Comparative research on habitat suitability index models of albacore tuna (<i>Thunnus alalunga</i>) based on surface and thermocline environmental variables in the South Pacific Ocean

Guo Ganggang; Zhang Shengmao; Fan Wei; Zhang Heng; Yang Shenglong

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Guo Ganggang, Zhang Shengmao, Fan Wei, Zhang Heng, Yang Shenglong. Comparative research on habitat suitability index models of albacore tuna (Thunnus alalunga) based on surface and thermocline environmental variables in the South Pacific Ocean[J]. Haiyang Xuebao, 2016, 38(10): 44-51.

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Guo Ganggang, Zhang Shengmao, Fan Wei, Zhang Heng, Yang Shenglong. Comparative research on habitat suitability index models of albacore tuna (Thunnus alalunga) based on surface and thermocline environmental variables in the South Pacific Ocean[J]. Haiyang Xuebao, 2016, 38(10): 44-51.

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Comparative research on habitat suitability index models of albacore tuna (Thunnus alalunga) based on surface and thermocline environmental variables in the South Pacific Ocean

1.
Key Lab of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture; East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China;College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
Key Lab of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture; East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China

Received Date: 2016-04-20

Abstract

Abstract

In order to compare the influence degree of surface and thermocline environmental factors on the distribution of albacore tuna fishing ground in the South Pacific quantifiably, this study adopted fishing statistics data of albacore tuna from 21 Chinese longline vessels in the South Pacific during 2010-2012, sea surface temperature (SST)and sea surface height (SSH) data from satellite remote sensing, and upper-bounds and bottom-bounds temperature and depth data of thermocline from Argo buoys, using the outer envelope method to construct three kinds of habitat suitability index (HSI) models based on above environmental variables. Model validation results shows that, HSI model based on sea surface environmental variables, when HSI value is higher than 0.6, the percentage of catch accounting for 70.04% and the percentage of hook numbers accounting for 70.86%, when HSI is higher than 0.8, the percentage of catch accounting for 24.92% and the percentage of hook numbers accounting for 25.79%; HSI model based on the thermocline upper-bounds environmental variables, when HSI value is higher than 0.6, the percentage of catch accounting for 82.17% and the percentage of hook numbers accounting for 80.95%, when HSI value is higher than 0.8, the percentage of catch accounting for 33.24% and the percentage of hook numbers accounting for 32.69%; HSI model based on the thermocline bottom-bounds environmental variables, when HSI value is higher than 0.6, the percentage of catch accounting for 81.01% and the percentage of hook numbers accounted for 81.54%, when HSI value is higher than 0.8, the percentage of catch accounting for 43.51%and the percentage of hook numbers accounted for 43.73%. The analysis shows that, compared to the sea surface environment, the thermocline environment, especially the effect of the thermocline bottom-bounds environmental characteristics is more significant to the distribution of South Pacific albacore tuna resource.
- albacore tuna,
- surface,
- thermocline,
- habitat suitability index

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References(31)

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