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Chinese Journal of Applied Ecology ›› 2016, Vol. 27 ›› Issue (12): 4052-4058.doi: 10.13287/j.1001-9332.201612.008

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Spatial point patterns of Antarctic krill fishery in the northern Antarctic Peninsula

YANG Xiao-ming1,2,3,4, LI Yi-xin1, ZHU Guo-ping1,2,3,4*   

  1. 1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;
    2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China;
    3Polar Marine Ecosystem Laboratory, Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Cocontructed by Ministry of Education and Shanghai, Shanghai 201306, China;
    4Collaborative Innovation Center for Distant-water Fisheries, Shanghai 201306, China
  • Received:2016-05-24 Online:2016-12-18 Published:2016-12-18
  • Contact: * E-mail: gpzhu@shou.edu.cn.
  • Supported by:
    This paper was supported by the National Science & Technology Support Plan of China (2013BAD13B03), Special Fund for Argo-scientific Research in the Public Interest of China (201203018), National Natural Science Foundation of China (41606210) and Scientific Research Foundation for the Returned Overseas Chinese Scholars of Ministry of Education.

Abstract: As a key species in the Antarctic ecosystem, the spatial distribution of Antarctic krill (thereafter krill) often tends to present aggregation characteristics, which therefore reflects the spatial patterns of krill fishing operation. Based on the fishing data collected from Chinese krill fishing vessels, of which vessel A was professional krill fishing vessel and Vessel B was a fishing vessel which shifted between Chilean jack mackerel (Trachurus murphyi) fishing ground and krill fishing ground. In order to explore the characteristics of spatial distribution pattern and their ecological effects of two obvious different fishing fleets under a high and low nominal catch per unit effort (CPUE), from the viewpoint of spatial point pattern, the present study analyzed the spatial distribution characteristics of krill fishery in the northern Antarctic Peninsula from three aspects: (1) the two vessels’ point pattern characteristics of higher CPUEs and lower CPUEs at different scales; (2) correlation of the bivariate point patterns between these points of higher CPUE and lower CPUE; and (3) correlation patterns of CPUE. Under the analysis derived from the Ripley’s L function and mark correlation function, the results showed that the point patterns of the higher/lo-wer catch available were similar, both showing an aggregation distribution in this study windows at all scale levels. The aggregation intensity of krill fishing was nearly maximum at 15 km spatial scale, and kept stably higher values at the scale of 15-50 km. The aggregation intensity of krill fishery point patterns could be described in order as higher CPUE of vessel A > lower CPUE of vessel B >higher CPUE of vessel B > higher CPUE of vessel B. The relationship of the higher and lo-wer CPUEs of vessel A showed positive correlation at the spatial scale of 0-75 km, and presented stochastic relationship after 75 km scale, whereas vessel B showed positive correlation at all spatial scales. The point events of higher and lower CPUEs were synchronized, showing significant correlations at most of spatial scales because of the dynamics nature and complex of krill aggregation patterns. The distribution of vessel A’s CPUEs was positively correlated at scales of 0-44 km, but negatively correlated at the scales of 44-80 km. The distribution of vessel B’s CPUEs was negatively correlated at the scales of 50-70 km, but no significant correlations were found at other scales. The CPUE mark point patterns showed a negative correlation, which indicated that intraspecific competition for space and prey was significant. There were significant differences in spatial point pattern distribution between vessel A with higher fishing capacity and vessel B with lower fishing capacity. The results showed that the professional krill fishing vessel is suitable to conduct the analysis of spatial point pattern and scientific fishery survey.