Macrosystems ecology is the study of ecological dynamics at multiple interacting spatial and temporal scales (e.g., Heffernan et al. 2014). Macrosystems ecology recently emerged as a new sub-discipline of ecology to study ecosystems and ecological communities around the globe that are changing at an unprecedented rate because of human activities (IPCC 2013). The responses of ecosystems and communities are complex, non-linear, and driven by feedbacks across local, regional, and global scales (Heffernan et al. 2014). These characteristics necessitate novel approaches for making predictions about how systems may continue to change across time and space. Consequently, macrosystems ecologists are increasingly combining large datasets of sensor observations with simulation models of ecological phenomena to predict how changes in climate, land use, and other factors may affect the structure and function of communities and ecosystems (Weathers et al. 2016).
Our interdisciplinary team is developing flexible classroom modules that introduce undergraduate students to the core concepts of macrosystems ecology and simulation modeling through the lens of limnology. Each module utilizes long-term, high-frequency, and sensor-based datasets from diverse sources, including the Global Lakes Ecological Observatory Network, the United States Geological Survey, the Long Term Ecological Research Network, and the National Ecological Observatory Network.
Each module can be adapted for use in introductory, intermediate, and advanced courses in ecology and related fields, in order to enhance students' understanding of macrosystems ecology, their computational skills, and their ability to conduct inquiry-based studies.
Macrosystems EDDIE Modules
Climate Change Effects on Lake Temperatures
Modules currently under development
Our objective is to develop stand-alone, modular classroom activities for undergraduate students that use publicly-available, long-term, and high-frequency datasets to explore the core concepts of macrosystems ecology while developing quantitative literacy.
The Macrosystems EDDIE modules are specifically designed to help students achieve the following pedagogical goals:
- Improve students' ability to understand and predict how local, regional, and continental processes interact to mediate responses to human activities
- Gain computational skills through engagement in simulation modeling, computer programming, distributed computing, and the analysis of large datasets
- Develop hypotheses, conduct inquiry-based studies to test them, and evaluate if their hypotheses are supported or rejected by data
During the 2017-2018 and 2018-2019 academic years, we will be using pre- and post-module student questionnaires and soliciting instructor feedback to assess whether our Macrosystems EDDIE modules are achieving their pedagogical goals. These assessments will allow us to determine whether the modules are helping increase students' understanding of macrosystems ecology and modeling skills, and will allow us to revise modules as needed to maximize their utility to instructors and students. Previous assessments of modules through Project EDDIE found that students who completed EDDIE modules had significantly improved data manipulation skills, an increased understanding of how to use large datasets, and a greater appreciation for the value of high-resolution and long-term data. Thus, in addition to developing critical quantitative and modeling skills, working with high-frequency sensor datasets cements the real-world application of basic ecological concepts.
Publications and Presentations
Learn more about Macrosystems EDDIE by exploring our Publications and Presentations
Macrosystems EDDIE is supported by funding from NSF EF 1702506, and leverages additional support from NSF DEB 1245707 and ACI 1234983.
We welcome your feedback!
If you have any comments, questions, or suggestions to provide to the Macrosystems EDDIE team, please fill out our brief Feedback Form!
References and Resources
- Brookes, J. D., and C. C. Carey. 2011. Resilience to Blooms. Science 334:46–47.
- Heffernan, J.B., et al. 2014. "Macrosystems ecology: understanding ecological patterns and processes at continental scales." Frontiers in Ecology and the Environment 12.1: 5-14. Available: http://onlinelibrary.wiley.com/doi/10.1890/130017/abstract
- IPCC. 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Page (T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, and P. M. Midgley, Eds.). Cambridge University Press, New York, NY. Available: http://www.ipcc.ch/report/ar5/wg1/
- Weathers, K. C., P. M. Groffman, E. Van Dolah, E. Bernhardt, N. B. Grimm, K. McMahon, J. Schimel, M. Paolisso, R. Maranger, S. Baer, K. Brauman, and E. Hinckley. 2016. Frontiers in Ecosystem Ecology from a Community Perspective: The Future is Boundless and Bright. Ecosystems 19:753–770. Available: https://link.springer.com/article/10.1007%2Fs10021-016-9967-0