Profile for James Peirce

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James Peirce

Mathematics & Statistics
University of Wisconsin-La Crosse

Specialty area(s)

Mathematical Ecology and Differential Equations

Brief biography

As an applied mathematician, I love incorporating problems from mathematical biology into my courses. My research focuses on host-parasite models in the field of Mathematical Ecology.  I enjoy sampling host populations with my biology collaborators from sites within the Upper Mississippi River and the sandy beaches of California.  Since 2004, I have directed numerous undergraduate research projects (often pairing mathematics and biology students) in the hope of developing the next generation of mathematical ecologists.  In all of the projects, students received research stipends from UW-L or the National Science Foundation.

Current courses at UWL

MTH 160 Math for Business

MTH 208 Calculus II


Ph.D. in Mathematics from U.C. Davis (2004)
B.S. in Mathematics from U. of Washington (1997)


Teaching history

I have taught the following courses at UW-L:

STAT 145 Elementary Statistics
MTH 150 College Algebra
MTH 151 Pre-Calculus
MTH 175 Business Calculus
MTH 207 Calculus I
MTH 208 Calculus II
MTH 265 Mathematical Models in Biology
MTH 309 Linear Algebra with Differential Equations
MTH 310 Calculus III
MTH 353 Differential Equations
MTH 461 Mathematical Physics
MTH 480 Topics in Applied Mathematics
MTH 480 Mathematical Ecology

Research and publishing

  1. Peirce JP, Sandland G, Erickson R. (2021) MetaIPM: A Meta-population Integral Projection Model. [Internet]. Version 1.0.0. Reston, Va: U.S. Geological Survey software release. MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model for species living in distinct habitat patches. Available from:
  2. Sandland, G. J., & Peirce, J. P. (2021). Patterns of Sphaeridiotrema pseudoglobulus infection in sympatric and allopatric hosts (Bithynia tentaculata) originating from widely separated sites across the USA. Parasitology Research, 120(1), 187-195.
  3. Peirce, J. P., Pellett, J. J., & Sandland, G. J. (2020). A mathematical model for the control of swimmer's itch. Natural Resource Modeling, 33(4), e12275.
  4. Bennie, B., Eager, E. A., Peirce, J. P., & Sandland, G. J. (2018). Using a Summer REU to Help Develop the Next Generation of Mathematical Ecologists. Bulletin of mathematical biology, 80(4), 926-944.
  5. Peirce, J. P., G. J. Sandland, B. Bennie, and R. J. Haro.(2016) "Modeling and analysis of a temperature-driven outbreak of waterfowl disease in the Upper Mississippi River." Ecological Modelling 320: 71-78.


  6. Eberle, M., Eager, E. A., & Peirce, J. (2016). How Infectious Was# Deflategate?. Spora: A Journal of Biomathematics, 1(1), 5.


  7. Sandland, G. J., Gillis, R., Haro, R. J., & Peirce, J. P. (2014). Infection patterns in invasive and native snail hosts exposed to a parasite associated with waterfowl mortality in the Upper Mississippi River, USA. Journal of wildlife diseases, 50(1), 125-129.


  8. Alan Eager, E., Peirce, J., & Barlow, P. (2014). Math Bio or Biomath? Flipping the mathematical biology classroom. Letters in Biomathematics, 1(2), 139-155.


Current Research

Temperature-driven Host-Parasite Model

with Greg Sandland (UWL Biology)

Project Summary

In collaboration with Dr. Greg Sandland (UWL Biology Dept.), we study an annual model for waterfowl disease in the Upper Mississippi River. Transmission relies on stochastic water temperatures gleaned from empirical studies. As annual average temperatures rise, infected host populations initially increase. Infected host populations decay after temperatures exceed a certain threshold. Increasing temperatures in the region may have a negative effect on parasites.


Bithynia tentaculata is an invasive snail that was discovered in the Upper Mississippi River (UMR) in 2002. In addition to being a threat to native benthos, the snail also harbors parasite associated with annual outbreaks of waterfowl mortality in the UMR. Trophic transmission of parasites between snails and birds occurs during seasonal waterfowl migrations, which can depend intimately on temperature. We developed an annual model for waterfowl disease in the UMR where transmission depends on water temperatures gleaned from empirical studies. By running simulations from annual temperature profiles selected randomly from a normal distribution, we quantified the association between the number of infected hosts and annual average temperatures. Model output demonstrated that as annual average temperatures rise, infected host populations initially increase and then decay after temperatures exceed a certain threshold. Results from this work suggest that increasing temperatures in the region may have a negative effect on parasites, decreasing their transmission and reducing infected host populations.

