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首页> 外文期刊>ICES Journal of Marine Science >Standardizing harvest rates of finfish caught by shore-based recreational fishers
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Standardizing harvest rates of finfish caught by shore-based recreational fishers

机译：基于岸线的休闲渔民捕获的翅目的标准化率

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Evaluation of fisheries management and sustainability indicators can be supported by a reliable index of harvest rate. However, the most appropriate model that accounts for recreational fisheries is largely unknown. In order to adjust for these factors, generalized linear models were applied to data from shore-based recreational fishing surveys conducted in Western Australia between 2010 and 2016. Five candidate error distributions (lognormal, Gamma, Zero-Altered Gamma, Tweedie, and delta-lognormal) and seven independent variables (year, month, target species, fishing platform, fishers' avidity, time of day, and day type) were examined for commonly caught nearshore teleost species. Zero-Altered Gamma and Tweedie models performed best overall, although model performance and explanatory variables varied between species. Standardized harvest rates for Australian herring (Arripis georgianus) declined from 1.88 +/- 0.17 (mean +/- s.e.) fish per fishing party per day) in 2010 to 0.86 +/- 0.07 in 2016, while harvest rates for School whiting (Sillago spp.) increased from 0.44 +/- 0.21 in 2010 to 0.94 +/- 0.34 in 2016. The standardized harvest rates for both species generally showed less fluctuation among years and consistently had smaller errors than the raw harvest rates. Overall, the results suggest that the choice of error distribution, as well as explanatory variables, is species dependent when assessing shore-based fisheries. The approach used could easily be adapted to other recreational fisheries to establish reliable species-specific harvest rates that can detect variability against thresholds set in harvest strategies.
机译：渔业管理和可持续性指标的评估可以通过可靠的收获率指数来支持。但是，占娱乐渔业的最合适模型在很大程度上是未知数。为了调整这些因素，将广义的线性模型应用于来自2010年和2016年在澳大利亚西部的岸线的休闲捕捞调查数据。五个候选错误分布（Lognormal，Gamma，Zerm-Altered Gamma，Tweedie和Delta-为常见的近岸远程物种进行了历史悠久的近岸神话物种检查了七个独立变量（年，月，月，目标物种，钓鱼平台，渔民的艾滋病，日期和日型）。零改变的伽马和双曲模型表现最佳，尽管物种之间的模型性能和解释性变量变化。澳大利亚鲱鱼（Arripis Georgianus）的标准化收获率从2010年的每天每天每天的1.88 +/- 0.17（平均+/- SE）鱼下降到2010年到2016年0.86 +/- 0.07，而学校Whiting的收获费率（Sillago SPP。）2010年从0.44 +/- 0.21增加到2016年的0.94 +/- 0.34.两种物种的标准化收获率通常表现出较差的多年的波动，并且始终如一的误差比原始收获率更小。总体而言，结果表明，误差分布的选择以及解释变量是在评估岸上渔业时所依赖的物种。所用方法很容易适应其他娱乐渔业，以建立可靠的物种特异性收获率，可以检测收获策略中设定的阈值的可变性。

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