Week 11: Community Composition Across Space¶
Core Questions¶
- How can multispecies community composition be represented spatially?
- Where does community composition change most rapidly across geographic space?
- How do turnover, nestedness, and distance decay describe beta diversity?
Concepts¶
- Site-by-species matrices.
- Beta diversity.
- Bray-Curtis and Jaccard dissimilarity.
- Community turnover and nestedness.
- Distance-decay relationships.
- Community composition across space.
Python Tools¶
- pandas.
- scipy.
- scikit-learn.
- GeoPandas.
Applied Lab¶
Students calculate community dissimilarity among sites, map spatial turnover, and test a distance-decay relationship between community dissimilarity and geographic distance.
Deliverable¶
Submit a community composition analysis with a site-by-species matrix, dissimilarity metric, map, and distance-decay figure.