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Analysis of the landings and trawl survey time series from the Tyrrhenian Sea (NW Mediterranean)

机译:第勒尼安海(地中海西北部)的登陆和拖网调查时间序列分析

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The present study aimed to evaluate the variation over time of the abundance of the populations of five demersal species in the Tyrrhenian Sea (NW Mediterranean) analysing data obtained from trawl surveys and commercial landing monitoring. The influence of some environmental variables (sea surface temperature, wind speed, NAO index) and some fishing effort indices (fishing days, mean size and mean engine power of the trawl vessels) was analysed as well. The species considered for the study were Eledone cirrhosa, Merluccius merluccius, Mullus barbatus. Nephrops norvegicus and Parapenaeus longirostris. From 1991 to 2006, the mean monthly landing rates were computed from the data collected at the auction of Porto Santo Stefano, the most important fishing harbour in the area.A second data set was represented by trawl survey data: two experimental trawl surveys per year have been carried out in the framework of national and international programs on the assessment of demersal resources. The mean biomass (kg/km(2)) indices were calculated. The time series analyses were carried out by means of Min/Max Auto-correlation Factor Analysis (MAFA) and Dynamic Factor Analysis (DFA). The two techniques provided coherent results, indicating that the two most important trends in the response variables are an increase in terms of both LPUE and survey biomass index, and a fluctuating pattern, even though characterized by a general increasing tendency. What drove these trends is less clear, even though the available evidence suggests that the reduction of fishing effort has been more important than environmental factors
机译:本研究旨在分析从拖网调查和商业着陆监测获得的数据,以评估第勒尼安海(地中海西北地区)五个沉没物种种群数量随时间的变化。还分析了一些环境变量(海表温度,风速,NAO指数)和某些捕捞努力指数(捕捞天数,拖网船的平均大小和平均发动机功率)的影响。考虑用于该研究的物种是硬皮Eledone,Merluccius merluccius,Mullus barbatus。 Nephrops norvegicus和Parapenaeus longirostris。从1991年到2006年,平均月登陆率是根据该地区最重要的渔港圣港斯特凡诺港拍卖会上收集的数据计算得出的,第二个数据集是拖网调查数据:每年两次实验性拖网调查这项工作是在国家和国际评估海底资源方案的框架内进行的。计算了平均生物量(kg / km(2))指数。通过最小/最大自相关因子分析(MAFA)和动态因子分析(DFA)进行时间序列分析。两种技术提供了一致的结果,表明响应变量中两个最重要的趋势是LPUE和调查生物量指数的增加,以及波动的模式,尽管其特征是总体趋势有所增加。尽管现有证据表明减少捕捞努力比环境因素更为重要,但驱动这些趋势的原因尚不清楚

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