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首页> 外文期刊>African Journal of Marine Science >Population abundance and seasonal migration patterns indicated by commercial catch-per-unit-effort of hakes (Merluccius capensis and M. paradoxus) in the northern Benguela Current Large Marine Ecosystem
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Population abundance and seasonal migration patterns indicated by commercial catch-per-unit-effort of hakes (Merluccius capensis and M. paradoxus) in the northern Benguela Current Large Marine Ecosystem

机译:在北方Benguela目前大型海洋生态系统中,商业捕获的每单位努力所示的人口丰富和季节性移植模式。

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摘要

We developed generalised additive models (GAMS) to estimate standardised time-series of population abundance indices for assessment purposes and to infer ecological and behavioural information on northern Benguela hakes, Merluccius capensis and M. paradoxus, using haul-by-haul commercial trawl catch-rate data as proxies for hake densities. The modelling indicated that individual ship identifiers should be used rather than general vessel characteristics, such as vessel size. The final models explained 79% and 68% of the variability in the commercial catch rates of M capensis and M. paradoxus, respectively. The spatial density patterns were consistent and confirmed existing knowledge about these species in the northern Benguela system. Furthermore. seasonal migration patterns were described for the first time and were found to correspond to the known spawning areas and seasons for M. capensis and M. paradoxus. Spatial density patterns were validated using the geostatistical modelling results of fisheries-independent trawl survey data. Improved understanding of the relationships between fleet dynamics and fish movement can be achieved by taking into consideration the present catch-rate model and spatial and seasonal distribution maps. We conclude that the yearly standardised CPUE time-series are problematic as proxies for total stock abundance because of spatial coverage issues. Consequently, such CPUE data should not be used for stock-size assessments and fisheries advice concerning northern Benguela hakes until this is solved. We generally recommend the exclusion of standardised CPUE time-series from stock assessments when important and changing parts of the stock distribution cannot be targeted by the fishery, such as due to closed areas or seasons.
机译:我们开发了广义添加剂模型(GAMS),以估算评估目的的标准化时间级数,以进行评估目的,并使用Haul-By-Haul商业拖网捕获 - 速率数据作为Hake密度的代理。建模表明,应使用各个船舶标识符而不是一般血管特性,例如血管尺寸。最终模型分别解释了Mapensis和M. Paradoxus的商业捕获率的79%和68%。空间密度模式是一致的,并确认了对北方Benguela系统中这些物种的现有知识。此外。首次描述了季节性迁移模式,并发现与已知的产卵区域和M. capensis和M. paradoxus的季节相对应。使用渔业独立拖网调查数据的地统计学建模结果验证了空间密度模式。通过考虑本速率模型和空间和季节分布图,可以改善对车队动态和鱼类运动之间的关系的理解。我们得出结论,由于空间覆盖问题,年度标准化的CPUE时间系列是总体股票丰富的代理。因此,这种CPUE数据不应用于有关北方Benguela HEAKE的股票大小的评估和渔业建议,直至解决该问题。我们通常建议在股票分布的重要和变化的部分不能被渔业瞄准渔业,例如由于封闭的地区或季节,排除标准化的CPE时间序列。

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