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基于地理加权模型的南设得兰群岛北部南极磷虾渔场空间分布影响分析

陈吕凤 朱国平

应用生态学报2018,Vol.29Issue(3):938-944,7.
应用生态学报2018,Vol.29Issue(3):938-944,7.DOI:10.13287/j.1001-9332.201803.037

基于地理加权模型的南设得兰群岛北部南极磷虾渔场空间分布影响分析

Analysis of influence on spatial distribution of fishing ground for Antarctic krill fishery in the northern South Shetland Islands based on GWR model

陈吕凤 1朱国平1

作者信息

  • 1. 上海海洋大学海洋科学学院, 上海 201306
  • 折叠

摘要

Abstract

Based on Antarctic krill fishery and marine environmental data collected by scientific observers,using geographically weighted regression (GWR) model,we analyzed the effects of the factors with spatial attributes,i.e.,depth of krill swarm (DKS) and distance from fishing position to shore (DTS) ,and sea surface temperature (SST) ,on the spatial distribution of fishing ground in the northern South Shetland Islands. The results showed that there was no significant aggregation in spatial distribution of catch per unit fishing effort (CPUE). Spatial autocorrelations (positive) among three factors were observed in 2010 and 2013,but were not in 2012 and 2016. Results from GWR model showed that the extent for the impacts on spatial distribution of CPUEs varied among those three factors,following the order DKS>SST>DTS. Compared to the DKS and DTS,the impact of SST on the spatial distribution of CPUEs presented adverse trend in the eastern and western parts of the South Shetland Islands. Negative correlations occurred for the spatial effects of DKS and DTS on distribution of CPUEs,though with inter-annual and regional variation. Our results provide methodological reference for researches on the underlying mechanism for fishing ground formation for Antarctic krill fishery.

关键词

南极磷虾/南设得兰群岛/地理加权回归/最小二乘法/空间异质性

Key words

Antarctic krill/South Shetland Islands/geographically weighted regression (GWR)/least square model/spatial heterogeneity

引用本文复制引用

陈吕凤,朱国平..基于地理加权模型的南设得兰群岛北部南极磷虾渔场空间分布影响分析[J].应用生态学报,2018,29(3):938-944,7.

基金项目

本文由国家自然科学基金项目(41776185)和国家科技支撑计划项目(2013BAD13B03)资助 (41776185)

应用生态学报

OA北大核心CSCDCSTPCD

1001-9332

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