Advanced vegetation analysis course aims to develop students’ ability to process vegetation data. The course includes several advanced analytic procedures of vegetation science,
(1) pattern recognition of vegetation types
(2) multivariate analyses of vegetation data
(3) vegetation classification
(4) species distribution modeling and analyses of vegetation dynamics.
In this course, I will introduce most of the modern techniques applied in vegetation science and the students will have the chance to analyse big data sets of Taiwan Vegetation Database (National Vegetation Diversity Inventory and Mapping Project; NVDIMP).
Syllabus url: https://web085004.adm.ncyu.edu.tw/Syllabus/Syllabus_Rpt.aspx?CrsCode=10812520045
Textbooks:
- Wildi, O. (2017). Data Analysis in Vegetation Ecology. 3rd Edi. CABI. 352pp. URL
- Borcard, D., Gillet, F. and Legendre, P (2011) Numerical Ecology With R. Springer-Verlag, New York. 306pp. URL
- Mucina, L. (2018) Vegetation Survey and Classification of Subtropical Forests of Southern Africa. Springer-Verlag, New York. 236 pp.
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Introduction to data analyses of vegetation ecology
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Patterns in vegetation ecology
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Data transformation—Vegetation data transformation
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Multivariate analyses
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Vegetation classification
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Joining ecological patterns
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Static explanatory modelling
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Vegetation change in temporal scale
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Dynamic modelling
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Species distribution modelling
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Case studies
教師
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