Macrosystems EDDIE Modules
Explore the Macrosystems EDDIE modules below. Modules are designed with an A-B-C structure that makes them flexible and adaptable to a range of student levels and course structures. Each module page includes the activity goals, step-by-step instructor guides for implementing the activity, and presentations, handouts and data needed for each activity.
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Climate Change Effects on Lake Temperatures
This module was developed by C.C. Carey, S. Aditya, K. Subratie, R. Figueiredo, and K.J. Farrell. Parts of this module were originally developed for the Lake Modeling Moduleas part of the Project EDDIE suite of modules.
Climate change is modifying the thermal structure of lakes around the globe. In this module, students will learn how to use a lake model to explore the effects of altered weather on lakes, and then develop their own climate scenarios to test hypotheses about how lakes may change in the future.
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Cross-Scale Interactions
This module was developed by C.C. Carey, and K.J. Farrell.
Phytoplankton blooms emerge through cross-scale interactions between climate and land use drivers across local to continental scales. In this module, students will explore how changes in climate and land use alter lakes, with the goal of predicting how these local and regional drivers will interact to promote or suppress phytoplankton blooms.
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Teleconnections
This module was developed by K.J. Farrell and C.C. Carey.
Ecosystems can be influenced via teleconnections, in which meteorological, societal, and/or ecological changes in one region affect climate and associated ecological responses in a distant region. In this module, students will explore how distant drivers interact with local lake characteristics to affect water temperatures and ice cover in different lakes.
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Macro-Scale Feedbacks
This module was developed by C.C. Carey, K.J. Farrell, and A.G. Hounshell.
Environmental phenomena, including carbon cycling and greenhouse gas fluxes, are often driven by multiple factors that interact across space and over time. In this module, students "force" a lake model with climate scenarios to test hypotheses about how local and global drivers interact to promote or suppress greenhouse gas fluxes in different lakes.
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Introduction to Ecological Forecasting
This module was developed by T.N. Moore, M.E. Lofton, C.C. Carey, and R.Q. Thomas.
Ecological forecasting is an emerging approach which provides an estimate of the future state of an ecological system with uncertainty, allowing society to prepare for changes in important ecosystem services. In this module, students will apply the iterative forecasting cycle to develop an ecological forecast for a National Ecological Observation Network (NEON) site.
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Understanding Uncertainty in Ecological Forecasts
This module was developed by T.N. Moore, M.E. Lofton, C.C. Carey, and R.Q. Thomas.
Uncertainty is a crucial part of an ecological forecast, understanding where it comes from, techniques in how it can be measured and ways in which it can be reduced to provide more accurate forecasts. In this module, students will generate an ecological forecast for a NEON site and quantify the different sources of uncertainty within their forecast.
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Using Data to Improve Ecological Forecasts
This module was developed by M.E. Lofton, T.N. Moore, C.C. Carey, and R.Q. Thomas.
Currently there are vast networks which collect data at various frequencies across multiple ecosystems. This data can be combined with ecological forecasts to improve our near-term predictions of ecosystem states. The process of using data to improve forecasts is called data assimilation.
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Using Ecological Forecasts to Guide Decision Making
This module was developed by W.M. Woelmer, R.Q. Thomas, T.N. Moore and C.C. Carey.
Ecological forecasting is an emerging approach which allows society to preemptively prepare for fluctuations in important ecosystem services. Forecasts that are effectively designed and communicated to managers and the public will be most effective in realizing their potential for protecting natural resources.