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Fishing power and standardised catch rates: Implications of missing vessel-characteristic data from the Australian eastern king prawn fishery

机译:捕捞能力和标准化捕捞率:澳大利亚东部大虾捕捞业缺失船只特征数据的含义

摘要

Standardised time series of fishery catch rates require collations of fishing power data on vessel characteristics. Linear mixed models were used to quantify fishing power trends and study the effect of missing data encountered when relying on commercial logbooks. For this, Australian eastern king prawn (Melicertus plebejus) harvests were analysed with historical (from vessel surveys) and current (from commercial logbooks) vessel data. Between 1989 and 2010, fishing power increased up to 76%. To date, both forward-filling and, alternatively, omitting records with missing vessel information from commercial logbooks produce broadly similar fishing power increases and standardised catch rates, due to the strong influence of years with complete vessel data (16 out of 23 years of data). However, if gaps in vessel information had not originated randomly and skippers from the most efficient vessels were the most diligent at filling in logbooks, considerable errors would be introduced. Also, the buffering effect of complete years would be short lived as years with missing data accumulate. Given ongoing changes in fleet profile with high-catching vessels fishing proportionately more of the fleet’s effort, compliance with logbook completion, or alternatively ongoing vessel gear surveys, is required for generating accurate estimates of fishing power and standardised catch rates.
机译:渔业捕捞率的标准时间序列需要对捕捞能力数据进行船舶特征校对。线性混合模型用于量化捕捞能力趋势,并研究依赖商业日志时遇到的缺失数据的影响。为此,对澳大利亚东部大虾(Melicertus plebejus)的收获进行了历史(来自船只调查)和当前(来自商业日志)船只数据的分析。在1989年至2010年期间,捕鱼能力提高了76%。迄今为止,由于多年的完整数据的影响(23年数据中的16年),向前填充以及从商业日志中删除缺少船只信息的记录都会产生大致相似的捕捞能力提高和标准化捕捞率)。但是,如果船只信息中的空白不是随机产生的,而最高效船只的船长在填写航海日志时最为勤奋,则会引入相当大的错误。而且,由于丢失数据的年份不断累积,整个年份的缓冲效果将短暂存在。鉴于捕捞量高的渔船不断变化的船队概况,需要按比例增加船队的工作量,因此需要遵守航海日志填写或正在进行的渔具调查,才能准确估算捕捞能力和标准化捕捞率。

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