Quantitative Ecology
A.Y. 2018/2019
Learning objectives
To learn how to apply quantitative methods in ecological researches and how to rigorously plan a research project
Expected learning outcomes
Application of quantitative methods in ecology and how to rigorously plan a research project
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Problems and opportunities from a quantitative approach to ecological studies: planning a research program, reverse planning, basic concepts in statistics.
Application of multivariate statistical methods to ecological data: cluster analysis, principal component analysis, redundancy analysis and canonical correlation, analysis of variance, regression, introduction to generalized linear models.
Design and analysis of experiments: sample size determination, non-parametric methods, randomized block designs.
Sampling and census methods: introduction to sampling theory, capture-mark-.recapture methods, transects, abundance indices.
Population growth models, life tables and survival curves, Leslie and Lefkovitch matrices, intrinsic growth rate, continuous and discrete propulation growth models.
Growth models for interacting populations: Lotka-Volterrra models, predator-prey models, cooperation and the Allee effect.
Application of multivariate statistical methods to ecological data: cluster analysis, principal component analysis, redundancy analysis and canonical correlation, analysis of variance, regression, introduction to generalized linear models.
Design and analysis of experiments: sample size determination, non-parametric methods, randomized block designs.
Sampling and census methods: introduction to sampling theory, capture-mark-.recapture methods, transects, abundance indices.
Population growth models, life tables and survival curves, Leslie and Lefkovitch matrices, intrinsic growth rate, continuous and discrete propulation growth models.
Growth models for interacting populations: Lotka-Volterrra models, predator-prey models, cooperation and the Allee effect.
BIO/07 - ECOLOGY - University credits: 6
Practicals with elements of theory: 12 hours
Lessons: 40 hours
Lessons: 40 hours
Professor:
Ambrosini Roberto
Professor(s)
Reception:
Tuesday 10-12 am by appointment to be requested via email a few days before
tower C, 6th floor, Via Celoria 26