Surface distribution of albacore tuna,<i>Thunnus alalunga</i>Bonnaterre, in relation to the Subtropical Convergence Zone east of New Zealand

Roberts, P. E.

doi:10.1080/00288330.1980.9515879

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…The salinity of the former is less than that of the latter, with range of the ALB closely correlated to catch rate is from 34.68 to 34.95 PSU, and the range more closely correlated to catch rate is from 34.72 to 34.92 PSU with the proportion of total 1,157 (90.95 %) of the total 1272 ALB caught. This result was almost similar with Roberts (1980), stated that most ALB were caught either in subtropical water or in the Subtropical Convergence Zone with range of salinities 34.6 -35.4 0 /00 in New Zealand water. Different result from Arrizabalaga et al (2015) which states that ALB and skipjack showed clearly defined preferred salinity ranges, at around 36-37 PSU.…”

Section: Discussionsupporting

confidence: 90%

Study Of Albacore Tuna (Thunnus alalunga) Abundance Using Regional Ocean Modeling System (ROMS) Data In Indian Ocean

Novianto¹,

Osawa²,

Nuarsa³

2018

Int. J. Geosci. Environ.

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First, we analysed alabcore catch data based on time, positions, and layer alabcore caught and ROMS result data monthly climatology data for temperature, salinity. current velocity, and sea surface height for 2005–2008. Then, we analyzed the relationship between catch data and ROMS data by combining the statistical method of regression trogh origin (RTO) and geographic information system (GIS). Three model RTO were generated with the abundance of albacore tuna as a response variable, and temperature, salinity. current velocity, and sea surface height as predictor variables. All of the predictors of temperature, salinity. current velocity, and sea surface height were highly significant (P < 0.001) to the number of albacore tuna. Values of temperature, salinity. current velocity, and sea surface height in albacore tuna preferences ranged from 220 to 230 C, 34.79 to 34.84 Psu, 0.01 to 0.03 m/s and 0.66 to 0.70 m, respectively. Validation of the predicted number ofalbacore tuna with the observed value was significant (P < 0.05, r2 = 0.60). sea surface height was the most important environmental variable to the number of albacore tuna caught, followed by temperature, salinity and current velocity.

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Section: Discussionsupporting

confidence: 90%

Study Of Albacore Tuna (Thunnus alalunga) Abundance Using Regional Ocean Modeling System (ROMS) Data In Indian Ocean

Novianto¹,

Osawa²,

Nuarsa³

2018

Int. J. Geosci. Environ.

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“…has been occupying sections off the east coast of North Island as a component of his rock-lobster research. There have been extensive temperature and salinity observations made as part of fisheries-related programmes off the north-eastern North Island (Mercer 1979;Grassland 1980;Habib et al 1980Habib et al , 1982 eastern coast of North Island (York 1969;Lesser 1978;Roberts 1980), and around the complete North Island (JAMARC Report 1981). Two major multi-disciplinary projects have been mounted, the Maui Environmental Project guided by the University of Auckland and involved primarily with western Cook Strait, the site of the Maui Field, and the West Coast Project guided by the NZOI and involved primarily with the western coast of South Island.…”

Section: Continental Shelfmentioning

confidence: 97%

A review of the physical oceanography of the seas around New Zealand — 1982

Heath¹

1985

New Zealand Journal of Marine and Freshwater Research

467

333

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“…Often an increase in biological activity along such fronts is called the "edge-effect" and most fish have been found to accumulate at fronts (Roberts, 1980;Kleckner and McCleave, 1988;Castillo et al, 1996;Reese et al, 2011). Fish accumulations along fronts are driven by two factors, optimum temperature conditions and increased prey availability at the front (Owen, 1981;Largier, 1993).…”

Section: Importance Of Cooling Eventsmentioning

confidence: 99%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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Black Sea anchovy (Engraulis encrasicolus) undertake extensive overwintering migrations every fall from nursery grounds to warmer overwintering areas located on the south-eastern coast of the Black Sea. During migration and particularly upon arrival at the Anatolian coast, they support an important fishery and valuable source of income for the regional community. Black Sea anchovy have undergone significant stock fluctuations partly related to climatic conditions; for example, migrating anchovy schools arrived late or failed to arrive at the Anatolian coast when fall temperatures increased. It is therefore of importance to understand the conditions required for successful overwintering migration and explore different migration routes. This study invokes a Lagrangian modeling approach applied to satellite derived circulation and temperature data as a first attempt to model anchovy migration dynamics in the Black Sea. This modeling approach takes the influence of the physical environment into account, while the quality of overwintering grounds, adaptive, schooling, and homing behavior is neglected. The model is used to investigate the possible influence of interannual and seasonal variability of temperature and surface currents, as well as the influence of migration behavior on the success of anchovy overwintering migration for both the Black Sea and Azov Sea anchovy. The results of the present work show the possibility that overwintering anchovy fished along the Turkish Eastern Anatolian coast may not exclusively originate from the northwestern shelf, but mainly from the eastern Black Sea basin. Migration pathways are identified for both Black Sea and Azov Sea anchovy, which are of importance for the national fisheries efforts of riparian countries. The modeling results are in agreement with general patterns of anchovy migration given in the literature indicating that the physical environment may be a major factor in shaping general migration patterns. Simulation results are used to hypothesize about alternatives to previously determined migration routes and provide potential reasons that explain the inability of the Bulgarian anchovy fishery to recover. Results show that the intensity and timing of autumnal cooling, coupled with current Guraslan et al.Environmental Impact on Anchovy Overwintering Migration strength, can be of significant importance in determining annual and seasonal variability of migration success. Considering the need for fisheries management to account for the variability in fishable overwintering anchovy stocks a modeling approach as developed in the current study may provide such a tool.

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Surface distribution of albacore tuna,Thunnus alalungaBonnaterre, in relation to the Subtropical Convergence Zone east of New Zealand

Cited by 9 publications

References 3 publications

Study Of Albacore Tuna (Thunnus alalunga) Abundance Using Regional Ocean Modeling System (ROMS) Data In Indian Ocean

Study Of Albacore Tuna (Thunnus alalunga) Abundance Using Regional Ocean Modeling System (ROMS) Data In Indian Ocean

A review of the physical oceanography of the seas around New Zealand — 1982

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

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