| 带鱼保护区春秋季鱼类群落特征及与环境因子的关系 |
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| 引用本文： | 胡翠林,张洪亮,张亚洲,潘国良,徐开达,毕远新,梁君,王好学,周永东.带鱼保护区春秋季鱼类群落特征及与环境因子的关系[J].水产学报,2018,42(5):694-703. |
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| 作者姓名： | 胡翠林 张洪亮 张亚洲 潘国良 徐开达 毕远新 梁君 王好学 周永东 |
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| 作者单位： | 浙江省海洋水产研究所农业部重点渔场渔业资源科学观测实验站浙江省海洋渔业资源可持续利用技术研究重点实验室;浙江海洋大学水产学院 |
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| 基金项目： | 浙江省海洋与渔业局项目[浙海渔计（2013）149号]；浙江省科技计划项目（2017C32031）；浙江海洋大学博士启动基金（22135011015） |
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| 摘 要： | 基于2014年5月(春季)和11月(秋季)在带鱼保护区进行的渔业资源底拖网调查数据,采用非度量多维标度(NMDS)、典范对应分析(CCA)和分类回归树(CART)方法研究了带鱼保护区春、秋季鱼类群落空间结构和群落多样性,以及它们与环境因子的关系。结果显示,该水域春季共捕获鱼类75种,隶属14目49科63属;秋季捕获鱼类78种,隶属15目50科64属。春、秋两季鱼类空间结构均可划分为2个组群,经单因子相似性(ANOSIM)分析,不同季节的2个组群间均存在显著性差异。CCA分析表明,影响春、秋季鱼类群落分布的主要环境因子有温度、盐度、水深以及浮游动物。春季多样性指数平均值为1.65±0.60,丰富度指数为2.46±0.90,秋季多样性指数平均值为1.42±0.53,丰富度指数为1.89±0.60。CART分析表明,影响春季多样性和丰富度的主要因素有Chl.a、DO、水深、p H和浮游动物(磷虾类和浮游幼体);秋季多样性主要受温度、水深和盐度的影响,丰富度主要受水深和温度的影响。
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| 关 键 词： | 带鱼 保护区 鱼类群落 群落多样性 非度量多维标度 典范对应分析 分类回归树 |
| 收稿时间： | 2017/4/12 0:00:00 |
| 修稿时间： | 2017/11/2 0:00:00 |
Fish community structure and its relationship with environmental factors in the Nature Reserve of Trichiurus japonicus |
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| HU Cuilin,ZHANG Hongliang,ZHANG Yazhou,PAN Guoliang,XU Kaid,BI Yuanxin,LIANG Jun,WANG Haoxue and ZHOU Yongdong.Fish community structure and its relationship with environmental factors in the Nature Reserve of Trichiurus japonicus[J].Journal of Fisheries of China,2018,42(5):694-703. |
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| Authors: | HU Cuilin ZHANG Hongliang ZHANG Yazhou PAN Guoliang XU Kaid BI Yuanxin LIANG Jun WANG Haoxue and ZHOU Yongdong |
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| Institution: | Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China;School of Fishery, Zhejiang Ocean University, Zhoushan 316022, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China,Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China and Scientific Observing and Experimental Station of Fishery Resources for Key Fishing Grounds, Ministry of Agriculture, Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources of Zhejiang Province, Marine Fisheries Research Institute of Zhejiang Province, Zhoushan 316021, China |
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| Abstract: | The fish community structure and its relationships with the environmental factors in the Nature Reserve of Trichiurus japonicus were studied based on the data collected from bottom trawl surveys in spring and autumn 2014 by using non-metric multi-dimensional scaling (NMDS), canonical correspondence analysis (CCA) and classification and regression tree (CART). In spring, a total of 75 fish species were sampled in the survey, belonging to 63 genera, 49 families, and 14 orders. In autumn, a total of 78 fish species were captured, belonging to 64 genera, 50 families, and 15 orders. Spatial structure of fish assemblage in spring and autumn could be classified into two groups. ANOSIM (analysis of similarity) indicated that the fish species composition varied significantly between two groups in two seasons. The canonical correspondence analysis (CCA) suggested that the main environmental factors affecting the spatial distribution of fish assemblage in spring and autumn were water temperature, salinity, depth and zooplankton. The average values of diversity index and richness index were 1.65±0.60 and 2.46±0.90 separately in spring, while the average values of diversity index and richness index were 1.42±0.53 and 1.89±0.60 separately in autumn. The classification and regression tree (CART) indicated that the diversity and richness index in spring and autumn were mainly affected by Chl.a, DO, depth, pH and zooplankton (euphausiid and planktonic larvae). The main factors affecting the diversity index were water temperature, depth and salinity in autumn, while the main factors affecting the richness index were water temperature and depth. |
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| Keywords: | Trichiurus japonicus nature reserve fish community community diversity multi-dimensional scaling canonical correspondence analysis classification and regression tree |
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