Estimating Pelagic Fish Biomass in a Tropical Seascape Using Echosounding and Baited Stereo-Videography

Ecosystems ◽  
2021 ◽  
Author(s):  
Tom B. Letessier ◽  
Roland Proud ◽  
Jessica J. Meeuwig ◽  
Martin J. Cox ◽  
Phil J. Hosegood ◽  
...  
Keyword(s):  
Pelagic Fish ◽  
Fish Biomass

Seasonal changes in pelagic fish biomass around the Chiswell Island Steller sea lion rookery in 2003

2008 ◽  
Vol 93 (1-2) ◽  
pp. 179-185 ◽  
Author(s):  
Charles F. Adams ◽  
Robert J. Foy ◽  
Devin S. Johnson ◽  
Kenneth O. Coyle
Keyword(s):  
Seasonal Changes ◽  
Pelagic Fish ◽  
Steller Sea Lion ◽  
Fish Biomass ◽  
Sea Lion

scholarly journals Evidence of a variable “unsampled” pelagic fish biomass in shallow water (<20 m): the case of the Gulf of Lion

2006 ◽  
Vol 63 (3) ◽  
pp. 444-451 ◽  
Author(s):  
P. Brehmer ◽  
J. Guillard ◽  
Y. Guennégan ◽  
J.L. Bigot ◽  
B. Liorzou
Keyword(s):  
Time Series ◽  
Population Dynamics ◽  
Shallow Water ◽  
Pelagic Fish ◽  
Fish Density ◽  
Fish Biomass ◽  
Small Pelagic Fish ◽  
Fish Stocks ◽  
Gulf Of Lion ◽  
Bottom Depth

Abstract Studies of small pelagic fish biomass are limited by the fact that research vessels and fishing boats are usually restricted to working areas with a bottom depth >20 m. Consequently, “unsampled” areas can represent a large proportion of the continental shelf, and the biomass in those areas can be important and must be taken into account in assessment methods in order to avoid misleading interpretations in population dynamics. A time-series ten years long has been compiled from acoustic-assessment surveys of small pelagic fish stocks, and the results show an overall increase in the acoustic fish density towards the coast, where values were the highest. Additional experiments on transects covering shallow-water areas (5–20 m) were conducted from 2001 to 2003 with small boats and a research vessel to evaluate the acoustic fish density in those areas. The results confirmed that the fish biomass in shallow water is significant, sometimes very large, and should be evaluated to avoid underestimation. Therefore, surveys should be conducted in shallow water, if at all possible, as well as at greater depths when carrying out surveys destined to support assessment exercises.

scholarly journals Measuring herring densities with one real and several phantom research vessels

2009 ◽  
Vol 66 (6) ◽  
pp. 1264-1269 ◽  
Author(s):  
Ruben Patel ◽  
Egil Ona
Keyword(s):  
Pelagic Fish ◽  
Target Strength ◽  
Fish Biomass ◽  
Marine Science ◽  
Lateral Aspect ◽  
Multibeam Sonar ◽  
The Real ◽  
Backscattering Strength ◽  
The Mean

Abstract Patel, R., and Ona, E. 2009. Measuring herring densities with one real and several phantom research vessels. – ICES Journal of Marine Science 66: 1264–1269. Vessel-induced avoidance can potentially cause a large bias in acoustic estimates of schooling, pelagic-fish biomass. This paper presents a method for quantifying this uncertainty. Volume-backscattering strength (Sv) from a horizontally projecting, multibeam sonar (Simrad MS70) is resampled to form synthetic, vertical, echosounder beams to the side of the survey vessel. These data are analysed as if they were collected from phantom vessels surveying parallel transects at fixed ranges from the real vessel. The nautical-area-backscattering coefficients (sA) from the synthetic echograms are compared with those measured by conventional 70 and 120 kHz echosounders (Simrad EK60) on the real vessel. Data collected in 2006 from schools of Norwegian spring-spawning herring are used to illustrate the method and explore its limitations. Potential effects of vessel-induced avoidance are evaluated by comparing the mean sA values observed from the phantom vessels with those observed from the real vessel. The technique also allows direct estimates of the mean lateral-aspect target strength of in situ herring.

scholarly journals IMPACT OF THE INCREASING CATCHABILITY COEFFICIENT OF THE LARGE PURSE SEINER TO THE DEPLETION OF THE SMALL PELAGIC FISH BIOMASS IN THE JAVA SEA

2017 ◽  
Vol 17 (1) ◽  
pp. 13
Author(s):  
Suherman Banon Atmaja ◽  
Duto Nugroho
Keyword(s):  
Marine Fish ◽  
Historical Data ◽  
Pelagic Fish ◽  
Fish Biomass ◽  
Small Pelagic Fish ◽  
Fish Resources ◽  
Java Sea

Understanding the dynamics of marine fish resources and its ecosystems requires long term historical data from a particular fisheries in a certain area.

