Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forests Cooperative Ecosystem Studies Unit

The summary for the Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forests Cooperative Ecosystem Studies Unit grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Geological Survey, which is the U.S. government agency offering this grant.

Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forests Cooperative Ecosystem Studies Unit: The USGS is offering a funding opportunity to a CESU partner for research to provide Computer modeling to support Lake Erie nutrient adaptive management. This CESU project will provide support for up to one year. The goal of this work is to provide modeling analysis as part of and in support of the Lake Erie Data and Modeling Working Group of Adaptive Management Task Team, under the GLWQA Nutrient Annex. This CESU will complement ongoing work being conducted by USGS to understand the interaction of nutrient, invasive species, and other stressors in the Great Lakes and provide scientific leadership to the Adaptive Management Task Team. CESU and USGS partners will work closely through the Lake Erie Data and Modeling Working Group to select an appropriate set of ecosystem models; identify data requirements; acquire, harmonize, and synthesize data needed for models; identify modeling scenarios; and compare modelled results to one another and to in-lake outcomes. Additionally, the CESU partner will provide model calibration, validation, and test runs of agreed upon scenarios using their in-house ecosystem model(s). Results from these efforts will extend abilities to predict Lake Erie response to nutrient management and concurrent ecosystem stressors and support adaptive management of this system.