  • Peirce, J. P., G. J. Sandland, B. Bennie, and R. J. Haro. "Modeling and analysis of a temperature-driven outbreak of waterfowl disease in the Upper Mississippi River." Ecological Modelling 320 (2016): 71-78.
  • Sandland, Gregory J., et al. "Infection patterns in invasive and native snail hosts exposed to a parasite associated with waterfowl mortality in the Upper Mississippi River, USA." Journal of wildlife diseases 50.1 (2014): 125-129.

Background Papers

  • Altizer, Sonia, et al. "Seasonality and the dynamics of infectious diseases." Ecology letters 9.4 (2006): 467-484.
  • Grassly, Nicholas C., and Christophe Fraser. "Seasonal infectious disease epidemiology." Proceedings of the Royal Society of London B: Biological Sciences 273.1600 (2006): 2541-2550.
  • Liu, Luju, Xiao-Qiang Zhao, and Yicang Zhou. "A tuberculosis model with seasonality." Bulletin of mathematical biology 72.4 (2010): 931-952.
  • Wesley, Curtis L., and Linda JS Allen. "The basic reproduction number in epidemic models with periodic demographics." Journal of biological dynamics 3.2-3 (2009): 116-129.
  • Zhang, Juan, et al. "Modeling seasonal rabies epidemics in China." Bulletin of mathematical biology 74.5 (2012): 1226-1251.

Modeling the Influence of El Niño on Parasite Transmission in Sand Crab Populations and Shorebird Abundance Along the California Coast

with Dr. Olcay Akman(Ill. State Univ.) and Abou Seck(Ill. State Univ.)

Project Summary

I'm working with a graduate student at Illinois State University to investigate how El Niño may effect the mortality of shorebirds along the beaches of California.


Pacific mole crabs (Emerita analoga) are one of the most important and abundant invertebrates in sandy beach environments.  Consequently, they are a common food source for shorebirds and sea otters.  Since the mole crab serves as the primary intermediate host for acanthocephalans parasites, they have been linked to a number of mortality events. It is currently estimated that 13-16% of deaths in the threatened California sea otter population have been caused by infection. In addition, unusually high loads of acanthocephalan parasites have been linked to episodic deaths of thousands of surf scoters. Studies suggest that acanthocephalan development and transmission may be strongly effected by weather patterns.  We have created a system of differential equations for parasite transmission between scoter, crab, and sea otter populations.  Temperature-dependent parameters within the model allow us to examine the role climate oscillation in El Niño and La Niña years has on abundances of infected hosts.

Biomath Curriculum

In 2009, I created a course, Mathematical Models in Biology, for students with only a Calculus I background. The course introduces students (early!) to the mathematical modeling process as it applied to the biological and chemical sciences. Students are provided an introduction to discrete- and continuous-time dynamical systems and inferential statistics. They are repeatedly expected to: develop a conceptual models, formulate a mathematical models from the conceptual model, analyze the model using mathematics or computer programming (in this class, we use R), and validate the model by comparing results to their initial assumptions. My colleague, Eric Eager, recently flipped the course so that the lecture content was watched outside of class and students worked on case studies during class. A summary of the course and the flipped format can be found in the paper referenced below.

  • E Alan Eager, J Peirce, P Barlow. "Math Bio or Biomath? Flipping the mathematical biology classroom." Letters in Biomathematics 1 (2), 139-155.

Previous Projects

UBM-Collaborations on Riverine Ecology

2010-2013 - Our interdisciplinary team received a National Science Foundation grant, “UBM-CORE: Collaborations on Riverine Ecology“ (PI: J. Peirce, Co-PIs: G. Sandland, R. Haro, and B. Bennie), to investigate various aspects of species invasion and disease transmission. The CORE project supported the research of four undergraduate students from UWL per year for three years. The mathematics and biology students supported by the grant worked in interdisciplinary pairs to address ecologically relevant questions empirically with laboratory experiments and/or field observations and theoretically with mathematical and/or statistical models.

