Simpler Grants.gov #G26AS00095

USGS Cooperative Agreement for Biosurveillance Research on Invasive Species in Hawaii

This opportunity from the U.S. Geological Survey (USGS) seeks a CESU-affiliated partner for biosurveillance research on invasive species in Hawaii. - Government Buyer: - U.S. Geological Survey (USGS) - Pacific Island Ecosystems Research Center - Acquisitions and Grants Branch - Project Scope: - Develop and test a model-guided Early Detection and Rapid Response (EDRR) strategy for invasive species - Activities include: - Collaborative sampling design - Botanical surveys for new non-native species on the Island of Hawaii - Validation of citizen-science data - Specimen deposition in the Bishop Museum herbarium - Rapid assessment and application of decision workflows for response - Eligibility: - Only partners affiliated with the Hawaii-Pacific Islands Cooperative Ecosystem Studies Unit (CESU) are eligible - Notable Requirements: - Compliance with geospatial data standards - Submission of GIS data in open formats with complete metadata - Adherence to USGS data management and dissemination practices - CESU negotiated indirect cost rate of 17.5% - No cost sharing or matching required - Funding: - Total estimated funding up to $171,003 over three years - Year 1 budget: $55,078; subsequent years contingent on progress and funding - Place of Performance: - Island of Hawaii - USGS Pacific Island Ecosystems Research Center - Contracting office in Reston, VA

Description

The USGS is offering a funding opportunity to a CESU partner for research in a novel biosurveillance approach based on modeling first records of non-native species. The project aims to quickly locate new populations of non-native species to reduce ecological and economic costs. It involves implementing an Early Detection and Rapid Response (EDRR) strategy to test whether models of first records can guide biosurveillance effectively. The work includes botanical surveys, citizen-science data validation, specimen deposition, and rapid assessment of new populations, culminating in decision workflows for appropriate responses.

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