických populací.
Syllabus (in Czech)
  • 1. Biodiverzita jako pojem. Duální koncept hodnocení biodiverzity. Funkční, genetická, strukturní a taxonomická biodiverzita. Biodiverzita v datech. Biodiverzita v grafech. Publikační možnosti analýzy dat týkajících se diverzity na různých úrovních organizace biologických systémů.
  • 2. Indexy Diverzity. Druhová bohatost, heterogenita rozložení abundancí v rámci biologických společenstev.
  • 3. Ekvitabilita a její hodnocení. Intervaly spolehlivosti pro různé indexy diverzity, aproximace možných maximálních a minimálních hodnot. Rarefaction jako využitelná technika. Numerická realizace výpočtu rarefaction křivek, variabilita ve výpočtu této metody.
  • 4. Analýza kumulativních "species-abundance" křivek, hodnocení tzv. Q statistiky. Srovnání se standardními technikami hodnocení biodiversity.
  • 5. Species - abundance stochastické modely, typy, algoritmy výpočtu, možnosti grafické prezentace. Příklady. "Niche-oriented species - abundance modelling"
  • 6. Využití počítačové simulace při hodnocení biodiversity. Boostraping a Jackknifing jako techniky odhadu variability různých ukazatelů biodiversity.
  • 7. Aplikovatelnost parametrických a neparametrických technik při hodnocení biodiversity, parametrické hodnocení biodiversity ve vícerozměrných analýzách.
  • 8. Možnosti frakcionace biologických společenstev a následná analýza biodiversity získaných podjednotek.
  • 9. Markovovy řetězy jako technika využitelná pro analýzu dat týkajících se biodiversity.
  • 10. Případové studie.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2011 - acreditation

The information about the term Autumn 2011 - acreditation is not made public

Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2010 - only for the accreditation
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
At the end of the advanced course the student is able to: Prepare dataset for analysis of biodiversity; Visualize structure of biological communities and their biodiverzity; Describe biodiversity using biodiversity indices and their variability; Apply species abundance models including niche oriented models; Make decisions about correct usage of multivariate analysis of biodiversity data; Interpret results of biodiversity analysis both from the computational and ecological point o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.

Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2007 - for the purpose of the accreditation
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Eva Gelnarová (assistant)
RNDr. Jan Mužík, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Advanced course focused on different techniques of analysis of biodiversity from simple indices of biodiversity to stochastic models of species abundances. The techniques are presented with emphasis on their usability, problems and interpretation and the course is supplemented with examples on real data of biological communities.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
  • Indices of biodiversity. Species richness, distribution of abundances in biological communities
  • Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
  • Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
  • Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
  • Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
  • Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
  • Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
  • Markov chains in biodiversity analysis.
  • Case studies.
Literature
  • LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998, xv, 853 s. ISBN 0-444-89249-4. info
  • J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
  • KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989, 654 s. ISBN 0060437847. info
  • Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
  • Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught every week.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.
  • Enrolment Statistics (recent)