This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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  • Macrosystems EDDIE Module 2: Cross-Scale Interactions
  • Carey, Cayelan C.; Virginia Tech
    Farrell, Kaitlin J.; Virginia Tech
  • 2019-03-19
  • Carey, C.C. and K.J. Farrell. 2019. Macrosystems EDDIE Module 2: Cross-Scale Interactions ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • Environmental phenomena are often driven by multiple factors that interact across space and over time. In freshwater lakes and reservoirs worldwide, phytoplankton blooms are increasing in frequency and severity due to interactions between local, regional, and continental drivers, including land use (local) and climate change (regional) drivers. Because it is difficult to predict how phytoplankton blooms will respond to the different aspects of land use and climate change simultaneously, many researchers are using lake simulation models, which provide a powerful tool for exploring the sensitivity of ecosystems to multiple factors.

    In this module, students will learn how to set up a lake simulation model and "force" the model with climate and land use scenarios to test hypotheses about how local and regional drivers interact to promote or suppress phytoplankton blooms in different lakes.

    The overarching goal of this module is for students to explore new modeling and computing tools while learning fundamental concepts about how non-linear macrosystem-level phenomena (e.g., lake phytoplankton blooms) can occur through cross-scale interactions. The A-B-C structure of this module makes it flexible and adaptable to a range of student levels and course structures.

    This dataset contains instructional materials and the files necessary to run the complete module. Readers are referred to the GLM science manual (Hipsey et al. 2014) for further details on model configuration.

  • N: 37.229596      S: 37.22854      E: -80.424863      W: -80.426228
  • edi.278.1  (Uploaded 2019-03-19)  
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  • Data Entities:
    1. This zip folder contains materials for instructors to teach the Macrosystems EDDIE  (4.3 MiB; 6 downloads) 
    2. This zip folder contains materials for students to implement the Macrosystems EDDIE  (1.1 MiB; 6 downloads) 
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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