温度和叶绿素变化对南Alboran海Al-Hoceima沙丁鱼丰度波动的影响

Abdellaoui B, Berraho A, Falcini F, Santoleri Jr, S. M., P. A, Idrissi Mh, H. K
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引用次数: 19

摘要

摩洛哥地中海小型远洋鱼类的渔获量有很大的波动和趋势,这一事实具有相当大的社会经济影响。这些变化往往与环境条件对征聘过程的影响有关。我们调查了摩洛哥地中海最重要的捕鱼区之一(即Al-Hoceima地区)沙丁鱼丰度的波动,并试图评估环境变化对该地区中上层鱼类供应的影响。在此基础上,利用2008 - 2015年单位努力渔获量(CPUE)数据的季节和趋势黄土(STL)分解时间序列,结合遥感环境参数(即海面温度和叶绿素a)进行分析,并应用非线性模型(GAM)。结果表明,沙丁鱼CPUE的波动与海面温度呈反比关系。非线性关系证实温度是影响丰度的最重要参数,而叶绿素-a与CPUE数据在月和季节变化水平上的相关性一般较弱,除了年趋势。分析还显示,从2003年开始,叶绿素-a呈正趋势,从2011年开始呈负趋势,揭示了年际变化,支持鱼类登陆波动。基于CPUE与温度/叶绿素-a之间的关系,可以更好地预测Al-Hoceima捕鱼区(南阿尔博兰海)的沙丁鱼丰度。
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Assessing the Impact of Temperature and Chlorophyll Variations on theFluctuations of Sardine Abundance in Al-Hoceima (South Alboran Sea)
Landings of small pelagic fish in Moroccan Mediterranean Sea show large fluctuations and trends, a fact that has a considerable socio-economic impact. These changes are often related to the impact of the environmental conditions on recruitment processes. We investigate fluctuations of the sardine’s abundance at one of the most important fishing areas of the Moroccan Mediterranean Sea (i.e., Al-Hoceima region) and try to assess the impact of environmental changes on the availability of pelagic fish in this area. In these regards, we analyzed Seasonal and Trends Loess’ (STL) decomposition of time series between 2008 and 2015 of catch-per-unit-effort (CPUE) data along with environmental parameters (i.e., sea surface temperature and chlorophyll-a) from remote sensing and we applied nonlinear models (GAM). Results show an inverse relationship between fluctuations of sardine CPUE and sea surface temperature. Nonlinear relationships confirm that the temperature is the most important parameter affecting abundance, whereas chlorophyll-a, is generally, weakly correlated to the CPUE data at monthly and seasonal level variations, except for annual trends. The analysis also shows positive trend of chlorophyll-a, from 2003 and a negative one starting from 2011, revealing an inter-annual variability that support fish landings fluctuations. Modeling based on the relationships between the CPUE and temperature/chlorophyll-a, allowed better prediction of the sardine abundance in the Al-Hoceima fishing area (South Alboran Sea).
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