← NOAA Fisheries Federal Register rules

Takes of Marine Mammals Incidental to Specified Activities; Taking Marine Mammals Incidental to the Empire Wind Project, Offshore New York

other · Published 2024-02-14 · Effective 2024-02-22 · 89 FR 11342

Document

Document number
2024-01363
Federal Register citation
89 FR 11342
Type
Rule
Action
Final rule; notification of issuance of letter of authorization.
Category
other
Publication date
2024-02-14
Effective date
2024-02-22
NOAA docket
Docket No. 240118-0017

Abstract

In accordance with the regulations implementing the Marine Mammal Protection Act (MMPA), as amended, notification is hereby given that NMFS promulgates regulations to govern the incidental taking of marine mammals incidental to Empire Offshore Wind, LLC (Empire Wind), a 50-50 partnership between Equinor, ASA (Equinor) and BP p.l.c., during the construction of an offshore wind energy project (the Project) in Federal and State waters off of New York, specifically within the Bureau of Ocean Energy Management (BOEM) Commercial Lease of Submerged Lands for Renewable Energy Development on the Outer Continental Shelf (OCS) Lease Area (OCS-A-512) (referred to as the Lease Area) and along two export cable routes to sea-to-shore transition points (collectively, the Project Area), over the course of 5 years (February 22, 2024, through February 21, 2029). These regulations, which allow for the issuance of a Letter of Authorization (LOA) for the incidental take of marine mammals during specific construction related activities within the Project Area during the effective dates of the regulations, prescribe the permissible methods of taking and other means of effecting the least practicable adverse impact on marine mammal species or stocks and their habitat, as well as requirements pertaining to the monitoring and reporting of such taking. Upon publication of this final rule and within 30 days, NMFS will issue a LOA to Empire Wind for the effective period of the final rule.

Source

Authoritative
Federal Register document
Machine
JSON-LD · Markdown