2011年春、夏、秋三季莱州湾浮游植物群落演替及其与主要中上层鱼类资源密度的关系
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1. 中国水产科学研究院黄海水产研究所, 农业农村部海洋渔业可持续发展重点实验室, 山东 青岛 266071;
2. 青岛海洋科学与技术试点国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266071

作者简介:

栾青杉(1981-),副研究员,从事海洋浮游植物生态学研究.E-mail:luanqs@ysfri.ac.cn

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S931

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国家重点研发计划项目(2018YFD0900901).


Phytoplankton community succession and its relationship with the density distribution of major pelagic fishes in Laizhou Bay
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1. Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs;Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;
2. Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao 266071, China

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    摘要:

    于2011年5-10月对莱州湾渔业资源与栖息环境进行了6个航次的逐月大面调查,研究了春末至秋中网采浮游植物群落结构的演替,并利用广义可加模型分析了其与主要小型中上层鱼类资源密度的关系。共记录浮游植物33属78种,总丰度在春、秋季各出现1个峰值,分别为265×104 ind/m3和111×104ind/m3。春末夏初优势种主要为具槽帕拉藻(Coscinodiscus)、角毛藻()属逐渐形成优势。夏末至秋中,物种丰富度、多样性和均匀度皆呈现上升的趋势。将环境和浮游植物群落指标作为解释变量逐步优化后的广义可加终模型,对4种鱼类CPUE总偏差的累积解释率达到了76.5%,月份、海表温度、夜光藻丰度、圆筛藻丰度、甲/硅藻比5个预测变量皆达到显著水平以上,甲/硅藻比的升高对渔业资源密度分布表现出正向的作用。结果表明,莱州湾浮游植物群落长期演变后的类群结构和丰度水平,对鱼类群落结构及其资源量现状的可持续性有着积极的意义。本研究为深入探讨渔业种群关键栖息地早期补充和食物网过程的影响因素,从浮游植物饵料基础变动的角度提供了数据资料和科学依据。

    Abstract:

    Six surveys were carried out to investigate the fishery resources and their habitat environments from May to October 2011 in the Laizhou Bay. Phytoplankton samples were collected using a standard vertical towing net (mesh size 77 μm), followed by the addition of formalin (approximately 5% final concentration in each sample) for preservation. Habitat environment was measured with a Multiparameter Sondes (YSI 6600). Phytoplankton species identification and cell enumeration were performed with an optical microscope. Phytoplankton community succession from spring to fall was clarified and its relationship with the density of major pelagic fishes was revealed by generalized additive models (GAM). A total of 33 genera and 78 taxa were recorded, with diatoms and dinoflagellates accounting for 85.9% and 14.1% in the total taxa numbers, respectively. Most of the species were eurythermal, and some were warm-temperate ecotypes, such as Rhizosolenia styliformis. Others were warm-water and oceanic species, such as . Two abundance peaks formed in the spring and fall seasons, with the values of 265×104 and 111×104 ind/m3, respectively. Monthly abundance from May to October was 265×104, 53.1×104, 27.1×104, 27.7×104, 111×104, and 92.9×104 ind/m3, respectively, with the diatoms accounting for 80.8%, 76%, 54.5%, 87.8%, 86.6%, and 68.7%. The monthly averaged ratios of dinoflagellate to diatoms abundance was 1.15, 1.13, 2.54, 0.23, 0.17, and 1.42, peaking in July. The dominant taxa were from late spring to early summer, from middle summer to middle fall. Monthly , 31.8×103, 124×103, 219×103, 398×103, and 188×103 ind/m3, respectively, with the diatoms accounting for 32.7%, 18.7%, 34.8%, 51.7%, 49.3%, and 32.3%. , 8.57×103, 19.9×103, 22.4×103, 250×103, and 63.7×103 ind/m3, respectively, accounting for 0.24%, 4.29%, 5.74%, 12.1%, 15.7%, and 13.3%. , 23.8×103, 1.31×103, 10.5×103, 0.23×103, and 1.24×103 ind/m3, respectively, accounting for 4.14%, 9.64%, 5.49%, 15.9%, 0.045%, and 0.42%. 3, 0.57×103, 3.76×103, 68×103, and 124×103 ind/m3, respectively, accounting for 0.24%, 4.29%, 5.74%, 12.1%, 15.7%, and 13.3%. , 0.93×103, 7.13×103, 7.46×103, 20.4×103, and 33.7×103 ind/m3, respectively, accounting for 0.032%, 0.39%, 3.36%, 5.42%, 2.8%, and 7.77%. The species richness, diversity and evenness increased markedly from late summer to middle fall. They had 72%, 70%, and 29.6% increases after August, respectively. The GAM analysis was fulfilled in the mgcv-1.8 package by R software. The stepwise optimized final model, as explained by environment and phytoplankton factors, clarified a sum of 76.5% deviance to the total CPUE (Catch Per Unit Effort) of four pelagic fishes (Engraulis japonicus). There were significant differences in the five predictor variables of month, sea surface temperature, abundance, and the ratio of dinoflagellate to diatom abundance, with stepwise deviation explanation of 52.3%, 8.6%, 9.3%, 0.5%, and 1.8%. It is clear that the long-term variations of the phytoplankton community structure and abundance level have made positive effects on the sustainability of the current status of fish communities and fishery resources in the Laizhou Bay. This study provides the baseline data and evidence from the view of phytoplankton diets, for further discussion of the factors that influence on the recruitment and food web processes of the fishery populations in the key habitats.

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栾青杉,吴强.2011年春、夏、秋三季莱州湾浮游植物群落演替及其与主要中上层鱼类资源密度的关系[J].中国水产科学,2020,27(5):547-558
LUAN Qingshan, WU Qiang. Phytoplankton community succession and its relationship with the density distribution of major pelagic fishes in Laizhou Bay[J]. Journal of Fishery Sciences of China,2020,27(5):547-558

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  • 在线发布日期: 2020-05-15
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