Addressing Spatiotemporal Data Gaps in Fish Abundance Modelling: Insights From Offshore Wind Impacts in the U.S. Mid‐Atlantic

Details

• Journal Title:
  Diversity and Distributions
• Personal Author:
  Sun, Ming ; Braid, Krystina ; Blaylock, Jessica ; Hennen, Daniel ; Truesdell, Samuel ; Chen, Yong
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)
• Description:
  Spatiotemporal data gaps in fishery-independent surveys—arising from offshore wind development, marine protected areas or spatially uneven sampling effort—pose challenges to the consistency and reliability of abundance indices that inform stock assessments. This study evaluates how survey preclusion affects the spatial and temporal behaviour of abundance indices, using offshore wind survey exclusion in key NOAA fisheries surveys in the Mid-Atlantic as a case study to assess impacts on temporal trends, deviations over space and uncertainty for four iconic stocks.
• Source:
  Diversity and Distributions, 32(2)
• DOI:
  https://doi.org/10.1111/ddi.70156
• ISSN:
  1366-9516 ; 1472-4642
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:a14d51dceda68677e6ae2d486a08538cb615454419260f4ca309764fb0d699fcfd35afda97ab6dcb24b6084b5866a8852d44d5bf5e7bf1eb62bae097137438c1
• Download URL:
  https://repository.library.noaa.gov/view/noaa/72699/noaa_72699_DS1.pdf
• File Type:
  [PDF - 2.95 MB ]