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2020, S1, v.50;No.311 71-77
渔业信息船数对海洋捕捞产量估计的影响
基金项目(Foundation): 山东省支持青岛海洋科学与技术试点国家实验室重大科技专项项目(2018SDKJ0501-2);; 国家自然科学基金项目(31802301);; 中央高校基本科研业务费专项资金项目(201562030)资助~~
邮箱(Email):
DOI: 10.16441/j.cnki.hdxb.20190116
摘要:

优化渔业监测方案,利用有限调查成本获取可靠的渔业数据,对于海洋捕捞产量抽样调查、掌握渔业资源动态变化具有重要意义。本文根据2017年山东省海洋捕捞渔业信息船的渔捞日志数据,以8种重要渔业物种为目标物种,将这些物种的单位渔船年捕捞产量和单位渔船年总捕捞产量的估计值为渔业生产监测目标,进行计算机模拟,以相对估计误差(REE)、相对偏差(RB)作为评价指标,研究了渔业生产监测信息船数量对渔业生产监测目标估计的影响。研究表明,对于各物种的单位渔船年捕捞产量,估计值的相对估计误差和相对偏差的绝对值均随着渔业信息船数的减少不断增大,渔业信息船数少于130时,各指标的变化幅度较大。当渔业信息船数量由210减少至130时,即渔业信息船数降低近38%,所选指标的REE值增加约8%,RB绝对值平均增加0.17%。研究结果表明,海洋捕捞产量抽样调查的渔业信息船数在保证监测目标估计值一定准确度、精确度的情况下可进行优化,130可视为2017年山东海洋捕捞生产监测可接受的最优渔业信息船的数量。

Abstract:

Fishery-dependent surveys are essential for collecting data to support stock assessment and fishery management. The optimization of fisheries monitoring program to obtain reliable fishery data with limited costs is of great significance for sampling survey of marine fisheries catch statistics and understanding the dynamics of fish stocks. The objective of fisheries sampling survey was to estimate the annual catch per vessel for eight commercially important species such as small yellow croaker Larimichthys polyactis and the total annual catch per vessel in the fisheries monitoring program of Shandong Province in 2017. The effect of the number of study fleets on the estimates of fisheries catch was examine based on the logbook data of commercial study fleets. The relative estimation error(REE) and relative bias(RB) were used as evaluation indices to measure the performances(accuracy and precision) of different sample size for the fisheries monitoring program. The results showed that the REE values and absolute values of RB of the estimates of objective indices increased with the decrease of the number of study fleets in the survey. When the sample size was less than 130, the REE for each index increased dramatically with the sample size decreasing. When the number of study fleet decreased from 210 to 130, REE increased by about 8%, the absolute value of RB increased by 0.17% in average, and the number of study fleets decreased by nearly 38%. Therefore, the sampling effort in fisheries monitoring program can be optimized while ensuring the accuracy and precision of the estimates of target indices, and 130 can be regarded as the optimal number of study fleets acceptable for marine fisheries monitoring for Shandong Province.

参考文献

[1] 刘勇.渔业资源评估抽样调查方法的理论探讨与研究[D].上海:华东师范大学,2012.Liu Y.Theoretical Study on the Sampling Methods of Survey for Fishery Stock Estimation[D].Shanghai:East China Normal University,2012.

[2] Murray L G,Hinz H,Hold N,et al.The effectiveness of using CPUE data derived from vessel monitoring systems and fisheries logbooks to estimate scallop biomass[J].ICES Journal of Marine Science,2013,70(7):1330-1340.

[3] Gerritsen H,Lordan C.Integrating vessel monitoring systems (VMS) data with daily catch data from logbooks to explore the spatial distribution of catch and effort at high resolution[J].Crop Science,2011,30(3):493-500.

[4] 化成君,张衡,樊伟.东南太平洋智利竹筴鱼资源和渔场的时空变化[J].生态学报,2011,31(19):5676-5681.Hua C J,Zhang H,Fan W.Spatial-temporal patterns of fishing grounds and resource of Chilean jack mackerel (Trachurus murphyi) in the Southeast Pacific Ocean[J].Acta Ecologica Sinica,2011,31(19):5676-5681.

[5] 王家启,田思泉,高春霞,等.淀山湖鱼类调查样本量优化设计[J].上海海洋大学学报,2018,27(2):265-273.Wang J Q,Tian S Q,Gao C X,et al.Optimization of sample size for lake fish resources survey[J].Journal of Shanghai Ocean University,2018,27(2):265-273.

[6] Liu Y,Chen Y,Cheng J.A comparative study of optimization methods and conventional methods for sampling design in fishery-independent surveys[J].ICES Journal of Marine Science,2009,66(9):1873-1882.

