Surplus Production Model for Chilean Jack Mackerel in the Southeast Pacific Ocean Based on the Environmental Factors

doi:10.13304/j.nykjdb.2021.0405

Abstract

Abstract:

In order to simulate the relationship between the fishing ground distribution and environmental factors， based on the fishery data of Chilean jack mackerel （Trachurus murphyi） in the Southeast Pacific Ocean from April to August， 2012 to 2018， 5 environmentally dependent surplus production （EDSP） models were constructed based on different combination of the sea surface temperature （SST）， chlorophyll a concentration （Chl-a）， sea surface height anomaly （SSHA） temperature anomaly （SSTA）. The results indicated that the surplus production model based on the environmental factors SST， Chl-a， SSTA and SSHA was the best， which could be expressed as $C n = 1.749 ? 12 E n - 0.000 ? 13 E n 2 + 0.003 ? 50 T n E n - 1.978 ? 76 A n E n - 2.755 ? 30 H n E n + 0.246 ? 74 S n E n$ .Variation of Chilean jack mackerel biomass was controlled mainly by fishing effort， SST，Chl-a，SSTA and SSHA in the fishing ground.

Key words: Chilean jack mackerel, Southeast Pacific Ocean, environmental factor, surplus production model

摘要：

为探究环境因子对智利竹筴鱼资源丰度的影响，根据2012—2018年4—8月中国东南太平洋智利竹筴鱼（Trachurus murphyi）渔捞日志数据，基于不同环境因子（海面温度、叶绿素a浓度、海面温度异常值和海面高度异常值）组合建立5个环境剩余产量（EDSP）模型。结果表明：海面温度对智利竹筴鱼单位捕捞努力量渔获量影响最大，其次为海面温度异常值和叶绿素a浓度，海面高度异常影响相对较小；基于海面温度、叶绿素a浓度、海面温度异常值和海面高度异常值的剩余产量模型拟合程度最好，表达式为 $C n = 1.749 ? 12 E n - 0.000 ? 13 E n 2 + 0.003 ? 50 T n E n - 1.978 ? 76 A n E n - 2.755 ? 30 H n E n + 0.246 ? 74 S n E n$ ；捕捞努力量、海洋环境因子海面温度、叶绿素a浓度、海面温度异常值和海面高度异常值均不同程度地影响智利竹筴鱼资源丰度的变动。

关键词: 智利竹筴鱼, 东南太平洋, 环境因子, 剩余产量模型

CLC Number:

S934

Siqi BAI, Xiaorong ZOU, Peng DING, Ming LIN. Surplus Production Model for Chilean Jack Mackerel in the Southeast Pacific Ocean Based on the Environmental Factors[J]. Journal of Agricultural Science and Technology, 2022, 24(7): 197-204.

白思琦, 邹晓荣, 丁鹏, 林铭. 基于环境因子的东南太平洋智利竹筴鱼剩余产量模型建立[J]. 中国农业科技导报, 2022, 24(7): 197-204.

Figures/Tables 5

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位置 Location	月份 Month	单位捕捞努力量渔获量 CPUE	CPUE残差 Residual of CPUE
40.5°S，79.0°W	5	0.348	-1.183
40.5°S，83.5°W	6	0.120	-1.177
41.0°S，80.0°W	5	0.293	-1.175
43.0°S，80.5°W	6	0.270	-1.148
39.0°S，87.5°W	7	0.240	-1.148

位置 Location	月份 Month	单位捕捞努力量渔获量 CPUE	CPUE残差 Residual of CPUE
40.5°S，79.0°W	5	0.348	-1.183
40.5°S，83.5°W	6	0.120	-1.177
41.0°S，80.0°W	5	0.293	-1.175
43.0°S，80.5°W	6	0.270	-1.148
39.0°S，87.5°W	7	0.240	-1.148

模型Model	EDSP1	EDSP2	EDSP3	EDSP4	EDSP5
AIC	71.19	66.68	62.69	54.18	51.79
平均绝对误差 MAE/ t	1 340	1 110	1 020	870	860
平均相对误差 MRE/%	38.88	33.31	30.81	26.12	25.60

模型Model	EDSP1	EDSP2	EDSP3	EDSP4	EDSP5
AIC	71.19	66.68	62.69	54.18	51.79
平均绝对误差 MAE/ t	1 340	1 110	1 020	870	860
平均相对误差 MRE/%	38.88	33.31	30.81	26.12	25.60

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