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 Data
R/V New Horizon cruises NH0005 and 0007
NOTES:
(1) Please see companion file named 'metabirds', which is supporting data for Bird Observations.
(2) The following documentation is extracted from:
David G. Ainley, Larry B. Spear, Cynthia T. Tynan, John A. Barth, Stephen D. Pierce, R. Glenn Ford and Timothy J. Cowles, 2005. Physical and biological variables affecting seabird distributions during the upwelling season of the northern California Current. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 52, Issues 1-2, January 2005, Pages 123-143
As a part of the GLOBEC-Northeast Pacific project, we investigated variation in the abundance of marine birds in the context of biological and physical habitat conditions in the northern portion of the California Current System (CCS) during cruises during the upwelling season 2000. Continuous surveys of seabirds were conducted simultaneously in June (onset of upwelling) and August (mature phase of upwelling).
(3) Caution. Wind speed and direction may not be corrected for ship motion.
(4) Additional documentation, in the form of references, was provided by Dr. Ainley.
L.B. Spear, N. Nur & D.G. Ainley. 1992. Estimating absolute densities of flying seabirds using analyses of relative movement. Auk 109:385-389.
L.B. Spear & D.G. Ainley. 1997. Flight behaviour of seabirds in relation to wind direction and wing morphology. Ibis 139: 221-233.
L.B. Spear & D.G. Ainley. 1997. Flight speed of seabirds in relation to wind speed and direction. Ibis 139: 234-251.
L.B. Spear, D.G. Ainley, B.D. Hardesty, S.N.G. Howell & S.G. Webb. 2004. Reducing biases affecting at-sea surveys of seabirds: use of multiple observer teams. Marine Ornithology 32: 147-157.
Code | Description |
---|---|
AKCA | Cassin's Auklet |
AKPA | Parakeet Auklet |
AKRH | Rhinoceros Auklet |
ALBF | Black-footed Albatross |
ALLA | Laysan Albatross |
COBR | Brandt's Cormorant |
COPE | Pelagic Cormorant |
FUNO | Northern Fulmar |
GUCA | California Gull |
GUGW | Glaucous-winged Gull |
GUHR | Heermann's Gull |
GUPI | Pigeon Guillemot |
GURB | Ring-bill Gull |
GUSA | Sabine's Gull |
GUWE | Western Gull |
JALT | Long-tailed Jaeger |
JAPA | Parasitic Jaeger |
JAPO | Pomarine Jaeger |
LOAR | Pacific Loon |
LOCO | Common Loon |
MUCO | Common Murre |
MUMA | Marbled Murrelet |
MUXA | Xantus' Murrelet |
PELB | Brown Pelican |
PHNO | Red-necked Phalarope |
PHRE | Red Phalarope |
SHFF | Flesh-footed Shearwater |
SHPF | Pink-footed Shearwater |
SHSO | Sooty Shearwater |
SKMA | South Polar Skua |
STFT | Fork-tailed Storm-Petrel |
STLE | Leach's Storm-Petrel |
TEAR | Arctic Tern |
Code | Description |
---|---|
1 | Flying directionally |
2 | Sitting on water |
3 | Feeding |
Any questions about the data, please contact the PIs:
David G. Ainley: dainley@penguinscience.com
Cyndy Tynan: ctynan@whoi.edu
updated Sept 08. 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 |
---|
birds.csv (Comma Separated Values (.csv), 332.65 KB) MD5:868efb7097222923d633c28fca364eb8 Primary data file for dataset ID 2337 |
Parameter | Description | Units |
yrday_local | Yearday based on Julian calendar, local time. | dimensionless |
month_local | Month of year, local time (01-12). | dimensionless |
day_local | Day of month, local time (01-31). | dimensionless |
trans_id | Identification number for transect, | dimensionless |
trans_no | Transect number, year day and transect number for that day. | dimensionless |
species | Species code. (see above) | dimensionless |
number | Unadjusted number of birds recorded. | integer (count) |
number_adj | Number of birds recorded after adjustment for the | dimensionless |
lat | Latitude at beginning of the transect, negative = South | decimal degrees |
lon | Longitude at beginning of the transect, negative = West | decimal degrees |
head_c | Ship course given as compass direction to the nearest 10 degrees, | degrees |
area | Ocean area surveyed in that transect. | kilometers<sup>2</sup> |
wspd | Wind speed. | knots |
flight_dir | Flight direction to nearest 10 degrees, divided by 10. | degrees |
behav_code | Bird behavior (see below for explanation of code). | dimensionless |
year | Four-digit year. | dimensionless |
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 |
---|---|
NSF Division of Ocean Sciences (NSF OCE) | |
National Oceanic and Atmospheric Administration (NOAA) |