Seabird visual surveys using line-transect methods collected from USFWS aircraft in the Gulf of Mexico for the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS) project from 2018-01-31 to 2020-02-12 (NCEI Accession 0247205)
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title: Seabird visual surveys using line-transect methods collected from USFWS aircraft in the Gulf of Mexico for the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS) project from 2018-01-31 to 2020-02-12 (NCEI Accession 0247205)
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abstract: As part of the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS), the U.S. Fish and Wildlife Service conducted low-level (61m above sea level) seabird aerial surveys of Gulf of Mexico coastal waters out to 50nm offshore from the USA-Mexico border to Key West, FL (including the Dry Tortugas) from 2018-01-31 to 2020-02-12. Using a double-observer protocol, three observers collected data along 3 parallel 10nm transects spaced 1nm apart for 30nm transect/sampling hexagon units. Over 3 years, four survey events were completed representing greater than 36,000km of effort. Aerial survey crews recorded 13,581 avifauna detections representing 71,698 individuals. Observers identified 23 marine bird species (n = 52 all bird species identified) in total. Non-avifauna observations (e.g., marine mammals, sea turtles) totaled 3,160 individuals representing 2063 detections.
purpose: Improved information is needed on living marine resource abundance, distribution, habitat use, and behavior in the Gulf of Mexico to properly mitigate and monitor for potential impacts of human activities, including offshore energy development. Understanding of cumulative impacts on protected species in the Gulf of Mexico from both natural and anthropogenic forcing is required to inform NEPA assessments, consultations and rulemaking related to Endangered Species Act (ESA), Marine Mammal Protection Act (MMPA), and Migratory Bird Treaty Act (MBTA), as well as other statutes that govern bureau activities. The results of this study will provide important information to inform both Bureau of Ocean Energy Management (BOEM) and Bureau of Safety and Environmental Enforcement (BSEE) regulatory needs, as well as other agencies and stakeholders involved in effective management and conservation of protected species in the northern Gulf of Mexico. This dataset includes seabird visual observation data (with corresponding latitude and longitude locations), survey design spatial files (hexagons and transects), and the aerial survey Data Management Plan. This dataset also includes opportunistic non-seabird sightings such as marine mammals and sea turtles.
credit: Related Funding Agency: US DOI; Bureau of Ocean Energy Management
credit: Related Funding Agency: US DOI; Fish and Wildlife Service
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keyword: Pelecanus erythrorhynchos
keyword: Pelecanus occidentalis
keyword: Phalacrocorax auritus
keyword: Physeter microcephalus
keyword: Platalea ajaja
keyword: Rhincodon typus
keyword: Rhyncops niger
keyword: Sphyrnidae sp
keyword: Sterna dougallii
keyword: Sternula antillarum
keyword: Sula dactylatra
keyword: Sula leucogaster
keyword: Thalasseus maximus
keyword: Trichechus manatus
keyword: Tursiops truncatus
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Anchor: https://gcmd.earthdata.nasa.gov/kms/concept/f3d76a99-1e2d-4acd-b6b2-c7185a20cfc7 Line Transect Sampling
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Anchor: https://gcmd.earthdata.nasa.gov/kms/concept/0982484f-4bb9-41dd-8841-931435cc138d VISUAL OBSERVATIONS > VISUAL OBSERVATIONS
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keyword: USFWS Quest Kodiak 100 Amphibious Aircraft
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Anchor: https://gcmd.earthdata.nasa.gov/kms/concept/a4202721-0cba-4fa1-853f-890f146b04f9 OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN
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Anchor: https://gcmd.earthdata.nasa.gov/kms/concept/75fab119-51a6-4b59-9711-f6c3cd3139db OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MEXICO
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description: Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 18. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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otherConstraints: Cite as: Wilson, Randy; Gleason, Jeff; Lyons, Jim; Silverman, Emily; Sussman, Allison; Zipkin, Elise; Davis, Kayla; Bureau of Ocean Energy Management (2022). Seabird visual surveys using line-transect methods collected from USFWS aircraft in the Gulf of Mexico for the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS) project from 2018-01-31 to 2020-02-12 (NCEI Accession 0247205). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/vyg0-tv44. Accessed [date].
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useLimitation: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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otherConstraints: Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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title: Cetacean, sea turtle, and seabird visual observations using line-transect survey methods from ships and aircraft during the Gulf of Mexico Marine Assessment Program for Protected Species (GOMMAPPS) surveys from 2017 to 2020
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title: EPA 40km Hexagons for Conterminous United States
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individualName: Denis White
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otherCitationDetails: White, D., and U.S. Environmental Protection Agency, 1992, EPA 40km Hexagons for Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9C56AY1.