[7] Simmonds E J,Fryer R J.Which are better,random or systematic acoustic surveys?A simulation using North Sea herring as an example[J].ICES Journal of Marine Science,1996,53(1):39-50.

[8] 王晶,徐宾铎,张崇良,等.黄河口鱼类底拖网调查采样断面数的优化[J].中国水产科学,2017,24(5):931-938.Wang J,Xu B D,Zhang C L,et al.Sample size optimization for cluster design of bottom trawl fish surveys in the Yellow River estuary[J].Journal of Fishery Sciences of China,2017,24(5):931-938.

[9] 王家启,戴小杰,王坤,等.淀山湖鱼类生物多样性调查样本量的优化设计[J].应用生态学报,2017(1):291-298.Wang J Q,Dai X J,Wang K,et al.Optimal design of sample size for estimating species richness of fishes in Dianshan Lake,China[J].Chinese Journal of Applied Ecology,2017(1):291-298.

[10] de Graaf G,Nunoo F,Danson P O,et al.International Training Course in Fisheries Statistics and Data Collection.FAO Fisheries and Aquaculture Circular No.1091[M].Rome:FAO,2015,77-87.

[11] 甘喜萍,卢伙胜,冯波,等.分层抽样法应用于渔业生产统计的研究[J].安徽农业科学,2008,36(20):8401-8402.Gan X P,Lu H S,Feng B,et al.Application of stratified sampling in fishery production statistics[J].Journal of Anhui Agricultural Sciences,2008,36(20):8401-8402.

[12] Chen Y.A monte carlo study on impacts of the size of subsample catch on estimation of fish stock parameters[J].Fisheries Research,1996,26(3):207-223.

[13] R Core Team.R:A Language and Environment for Statistical Computing[M].Vienna:R Foundation for Statistical Computing,2012.

[14] Cochran W G.Sampling Techniques[M].New York:John Wiley,2007.

[15] Lohr S.Sampling:Design and Analysis[M].California:Duxbury Press,2009.

[16] 金勇进,杜子芳,蒋妍.抽样技术[M].第3版.北京:中国人民大学出版社,2012.Jin Y J,Du Z F,Jiang Y.Sampling Technique[M].3th Edition.Beijing:China Renmin University Press,2012.

[17] 袁兴伟,刘勇,程家骅.分层抽样误差分析及其在渔业统计中的应用[J].海洋渔业,2011,33(1):116-120.Yuan X W,Liu Y,Cheng J H.Error analysis on stratified sampling and it application in fishery statistics[J].Marine Fisheries,2011,33(1):116-120.

[18] 赵静,章守宇,林军,等.不同采样设计评估鱼类群落效果比较[J].应用生态学报,2014,25(4):1181-1187.Zhao J,Zhang S J,Lin J,et al.A comparative study of different sampling designs in fish community estimation[J].Chinese Journal of Applied Ecology,2014,25(4):1181-1187.

[19] Gavaris S,Smith S J.Effect of allocation and stratification strategies on precision of survey abundance estimates for Atlantic cod (Gadus morhua) on the Eastern Scotian Shelf[J].Journal of Northwest Atlantic Fishery Science,1987,7(2):137-144.

[20] Xu B D,Ren Y P,Chen Y,et al.Optimization of stratification scheme for a fishery-independent survey with multiple objectives[J].Acta Oceanologica Sinica,2015,34(12):154-169.

[21] 何国毅.渔业捕捞产量抽样调查若干问题研究[D].青岛:中国海洋大学,2015.He G Y.Several Issues Research on Sampling in Fishing Production Surveys[D].Qingdao:Ocean University of China,2015.

[22] 王继隆,陈恩友,赵文武,等.分层抽样方法在渔业生产统计中的应用——以松花江干流捕捞抽样调查为例[J].水产学杂志,2014,27(5):52-55.Wang J L,Chen E Y,Zhao WW,et al.Application of stratified sampling method in fishery production statistics—a case of survey of capture fisheries in main streams of Songhua River[J].Chinese Journal of Fisheries,2014,27(5):52-55.

基本信息:

DOI:10.16441/j.cnki.hdxb.20190116

中图分类号:S932

引用信息:

[1]马亚宸,徐宾铎,王晶,等.渔业信息船数对海洋捕捞产量估计的影响[J],2020,50(S1):71-77.DOI:10.16441/j.cnki.hdxb.20190116.

基金信息:

山东省支持青岛海洋科学与技术试点国家实验室重大科技专项项目(2018SDKJ0501-2);; 国家自然科学基金项目(31802301);; 中央高校基本科研业务费专项资金项目(201562030)资助~~

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