Evaluating habitat suitability and relative abundance of skipjack ( Katsuwonus pelamis ) in the Western and Central Pacific during various El Niño events

Yen, Kuo-Wei; Wang, Guihua; Lu, Hang

doi:10.1016/j.ocecoaman.2017.02.011

Cited by 17 publications

(6 citation statements)

References 22 publications

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“…The cross-validation results ( Table 3) and MSEP of HSI (Table 4) showed that the HSI based on AMM outperformed the GMM, which is consistent with several previous papers that have reported on different species (Chen et al, 2009;Tian et al, 2009;Li et al, 2014;Tanaka and Chen, 2015;Yu et al, 2015Yu et al, , 2016bSilva et al, 2016;Yen et al, 2017). The two models we compared have different assumptions: the AMM assumes that variables can compensate for each other dependently to explain the ideal habitat conditions, whereas the GMM has compensatory effects that give less importance to extreme values (Chang et al, 2013).…”

Section: Discussionsupporting

confidence: 86%

Modeling the Oceanographic Impacts on the Spatial Distribution of Common Cephalopods During Autumn in the Yellow Sea

Jin

Gorfine

et al. 2020

Front. Mar. Sci.

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Section: Discussionsupporting

confidence: 86%

Modeling the Oceanographic Impacts on the Spatial Distribution of Common Cephalopods During Autumn in the Yellow Sea

Jin

Gorfine

et al. 2020

Front. Mar. Sci.

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“…Our results show that skipjack tuna habitat is associated with the areas of warm SST, specific Chl-a concentrations and positive SSHA, favoring fishing operations (Figs 2 and 3 ). The surface temperature preference for skipjack is relatively warmer than reported from the other areas around the world [ 15 , 22 , 27 , 28 , 37 ]. The highest catches consistently occur in May when SST gradually decrease to about 30.5°C after reaching a peak in November-December and back to the lowest SST in July and August [ 34 ].…”

Section: Discussionmentioning

confidence: 83%

“…In the eastern central Atlantic and western Indian Oceans, favorable feeding habitats for skipjack have been investigated using a single ecological niche model [ 27 ]. The recent findings show that skipjack tuna habitats in different El Nino events can be identified based on the optimal model of Habitat Suitability Index (HSI) [ 28 ]. Most of the previous analyses of the preferred skipjack tuna habitat use statistical, ecological and spatial population dynamics models.…”

Section: Introductionmentioning

confidence: 99%

Detection of pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, southwestern Coral Triangle tuna, Indonesia

et al. 2017

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Using remote sensing of sea surface temperature (SST), sea surface height anomaly (SSHA) and chlorophyll-a (Chl-a) together with catch data, we investigated the detection and persistence of important pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, Indonesia. We analyzed the data for the period between the northwest and southeast monsoon 2007–2011. A pelagic hotspot index was constructed from a model of multi-spectrum satellite-based oceanographic data in relation to skipjack fishing performance. Results showed that skipjack catch per unit efforts (CPUEs) increased significantly in areas of highest pelagic hotspot indices. The distribution and dynamics of habitat hotspots were detected by the synoptic measurements of SST, SSHA and Chl-a ranging from 29.5° to 31.5°C, from 2.5 to 12.5 cm and from 0.15 to 0.35 mg m-3, respectively. Total area of hotspots consistently peaked in May. Validation of skipjack CPUE predicted by our model against observed data from 2012 was highly significant. The key pelagic habitat corresponded with the Chl-a front, which could be related to the areas of relatively high prey abundance (enhanced feeding opportunity) for skipjack. We found that the area and persistence of the potential skipjack habitat hotspots for the 5 years were clearly identified by the 0.2 mg m-3 Chl-a isopleth, suggesting that the Chl-a front provides a key oceanographic indicator for global understanding on skipjack tuna habitat hotspots in the western tropical Pacific Ocean, especially within Coral Triangle tuna.

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“…SST, Chla and SSH was divided into class interval of 0.3 o C, 0.02 mg/m 3 and 4 cm, respectively. Based on the total number of fishing efforts in each class interval of different variables, the probability of squid occurrence (referring to the observed suitability index, SI) in various environmental ranges were calculated (Chen et al, 2010;Yen et al, 2017).…”

Section: Hsi Model Development Test and Validationmentioning

confidence: 99%

Climate-related changes in seasonal habitat pattern of Sthenoteuthis oualaniensis in the South China Sea

Fan

Chen

Feng

et al. 2021

Ecosyst Health Sustain

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Sthenoteuthis oualaniensis is an economically important species widely distributed in the South China Sea. In this study, a habitat suitability index model (HSI) was established to examine seasonal habitat pattern of S. oualaniensis in the South China Sea from spring to autumn and assessed the impacts of the El Niño event on habitat variations using three critical environmental factors including sea surface temperature (SST), Chlorophyll-a (Chla) and sea surface height (SSH). Environmental conditions and habitat patterns showed significant seasonal and spatial variations. Spatial pattern of favorable environmental conditions played an important role in regulating the ranges and longitudinal and latitudinal distributions of suitable habitats (areas with HSI ≥ 0.6) of S. oualaniensis across seasons. Significant positive correlation was found between SST and HSI, whereas negative relationship was revealed between HSI and Chla as well as SSH on the main fishing ground of S. oualaniensis by correlation analysis. Comparing to normal climate condition in spring 2014, the El Niño events in spring 2015 and 2016 yielded relatively lower SST and higher Chla and SSH, which were unfavorable for the formation of high-quality habitats for S. oualaniensis. Favorable ranges of environmental conditions showed decreasing trend from spring 2014 to 2016. Consequently, the suitable habitats in spring 2015 and 2016 largely contracted and became discontinuity. Our findings indicated that seasonal habitat patterns of S. oualaniensis in the South China Sea were closely associated with local environmental conditions. Importantly, the El Niño events strongly affected spatio-temporal patterns of S. oualaniensis habitat in the South China Sea.

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Evaluating habitat suitability and relative abundance of skipjack ( Katsuwonus pelamis ) in the Western and Central Pacific during various El Niño events

Cited by 17 publications

References 22 publications

Modeling the Oceanographic Impacts on the Spatial Distribution of Common Cephalopods During Autumn in the Yellow Sea

Modeling the Oceanographic Impacts on the Spatial Distribution of Common Cephalopods During Autumn in the Yellow Sea

Detection of pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, southwestern Coral Triangle tuna, Indonesia

Climate-related changes in seasonal habitat pattern of Sthenoteuthis oualaniensis in the South China Sea

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