Ecosystem Simulation Modeling introduces process-based mathematical models of ecosystems simulated on the computer, covering pools, fluxes, and regulatory factors.
Use systems thinking to link research questions to appropriate model structure and experiments.
Develop and interpret a simple ecosystem simulation model.
Diagram inputs, stocks (state variables), flows, controls and outputs for an ecosystem model.
Translate system diagrams to mathematical equations.
Parameterize, calibrate and evaluate a model.
Design simulation experiments and analyze results.
Communicate results of a modeling study in written and verbal modes.
Source: UW Guide 1· UW Guide 2· UW Guide 3
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 0 | 0 |
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
| LEC 001 | Classroom Instruction | 0 / 20 | 0 |
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Introduces process-based mathematical models of ecosystems that are simulated on the computer. Ecosystem simulation models describe the major pools and fluxes in an ecosystem and the factors that regulate those fluxes. Mathematical equations are used to represent the processes that control how major pools (state variables) of an ecosystem change over time. Mechanistically rich, process-based ecosystem models are increasingly seen as critical for anticipating ecosystem change in a no-analog world. Learn why and how ecosystem simulation models are used in ecology. Knowledge of general ecology such as (e.g.ZOOLOGY/BOTANY 460) is strongly encouraged.
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Ecosystem Simulation Modeling
Recorded 2026-10-29Ecosystem Simulation Modeling
Recorded 2026-10-29Ecosystem Simulation Modeling
Recorded 2026-10-29[
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]Original comments behind the course and instructor summaries.
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Explore recorded gradesRecorded 2026-10-29
Recorded model configuration, reasoning, and tool conversations.
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