Characterization of bigeye tuna habitat in the Southern Waters off Java–Bali using remote sensing data

Setiawati, Martiwi Diah; Sambah, Abu Bakar; Miura, Fusanori; Tanaka, Takahiko; As-syakur, Abd. Rahman

doi:10.1016/j.asr.2014.10.007

Cited by 44 publications

(36 citation statements)

References 47 publications

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“…In addition, the potential habitat was mostly found in the western and southern part of the study area. This spatial distribution result also had the same agreement with results the GAM method [25] and the frontal zone in the study area [4].…”

Section: Relationship Between Environmental Factors and Bigeye Tuna Csupporting

confidence: 76%

“…In other words, bigeye tuna prefer to remain in the low SST around the study area. This result displays the same trends as those observed with the GAM analysis in the same study area [21,25]. The optimum value can be inferred by determining the threshold (i.e., average number of bigeye tuna).…”

Section: Relationship Between Environmental Factors and Bigeye Tuna Csupporting

confidence: 71%

“…Bigeye tuna catch rates differed along with time and environmental factor variations [25]. Like other pelagic species, bigeye tuna have their preferred living environments.…”

Section: Relationship Between Ocean Dynamics and Preferred Habitat Fomentioning

confidence: 99%

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Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach

Setiawati

Tanaka

2017

Fishes

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Abstract:The southern waters off Java-Bali were recognized as spawning and potential fishing ground for tuna species. However, few studies have been conducted on this area. In this paper, the environmental preference of bigeye tuna was assessed based on catch data and three main environmental satellite data; namely; sea surface temperature (SST), sea surface chlorophyll (SSC), and sea surface height deviation (SSHD). Then, the relationship between bigeye tuna catches and environmental satellite data was analyzed by using a simplified method of the Generalized Additive Model (GAM) which is called scatterplot smoothers. This method is the forerunner of GAM and has not yet been applied for fisheries analysis. The aim of this study was to evaluate its performance for/in analyzing bigeye tuna habitat preference. The result indicated that SST, SSC, and SSHD had a high correlation with the bigeye tuna's spatial patterns. Furthermore, spatial patterns of bigeye tuna preference display typical characteristics of low SST, low SSC, and low positive SSHD as well as areas with extreme SSHD values, which are almost the same results as those identified with GAM analysis in the same study area.

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Section: Relationship Between Environmental Factors and Bigeye Tuna Csupporting

confidence: 76%

Section: Relationship Between Environmental Factors and Bigeye Tuna Csupporting

confidence: 71%

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Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach

Setiawati

Tanaka

2017

Fishes

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“…() indicated that skipjack in the western North Pacific prefer waters where SSChl is between 0.08 and 0.37 μg/L; our calculations yielded similar concentrations ranging from 0.2 to 0.3 μg/L. The GAMs of Zagagliz, Lorenzzetti, and Stech () and Setiawati, Sambah, Miura, and As‐syakur () that were based upon the longline catch of yellowfin and bigeye indicated a preference for waters where SSChl ranged between 0.05 and 0.17 μg/L. We obtained a preference range of 0.1–0.2 μg/L.…”

