Climate Change Adaptive Science Capacity - Great Plains Landscape Conservation Cooperative Fiscal Year 2010

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The U.S. Fish and Wildlife Service (Service) is soliciting proposals for applied scientific work with fish, wildlife, and/or plants in the Great Plains Geographic Area on behalf of the Great Plains Landscape Conservation Cooperative (GPLCC). The GPLCC is an applied conservation science partnership in the Great Plains; see http://www.fws.gov/science/SHC/lcc.html for a map of the Great Plains Geographic Area, and http://www.fws.gov/science/SHC/pdf/GreatPlains.pdf for the preliminary action plan for the GPLCC. Scientific projects of interest to the GPLCC will ultimately help inform resource management decisions that address landscape-scale stressors to fish, wildlife, and plants of the Great Plains. The GPLCC was officially formed at the first meeting of its Steering Committee on March 4, 2010. Funds for scientific work in the GPLCC were appropriated to the Service in the FY 2010 budget allocation. That budget allocation contains mandatory performance measures that oblige the Service to quickly and astutely commit the funds to priority scientific projects. The quick response to this Request for Proposals (RFP) is required in order to ensure work begins as quickly as possible on FY 2010 projects in light of the expectations for deliverables by the Service before October 1, 2010. The Service expects to obligate at least $875,000 to scientific projects for the GPLCC under its Climate Change Planning and Adaptive Science Capacity Program. We urge applicants to consider the scope of their project and design projects that can be delivered in the time specified. This could mean utilizing data already collected, performing a synthesis of work from previous studies such that the project can be completed without additional field work, or other creative strategies. The GPLCC Steering Committee anticipates that future RFPs will be timelier and will allow for projects that may include one or even more field seasons and collection of new data.

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