Genetic Stock Composition of the Commercial Harvest of Chinook Salmon in Copper River District, 2013-2017 PDF Download
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Author: Sara Ellen Gilk Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 50
Book Description
Chinook salmon are harvested in subsistence, commercial, sport, and personal use fisheries throughout the Copper River drainage and in nearshore marine waters. This project was designed to estimate the stock-specific harvest of Chinook salmon in the Copper River District commercial drift gillnet fishery using genetics samples from 2013 through 2017. The Chinook Salmon Research Initiative identified the Copper River as 1 of 12 indicator stocks representing the diverse life history and migratory characteristics of Alaska Chinook salmon. Adult abundance information was identified as a fundamental knowledge gap, including the absence of programs to estimate stock-specific harvest in mixed stock commercial fisheries. This project applied the available baseline of genetic information representing Chinook salmon populations from within the Copper River drainage, around the Gulf of Alaska, and from southern populations to estimate the relative stock compositions of Chinook salmon harvests in the Copper River District commercial fishery. The results show that most of the fish in the Copper River commercial fishery originated from Copper River populations, which is consistent with findings from previous studies. A consistent temporal pattern in the composition of the commercial fishery harvests was observed across the 5-year study. As the season progressed, the proportion of Upper Copper River Chinook salmon decreased, and the proportion of Lower Copper River Chinook salmon increased. The unusually high proportions of nonlocal Chinook salmon in the commercial harvest occurring during 2 of the study years (2014 and 2015) align with other reports of large numbers of out-of-area Chinook salmon in commercial fisheries throughout the southern and southeastern seaboards of Alaska. The results support the historical commercial management approach of providing inriver passage for all temporal components of the run. Genetic data allow for estimating the stock-specific harvests of wild stocks or stocks (with and without coded wire tags) from other areas.
Author: Sara Ellen Gilk Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 50
Book Description
Chinook salmon are harvested in subsistence, commercial, sport, and personal use fisheries throughout the Copper River drainage and in nearshore marine waters. This project was designed to estimate the stock-specific harvest of Chinook salmon in the Copper River District commercial drift gillnet fishery using genetics samples from 2013 through 2017. The Chinook Salmon Research Initiative identified the Copper River as 1 of 12 indicator stocks representing the diverse life history and migratory characteristics of Alaska Chinook salmon. Adult abundance information was identified as a fundamental knowledge gap, including the absence of programs to estimate stock-specific harvest in mixed stock commercial fisheries. This project applied the available baseline of genetic information representing Chinook salmon populations from within the Copper River drainage, around the Gulf of Alaska, and from southern populations to estimate the relative stock compositions of Chinook salmon harvests in the Copper River District commercial fishery. The results show that most of the fish in the Copper River commercial fishery originated from Copper River populations, which is consistent with findings from previous studies. A consistent temporal pattern in the composition of the commercial fishery harvests was observed across the 5-year study. As the season progressed, the proportion of Upper Copper River Chinook salmon decreased, and the proportion of Lower Copper River Chinook salmon increased. The unusually high proportions of nonlocal Chinook salmon in the commercial harvest occurring during 2 of the study years (2014 and 2015) align with other reports of large numbers of out-of-area Chinook salmon in commercial fisheries throughout the southern and southeastern seaboards of Alaska. The results support the historical commercial management approach of providing inriver passage for all temporal components of the run. Genetic data allow for estimating the stock-specific harvests of wild stocks or stocks (with and without coded wire tags) from other areas.
Author: William D. Templin Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 39
Book Description
This report describes the preparation of a comprehensive genetic baseline representing Chinook salmon populations across the Gulf of Alaska and south to California, and the use of this baseline to estimate the relative stock composition of Chinook salmon harvests in the Copper River District commercial fishery from 2005 to 2008.
