Study of spatial distribution for <i>Dosidicus gigas</i> abundance off Peru based on a comprehensive environmental factor

Fang Xueyan; Chen Xinjun; Feng Yongjiu; Chen Peng

doi:10.3969/j.issn.0253-4193.2017.02.006

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Fang Xueyan, Chen Xinjun, Feng Yongjiu, Chen Peng. Study of spatial distribution for Dosidicus gigas abundance off Peru based on a comprehensive environmental factor[J]. Haiyang Xuebao, 2017, 39(2): 62-71. doi: 10.3969/j.issn.0253-4193.2017.02.006

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Fang Xueyan, Chen Xinjun, Feng Yongjiu, Chen Peng. Study of spatial distribution for Dosidicus gigas abundance off Peru based on a comprehensive environmental factor[J]. Haiyang Xuebao, 2017, 39(2): 62-71. doi: 10.3969/j.issn.0253-4193.2017.02.006

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Study of spatial distribution for Dosidicus gigas abundance off Peru based on a comprehensive environmental factor

doi: 10.3969/j.issn.0253-4193.2017.02.006

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;National Engineering Research Center for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China;The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China;Collaborative Innovation Center for Distant-water Fisheries, Shanghai 201306, China

Received Date: 2016-06-26
Rev Recd Date: 2016-09-30

Abstract

Abstract

Dosidicus gigas is one of the most important oceanic fishing objects. It is useful for learning the ecological habitat and increasing the fishing efficiency to study the spatial distribution of D. gigas. We used the fishing data as main variable and sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS) and concentration of Chlorophyll a (Chl a) as co-variables by cokriging to analyze the spatial distribution of D. gigas abundance. The fishing data was selected from June to September during 2003 to 2012 provided by the Chinese squid-jigging technology group. To solve the weight of four different environmental factors in cokriging, they were transferred to the value between 0 and 1, then combined by principle component analysis as a single comprehensive co-variable. The relative test was taken between catch per unite fishing effort (CPUE) and the co-variable. Mean error (ME), root mean square error (RMSE) and root mean standardized squared error (RMSSE) were used to assess the predicting results to examine this method. The study results showed that (1) the comprehensive environmental factors from June to September had significant correlation with CPUE, (2) The ME were 0.002 6 and 0.002 5 respectively in June and July, which indicated that the average predicted results were higher than the objected data. However ME were -0.007 8 and -0.000 2 in August and September respectively, indicting the predicting accuracy were better and the average predicted results were lower than the objected data. The precision in June was the best, and it was lower in August. The RMSSE values in June and July were less than 1, suggesting over-valuating their uncertainty. This also indicated there were bias on the predicting precision and accuracy. In a word, from the view of ME, RMSE and RMSSE, the predicted data had a certain reliability.
- Dosidicus gigas,
- spatial distribution,
- comprehensive environmental factor,
- cokriging,
- off Peru

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References(44)

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