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1 May 2016 Population Dynamics Based on Resource Availability & Founding Effects: Live & Computational Models
Samuel Potter, Rebecca M. Krall, Susan Mayo, Diane Johnson, Kim Zeidler-Watters, Robin L. Cooper
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Abstract

With the looming global population crisis, it is more important now than ever that students understand what factors influence population dynamics. We present three learning modules with authentic, student-centered investigations that explore rates of population growth and the importance of resources. These interdisciplinary modules integrate biology, mathematics, and computer-literacy concepts aligned with the Next Generation Science Standards. The activities are appropriate for middle and high school science classes and for introductory college-level biology courses. The modules incorporate experimentation, data collection and analysis, drawing conclusions, and application of studied principles to explore factors affecting population dynamics in fruit flies. The variables explored include initial population structure, food availability, and space of the enclosed population. In addition, we present a computational simulation in which students can alter the same variables explored in the live experimental modules to test predictions on the consequences of altering the variables. Free web-based graphing (Joinpoint) and simulation software (NetLogo) allows students to work at home or at school.

© 2016 National Association of Biology Teachers. All rights reserved. Please direct all requests for permission to photocopy or reproduce article content through the University of California Press's Reprints and Permissions web page, www.ucpress.edu/journals.php?p=reprints.
Samuel Potter, Rebecca M. Krall, Susan Mayo, Diane Johnson, Kim Zeidler-Watters, and Robin L. Cooper "Population Dynamics Based on Resource Availability & Founding Effects: Live & Computational Models," The American Biology Teacher 78(5), 396-404, (1 May 2016). https://doi.org/10.1525/abt.2016.78.5.396
Published: 1 May 2016
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KEYWORDS
Drosophila
Joinpoint
Live models
NetLogo
NGSS
population dynamics
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