AT-24-04: Collecting Fisheries Ecological Knowledge (FEK) for Use in Gulf of Maine Offshore Wind

Closed

Bureau of Ocean Energy Management

Description

Fisher’s Ecological Knowledge (FEK) provides a rich and untapped source of information that can be used to inform BOEM’s decisions regarding offshore wind; however, FEK has been vastly underutilized. The objective of this study is to collect FEK to improve BOEM’s understanding of the use of the Gulf of Maine for fishing and the importance of fishing to the regional economy. BOEM will partner with the Responsible Offshore Science Alliance, and potentially with other interested organizations, to conduct this study.This study will identify local fishing communities willing to provide FEK and conduct interviews and workshops to collect the information. Importantly, the study will establish and execute clear methods for documenting, validating, and analyzing FEK. Collected data will be synthesized in an acceptable format (i.e., GIS and report documentation) to ensure the information can be incorporated into planning and resource management decisions.Additional planned tasks to be completed as part of the study include participatory mapping of fishing grounds, providing user guidance on spatial data tools like Marine Cadastre and the regional ocean portals, and providing regular updates to fishers regarding the spatial planning process and data needs in the Gulf of Maine. This effort must consider data confidentiality to ensure that fishing community information collected for this study are not misused. Such measures will be very important to instill confidence among fishers to accurately collect FEK.

Who can apply

  • State governments
  • Public and State controlled institutions of higher education
  • Nonprofits with 501(c)(3) status (other than higher education)
  • Others

Contact

Najma Shaikh <br/>najma.shaikh@bsee.gov
najma.shaikh@bsee.gov

Key dates & funding
  • PostedJun 10, 2024
  • ClosesAug 10, 2024
  • Award floor$350,000
  • Award ceiling$400,000
  • Program funding$400,000
  • CFDA15.423
Categories

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