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Volume 44 Issue 1
Jan.  2022
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Article Contents
Zhao Guoqing,Wu Zuli,Cui Xuesen, et al. Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model[J]. Haiyang Xuebao,2022, 44(1):22–35 doi: 10.12284/hyxb2022012
Citation: Zhao Guoqing,Wu Zuli,Cui Xuesen, et al. Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model[J]. Haiyang Xuebao,2022, 44(1):22–35 doi: 10.12284/hyxb2022012

Spatial temporal patterns of chub mackerel fishing ground in the Northwest Pacific based on spatial autocorrelation model

doi: 10.12284/hyxb2022012
  • Received Date: 2021-06-25
  • Rev Recd Date: 2021-08-27
  • Available Online: 2021-09-10
  • Publish Date: 2022-01-14
  • Chub mackerel (Scomber japonicus) is a major target species in the Northwest Pacific fishery. Understanding changes in its fishing grounds is of great significance for assessing population size, resource, utilization, and management of the fishery. Based on catch data of high sea light purse seine fishery of China from 2014 to 2019, the spatial and temporal patterns of chub mackerel fishing grounds in the Northwest Pacific using the global Moran index, the local hot spot analysis, center of gravity migration trajectory model, and standard deviation ellipse are analyzed in this study. The results show that: (1) catches of chub mackerel mainly concentrates in the area between 39°−44°N and 147°−155°E, the annual catches show a trend of first increase and then decrease, the annual CPUE decrease year by year, the monthly catches show a trend of first increase and then decrease, which maintaines at a high level from June to October, and the monthly CPUE increases with month. (2) The spatial autocorrelations of annually and monthly chub mackerel catches are significant, and the monthly autocorrelations are stronger than annually ones, indicated highly aggregated distribution of the fishing grounds. (3) The distributions of chub mackerel hot spots and cold spots show a certain spatial agglomeration, but their distribution patterns and the areas cover varied apparently with years and months. (4) The gravity center of fishing ground generally show northwest shift from year to year, and in term of seasonal changes, moves northwest from April to August, and then turnes back to the southwest. (5) The annual and monthly shifts in directions of fishing grounds are consistent, showing an southwest-northeast pattern with strong directivity and aggregation. The spatial correlation models used in this analysis present a new look at spatial and temporal patterns of the chub mackerel fishing grounds, which may provide useful information for the rational development and utilization of the chub mackerel resource.
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