Author: Sean D. Larson Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 30
Book Description
Understanding the age, sex, length, and stock of origin of Chinook salmon Oncorhynchus tshawytscha, caught in subsistence fisheries of the Yukon River is important for making well informed management decisions and forecasting salmon runs. The objective of this study was to collect representative genetic mixed stock analysis information, coupled with age, sex, and length data, from the Chinook salmon subsistence harvest in the Coastal District and Districts 1–5. A total of 43 subsistence fishermen from 13 communities sampled 1,573 Chinook salmon that were harvested using gillnets, fish wheels, and dip nets. The age, sex, and length composition of the harvest was 0.3% age-3, 16.9% age-4, 47.1% age-5, 33.9% age-6, 1.8% age-7, 32.5% female, and an average of 725 mm in length. The proportion of the catch that was Canadian-origin ranged from 0.38 in District 2 to 0.72 in District 5. The data generated from this project are essential to estimate total run size of Yukon River Chinook salmon stocks, evaluate boarder passage and harvest share agreements as defined in the Pacific Salmon Treaty, and update spawner-recruit models used to estimate past and future run productivity. Due to the variability in Chinook salmon runs, management actions, and harvest, annual monitoring of the subsistence Chinook salmon harvest is needed.
Author: Tony Eskelin Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 40
Book Description
Chinook salmon were sampled for genetic tissue and age, sex, and length (ASL) composition from the Upper Cook Inlet Eastside set gillnet (ESSN) commercial fishery in 2015. Mixed stock analysis (MSA) was conducted on tissue samples that were collected to represent the harvest by date and area. The 4 reporting groups used to apportion the Chinook salmon harvest were Kenai River mainstem, Kenai River tributaries, Kasilof River mainstem, and Cook Inlet other. In 2015, the total reported harvest was 7,781 Chinook salmon, with an estimated composition of 5,988 (77%) Kenai River mainstem, 1,564 (20.1%) Kasilof River mainstem, 211 (2.7%) Cook Inlet other, and 19 (0.2%) Kenai River tributaries stocks. Kenai River mainstem fish have composed on average 69.1% of the harvest since 2010. Nearly all the remainder of the harvest was composed of Kasilof River mainstem fish. The overall age composition of the sample was 14.2% age-1.1 fish, 37.4% age-1.2 fish, 24.3% age-1.3 fish, 23.8% age-1.4 fish, and 0.3% age-1.5 fish. The sex composition was 69% males and 31% females. Average mid eye to tail fork (METF) length of the sample was 742 mm.
Author: Nicholas A. Decovich Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 42
Book Description
Discusses significant genetic variation among populations of Chinook salmon within the Yukon River drainage, which has been used to provide estimates of stock composition of fishery harvests since the early 1990s.
Author: Andrew W. Barclay Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 90
Book Description
This report describes an updated genetic baseline for Upper Cook Inlet Chinook salmon that allows for the identification of more stocks in mixed stock fisheries than previously possible. Chinook salmon are harvested in commercial, sport, subsistence, and personal use fisheries in Upper Cook Inlet, Alaska. Harvests often occur in areas where stocks intermingle, highlighting the need for understanding stock of origin in fishery catches to improve fishery management. Mixed stock analysis (MSA) has been used to estimate the stock composition of harvests in Cook Inlet since 2013. However, MSA applications have been limited by inadequate genetic structure, making northern Cook Inlet stocks of management and fishery importance difficult to distinguish: west Cook Inlet, Yentna River, and western Susitna stocks were indistinguishable; and eastern Susitna River and Matanuska River stocks were indistinguishable. Here we use cutting-edge genotyping by sequencing techniques to produce a baseline containing 67 Chinook salmon populations and 413 genetic markers and examine the baseline for population structure and test for potential reporting groups (stocks) using new baseline evaluation methods. Tests of potential reporting groups revealed 10 groups with adequate genetic divergence to meet the criteria for reporting groups. The 10 groups identified were (1) West, (2) Susitna, (3) Deshka, (4) Yentna, (5) Knik-Turnagain, (6) Kenai Mainstem, (7) Kenai Tributary, (8) Kasilof Mainstem, (9) Kasilof Tributary, and (10) South Kenai Pen. The data presented in this report will allow for more accurate, precise and finer-scale reporting group estimates for MSA studies in Cook Inlet and improved fisheries management.
Author: Nicholas A. Decovich Publisher: ISBN: Category : Chinook salmon Languages : en Pages : 33
Book Description
Discusses significant genetic variation among populations of Chinook salmon (Oncorhynchus tshawytscha) within the Yukon River drainage, which has been used to provide estimates of the composition of mixed stock fishery harvests since the early 1990s.
