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Chinese Journal of Applied Ecology ›› 2017, Vol. 28 ›› Issue (10): 3409-3416.doi: 10.13287/j.1001-9332.201710.040

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Inter-decadal variation of spatial aggregation of Trichiurus japonicus in East China Sea based on spatial autocorrelation analysis

YUAN Xing-wei, LIU Zun-lei, JIN Yan, CUI Xue-sen, ZHOU Wei-feng, CHENG Jia-hua*   

  1. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Shanghai 200090, China
  • Received:2017-02-13 Revised:2017-07-22 Online:2017-10-18 Published:2017-10-18
  • Supported by:

    This work was supported by the Special Fund for Agro-Scientific Research in the Public Interest (201303047) and the Offshore Fisheries Resources Investigation Program of Ministry of Agriculture of China (1999-2011).

Abstract: Marine fish shows high heterogeneity in spatial aggregation. We analyzed the inter-deca-dal variations of stock density for Trichiurus japonicus in East China Sea (ECS) using geo-statistical approaches such as spatial autocorrelation and hotspot analysis, based on the data of T. japonicus from both bottom trawl fishery and research surveys in the open waters of ECS during 1971 to 2011, combined with the sea surface temperature (SST) and surface salinity data in the PN section in August. The global spatial autocorrelation statistics showed that Moran’s I firstly decreased and then went up, indicating that the spatial aggregation patterns of T. japonicus was weakened in the beginning and then increased during 1971 to 2011. The surface salinity in the PN section displayed the opposite trend during the same period. The local spatial autocorrelation statistics showed that the population firstly moved to the southern ECS and then to the northern ECS except in 1971 in which the population concentrated in the middle of ECS because of the restriction of offshore fishing ground. The movement of hotspot areas of T. japonicus adaptively varied with the first EOF mode of SST in summer (sumEOF1), which indicated that the hotspot areas first moved southeastward with decreasing sumEOF1, and moved northeastward with increasing sumEOF1, but all of the hotspot areas were close to the northward branch of the Kuroshio Current.