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topicCategory: (MD_TopicCategoryCode) oceans
topicCategory: (MD_TopicCategoryCode) biota
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beginPosition: 2018-01-31
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supplementalInformation: Despite the importance of the Gulf of Mexico for marine species, there is limited information available to quantify species-use in the region. To bridge this gap, the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS), was developed as a federal partnership between the Bureau of Ocean Energy Management, the U.S. Fish and Wildlife Service, the U.S. Geological Survey, and the National Oceanic and Atmospheric Administration. Additionally, the seabird survey program worked in partnership with Michigan State University, Clemson University, and Terra Mar Applied Sciences LLC. For seabirds, a combination of ship-based and aerial surveys were employed (USFWS Quest Kodiak 100 Amphibious Aircraft). Low-level (61m above sea level) aerial surveys covering the coastal waters out to 50nm offshore were conducted from the USA-Mexico border to Key West, FL (including the Dry Tortugas) from February 2018 to February 2020. 180 40-km2 hexagonal survey units from the U.S. Environmental Protection Agency’s Environmental Monitoring and Assessment Program (US EPA EMAP; White 1992) were randomly selected by generalized random tessellation stratified sampling (GRTS). For each hexagon, a random flight direction was selected, thus defining two additional, adjacent hexagons and creating a three-hexagon sampling unit. Using a double-observer protocol, three observers collected data along 3 parallel 10nm transects spaced 1nm apart for 30nm of transects/sample unit. Observers surveyed the same sampling units (or a subset of these due to weather constraints) in each survey event (a survey event is a single survey season, e.g., winter 2018). Over 3 years (2018-2020) four survey events were completed; 600 hexagons were surveyed in total representing 1,800 transect segments and >36,000km of effort. Aerial survey crews recorded 13,581 avifauna detections representing 71,698 individuals. Observers identified 23 marine bird species (n = 52 all bird species identified) in total. Non-avifauna observations (e.g., marine mammals, sea turtles) totaled 3,160 individuals representing 2063 detections. Submission Package ID: ARYMDB
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Anchor: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
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fees: In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
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DateTime: 2022-04-20T21:27:21Z
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name: NCEI Accession 0247205 v1.1
description: published 2022-04-20T21:27:21Z
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description: Parameter or Variable: SPECIES IDENTIFICATION - COUNT (measured); Units: n/a; Observation Category: in situ; Sampling Instrument: biota surveys; Sampling and Analyzing Method: Using the U.S. EPA Environmental Monitoring & Assessment Program’s 40-square kilometer hexagon sampling grid (White 1992) and a generalized random tessellation stratified sampling technique, a random sample of 180 hexagons were selected to survey. Flight direction for each hexagon was also randomly selected, and included two additional, adjacent hexagons. Across each group of three hexagons, three parallel transects were established as the sampling unit. Two aircrafts (US Fish & Wildlife Service Quest Kodiak 100 Amphibious Aircrafts) were used to conduct aerial transect surveys from Brownsville, TX to Key West, FL out to 50 nautical miles from the shoreline. All surveys were conducted at an altitude of 61m and flown at approximately 110 knots. The surveys consisted of a double observer protocol with three observers collecting data in each aircraft: the pilot-biologist and two biologists who rotated their seat position daily. In-flight observers recorded all detections (species identification to the lowest taxonomic level and number of individuals counted) from the observable portion of the plane up to 200m out, on either side of the aircraft, for a 400m strip transect. Seabird species observed:; Data Quality Method: Observations and location information were collected simultaneously using onboard laptops installed with the Hodges RECORD program (Hodges, unpublished software) and the survey system installed in each aircraft to obtain GPS information. Each day, each observer downloaded two ASCII files from the on-board computers to a thumb drive. If the non-pilot observers rotated seats midday, they would download two files from each computer/seat they made observations from on that day. Using the Hodges TRANSCRIBE program (Hodges, unpublished software), observers then transcribed their recorded data nightly into two .txt files: observations and track. The Hodges TRANSCRIBE program automatically formatted the observation data, inputting the corresponding header information (e.g., observation date, survey hexagon and transect, latitude, longitude, species, count, etc.). The track file recorded the flight path of the plane. Observers then sent the two (or four if they rotated seats) .txt files (observations and tracks) to the GoMMAPPS seabird Data Specialist. Data files were checked for errors, imported into R Studio (R Core Team 2020), and QA/QC'd. Clean data were combined into one single .csv file for all aerial surveys within the study period and prepared for archive..
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maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
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code: line transect sampling
type: line transect sampling
description: perpendicular distances from a line A line is traversed by an observer and perpendicular distances are measured from the line to each detected object. Reference https://distancesampling.org/downloads/distancebook1993/index.html; Buckland, S.T., Anderson, D.R., Burnham, K.P. and Laake, J.L. 1993. Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, London. 446pp.
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code: visual estimate
type: visual estimate
description: not an instrument - maybe an observation type
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code: visual observation
type: visual observation
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