Instituto Español de Oceanografía, C. O. Vigo, P. O. Box 1552, 36280, Vigo, Spain; Oceanlab, University of Aberdeen, Main Street, Newburgh, Aberdeenshire, AB41 6AA, U.K.
J Fish Biol. 2013 Oct;83(4):716-38. doi: 10.1111/jfb.12107. Epub 2013 May 31.
This study demonstrates the utility of trawl data, collected during acoustic surveys of pelagic fish stocks as a way of confirming fish identification, to characterize the pelagic community, as well as allowing description and prediction of fish distribution patterns, based on data from Spanish Atlantic Ocean shelf surveys during spring 2005-2011. The composition of the pelagic community is described, as well as spatial and temporal patterns of variation in both the community composition and the presence and importance of two of the main exploited pelagic species, sardine Sardina pilchardus and anchovy Engraulis encrasicolus. The most important species in terms of both frequency of occurrence and standardized mass in hauls were mackerel Scomber scombrus, hake Merluccius merluccius, horse mackerel Trachurus trachurus, S. pilchardus and bogue Boops boops. Multivariate analysis indicated significant effects of depth, geographical area and year on haul composition. Descriptive generalized additive models (GAM), with latitude, longitude and depth as predictors, identified clear spatial patterns in the occurrence and abundance of both S. pilchardus and E. encrasicolus, with abundance being highest closer to the coast and, in the case of E. encrasicolus, higher near the French and Portuguese borders. Further GAM analysis, using environmental variables to explain spatial patterns, revealed significant effects of depth and sea surface temperature (SST) gradient and depth on S. pilchardus importance, while E. encrasicolus importance was related to SST. The importance of both species in hauls was higher in the years of higher spawning stock biomass (SSB) and E. encrasicolus also appeared to expand its range when SSB was higher.
本研究展示了拖网数据在确认鱼类身份、描述和预测鱼类分布模式方面的实用性,这些数据是通过 2005-2011 年春季西班牙大西洋大陆架调查中的声学鱼类资源调查收集的。描述了浮游生物群落的组成,以及群落组成和两种主要捕捞的浮游生物物种(沙丁鱼 Sardina pilchardus 和鯷鱼 Engraulis encrasicolus)的存在和重要性的时空变化模式。根据出现频率和拖网标准化质量,最重要的物种是鲐鱼 Scomber scombrus、无须鳕 Merluccius merluccius、竹荚鱼 Trachurus trachurus、沙丁鱼和羊鱼 Boops boops。多元分析表明,拖网组成受到深度、地理区域和年份的显著影响。描述性广义加性模型(GAM),以纬度、经度和深度为预测因子,确定了 S. pilchardus 和 E. encrasicolus 出现和丰度的明显空间模式,丰度在靠近海岸的地方最高,而在 E. encrasicolus 的情况下,在靠近法国和葡萄牙边界的地方更高。进一步的 GAM 分析,使用环境变量来解释空间模式,发现深度和海面温度(SST)梯度和深度对 S. pilchardus 重要性有显著影响,而 E. encrasicolus 重要性与 SST 有关。在产卵种群生物量(SSB)较高的年份,两种鱼类在拖网中的重要性较高,而当 SSB 较高时,E. encrasicolus 似乎也扩大了其分布范围。