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Estimating Populations—Super Value Kit

By: The Flinn Staff

Estimating Populations Super Value Kit for Biology and Life Science
population, population count, population estimate
pop beads, mark/recapture, tag
ecology, wildlife biology
Estimating Populations Super Value Kit for Biology and Life Science
population, population count, population estimate
pop beads, mark/recapture, tag
ecology, wildlife biology
Item #: FB1439 

Price: $69.03

In Stock.

With the Estimating Populations Super Value Kit for biology and life science, receive firsthand experience using the mark/recapture method of counting a population, a technique often used by ecologists and biologists.

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Product Details

Students receive firsthand experience using the mark/recapture method of counting a population, a technique often used by ecologists and wildlife biologists. First, students capture individuals in their simulated population and “tag” them. Then the organisms are released back into the population. After multiple trials of marking and releasing, students mathematically predict the size of the population. Lastly, students count the actual population and determine the reliability of the mark/recapture technique. Includes 3,500+ pop beads and complete teaching instructions.

Super Value Kit is complete for 30 students working in pairs. All materials are reusable.

Specifications

Materials Included in Kit: 
Pop beads, blue, pkg/3000
Pop beads, yellow, pkg/750


Correlation to Next Generation Science Standards (NGSS)†

Science & Engineering Practices

Using mathematics and computational thinking

Disciplinary Core Ideas

MS-LS2.A: Interdependent Relationships in Ecosystems
HS-LS2.A: Interdependent Relationships in Ecosystems

Crosscutting Concepts

Scale, proportion, and quantity

Performance Expectations

HS-LS2-1. Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales.
HS-LS2-2. Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.