CORE Students have made over 40 oral or poster presentations at local, regional, and national levels. Venues of dissemination include JMM, the National Conference on Undergraduate Research, and the National Institute for Mathematical and Biological Synthesis. A noteworthy impact of the CORE program was the development of research skills and experience for the 12 participating undergraduate mathematics and biology students. Through their participation in CORE, the students have developed a strong understanding of disease dynamics and developing models around such systems. In addition, students have had the opportunity to put their theoretical questions into practice by designing empirical experiments that not only test their hypotheses, but also elucidate parameters for their theoretical models. To date, all 12 students have finished their undergraduate degrees, five have gone on to graduate school in STEM fields, and one specifically in Mathematical Biology. Two other students are employed in a capacity that supports research at the interface between math and biology.

Example of projects:

  • A model for optimal energy allocation for a snail host exposed to parasite infection (2013).
  • Modeling the effects of multiple host species on disease transmission in the Upper Mississippi River (2012).
  • Investigating the role of host competition in the transmission of waterfowl disease in the upper Mississippi River (2011).

UWL Dean's Distinguished Summer Fellowship

  • Investigating the dependence of transmission rate to water temperature in a host-parasite system (2014-2015)
  • Predicting and Understanding Waterfowl Die-offs (2010)

How Infectious was #Deflategate

In mid-Janurary 2015 the National Football League (NFL) started an investigation into whether the New England Patriots deliberately deflated the footballs used during their AFC Championship win. Like an infectious disease, the initial discussion regarding Deflategate grew rapidly on social media sites in the days after the release of the story, only to slowly dissipate as interest in the NFL waned following the completion of its season. Working with my colleague, Eric Eager, and a student we apply a simple epidemic model for the infectiousness of the Deflategate news story. We find that the infectiousness of Deflategate rivals that of many of the infectious diseases that we have seen historically, and is actually more infectious than recent news stories of seemingly greater cultural importance.

  • Eberle, Megan, Eric A. Eager, and James Peirce. "How Infectious Was #Deflategate?." Spora: A Journal of Biomathematics 1.1 (2016):



Richard Erickson, US Geological Survey, Upper Midwest Environmental Sciences Center; Gregory Sandland, Biology; and Barbara Bennie and James Peirce, both Mathematics & Statistics; co-authored the article "An integral projection model for gizzard shad (Dorosoma cepedianum) utilizing density-dependent age-0 survival" in Ecological Modeling published on Thursday, Dec. 29 by Elsevier. A collaboration between Mathematics, Statistics, Biology, and the USGS.

Submitted on: Dec. 29, 2022



James Peirce, Mathematics & Statistics, presented "Research Training for Next Generation of Scholars" at Next Generation of STEM Scientists: Building Skills, Collaborations and Networks with Global Leaders on Friday, Aug. 5 online. Invited panelist at Indo-US conference.

Submitted on: Aug. 5, 2022



Gregory Sandland, Biology and James Peirce, Mathematics & Statistics, presented "An integral projection model for Gizzard Shad: Utilizing density-dependent age-0 survival" at International Symposium in Biomathematics, Ecology, Education, and Research (BEER-XIV) on Nov. 13 online.

Submitted on: Nov. 17, 2021



James Peirce, Mathematics & Statistics, presented "Mathematical Model of Parasite Transmission in Sand Crab Populations Along the California Coast" at Pepperdine University - Math Club on March 10 in Malibu, CA. An informal discussion was held on modeling parasite infections in sand crab populations and its effect on the California sea otter population.The topic of the talk provided undergrad students, especially new or potential math majors, an example of how applied mathematics can aid in local (Pepperdine) conservation efforts.

Submitted on: Mar. 29, 2020



Gregory Sandland, Biology and James Peirce, Mathematics & Statistics, presented "Using Empirical and Theoretical Approaches to Control Outbreaks of an Emerging Disease (Swimmer's Itch) in the Midwest of the U.S.A." at Pepperdine University - Natural Science seminar on March 10 in Malibu, CA.

Submitted on: Mar. 29, 2020