The More The Merrier in The Math of Population Ecology
Victor Padron
Normandale Community College,
This activity was selected for the Teaching Computation in the Sciences Using MATLAB Peer Reviewed Teaching Collection
This activity has received positive reviews in a peer review process involving five review categories. The five categories included in the process are
- Computational, Quantitative, and Scientific Accuracy
- Alignment of Learning Goals, Activities, and Assessments
- Pedagogic Effectiveness
- Robustness (usability and dependability of all components)
- Completeness of the ActivitySheet web page
For more information about the peer review process itself, please see https://serc.carleton.edu/teaching_computation/materials/activity_review.html.
This activity was selected for the On the Cutting Edge Reviewed Teaching Collection
This activity has received positive reviews in a peer review process involving five review categories. The five categories included in the process are
- Scientific Accuracy
- Alignment of Learning Goals, Activities, and Assessments
- Pedagogic Effectiveness
- Robustness (usability and dependability of all components)
- Completeness of the ActivitySheet web page
For more information about the peer review process itself, please see https://serc.carleton.edu/teachearth/activity_review.html.
- First Publication: October 7, 2016
- Reviewed: November 15, 2018 -- Reviewed by the On the MATLAB Activity Review Process
- Reviewed: December 10, 2020 -- Reviewed by the On the Cutting Edge Activity Review Process
Summary
This is a teaching module, directed to undergraduate students in applied mathematics, that derives a mathematical model of population ecology describing the role of dispersal in the survival of a population in danger of extinction. Students working with the module will write a computer code, using a software such as MATLAB or Mathematica, to obtain numerical solutions of the model. They will use the numerical simulations to explore the mathematical properties of the model and interpret the results in the ecological context
Topics
Mathematics
Grade Level
College Lower (13-14), College Upper (15-16)
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Learning Goals
The primary goals of this activity are twofold.
1. To increase student's motivation to learn mathematics by making it relevant to their lives; connecting mathematics learning to the goals and interests that students bring to college; and showing how mathematics relates to other disciplines, important civic questions, and technological challenges.
2. To develop basic skills in programming and scientific computing by writing their own computer code with graphical representation of the solutions.
Context for Use
This module is directed to undergraduate students in applied mathematics, as in a course of mathematical modeling or calculus with differential equations. I have used versions of this material as an end of course group project, but it could also be used as individual project.
Description and Teaching Materials
The More The Merrier Handout is a hands on introduction to mathematical modeling in population ecology. Population Ecology has ben defined as ``the science of what makes animal and plant populations change, persist, or go extinct"
1.
A demographic tension between
competition and
cooperation drives the dynamics of many species. Population declines when
competition among individuals for diminishing resources occurs at hight density levels. In this case fewer individuals benefit from more resources, but they may also suffer from a lack of support of conspecifics. Below a threshold value the death rate is higher than the birth rate because, on average, the individuals cannot reproduce successfully. This imposes a need for
cooperation among individuals to increase the population and guarantee the survival of the species at low density.
Starting with the simplest model of exponential growth we progressively add enough features to the model in order to obtain a reasonable mathematical description of this phenomenon.
Students working with the module will write a computer code, using a software such as MATLAB or Mathematica, to obtain numerical solutions of the model. They will use the numerical simulations to explore the mathematical results in the context of this important topic of population ecology.
The file Population Script (private instructor-only file) is a MATLAB script that uses the ODE solver ode45 to obtain numerical solutions of the system of differential equations of the model, with corresponding graphical outputs. It calls the MATLAB function Population Vector Field (private instructor-only file) to compute the vector field of the ODE system. A Mathematica version for these computation is included in the Population Notebook (private instructor-only file.)
The More The Merrier Handout (Acrobat (PDF) 498kB Jan4 18)
Population Script
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Population Vector Field
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Population Notebook
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1 B.W. Brook, "The Allure of the Few", PLoS Biol 6(5): e127 (2008). doi:10.1371/journal.pbio.0060127
Teaching Notes and Tips
Although the module includes a self-contained introduction to the ecological motivations and derivation of the model, I usually dedicate a few lectures during the semester to discuss the material.
Basic skills in programming are expected to complete the project. These skills could be developed during the semester by integrating a software such as MATLAB or Mathematica as the main simulation tool within the course. Depending on the level of expertise required, instructors may or may not choose to provide the included private instructors-only MATLAB and Mathematica files to their students.
Assessment
I use SENCER SALG pre- and post-assessment to assess the changes in student's perception of mathematics, its interaction with other disciplines, and its role in addressing relevant social issues. The SENCER SALG, http://salgsite.org/, is an online free course-evaluation tool that allows college-level instructors to gather learning-focused feedback from students. Instructors are guided through a wizard, using an adaptable template, to design their own instrument.
References and Resources
V. Padron, M.C. Trevisan, Effect of aggregating behaviour on population recovery on a set of habitat islands, Math. Biosci. 165 (2000) 63.