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Interaction between Penaeid Shrimp and Fish Populations in the Gulf of Mexico: Importance of Shrimp as Forage Species

机译:墨西哥湾对虾和鱼类种群之间的相互作用:虾作为饲料种类的重要性

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摘要

This study investigated the contribution of shrimp stocks in supporting the production of valuable predator species. Fishery-independent data on white shrimp, brown shrimp, and selected fish species (spotted seatrout, red drum, and southern flounder) were collected from 1986 to 2014 by the Texas Parks and Wildlife Department, and converted to catch-per-unit effort (CPUE). Here, the associations between the CPUEs of fish species as predators and those of shrimp species as prey in each sampled bay and sampling season were analyzed using co-integration analysis and Partial Least Squares Regression (PLSR). Co-integration analysis revealed significant associations between 31 of 70 possible fish/shrimp pairings. The analysis also revealed discernible seasonal and spatial patterns. White shrimp in August and brown shrimp in May were associated with fish CPUEs in bays located along the lower coast of Texas, whereas white shrimp in November was more strongly associated with fish CPUEs in bays located on the upper coast. This suggests the possible influence of latitudinal environmental gradient. The results of the PLSR, on the other hand, were not conclusive. This may reflect the high statistical error rates inherent to the analysis of short non-stationary time series. Co-integration is a robust method when analyzing non-stationary time series, and a majority of time series in this study was non-stationary. Based on our co-integration results, we conclude that the CPUE data show significant associations between shrimp abundance and the three predator fish species in the tested regions.
机译:这项研究调查了虾种群在支持有价值的捕食物种生产中的贡献。德克萨斯州公园和野生动物部于1986年至2014年收集了有关白虾,棕虾和某些鱼类(斑纹色鲈,红鼓和南部比目鱼)的与渔业无关的数据,并将其转换为每单位捕捞量( CPUE)。在这里,使用协整分析和偏最小二乘回归(PLSR)分析了每个采样海湾和采样季节中鱼类作为捕食者的CPUE与虾作为捕食者的CPUE之间的关联。协整分析显示,在70种可能的鱼/虾配对中,有31种之间存在显着关联。分析还揭示了明显的季节和空间格局。 8月的白虾和5月的棕虾与得克萨斯州下沿海湾的鱼类CPUE有关,而11月的白虾与上海岸的海湾中的鱼类CPUE有关更强。这暗示了纬度环境梯度的可能影响。另一方面,PLSR的结果不是结论性的。这可能反映了短非平稳时间序列分析固有的高统计错误率。当分析非平稳时间序列时,协整是一种可靠的方法,本研究中的大多数时间序列都是非平稳的。根据我们的协整结果,我们得出的结论是,CPUE数据显示了被测区域虾的丰度与三种捕食鱼类之间的显着关联。

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