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MLU Master’s Module: Modelling Species Distribution and Biodiversity Patterns

Part II: Measuring and comparing biodiversity patterns and processes

Instructor:

Prof. Jonathan Chase ([email protected])

Co-Instructors:

Dr. Paola Barajas ([email protected]); Dr. Shane Blowes ([email protected]); Dr. Juan Carvajal Quintero ([email protected]); Dr. Zohre Eslami ([email protected]); Dr. Zachary Hajian Forooshani ([email protected]); Dr. Daniela Hoss ([email protected]); Dr. Emma Ladouceur ([email protected]); Dr. Alban Sagouis ([email protected]); Dr. Kimberly Thompson ([email protected]); Dr. Roel van Klink ([email protected]); Dr. Wubing Xu ([email protected])

Course plan:

Week 1: (January 8-12): Mechanisms of biodiversity: Metacommunities Theory and Practice

Monday: Lecture, Reading, Discussion, Exercise (Shane)
Tuesday: Introduction to modelling, population and metapopulation dynamics using simulations and computer exercises (Shane)
Wednesday: Metacommunity theory, preparation for independent projects (Shane)
Thursday: Independent project (Shane)
Friday: Independent project (Morning): Presentation/discussion (Afternoon)

Week 2: (January 15-19): Measuring and comparing patterns of (taxonomic) diversity

Monday: Lecture, Reading, Discussion, Exercise (Roel)
Tuesday: Calculating biodiversity metrics (richness, evenness, Hill numbers); mobr lesson (Kim)
Wednesday: Effects of sampling on biodiversity measures (species accumulation curves, etc); mobsim (Alban)
Thursday: Independent project/analysis: simulations, analyses of empirical and/or simulated data (Alban, Roel, Kim)
Friday: Independent project/analysis (Morning): Presentation/discussion (Afternoon)

Week 3: (January 22-26): Functional Diversity and Biodiversity and Ecosystem Functioning (BEF)

Monday: Lecture, Reading, Discussion, Exercise (Jon)
Tuesday: Measures of Functional Diversity (Hill Numbers) (Paola)
Wednesday: Biodiversity, Metacommunity Assembly, and Ecosystem Functions (biomass, stability) (Daniela, Emma)
Thursday: Independent project/analysis: analyses of empirical data (Emma)
Friday: Independent project/analysis (Morning): Presentation/discussion (Afternoon)

Course Expectations and Grading:

The learning objectives of this course will be primarily achieved by course attendence and participation in excercises and activities. Attendence/participation is mandatory. Grading will be primarily through course attendence and participation in 'in class' activities and short weeekly independent projects