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Project EDDIE

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Water Quality Module part of Project EDDIE:Teaching Materials:Modules
Water quality is a critical concept for undergraduate students studying Earth Sciences, Biology, and Environmental Sciences. Many of these students will be asked to assess the impacts of a proposed anthropogenic ...

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Nutrient Loading Module part of Project EDDIE:Teaching Materials:Modules
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.

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Nutrient Monitoring in the Chesapeake Bay part of Project EDDIE:Teaching Materials:Modules
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 ...

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Lake Mixing Module part of Project EDDIE:Teaching Materials:Modules
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 ...

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Using Ecological Forecasts to Guide Decision Making part of Project EDDIE:Teaching Materials:Modules
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. ...

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Biomes, Vegetation Structure, and Canopy Height part of Project EDDIE:Teaching Materials:Modules
Students will develop a concept of vegetation structure and biomes through an exploration of field site data from the National Ecological Observatory Network (NEON) project. Students will compare characteristics of major groups of plants with respect to heat and drought tolerance, develop hypotheses for how canopy height may vary by several abiotic factors, and evaluate their hypotheses using graphed data, trendlines and r-squared values.

Biodiversity part of Project EDDIE:Teaching Materials:Modules
In this module, students will analyze data from the Florida Keys Reef Visual Census (FKRVS), a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. Students will calculate the species richness as well as the Shannon index and Pielou's evenness index across different years of data and between different reef types. Furthermore, students will explore how years with high frequencies of hurricanes impact these measures. The module culminates with students writing a summary finding of how reef types and hurricane frequency will impact the FKRVS in the future.

Phenology Trends and Climate Change in Minnesota part of Project EDDIE:Teaching Materials:Modules
Seasonal events, for example flowering, fruiting, and the return of migrating birds, happen at particular times of the year. Some of these events happen in relation to climate, while others are dependent on other ...

Introduction to Ecological Forecasting part of Project EDDIE:Teaching Materials:Modules
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 ...

Soil Respiration Module part of Project EDDIE:Teaching Materials:Modules
Soils hold more carbon (C) than any other component of the terrestrial biosphere! In this module, students will explore high-frequency, sensor-based datasets documenting climate variables and the emissions of C (as ...