Computational Model Library

Fertility Tradeoffs (1.0.1)

Fertility Tradeoffs is a NetLogo model that illustrates the emergent tradeoffs between the quality and quantity of offspring. Often, we associate high fitness with maximizing the number of offspring. However, under certain circumstances, it pays instead to optimize the number of offspring, having fewer offspring than is possible. When the number of offspring is reduced, more energy can be invested in each offspring, which can have fitness benefits.

Screenshot 2019-11-04 22.29.34.png

Release Notes

This model is compatible with NetLogo 6.

Associated Publications

Fertility Tradeoffs 1.0.1

Submitted by Kristin Crouse Published Apr 06, 2023 Last modified Feb 19, 2026
parental investment human demographic tranistion fertility tradeoffs

Fertility Tradeoffs is a NetLogo model that illustrates the emergent tradeoffs between the quality and quantity of offspring. Often, we associate high fitness with maximizing the number of offspring. However, under certain circumstances, it pays instead to optimize the number of offspring, having fewer offspring than is possible. When the number of offspring is reduced, more energy can be invested in each offspring, which can have fitness benefits.

Release Notes

This model is compatible with NetLogo 6.

Cite this Model

Kristin Crouse (2023, April 06). “Fertility Tradeoffs” (Version 1.0.1). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/8162555d-6270-4208-ad3a-d2aedaaa8dde/releases/1.0.1/

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Contributors
Kristin Crouse
DOI
No assigned DOI
Model Version
1.0.1
License
Apache-2.0
Programming Language
NetLogo
Software Framework
NetLogo
Operating System
Operating System Independent
Publish Date
Thursday, April 06, 2023
Last Updated
Thursday, February 19, 2026
Downloads 1011
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.1 Kristin Crouse Thu Apr 6 03:04:02 2023 Thu Feb 19 22:38:08 2026 Published
1.0.0 Kristin Crouse Sun Mar 22 09:45:14 2020 Thu Feb 19 22:38:10 2026 Published

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