Section: Discussionmentioning

confidence: 56%

Habitat analysis of the commercial tuna of the Eastern Tropical Pacific Ocean

Harrison

Hinton

et al. 2018

Fisheries Oceanography

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We have extracted information on the habitats of bigeye (Thunnus obesus), skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares) in the Eastern Tropical Pacific Ocean by matching the spatial‐temporal distribution of catch and effort of purse seine and longline fleets collected by the Inter‐American Tropical Tuna Commission with oceanographic conditions and subjecting the matched data to Quotient Analysis and General Additive Models (GAMs). These analyses yielded the following results. The habitats defined by the GAM analysis of young fish differ significantly between two periods, one before and one after the introduction of fish aggregation devices (FADs). This was not true for the older fish caught by longline. We speculate that these changes were caused by the extensive use of FADs. Younger bigeye and yellowfin caught by the purse seine fleet have a different preference of environmental variables compared to older fish caught by longline. This is to be expected since tuna of different age groups have different sizes, metabolic capabilities and swimming skills. Moreover, as revealed by GAMs, the habitats of young fish differ between species to a much larger degree than those of older fish. Our results indicate the fundamental differences between fishing methods, targeted species, and operating region of the two fisheries. Specifically, young bigeye occupy equatorial waters farther from the coast and where the hypoxic layer is deeper, young skipjack occupy more productive waters associated with equatorial and coastal upwelling, and young yellowfin occupy broad areas where waters are underlain by a shallow hypoxic layer.

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“…Konsentrasi klorofil-a pada perairan Selat Bali di setiap musim selama tahun 2011-2016 mengalami fluktuasi. Tingginya nilai rata-rata konsentrasi klorofil-a pada musim timur tahun 2011-2016, karena adanya pengaruh dari fenomena upwelling yang terjadidi perairan selatan jawa dan Selat Bali (Ridha et al, 2013;Setiawati et al, 2015). Fenomena upwelling menyebabkan terjadinya penurunan SPL dan tingginya kandungan unsur hara yang kaya akan nutrien (nitrat dan fosfat) menuju ke permukaan perairan, sehingga nutrien dalam jumlah yang tinggi akan diikuti dengan meningkatnya kandungan klorofil-a pada daerah perairan tersebut (Kemili dan Putri, 2012 Pada musim timur tahun 2011-2016 nilai hasil tangkapan ikan tongkol bulan Juni berkisar 0-559.204kg dengan nilai rata-rata sebesar 89.589,6 kg, nilai hasil tangkapan ikan tongkol pada bulan Juli berkisar 0-407.628kg dengan nilai rata-rata sebesar 54.323,7kg, dan nilai hasil tangkapan ikan tongkol pada bulan Agustus berkisar 200-609.984kg dengan nilai rata-rata sebesar 72.475kg.…”

Section:  Dasar Pengambilan Keputusan Pengujianunclassified

Variasi Musiman Hubungan Antara Parameter Oceanografi Dengan Hasil Tangkapan Ikan Tongkol Berdasarkan Data Harian Di Selat Bali

Sastra

Karang

As-syakur

et al. 2017

J. Mar. Aquat. Sci.

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Mackerel fish that classified pelagic fish and an export commodity in Indonesia. Distribution of mackerel fish are foundn all Indonesian waters, one of them in the Bali Strait. Distribution of mackerel fish influenced by oceanographic condition such as sea surface temperature (SST) and chlorophyll-a concentration. SST and chlorophyll-a concentrations are environmental parameters that can provide information on fishing ground. The purpose of this research is explained the temporal fluctuation and relationship between SST and chlorophyll-a concentration with mackerel fish had been catch in Bali Strait waters during 2011-2016. Data were analyzed using simple correlation analysis with 95% confidence interval. Temporally, the highest average SST occurred during the transition season I (March-May) and the lowest in the east season (June-August). The highest average chlorophyll-a concentration occurs in the east season and the lowest in the west season (December-February). The highest catch of mackerel fish occurred during transitional season II (September-November) and lowest in west season. The association between SST and chlorophyll-a concentration on mackerel fish catch showed low correlation with significant relationship, whereas concentration between SST and chlorophyll-a concentration strong with significant correlation

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Characterization of bigeye tuna habitat in the Southern Waters off Java–Bali using remote sensing data

Cited by 44 publications

References 47 publications

Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach

Utilization of Scatterplot Smoothers to Understand the Environmental Preference of Bigeye Tuna in the Southern Waters off Java-Bali: Satellite Remote Sensing Approach

Habitat analysis of the commercial tuna of the Eastern Tropical Pacific Ocean

Variasi Musiman Hubungan Antara Parameter Oceanografi Dengan Hasil Tangkapan Ikan Tongkol Berdasarkan Data Harian Di Selat Bali

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