- Focuses on mathematical and computational methods while also drawing on conceptual and graphical approaches, and explores how the various approaches complement one another
- Teaches students the skills they need to implement and analyze ecological models in R
- Covers topics ranging from single-species, competition, and predator-prey models to community ecology, island biogeography, and nutrient-flux models
- Provides exercises of gradated difficulty at the end of every chapter
- Ideal for advanced undergraduate and graduate classrooms and for independent study
- Includes a road map for class planning and self-study
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