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Duckweed Population Study—Student Laboratory Kit

By: The Flinn Staff

Item #: FB1433 

Price: $17.98

In Stock.

In the Duckweed Population Study Laboratory Kit for biology and life science, witness a population explosion right before your eyes and nurture and experiment with living duckweed plants.

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Product Details

Students can witness a population explosion right before their eyes as they nurture and experiment with living duckweed plants. Students start with a small number of plants and watch them reproduce vegetatively into a large matted colony, too numerous to count. Students can design their own experiments to determine factors that can affect the rate of the population explosion.

Complete for 30 students working in pairs. Duckweed cultures are available separately.

Specifications

Materials Included in Kit: 
Fertilizer, liquid, 10 mL
Petri dish, 50 mm x 15 mm, 15
Potting soil, 50 mL


Correlation to Next Generation Science Standards (NGSS)

Science & Engineering Practices

Asking questions and defining problems
Developing and using models
Planning and carrying out investigations
Analyzing and interpreting data
Constructing explanations and designing solutions
Engaging in argument from evidence
Obtaining, evaluation, and communicating information

Disciplinary Core Ideas

MS-LS2.C: Ecosystem Dynamics, Functioning, and Resilience
HS-LS2.C: Ecosystem Dynamics, Functioning, and Resilience

Crosscutting Concepts

Patterns
Cause and effect
Scale, proportion, and quantity
Systems and system models

Performance Expectations

MS-LS2-1. Analyze and interpret data to provide evidence for the effects of resource availability on organisms and populations of organisms in an ecosystem.
MS-LS2-4. Construct an argument supported by empirical evidence that changes to physical or biological components of an ecosystem affect populations.
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.