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Workflow Playbook
Use educational ecology models to explore population growth, carrying capacity, species interactions, sampled biodiversity, and trophic energy transfer.
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This workflow is for teaching and checking ecological calculations, not for promising real-world forecasts. Begin by deciding whether the lesson is about a single population, a pair of interacting species, a sampled community, or a food-web energy question. That choice determines whether the first tool should model growth, fit carrying capacity, simulate interaction, estimate abundance, or summarize diversity.
Use exponential-growth-population, logistic-growth-calculator, carrying-capacity-estimator, and population-doubling-time-rule70 to make population assumptions visible. Then use lotka-volterra-competition and lotka-volterra-predator-prey to compare how simple interaction parameters change outcomes. These simulations are strongest when students discuss what the model leaves out, such as migration, age structure, seasonal forcing, and habitat change.
Field-style counts can be checked with mark-recapture-estimator, then summarized with species-richness-evenness, shannon-diversity-index, and simpson-diversity-index. Food-web lessons can add biomass-pyramid and trophic-level-efficiency to connect abundance patterns with energy transfer. A strong final answer states the inputs, model assumptions, limitations, and what additional field evidence would be needed before making an ecological management claim.
Workflow playbook
Start with growth and carrying-capacity tools to compare unconstrained growth, logistic slowing, inferred K, and doubling or halving time before adding species interactions.
Use competition and predator-prey simulations to test how parameter choices change coexistence, exclusion, oscillation, or collapse in a controlled teaching model.
Connect field counts to community summaries by estimating population size from mark-recapture data and comparing richness, evenness, Shannon, and Simpson diversity.
Finish by modeling biomass or energy pyramids and checking measured trophic transfer efficiency, while clearly separating idealized energy-flow lessons from field prediction.
Use exponential, logistic, carrying-capacity, and doubling-time tools for one population; Lotka-Volterra tools for two-species interactions; and diversity or trophic tools for community and food-web summaries.
Use mark-recapture and carrying-capacity fitting when the class has observations, but use forward growth and interaction simulators when the goal is to test assumptions and compare model behavior.