Simpler Grants.gov #G27AS00079

USGS Aquatic Species Biogeographic Research Cooperative Agreement

The U.S. Geological Survey is seeking a Great Lakes-Northern Forest CESU partner to advance national-scale research on freshwater species and their habitats. - Government buyer: U.S. Department of the Interior, U.S. Geological Survey (USGS), Science Analytics and Synthesis. - Opportunity: One cooperative agreement for research on fish and other aquatic organisms; eligibility is limited to participating partners of the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (CESU). - Requested services: Develop, evaluate, and synthesize biogeographic information; improve freshwater species distribution models using empirical records and habitat evidence; assess model accuracy, uncertainty, and sensitivity to annual environmental variation; analyze protected areas and conservation actions; and use advanced methods, including artificial intelligence, to compile information on species distributions, traits, conservation status, and habitat preferences. - Notable requirements: Geospatial work should check for existing datasets before creating new data. Resulting GIS data must be supplied in open formats with complete feature-level metadata and provided to the relevant bureau or office. - Funding and duration: One award is anticipated, with an estimated $150,000 for a one-year project period; funds are expected to be fully obligated at award. - OEMs and vendors: No commercial OEMs, product vendors, or part numbers are identified.

Description

The U.S. Geological Survey is offering a cooperative agreement to an eligible partner of the Great Lakes-Northern Forest CESU for research on national-scale biogeographic information for fish and other aquatic organisms. The work includes improving freshwater species distribution models, evaluating habitat model accuracy and uncertainty, and using synthesis tools, including artificial intelligence, to maintain information on species traits, conservation status, and habitat preferences. The research is intended to support conservation decisions and resource management. One award is anticipated, with total estimated funding of $150,000 for a one-year budget period.

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