Browse the EDDIE Modules

EDDIE-developed modules use large publicly available online datasets that contribute to improved student quantitative reasoning. Ranging from one class period to a week, these materials have been pilot-tested and include all materials needed to complete the activities.


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Macrosystems

Results 1 - 9 of 9 matches

Teleconnections
Kaitlin Farrell, University of Georgia; Cayelan Carey, Virginia Polytechnic Institute and State Univ
Ecosystems can be influenced by teleconnections, in which meteorological, societal, and/or ecological phenomenon link remote regions via cause and effect relationships. Because it is difficult to predict how ...

Climate Change Effects on Lake Temperatures
Cayelan Carey, Virginia Polytechnic Institute and State Univ; Kaitlin Farrell, University of Georgia
Climate change is modifying the thermal structure of lakes around the globe. Because it is difficult to predict how lakes will respond to the many different aspects of climate change (e.g., altered temperature, ...

Cross-Scale Interactions
Cayelan Carey, Virginia Polytechnic Institute and State Univ; Kaitlin Farrell, University of Georgia
Environmental phenomena are often driven by multiple factors that interact across different spatial and temporal scales. In freshwater lakes and reservoirs worldwide, phytoplankton blooms are increasing in ...

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. 21 January 2021. Macrosystems EDDIE: Using Ecological Forecasts to Guide Decision-Making. Macrosystems EDDIE Module 8, Version 1. http://module8.macrosystemseddie.org. Module development was supported by NSF grants DEB-1926050 and DBI-1933016.
Because of increased variability in populations, communities, and ecosystems due to land use and climate change, there is a pressing need to know the future state of ecological systems across space and time. ...

Macro-Scale Feedbacks
Cayelan Carey, Virginia Polytechnic Institute and State Univ; Kaitlin Farrell, University of Georgia
Environmental phenomena are often driven by multiple factors that interact across space and over time. In freshwater lakes and reservoirs worldwide, carbon cycling and subsequent carbon dioxide (CO2) and methane ...

Understanding Uncertainty in Ecological Forecasts
Tadhg Moore, Virginia Polytechnic Institute and State Univ; Mary Lofton, Virginia Polytechnic Institute and State Univ; Quinn Thomas, Virginia Polytechnic Institute and State Univ; Cayelan Carey, Virginia Polytechnic Institute and State Univ
Ecological forecasting is a tool that can be used for understanding and predicting changes in populations, communities, and ecosystems. Ecological forecasting is an emerging approach which provides an estimate of ...

Using Data to Improve Ecological Forecasts
Mary Lofton, Virginia Polytechnic Institute and State Univ; Tadhg Moore, Virginia Polytechnic Institute and State Univ; Quinn Thomas, Virginia Polytechnic Institute and State Univ; Cayelan Carey, Virginia Polytechnic Institute and State Univ
How can we use data to improve ecological forecasts? To be useful for management, ecological forecasts need to be both accurate enough for managers to be able to rely on them for decision-making and include a ...

Introduction to Ecological Forecasting
Tadhg Moore, Virginia Polytechnic Institute and State Univ; Mary Lofton, Virginia Polytechnic Institute and State Univ; Quinn Thomas, Virginia Polytechnic Institute and State Univ; Cayelan Carey, Virginia Polytechnic Institute and State Univ
Ecological forecasting is a tool that can be used for understanding and predicting changes in populations, communities, and ecosystems. Ecological forecasting is an emerging approach which provides an estimate of ...

Using High-Frequency Data to Manage Water Quality
Mary Lofton, Virginia Polytechnic Institute and State Univ; Cayelan Carey, Virginia Polytechnic Institute and State Univ
In recent decades, there have been substantial improvements in our ability to monitor water quality in real time using sensors that measure variables at a high frequency (every few minutes). In this module, ...