Contributors | Affiliation | Role |
---|---|---|
Cokelet, Edward D. | National Oceanic and Atmospheric Administration (NOAA-PMEL) | Principal Investigator |
Coyle, Kenneth O. | University of Alaska Fairbanks (UAF) | Co-Principal Investigator |
Danielson, Seth L. | University of Alaska Fairbanks (UAF) | Co-Principal Investigator |
Farley, Edward V. | National Oceanic and Atmospheric Administration (NOAA) | Co-Principal Investigator |
Copley, Nancy | BCO-DMO Data Manager |
Gulf of Alaska Bongo catch data
Zooplankton counts for bongo net hauls in the Gulf of Alaska during 2004.
Marine Ecosystem Monitoring in the Northern Gulf of Alaska web site
GAK1 Time Series web site
This project is to conduct the Gulf of Alaska Long-Term Observation Program (GOA-LTOP) as part of Phase II of the Northeast Pacific (NEP) GLOBEC program. The GOA shelf supports a rich ecosystem that includes many commercially important fisheries. The basis for this productivity is enigmatic for the GOA shelf is deep, forced by downwelling-favorable winds, and fed by a massive nutrient-poor coastal freshwater discharge. Both the winds and the freshwater discharge are intimately linked to the strength and position of the Aleutian Low. The GOA ecosystem experiences substantial physical and biological changes on decadal and interannual time scales. Although some of these changes are correlated with various climatic indices a mechanistic understanding of climate change and ecosystem response is unavailable. The generic goal of this LTOP is to understand and quantify temporal (seasonal and interannual) and spatial (cross- and along-shelf) variations in the thermohaline, chemical, and biological properties and relationships of this shelf. Our proposal supports GLOBEC goals that will help: 1) retrospective studies interpret historical data, 2) design a cost-effective long-term monitoring program, 3) provide the seasonal and interannual context for concurrent mesoscale and process studies, and 4) provide boundary conditions and data sets for model evaluation. This 5-year project entails 4 field years and a fifth year for data analyses and synthesis. The field effort involves seven, 9-day interdisciplinary cruises/year in the northern GOA. The study area encompasses the 220-km long, Seward Line (sampled in the 1970s) that extends across the shelf and slope and high resolution sampling of the Alaska Coastal Current (ACC), upstream, downstream, and within Prince William Sound. The ACC is an important shelf habitat for yoy salmon migrating from nursery areas in the sound and into the GOA. The sampling effort (Table A) is year-round and motivated by seasonally significant physical and biological events affecting yoy pink salmon.
Table A. Sampling schedule and rationale for GOA-LTOP. (Key for Winds, Discharge and Stratification: S=strong; M=moderate; W=weak; D=downwelling winds; U=upwelling winds; V=variable; L=low; H=high) Deep water moves onshore during the July-August upwelling period.
Month | Sampling | Physical Rationale | Biological Rationale | |||||
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CTD | Nutrients | Zoo | Fish | Winds | Disch | Strat | ||
March | X | X | X | D S | L | W | Zooplankton migrate from depth (at shelfbreak); transported inshore. | |
April | X | X | X | D M | L-M | W V | Phytoplankton bloom | |
May | X | X | X | D M-W | M | M V | Maximum oceanic copepod biomass. | |
July | X | X | X | X | D/U W | M-H | S | Maximum zooplankton abundance; YOY salmon enter shelf. |
August | X | X | X | X | D/U W | M-H | S | Maximum YOY salmon abundance on shelf. |
October | X | X | X | X | D S | H | H | YOY salmon on shelf. |
December | X | X | X | D S | M | M | Fall-winter pre-conditioning for spring nutrients, small zooplankton. |
The sampling protocol follows GLOBEC guidelines and uses gear types and techniques similar to those in the Oregon LTOP that is also a part of the NEP-GLOBEC program. Most of the research will be conducted from the R/V Alpha Helix. Fish sampling will be done from a chartered trawler in July, August, and October. Both vessels will work together during these cruises so that the fishing charter can verify fish targets detected on the acoustics array towed from the Alpha Helix.
This page was last updated on September 22, 2000.
Maintained by:
Hal Batchelder [hbatchelder@coas.oregonstate.edu
College of Oceanic & Atmospheric Sciences
Oregon State University
Corvallis, OR 97331-5503
phone: 541-737-4500; FAX 541-737-2064
The OCC/GLOBEC survey occurred along the coastal waters of the Gulf of Alaska and in Shelikof Strait, AK during 2001-2004. Transects sampled during the survey were perpendicular to shore and extended from nearshore across the continental shelf to oceanic waters beyond the 200-m shelf break. The survey was conducted aboard the contract fishing vessel F/V Great Pacific during 2001-2002 and 2004, and aboard NOAA Ship Miller Freeman during 2003.
