This video features research conducted at University of Colorado's Institute of Arctic …
This video features research conducted at University of Colorado's Institute of Arctic and Alpine Research, which studies isotopes of hydrogen trapped in ice cores to understand climate changes in the past.
Stratified lakes exhibit vertical gradients in organisms, nutrients, and oxygen, which have …
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 materials throughout the water column. Consequently, it is critical to understand the drivers of lake mixing and thermal stratification, especially because of the sensitivity of lake thermal conditions to altered climate. In this module, students will explore spatial and temporal patterns of lake mixing using high-frequency temperature data from lakes around the world. They will also explore how increases in air temperature affect thermal stratification by interpreting output from a lake model. Project EDDIE modules are designed with an A-B-C structure to make them flexible and adaptable to a range of student levels and course structures.
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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.
Because of increased variability in populations, communities, and ecosystems due to land …
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. Ecological forecasting is an emerging approach which provides an estimate of the future state of an ecological system with uncertainty, allowing society to preemptively prepare for fluctuations in important ecosystem services. However, forecasts must be effectively designed and communicated to those who need them to realize their potential for protecting natural resources. In this module, students will explore real ecological forecast visualizations, identify ways to represent uncertainty, make management decisions using forecast visualizations and learn decision support techniques. Lastly, students will then customize a forecast visualization for a specific forecast user's decision needs. The overarching goal of this module is for students to understand how forecasts are connected to decision-making of forecast users, or the managers, policy-makers, and other members of society who use forecasts to inform decision-making.
(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)
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.
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