Feasibility of Deploying a Dual-frequency Identification Sonar (DIDSON) System to Estimate Salmon Spawning Ground Escapement in Major Tributary Systems of the Fraser River, British Columbia PDF Download
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Author: John A. Holmes
Publisher:
ISBN:
Category : Chinook salmon
Languages : en
Pages : 0
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Author: John A. Holmes
Publisher:
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Category : Chinook salmon
Languages : en
Pages : 0
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Author: Canada. Dept. of Fisheries and Oceans
Publisher: Nanaimo, B.C. : Fisheries and Oceans Canada
ISBN:
Category : Chinook salmon
Languages : en
Pages : 51
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Author:
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ISBN:
Category : Pacific salmon
Languages : en
Pages : 84
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Author: Yunbo Xie
Publisher:
ISBN:
Category : Echo sounding in fishing
Languages : en
Pages : 68
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Author: Debby L. Burwen
Publisher:
ISBN:
Category : Pacific salmon
Languages : en
Pages : 34
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Experiments were conducted with a DIDSON (Dual frequency IDentification SONar) acoustic system to evaluate the potential for estimating fish size from images of tethered and free-swimming fish in two Alaskan rivers.
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Category :
Languages : en
Pages : 77
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Chinook salmon in the Snake River basin were listed as threatened under the Endangered Species Act in 1992 (NMFS 1992). The Secesh River represents the only stream in the Snake River basin where natural origin (wild) salmon escapement monitoring occurs at the population level, absent a supplementation program. As such the Secesh River has been identified as a long term salmon escapement and productivity monitoring site by the Nez Perce Tribe Department of Fisheries Resources Management. Salmon managers will use this data for effective population management and evaluation of the effect of conservation actions on a natural origin salmon population. The Secesh River also acts as a reference stream for supplementation program comparison. Dual frequency identification sonar (DIDSON) was used to determine adult spring and summer Chinook salmon escapement in the Secesh River in 2008. DIDSON technology was selected because it provided a non-invasive method for escapement monitoring that avoided listed species trapping and handling incidental mortality, and fish impedance related concerns. The DIDSON monitoring site was operated continuously from June 13 to September 14. The first salmon passage was observed on July 3. DIDSON site total estimated salmon escapement, natural and hatchery fish, was 888 fish ± 65 fish (95% confidence interval). Coefficient of variation associated with the escapement estimate was 3.7%. The DIDSON unit was operational 98.1% of the salmon migration period. Adult salmon migration timing in the Secesh River occurred over 74 days from July 3 to September 14, with 5,262 total fish passages observed. The spawning migration had 10%, median, and 90% passage dates of July 8, July 16, and August 12, respectively. The maximum number of net upstream migrating salmon was above the DIDSON monitoring site on August 27. Validation monitoring of DIDSON target counts with underwater optical cameras occurred for species identification. A total of 860 optical camera identified salmon passage observations were identical to DIDSON target counts. However, optical cameras identified eight jack salmon (3 upstream, 5 downstream) less than 55 cm in length that DIDSON did not count as salmon because of the length criteria employed (e"55 cm). Precision of the DIDSON technology was evaluated by comparing estimated net upstream salmon escapement and associated 95% confidence intervals between two DIDSON sonar units operated over a five day period. The DIDSON 1 salmon escapement was 145.7 fish (± 2.3), and the DIDSON 2 escapement estimate was 150.5 fish (± 5). The overlap in the 95% confidence intervals suggested that the two escapement estimates were not significantly different from each other. Known length salmon carcass trials were conducted in 2008 to examine the accuracy of manually measured lengths, obtained using DIDSON software, on high frequency files at a 5 m window length. Linear regression demonstrated a highly significant relationship between known lengths and manually measured salmon carcass lengths (p
Author: William J. Glick
Publisher:
ISBN:
Category : Escapement (Fisheries)
Languages : en
Pages : 0
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Dual-frequency Identification Sonar (DIDSON; Belcher et al. 2002) is used annually to estimate sockeye salmon Oncorhynchus nerka passage into the Kenai River of Upper Cook Inlet (UCI), Alaska (Figure 1). Adaptive Resolution Imaging Sonar (ARIS) is used to estimate sockeye salmon passage into the Kasilof River. Both multi-beam sonar systems are manufactured by Sound Metrics Corporation with ARIS being an upgraded replacement of the DIDSON. Sonar passage estimates of sockeye salmon are used for inseason management of UCI commercial fisheries, as well as personal use fisheries in the Kenai and Kasilof rivers, to achieve established escapement goals and inriver run goals. The current sustainable escapement goal (SEG) for sockeye salmon in the Kenai River is 750,000–1,300,000 fish. The inriver goal for sockeye salmon in the Kenai River is 1,000,000–1,200,000 fish if the forecasted return estimate is 2,300,000; 1,100,000–1,400,000 fish for a forecasted return of 2,300,000–4,600,000; and 1,200,000–1,600,000 fish for a forecasted return of 4,600,000 (Marston and Frothingham In prep). The Kasilof River optimal escapement goal (OEG) is 140,000–370,000 sockeye salmon, with a biological escapement goal (BEG) of 140,000–320,000. (McKinley et al. 2020). Fish wheels are used to capture migrating salmon for 1) species apportionment; 2) to estimate age, length, and sex composition of the sockeye salmon escapement; and, 3) to collect genetic samples as needed. Historical sonar passage and escapement data for the Kenai and Kasilof rivers (Table 1) is provided in yearly Regional Information and Fishery Data Series reports as exhibited by Glick and Marston (In prep). This plan outlines how sonar sampling and logistical operations will be conducted for each of these sonar enumeration sites.
Author: Suzanne L. Maxwell
Publisher:
ISBN:
Category : Copper River (Alaska)
Languages : en
Pages : 155
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Report discusses the relationship between salmon escapement estimates obtained from the 2 sonar systems used--Bendix echo-counting sonar and a dual-frequency identification sonar (DIDSON).
Author: Gregory B. Buck
Publisher:
ISBN:
Category : Escapement (Fisheries)
Languages : en
Pages : 73
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Hydroacoustic techniques were used to develop escapement estimates of sockeye (Oncorhynchus nerka), Chinook (O. tshawytscha), and chum (O. keta) salmon for the Nushagak River in Bristol Bay, Alaska during 2010?2012. Coho (O. kisutch) and pink salmon (O. gorbuscha) salmon escapements were estimated in 2012. A standard range dual-frequency identification sonar (DIDSON) was used to estimate salmon escapement on the left (south) bank, and a long range DIDSON was used to estimate salmon escapement on the right (north) bank. Estimates of species composition, age, sex, and size composition were derived from samples obtained using drift gillnets at the sonar site. Final escapement estimates for sockeye salmon were 468,696 (2010), 428,191 (2011), and 432,438 (2012). Final escapement estimates for chum salmon were 273,914 (2010), 248,278 (2011), and 395,165 (2012). Final escapement estimates for Chinook salmon were 60,185 (2010), 108,278 (2011), and 174,085 (2012). Coho and pink salmon escapements were 329,946 and 1,214,960 in 2012. The major age class estimated for sockeye salmon was age 1.3, which ranged from 65% to 93% of the escapement in 2010-2012. The major age class for Chinook salmon was age 1.3, which ranged from 40% to 53% of the escapement in 2010-2012. The major age class for chum salmon was age 0.3, which ranged from 54% to 65% of the escapement in 2010-2012.
Author:
Publisher:
ISBN:
Category : Pacific salmon
Languages : en
Pages : 86
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