Fish samples were collected in a 198-m long mid-water rope trawl with hexagonal mesh wings and body, and a 1.2-cm mesh liner in the codend. The rope trawl was towed at 6.5 to 9.3 km • hour-1, at or near surface, and had a typical spread of 40-m horizontally and 15-m vertically. All tows lasted 30 minutes and covered 2.8 to 4.6 km, and sampling was done during daylight hours; however, tows occurred during night as part of a 24-hour repeat sampling of a single station for one day during 2001 and 2003.
Once the net was hauled aboard, salmon and other fishes were sorted by species and counted. Standard biological measurements including fork length, body weight, and sex were taken from sub-samples of all salmon species. Sub-samples of juvenile pink (Oncorhynchus gorbuscha), chum (O. keta), and sockeye (O. nerka) salmon were frozen whole for laboratory analyses of food habits, otolith hatchery thermal marks (pink and chum salmon), and genetic analysis (chum salmon).
Plankton samples were collected using a 1-m2 Tucker trawl fitted with a 505-um mesh net that was towed near surface (approximately 1 knot) for 5 minutes (2001-2003 surveys). During 2004, plankton samples were collected using a WP-2 net fitted with a 253-um mesh net that was deployed vertically to a depth of 100-m depth. The volume of water filtered by the net was estimated using flow meters. Plankton samples were transferred into vials, preserved in 5% formalin onboard the ship, and stored until a laboratory analysis was completed.
File |
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bongo_catch.csv (Comma Separated Values (.csv), 215.69 KB) MD5:439cf88a7a3e0d5080721914c60fbbf5 Primary data file for dataset ID 3012 |
Parameter | Description | Units |
haul_id | Tow number/identification. | N/A |
station | Station identification. | N/A |
yrday_local | Local day and decimal time, as 326.5 for the 326th day of the year, or November 22 at 1200 hours (noon). | N/A |
year | Four-digit year, e.g. 2001. | N/A |
month_local | Month of year, local time. (01 - 12) | N/A |
day_local | Day, local time. (01-31) | N/A |
lat_start | latitude at starting time of measurement (west is negative) | decimal degrees |
time_local_start | Starting time of observation, local time, 24 hour clock (HHMM). | N/A |
lon_start | longitude at starting time of measurement (west is negative) | decimal degrees |
lat_end | latitude at end time of measurement (south in negative) | decimal degrees |
lon_end | longitude at end time of measurement (west is negative) | decimal degrees |
depth | maximum depth of tow | meters |
mesh_size | net mesh size | microns |
vol_settled | volume of settled plankton sample | milliliters |
disp_vol | Displacement volume (biovolume) of plankton net samples. | milliliters |
taxon | Taxonomic group or entity. This may be a family, class, genus, species, etc.; usually this parameter will contain a mixture of taxonomic entities. | N/A |
count_aliq | Number of individuals found in fraction of sample examined. | N/A |
aliquot | Denominator of split fraction. e.g. for 1/2 split, samp_fraction_denom is 2; but for 3/4, it is 1.333 (4/3). | N/A |
count_total | Number of individuals counted in sample. | N/A |
sex | Classification by sex (M = male, F = female). | N/A |
comments_catch | Free text comments pertaining to sample contents. | N/A |
comments_tow | Free text comments pertaining to sampling process. | N/A |
cruiseid | Cruise identifier | unitless |
Dataset-specific Instrument Name | Bongo Nets |
Generic Instrument Name | Bongo Net |
Dataset-specific Description | Bongo nets with mesh sizes of 335 and 505 microns. |
Generic Instrument Description | A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete "known-depth" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear |
Website | |
Platform | F/V Great Pacific |
Report | |
Start Date | 2004-10-17 |
End Date | 2004-10-28 |
Description | 23 May 2011, dld - This cruise consisted of Leg 1 and Leg 2. Metadata is edited to reflect this information gleaned from the event log and the cruise report.
Leg 1 departed Dutch Harbor. The Leg ended in Kodiak. Chief Scientist was Jamal H. Moss.
Leg 2 departed Kodiak and arrived in Dutch Harbor. Chief Scientist was Edward D. Cokelet. |
Website | |
Platform | F/V Great Pacific |
Report | |
Start Date | 2004-11-01 |
End Date | 2004-11-12 |
Description | 23 May 2011, dld - This cruise consisted of Leg 1 and Leg 2. Metadata is edited to reflect this information gleaned from the event log and the cruise report.
Leg 1 departed Dutch Harbor. The Leg ended in Kodiak. Chief Scientist was Jamal H. Moss.
Leg 2 departed Kodiak and arrived in Dutch Harbor. Chief Scientist was Edward D. Cokelet. |
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) |