Spatial–temporal variations in primary productivity and population dynamics of skipjack tuna Katsuwonus pelamis in the western and central Pacific Ocean

Yen, Kuo-Wei; Lu, Hang

doi:10.1007/s12562-016-0992-x

Cited by 17 publications

(9 citation statements)

References 35 publications

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Section: Discussionmentioning

confidence: 99%

“…The phenomenon suggests that productivity per se does not cause tuna aggregation; however, the downstream development of secondary production provides an attractive habitat for yellowfin tuna and other tuna [23]. Therefore, Lan et al [15] and Yen and Lu [31] have reported a positive relationship between high tuna abundance in high pigment concentrations and appeared time-lagged correlation in the Arabian Sea and tropical Pacific, respectively. The short temporal response of yellowfin tuna catches to seasonal changes also suggests that shifts in the distribution of the longline fleet are more strongly influenced by changing of sea temperature rather than Chl-a concentration [9,32].…”

Section: Discussionmentioning

confidence: 99%

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Using Remote-Sensing Environmental and Fishery Data to Map Potential Yellowfin Tuna Habitats in the Tropical Pacific Ocean

et al. 2017

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Changes in marine environments affect fishery resources at different spatial and temporal scales in marine ecosystems. Predictions from species distribution models are available to parameterize the environmental characteristics that influence the biology, range, and habitats of the species of interest. This study used generalized additive models (GAMs) fitted to two spatiotemporal fishery data sources, namely 1 • spatial grid and observer record longline fishery data from 2006 to 2010, to investigate the relationship between catch rates of yellowfin tuna and oceanographic conditions by using multispectral satellite images and to develop a habitat preference model. The results revealed that the cumulative deviances obtained using the selected GAMs were 33.6% and 16.5% in the 1 • spatial grid and observer record data, respectively. The environmental factors in the study were significant in the selected GAMs, and sea surface temperature explained the highest deviance. The results suggest that areas with a higher sea surface temperature, a sea surface height anomaly of approximately −10.0 to 20 cm, and a chlorophyll-a concentration of approximately 0.05-0.25 mg/m 3 yield higher catch rates of yellowfin tuna. The 1 • spatial grid data had higher cumulative deviances, and the predicted relative catch rates also exhibited a high correlation with observed catch rates. However, the maps of observer record data showed the high-quality spatial resolutions of the predicted relative catch rates in the close-view maps. Thus, these results suggest that models of catch rates of the 1 • spatial grid data that incorporate relevant environmental variables can be used to infer possible responses in the distribution of highly migratory species, and the observer record data can be used to detect subtle changes in the target fishing grounds.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Using Remote-Sensing Environmental and Fishery Data to Map Potential Yellowfin Tuna Habitats in the Tropical Pacific Ocean

et al. 2017

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“…Produktivitas primer dapat diestimasi dengan menggunakan data penginderaan jarak jauh (Ishizaka et al, 2010;Joo et al, 2015;Lee et al, 2015;Yen and Lu, 2016;González-Rodríguez et al, 2012;Shang et al, 2010). Salah satu citra satelit yang dapat digunakan untuk mengestimasi produktivitas primer di perairan adalah satelit Aqua dengan sensor MODIS (Moderate Resolution Imaging Spectroradiometer) level 3 dengan resolusi 4 km.…”

Section: Pendahuluanunclassified

Untitled

Wulandari¹,

Aryanti²,

Hendrawan³

2019

jmrt

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“…Produktivitas primer bersih dapat diestimasi dengan menggunakan data penginderaan jarak jauh (Ishizaka et al, 2010;Joo et al, 2015;Lee et al, 2015;Yen and Lu, 2016;Deng et al, 2017;González-Rodríguez et al, 2012;Shang et al, 2010). Salah satu citra satelit yang dapat digunakan untuk mengestimasi produktivitas primer bersih di perairan adalah satelit Aqua dengan sensor MODIS (Moderate Resolution Imaging Spectroradiometer) level 3 dengan resolusi 4 km.…”

Section: Pendahuluanunclassified

Studi Variabilitas Produktivitas Primer Bersih Serta Hubungannya dengan El-Nino Southern Oscillasion (ENSO) dan Indian Ocean Dipole (IOD) di Laut Banda Berdasarkan Data Satelit Aqua MODIS

Aryanti

Hendrawan

Suteja

2018

J. Mar. Aquat. Sci.

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Banda Sea is one of the waters had rich of fish catch. The high catch of fish was related with primary productivity of these waters. Net Primary productivity in the Banda Sea was related with some oceanographic factors such as current, ARLINDO, upwelling and downwelling. The oceanographic factors are influenced by ENSO and IOD. The aim of this research to explained the variability of net primary productivity in Banda Sea and its relation with oceanography factor such as ENSO and monsoon. Data that used in this research were data from MODIS satellite and for analysis of net primary productivity data used Vertically Generalized Production Model (VGPM). The relation of net primary productivity with ENSO and IOD can used pearson correlation method. The result of net primary productivity value in Banda Sea was about 100 gCm-2day-1 - 1200 gCm-2day-1, with the highest apex net primary productivity in August precisely in the east season. The high value of net primary productivity due to upwelling in the season. The value of net primary productivity in west season was decreased. This condition caused by the downwelling of the season. The region with the highest net primary productivity value was the northeast of Banda Sea and the region with lowest net primary productivity value was the western of Banda Sea. The relationship between ENSO with net primary productivity in Banda Sea classified in medium correlation with value 0,556, while relationship between IOD and net primary productivity classified in weak correlation with value 0,23.

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Spatial–temporal variations in primary productivity and population dynamics of skipjack tuna Katsuwonus pelamis in the western and central Pacific Ocean

Cited by 17 publications

References 35 publications

Using Remote-Sensing Environmental and Fishery Data to Map Potential Yellowfin Tuna Habitats in the Tropical Pacific Ocean

Using Remote-Sensing Environmental and Fishery Data to Map Potential Yellowfin Tuna Habitats in the Tropical Pacific Ocean

Untitled

Studi Variabilitas Produktivitas Primer Bersih Serta Hubungannya dengan El-Nino Southern Oscillasion (ENSO) dan Indian Ocean Dipole (IOD) di Laut Banda Berdasarkan Data Satelit Aqua MODIS

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