Contributors | Affiliation | Role |
---|---|---|
Ainley, David G. | H.T. Harvey & Associates | Principal Investigator |
Tynan, Cynthia | Northwest Fisheries Science Center - Seattle (NOAA NWFSC) | Co-Principal Investigator |
Allison, Dicky | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
GLOBEC NEP Northern California Current Bird Metadata
R/V New Horizon cruises NH0005 and 0007
These data provide background environmental data in support of the bird data.
Caution: Wind speed and direction may not be corrected for ship motion.
Any questions about the data, please contact the PIs:
David G. Ainley: dainley@penguinscience.com
Cyndy Tynan: ctynan@whoi.edu
Updated Sept 13, 2005; gfh
Seabird surveys were conducted continuously during daylight, using a 300-m-wide transect strip. Within that strip, birds were counted that occurred within the 90 degree quadrant off the ship's bow that offered the best observation conditions.
Observed counts of seabirds recorded as flying in a steady direction were adjusted for the effect of flight speed and direction relative to that of the ship (Spear et al., 1992; Spear and Ainley, 1997b). The effect of such flux is the most serious bias encountered during seabird surveys at sea (Spear et al., 2005). Known as random directional movement (as opposed to nonrandom directional movement, which occurs when birds are attracted or repelled from the survey vessel), this problem usually results in density overestimation because most species fly faster than survey vessels; densities of birds that fly slower or at a similar speed as the survey vessel (e.g., storm-petrels), or are flying in the same direction, are usually underestimated (Spear et al., 1992)
File |
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metabirds.csv (Comma Separated Values (.csv), 43.99 KB) MD5:1307c07ba87aa559dd3378378b32ad19 Primary data file for dataset ID 2338 |
Parameter | Description | Units |
trans_no | Transect number, combination of year day and transect number for that day. | dimensionless |
lat | Latitude at beginning of the transect, negative = South. | decimal degrees |
lon | Longitude at beginning of the transect, negative = West. | decimal degrees |
time_local | Time at the beginning of the transect, local time. | hours & minutes |
trans_len_min | Time the transect lasted | minutes |
sog | Ship speed over the ground | knots/hour |
area | Ocean area surveyed in that transect | kilometers<sup>2</sup> |
head_c | Ship course given as compass direction to the nearest 10 degrees, | degrees |
wdir | Wind direction to nearest 10 degrees, divided by 10. | degrees |
wspd | Wind speed | knots |
trans_id | Identification number for transect. | dimensionless |
year | Year in YYYY format | unitless |
Dataset-specific Instrument Name | Binoculars, Handheld |
Generic Instrument Name | Binoculars Handheld |
Generic Instrument Description | Handheld binoculars, generally used for bird or mammal observations. |
Website | |
Platform | R/V New Horizon |
Report | |
Start Date | 2000-05-28 |
End Date | 2000-06-13 |
Description | Methods & Sampling Seabird surveys were conducted continuously during daylight, using a 300-m-wide transect strip. Within that strip, birds were counted that occurred within the 90 degree quadrant off the ship's bow that offered the best observation conditions. Processing Description Observed counts of seabirds recorded as flying in a steady direction were adjusted for the effect of flight speed and direction relative to that of the ship (Spear et al., 1992; Spear and Ainley, 1997b). The effect of such flux is the most serious bias encountered during seabird surveys at sea (Spear et al., 2005). Known as random directional movement (as opposed to nonrandom directional movement, which occurs when birds are attracted or repelled from the survey vessel), this problem usually results in density overestimation because most species fly faster than survey vessels; densities of birds that fly slower or at a similar speed as the survey vessel (e.g., storm-petrels), or are flying in the same direction, are usually underestimated (Spear et al., 1992) |
Website | |
Platform | R/V New Horizon |
Report | |
Start Date | 2000-07-27 |
End Date | 2000-08-12 |
Description | Methods & Sampling Seabird surveys were conducted continuously during daylight, using a 300-m-wide transect strip. Within that strip, birds were counted that occurred within the 90 degree quadrant off the ship's bow that offered the best observation conditions. Processing Description Observed counts of seabirds recorded as flying in a steady direction were adjusted for the effect of flight speed and direction relative to that of the ship (Spear et al., 1992; Spear and Ainley, 1997b). The effect of such flux is the most serious bias encountered during seabird surveys at sea (Spear et al., 2005). Known as random directional movement (as opposed to nonrandom directional movement, which occurs when birds are attracted or repelled from the survey vessel), this problem usually results in density overestimation because most species fly faster than survey vessels; densities of birds that fly slower or at a similar speed as the survey vessel (e.g., storm-petrels), or are flying in the same direction, are usually underestimated (Spear et al., 1992) |
Program in a Nutshell
Goal: To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.
U.S. GLOBEC (GLOBal ocean ECosystems dynamics) is a research program organized by oceanographers and fisheries scientists to address the question of how global climate change may affect the abundance and production of animals in the sea.
The U.S. GLOBEC Program currently had major research efforts underway in the Georges Bank / Northwest Atlantic Region, and the Northeast Pacific (with components in the California Current and in the Coastal Gulf of Alaska). U.S. GLOBEC was a major contributor to International GLOBEC efforts in the Southern Ocean and Western Antarctic Peninsula (WAP).
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
National Oceanic and Atmospheric Administration (NOAA) |