2020
DOI: 10.3390/fishes5030028
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Catch per Unit Effort Dynamic of Yellowfin Tuna Related to Sea Surface Temperature and Chlorophyll in Southern Indonesia

Abstract: Tuna fisheries are the most valuable fisheries in the world, with an estimated market value of at least US$42 billion in 2018. Indonesia plays an important role in the global tuna fisheries and has committed to improve its fisheries management; therefore, a pilot of long-term spatial-temporal data bases was developed in 2012, however none have utilized data to have better understanding for management improvement. In this study, the annual and seasonal variation of large (≥10 kg) Yellowfin Tuna (YFT) catch per … Show more

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Cited by 20 publications
(17 citation statements)
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References 31 publications
(39 reference statements)
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“…The study of Zainuddin (2011) provides almost the same picture, namely SST and chlorophyll-a in Bone Bay were associated with skipjack tuna fishing that occurs in the east monsoon. Wiryawan et al (2020) stated that there is a relationship between seasonal and annual tuna abundance patterns that are influenced by SST and chlorophyll-a and are associated with upwelling and El Nino events.…”
Section: Discussionmentioning
confidence: 99%
“…The study of Zainuddin (2011) provides almost the same picture, namely SST and chlorophyll-a in Bone Bay were associated with skipjack tuna fishing that occurs in the east monsoon. Wiryawan et al (2020) stated that there is a relationship between seasonal and annual tuna abundance patterns that are influenced by SST and chlorophyll-a and are associated with upwelling and El Nino events.…”
Section: Discussionmentioning
confidence: 99%
“…Namun, pada saat upaya penangkapan telah melebihi dari potensi lestari dari sumberdaya ikan maka tren dari produktivitas suatu perikanan akan mengalami penurunan. Faktor-faktor yang dapat mempengaruhi nilai CPUE meliputi jumlah upaya penangkapan, lama waktu melaut, ukuran kapal, bobot total hasil tangkapan, jumlah individu hasil tangkapan, suhu permukaan laut, dan kandungan klorofil-a (Wiryawan et al 2020)…”
Section: Pembahasanunclassified
“…We chose the GAM model because it did not relate to the normality of the data used, so it is easier to use for the data analysis. GAM with Gaussian distribution was applied to determine the effect of environmental factors on skipjack tuna distribution (Zainuddin et al, 2019;Wiryawan et al, 2020). The response variable µi (fish number of skipjack tuna catch) and the predictor variables (SST and Chl-a) can be formulated as follows:…”
Section: Generalized Additive Model (Gam)mentioning
confidence: 99%