Relationship between albacore (Thunnus alalunga) fishing grounds in the Indian Ocean and the thermal environment revealed by cloud-free microwave sea surface temperature

Lan, Kuo Wei; Kawamura, Hiroshi; Lee, Ming-An; Lu, Hsueh Jung; Shimada, Tatsuya; Hosoda, Kohtaro; Sakaida, Futoki

doi:10.1016/j.fishres.2011.08.017

Cited by 30 publications

(23 citation statements)

References 27 publications

(38 reference statements)

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“…In the South Indian Ocean, however, both the southern and northern branches of the Subtropical Front, also called Subtropical Convergence Front, are located south of 30°S [ Belkin and Gordon , ; Lan et al ., ; Graham and De Boer , ]. Nevertheless, Palastanga et al .…”

Section: Introductionmentioning

confidence: 99%

South Indian Countercurrent and associated fronts

et al. 2014

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A striking feature of the South Indian Ocean circulation is the presence of the eastward South Indian Countercurrent (SICC) that flows in a direction opposite to that predicted by the classical theories of wind-driven circulation. Several authors suggest that the SICC resembles the subtropical countercurrents (STCCs) observed in other oceans, which are defined as narrow eastward jets on the equatorward side of subtropical gyres, where the depth-integrated flow is westward. These jets are associated with subsurface thermal fronts at thermocline depths by the thermal wind relation. However, the subsurface thermal front associated with the SICC has not been described to date. Other studies conjecture an important role for salinity in controlling the SICC. In the present work, we analyze three Argo-based atlases and data from six hydrographic cruises to investigate whether the SICC is accompanied by permanent thermal and density fronts including salinity effects. The seasonal cycle of these fronts in relation to the SICC strength is also investigated. We find that the SICC is better described as composed of three distinct jets, which we name the northern, central, and southern SICC. We find that the southern SICC around 26 S has an associated thermal front at subsurface depths around 100-200 m with salinity being of secondary importance. The southern branch strength is related to mode waters poleward of the front, similar to a STCC-like current. However, the SICC multiple jet structure seems to be better described as resulting from PV staircases.

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Section: Introductionmentioning

confidence: 99%

South Indian Countercurrent and associated fronts

et al. 2014

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“…The techniques utilize satellite data on SST, chlorophyll-a concentration (Chl-a), sea surface height (SSH), and oceanic fronts, which are related to foraging, to delineate regions or ecological provinces in the ocean that have similar physical and biological forcing (McClain 2009;Stuart et al 2011;Lan et al 2012Lan et al , 2017Klemas 2013). Studies on oceanic front effects on marine species have postulated that discontinuities in oceanic structure serve as aggregating mechanisms for less-mobile prey because of the shear force between the distinct water masses (Olson et al 1994;Lan et al 2012). In recent years, various edge detection methods have been applied to satellite SST images (Pozo-Vazquez et al 1999;Shimada et al 2005;Belkin and O'Reilly 2009).…”

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confidence: 99%

Variation in the Catch Rate and Distribution of Swordtip Squid Uroteuthis edulis Associated with Factors of the Oceanic Environment in the Southern East China Sea

Liao

Lan

et al. 2018

Mar Coast Fish

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Predictions from species distribution models are used to parameterize the environmental factors that influence the biology, distribution, and habitats of a species of interest. We fitted generalized additive models (GAMs) to spatiotemporal fishery data from torchlight fishing (2009-2013) to investigate the catch rates of swordtip squid Uroteuthis edulis in relation to changes in oceanographic conditions within the southern East China Sea, and we developed a habitat preference model. A high Jensen-Shannon divergence (JSD) value is considered to be an index of a thermal front. The results obtained using the selected GAMs revealed that the explained deviance in the catch rates pertaining to the oceanographic conditions was 45.10% throughout the year. All variables examined-sea surface temperature (SST), chlorophyll-a, sea surface height anomaly, and JSD-were statistically significant predictors (P < 0.05), and JSD explained the greatest amount of deviance (17.70%). The model predicted relatively high abundance of swordtip squid at 27-28°N in the southern East China Sea during spring and a decrease from June to August. The high Subject editor: Milo Adkison, University of Alaska-Fairbanks, Juneau

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“…In the Northeast Atlantic, an analysis with generalized additive models found that SSTs of 16-18°C are preferred but there were also high CPUE areas that did not appear to be related to thermal gradients (Sagarminaga and Arrizabalaga, 2010). Lan et al (2012) related albacore distribution to SST and Jensen-Shannon divergence (an index of SST gradient-like or relative SST gradient, ranging from 0 to 1) in the Indian Ocean from 2006 to 2008 and found that high CPUE occurred at SSTs of 15-19°C and moderate to high Jensen-Shannon divergence values (0.3-0.9). In contrast to these analyses, we considered both the gradient-based (strength of the front) and histogram-based thermal structure (presence and edge of the front) simultaneously, and it would be interesting to apply the current method to other regions and examine whether results are consistent.…”

Section: Discussionmentioning

confidence: 99%