Author: Andrew W. Barclay Publisher: ISBN: Category : Fish stock identification Languages : en Pages : 62
Book Description
Mixed stock analysis based on genetic data has been used to estimate the stock compositions of sockeye salmon Oncorhynchus nerka harvested in commercial fisheries in Upper Cook Inlet (UCI), Alaska, since 2005. Here we report the genetic mixed stock analysis samples representing 99% of the 2012 and 2013 UCI commercial fishery harvests. Postseason analyses were performed using a previously reported baseline of 69 populations and 96 single nucleotide polymorphic markers, with the addition of 2 populations in the West reporting group (Harriet Creek and Packers Lake late run). Stock composition patterns in the commercial fishery were similar to previous years: eastern fisheries generally captured more Kenai and Kasilof rivers fish than western and northern fisheries; and gillnet fisheries closer to the Kenai or Kasilof river mouths harvested larger proportions of fish from those rivers. In 2012, however, the majority of Kasilof fish were harvested in the drift gillnet fisheries due to restrictions on the set gillnet fishery. Most stocks contributed similar proportions to the overall harvest in the UCI fishery compared to previously reported years, but Fish and Kasilof stocks were 38-86% below average and Susitna/Yentna River stocks were 19-77% above average. In 2013, 2 additional drift gillnet samples were analyzed to compare harvests in the Kenai and Kasilof expanded corridor (July 11) with the districtwide harvest (July 8). Kenai and Kasilof estimates were higher in the corridor sample than the districtwide sample, whereas estimates for the remaining reporting groups were generally lower, but these differences were not significant and could be attributed to the difference in sampling date. Estimates of stock-specific harvests for UCI commercial fisheries in 2012 and 2013 build upon previous years in refining understanding of productivity and the effect of management actions on the stock composition of commercial sockeye salmon harvests.
Author: Jeffrey Robert Guyon Publisher: ISBN: Category : Bycatch excluder devices Languages : en Pages : 19
Book Description
A genetic analysis of samples from the Chinook salmon (Oncorhynchus t shawytscha) bycatch of the 2013 Gulf of Alaska (GOA) trawl fisheries for Pacific rockfish (Sebastes spp.) and arrowtooth (Atheresthes stomias) flounder was undertaken to determine the stock composition of the sample sets. Samples were genotyped for 43 single nucleotide polymorphism (SNP) DNA markers and results were estimated using the Alaska Department of Fish and Game (ADF&G) SNP baseline. In 2013, genetic samples from the bycatch of the GOA rockfish fishery were collected by the fishing industry using a census sampling protocol where every Chinook salmon encountered was sampled. Based on the analysis of 2,029 Chinook salmon bycatch samples collected throughout the 2013 GOA rockfish trawl fishery, West Coast U.S. stocks (WA/OR/CA) represented the larges t stock grouping (60%) with smaller contributions from British Columbia (31%), Coastal Southeast Alaska (6%), and Northwest GOA (2%) stocks. Genetic samples were also collected from Chinook salmon taken in the bycatch of the 2013 GOA arrowtooth flounder tr awl fisheries. Those samples were collected opportunistically from a single vessel; consequently, the resulting stock composition estimates should be considered as stock compositions of the sample set rather than a representative composition of the overall bycatch. Based on the analysis of 279 Chinook salmon bycatch samples, West Coast U.S. (43%), British Columbia (39%), Coastal Southeast Alaska 14%), and Northwest GOA (3%) stocks comprised the largest stock groups. We also produced a stock composition estimate of Chinook salmon from a single test haul of the salmon excluder device performed in April 2013 in an area near Kodiak Island in Shelikof Strait. Stock composition results showed that the majority of those 95 Chinook salmon originated from West Coast U.S. (79%), British Columbia (17%), and Coastal Southeast Alaska (3%) stocks.
Author: Sara Ellen Gilk
Author: Sara Ellen Gilk
Author: William D. Templin
Author: 
Author: Sean D. Larson
Author: Tony Eskelin
Author: Nicholas A. Decovich
Author: Andrew W. Barclay
Author: Nicholas A. Decovich
Author: Andrew W. Barclay
Author: Jeffrey Robert Guyon