首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于渔港抽样调查不同捕捞方式CPUE单位标准化新方法
作者姓名:陶雅晋  冯波  易木荣  李波  卢伙胜  颜云榕
作者单位:广东海洋大学水产学院;广东海洋大学南海渔业资源监测与评估中心;广东省南海深远海渔业管理与捕捞工程技术研究中心;广东海洋大学深圳研究院海洋渔业信息化技术化中心
基金项目:国家自然科学基金项目(41376158)和广东省教育厅南海深远海渔业资源评估与监测(2014GKXM048)共同资助
摘    要:本研究是在阐明传统CPUE(Catch Per Unit Effort)单位表述多样性的基础上,分析传统CPUE存在的不确定性、单位不统一性以及解析与意义不完整等问题。对24个CPUE单位,首先通过通用性标准,筛选出各种捕捞方式均能适用的8个CPUE单位;再通过相似性标准,对CPUE单位聚类分成2组,并在每组中筛选出最佳单位为kg/(kW·d)和kg/d;最后通过稳定性筛选标准对其标准差与变异系数值计算,最终得到CPUE的标准单位:kg/(kW·d),并确定CPUE的表达形式。本研究还基于CPUE单位标准化进行了实证分析,对2016年4个季度南海三省区的9种主要作业类型渔船的生产调查数据进行了分析比较,捕捞能力大小依次为:围网双拖刺网罩网张网单拖拖虾笼壶钓具。CPUE经单位标准化后已具备进行捕捞产量统计、评估渔船捕捞能力、衡量资源相对丰度指数、评估渔业资源利用水平等功能。

关 键 词:CPUE  单位标准化  kg/(kW·d)  kg/d  捕捞能力
收稿时间:2018/2/26 0:00:00
修稿时间:2018/3/28 0:00:00

A Novel Approach to Unit Standardization of CPUE for Multiple Types of Fishing Gear Based on Fishing Port Sampling Surveys
Authors:TAO Yajin  FENG Bo  YI Murong  LI Bo  LU Huosheng and YAN Yunrong
Institution:College of Fisheries, Guangdong Ocean University, Zhanjiang 524088,College of Fisheries, Guangdong Ocean University, Zhanjiang 524088; Center of South China Sea Fisheries Resources Monitoring and Assessment, Guangdong Ocean University, Zhanjiang 524088; Guangdong Provincial Engineering and Technology Research Center of Far Sea Fisheries Management and Fishing of South China Sea, Zhanjiang 524088,College of Fisheries, Guangdong Ocean University, Zhanjiang 524088,College of Fisheries, Guangdong Ocean University, Zhanjiang 524088,College of Fisheries, Guangdong Ocean University, Zhanjiang 524088; Center of South China Sea Fisheries Resources Monitoring and Assessment, Guangdong Ocean University, Zhanjiang 524088; Guangdong Provincial Engineering and Technology Research Center of Far Sea Fisheries Management and Fishing of South China Sea, Zhanjiang 524088 and College of Fisheries, Guangdong Ocean University, Zhanjiang 524088; Center of South China Sea Fisheries Resources Monitoring and Assessment, Guangdong Ocean University, Zhanjiang 524088; Guangdong Provincial Engineering and Technology Research Center of Far Sea Fisheries Management and Fishing of South China Sea, Zhanjiang 524088; Shenzhen Institute of Guangdong Ocean University, Marine Fisheries Information Technique of South China Sea, Shenzhen 518000
Abstract:Traditional CPUE (catch-per-unit-effort) units show diversity and complexity due to the different types of fishing methods, sizes of vessels, and characteristics of fisheries on which they are based, leading to problems with data incomparability among multiple fishing gear types. To assess the fish stocks in a specific areas of the sea, the impact of various different fishing types needs to be considered, but using traditional CPUE data makes it difficult to assess these stocks because of variations in the units used. We reviewed the relevant literature and screened out 24 types of CPUE units. The following processes were then carried out to standardize CPUE units across multiple fishing types. First, eight CPUE units appropriate for different fisheries were selected based on general criteria. Those CPUE units were then divided into two groups based on overall similarities and differences. The two main applicable CPUE units of kg/(kW·d) and kg/d were identified at this stage. Finally, the coefficient of variation (CV) of each of these two selected CPUE units was calculated. The smaller the value of the CV was, the more stabile the unit was concluded to be. The optimum unit was determined to be kg/(kW·d) based on this stability criterion. The landings of nine major fishing types in the South China Sea in each of the four seasons of 2016 were then analyzed using this optimal CPUE unit. The results of this analysis showed that the fishing capacity of different gear types were arranged in the following order: Seine > Pair trawl > gillnet > falling-net > stow net > otter trawl > shrimp trawl > pot > fishing tackle, corresponding to mean values of 29.57, 8.77, 4.96, 4.81, 4.73, 3.95, 3.11, 3.08, and 2.35 kg/(kW·d), respectively. After catch data are standardized by the optimal novel CPUE unit developed in this study, comparisons and analyses of fishing capacity among gear types, relative abundance and utilization levels of different fisheries resources, and fisheries catch statistics could be conducted with greater accuracy than was previously possible.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《》浏览原始摘要信息
点击此处可从《》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号