Modeling at-sea density of marine birds to support renewable energy planning on the Pacific Outer Continental Shelf of the contiguous United States

Leirness, J.B.; Adams, J.; Ballance, L.T.; Coyne, M.; Felis, J.J.; Joyce, T.; Pereksta, D.M.; Winship, A.J.; Jeffrey, C.F.G.; Ainley, D.; Croll, D.; Evenson, J.; Jahncke, J.; McIver, W.; Miller, P.I.; Pearson, S.; Strong, C.; Sydeman, W.; Waddell, J.E.; Zamon, J.E.; Christensen, J.

i

Modeling at-sea density of marine birds to support renewable energy planning on the Pacific Outer Continental Shelf of the contiguous United States

2021
By Leirness, J.B. ; Adams, J. ; Ballance, L.T. ; ...
Series: OCS Study BOEM 2021-014

Select the Download button to view the document

Please click the download button to view the document.

Details

Personal Author:

Leirness, J.B. ; Adams, J. ; Ballance, L.T. ; Coyne, M. ; Felis, J.J. ; Joyce, T. ; Pereksta, D.M. ; Winship, A.J. ; Jeffrey, C.F.G. ; Ainley, D. ; Croll, D. ; Evenson, J. ; Jahncke, J. ; McIver, W. ; Miller, P.I. ; Pearson, S. ; Strong, C. ; Sydeman, W. ; Waddell, J.E. ; Zamon, J.E. ; Christensen, J.
Corporate Authors:

United States. Bureau of Ocean Energy Management . ; Geological Survey (U.S.) ; National Centers for Coastal Ocean Science (U.S.)
NOAA Program & Office:

NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science) ; ONMS (Office of National Marine Sanctuaries) ; NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; SWFSC (Southwest Fisheries Science Center)
Description:

This report describes the at-sea spatial distributions of marine birds in Pacific OCS waters off the contiguous U.S. (Figure 1.1) to inform marine spatial planning in the region. The goal was to estimate long-term average spatial distributions for marine bird species using all available science-quality transect survey data and numerous bathymetric, oceanographic, and atmospheric predictor variables. We developed seasonal habitat-based spatial models of the at-sea distribution for 33 individual species and 13 taxonomic groups of marine birds throughout the study region. A statistical modeling framework was used to estimate numerical relationships between bird sighting data (i.e., standardized counts) and a range of temporal (e.g., Pacific Decadal Oscillation [PDO] index), spatially static (e.g., depth), and spatially dynamic (e.g., sea surface chlorophyll-a concentration) environmental variables. The estimated relationships were then used to predict spatially explicit long-term average density (individuals per km2) throughout the study area for each species/group in each of four seasons. Bird sighting data came from multiple scientific survey programs and consisted of at-sea counts of birds collected between 1980 and 2017 using boat-based and fixed-wing aerial transect survey methods. Spatial environmental variables were derived from remote sensing satellite data and an ocean dynamics model.
Keywords:

Effect Of Habitat Modification On Mathematical Models Offshore Structures Renewable Energy Sources Sea Birds Zoogeography Effect Of Habitat Modification On Mathematical Models Offshore Structures Renewable Energy Sources Sea Birds
Series:

OCS Study BOEM 2021-014
Format:

PDF
Document Type:

Miscellaneous
Funding:

Contract no. EA133C14NC1384 ; Contract no. EA133C14BA0062
Place as Subject:

North Pacific Ocean ; United States
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:d6787143c62d99736e670758de74671276166cb9938bb922cb48ef93aced745d99a6e145ade65f2d01791dcd64e09493c7f62893de08585e821df22a3dcd9d56
Download URL:

https://repository.library.noaa.gov/view/noaa/49073/noaa_49073_DS1.pdf
File Type:

[PDF - 135.31 MB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.