Nutrient Loading Module
This module was initially developed by Castendyk, D.N., T. Meixner, and C.A. Gibson. 6 June 2015. Project EDDIE: Nutrient Loading. Project EDDIE Module 7, Version 1. Module development was supported by NSF DEB 1245707.
Estimating nutrient loads is a critical concept for students studying water quality in a variety of environmental settings. Many STEM/Environmental science students will be asked to assess the impacts of a proposed anthropogenic activities on human water resources and/or ecosystems as part of their future careers. This module engages students in exploring factors contributing to the actual loads of nitrogen that are transmitted down streams. Nitrogen is a key water quality contaminant contributing to surface water quality issues in fresh, salt, and estuarine environments. Students will utilize real-time nitrate data from the US Geological Survey to calculate nitrate loads for several locations and investigate the interplay of concentration and discharge that contributes to calculated loads.

Module 6 Capstone – Reversing the Process
Jonathan Cohen, University of Delaware; Victoria E Simons, University of Delaware; Matthew Oliver, University of Delaware
This final module is a capstone project where students have to use what they have learned up until now to create their own news article based on a data set they find. The idea behind this project is that students ...

Paleoclimate and Ocean Biogeochemistry
Allison Jacobel, Middlebury College
This module guides students through an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be correlated with ...

Prairie Eco Services
Kelly Knight, Houston Community College System
As densely populated urban areas continue to expand, human activity is removing much-needed greenspaces from our communities; in turn, we are also removing critical buffers that are needed to combat air and water ...

Unit 2: Geophysical Properties of the Subsurface
Compiled by Lee Slater, Rutgers University Newark (lslater@newark.rutgers.edu) Download a ZIP file of this Unit
Archie (1950) defined the term petrophysics to describe the study of the physics of rocks, particularly with respect to the fluids they contain. Although originally focused on geophysical exploration, petrophysics ...

Physics: Permafrost
Penny Rowe, NorthWest Research Associates
Students learn what permafrost is, the implications of permafrost thawing due to climate change, and how to calculate heat diffusion through permafrost. Student activities include watching a video about permafrost, ...

Unit 2: Monitoring surface and groundwater supply in central and western US
Jonathan Harvey (Fort Lewis College) and Becca Walker (Mt San Antonio College)
In Unit 2, students learn how the techniques for water budgeting (covered in Unit 1) can be used to monitor both groundwater (High Plains Aquifer) and surface water (western mountain watershed) systems. Students ...

Nutrient Monitoring in the Chesapeake Bay
Akinyele Oni, Morgan State University; Niangoran Koissi, Morgan State University
The Chesapeake Bay waters receive input from rivers and streams from areas of Washington D.C, Maryland, Delaware, Virginia, West Virginia, and some parts of New York and Pennsylvania. Historically, humongous ...

Lake Mixing Module
This module was initially developed by Carey, C.C., J.L. Klug, and R.L. Fuller. 1 August 2015. Project EDDIE: Dynamics of Lake Mixing. Project EDDIE Module 3, Version 1. cemast.illinoisstate.edu/data-for-students/modules/lake-mixing.shtml. Module development was supported by NSF DEB 1245707.
Stratified lakes exhibit vertical gradients in organisms, nutrients, and oxygen, which have important implications for ecosystem structure and functioning. Mixing disrupts these gradients by redistributing these ...

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. ...