The Lake Huron pelagic fish community: persistent spatial pattern along biomass and species composition gradients

2009 ◽  
Vol 66 (8) ◽  
pp. 1199-1215 ◽  
Author(s):  
David M. Warner ◽  
Jeffrey S. Schaeffer ◽  
Timothy P. O’Brien
Keyword(s):  
Native Species ◽  
Fish Community ◽  
Pelagic Fish ◽  
Lake Huron ◽  
Fish Biomass ◽  
Osmerus Mordax ◽  
Rainbow Smelt ◽  
The North ◽  
Abiotic Variables ◽  
Composition Gradients

Spatial patterns in the biomass of pelagic fish in Lake Huron have persisted over 10 years even though biomass decreased 86% and the fish community shifted from dominance by non-native species (rainbow smelt, Osmerus mordax ) to dominance by native species (bloater, Coregonus hoyi ). Based on multivariate analyses of acoustic biomass data and abiotic variables from the years 1997, 2004, 2005, and 2007, the strength of relationships between abiotic variables (primarily bottom depth) and fish community composition gradients decreased with fish biomass, suggesting that at high biomass, the influence of the measured abiotic variables is minimal. We observed consistently higher biomass in the North Channel and Georgian Bay than in the Main Basin, and as a result, we conclude that these smaller basins are likely important contributors to lakewide fish biomass, production, and dynamics. These results suggest that at current biomass levels, efforts to understand ecology, population dynamics, and lakewide abundance need to incorporate the effects of depth and geographic variation on fish distributions and ecology.

scholarly journals Trends in spatio temporal distribution of Peruvian anchovy and other small pelagic fish biomass from 1966 2009

2012 ◽  
Vol 40 (3) ◽  
pp. 633-648 ◽  
Author(s):  
Mariano Gutierrez ◽  
Ramiro Castillo ◽  
Marceliano Segura ◽  
Salvador Peraltilla ◽  
Miguel Flores
Keyword(s):  
Temporal Distribution ◽  
Pelagic Fish ◽  
Fish Biomass ◽  
Small Pelagic Fish ◽  
Spatio Temporal

Regional climate, primary productivity and fish biomass drive growth variation and population resilience in a small pelagic fish

2019 ◽  
Vol 103 ◽  
pp. 530-541 ◽  
Author(s):  
Susanne E. Tanner ◽  
Ana Rita Vieira ◽  
Rita P. Vasconcelos ◽  
Sandra Dores ◽  
Manuela Azevedo ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Regional Climate ◽  
Pelagic Fish ◽  
Fish Biomass ◽  
Small Pelagic Fish ◽  
Growth Variation ◽  
Population Resilience

Evaluating analytical approaches for estimating pelagic fish biomass using simulated fish communities

2013 ◽  
Vol 70 (12) ◽  
pp. 1845-1857 ◽  
Author(s):  
Daniel L. Yule ◽  
Jean V. Adams ◽  
David M. Warner ◽  
Thomas R. Hrabik ◽  
Patrick M. Kocovsky ◽  
...  
Keyword(s):  
Water Column ◽  
Fish Communities ◽  
Pelagic Fish ◽  
Fish Density ◽  
Fish Biomass ◽  
Biomass Density ◽  
Species Specific ◽  
Analytical Approaches ◽  
High Fish ◽  
Apportionment Methods

Pelagic fish assessments often combine large amounts of acoustic-based fish density data and limited midwater trawl information to estimate species-specific biomass density. We compared the accuracy of five apportionment methods for estimating pelagic fish biomass density using simulated communities with known fish numbers that mimic Lakes Superior, Michigan, and Ontario, representing a range of fish community complexities. Across all apportionment methods, the error in the estimated biomass generally declined with increasing effort, but methods that accounted for community composition changes with water column depth performed best. Correlations between trawl catch and the true species composition were highest when more fish were caught, highlighting the benefits of targeted trawling in locations of high fish density. Pelagic fish surveys should incorporate geographic and water column depth stratification in the survey design, use apportionment methods that account for species-specific depth differences, target midwater trawling effort in areas of high fish density, and include at least 15 midwater trawls. With relatively basic biological information, simulations of fish communities and sampling programs can optimize effort allocation and reduce error in biomass estimates.

scholarly journals Modeling small-pelagic fish biomass in the Indonesian seas: climate variability and climate change impacts

2021 ◽  
Vol 944 (1) ◽  
pp. 012069
Author(s):  
A F Koropitan ◽  
Nabil ◽  
T Osawa
Keyword(s):  
Climate Change ◽  
Pelagic Fish ◽  
Fish Stock ◽  
Fish Biomass ◽  
Fish Production ◽  
Southern Coast ◽  
Small Pelagic Fish ◽  
Indonesian Seas ◽  
Central Java ◽  
Central Java Province

Abstract The present study uses the Community Earth System Model, version 1– Biogeochemistry [CESM1(BGC)] to examine the influence of climate variability and climate change on small pelagic fish biomass in the Indonesian seas. The fish biomass was calculated based on a fish production model according to primary production and energy transfer at the tropic level. The primary production data were obtained from results of CESM1(BGC) model from 1850 to 2015. Empirical orthogonal function (EOF) analysis of the calculated fish biomass identifies three regions in the Indonesian seas that are associated with coastal upwelling. These regions are located in (1) southern coast of Central Java Province until west-coast of West Sumatra Province, (2) southern coast of Central Java Province until the southern coast of Bali Province, and (3) Banda-Arafura Seas. Fish production variability in these regions exhibits semi-annual, annual, and IOD-ENSO related signals. Climate change impact for RCP 4.5 scenario produces ‘fish stock increase status’ in 2025 for the three regions, while the ‘fish stock current status’ will reoccur in 2050, except for the western part of Sumatra (part of region-1) which alters to ‘fish stock decrease status’.

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