海州湾及其邻近水域主要鱼类种间关联性

doi:10.13287/j.1001-9332.202001.036

应用生态学报 ›› 2020, Vol. 31 ›› Issue (1): 293-300.doi: 10.13287/j.1001-9332.202001.036

海州湾及其邻近水域主要鱼类种间关联性

王娇¹, 张崇良¹, 薛莹¹, 任一平^1,2, 徐宾铎^1*

¹中国海洋大学水产学院, 山东青岛 266003;
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 266237

收稿日期:2019-06-19 出版日期:2020-01-15 发布日期:2020-01-15
通讯作者: E-mail: bdxu@ouc.edu.cn
作者简介:王娇, 女, 1992年生, 博士研究生。主要从事渔业资源与生态学研究。E-mail: wangjiao_12@sina.cn
基金资助:
山东省支持青岛海洋科学与技术试点国家实验室重大科技专项(2018SDKJ0501-2)和国家自然科学基金项目(31772852)

Interspecific association of main fish species in the Haizhou Bay and its adjacent waters

WANG Jiao¹, ZHANG Chong-liang¹, XUE Ying¹, REN Yi-ping^1,2, XU Bin-duo^1*

¹College of Fisheries, Ocean University of China, Qingdao 266003, Shandong, China;
²Functional Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, Shandong, China

Received:2019-06-19 Online:2020-01-15 Published:2020-01-15
Contact: E-mail: bdxu@ouc.edu.cn
Supported by:
This work was supported by the Marine Science & Technology Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) (2018SDKJ0501-2) and the National Natural Science Foundation of China (31772852).

摘要/Abstract

摘要： 了解种间关联性对正确认识生物群落结构和功能等具有重要意义。本文根据2013—2017年海州湾及其邻近水域渔业资源底拖网调查所获得数据,应用χ²检验、Jaccard指数和Spearman秩相关系数等方法研究了海州湾15种主要鱼类的种间关联性。χ²检验、Jaccard指数与Spearman秩相关分析结果一致,不同年份间正相关物种对所占比例较高,但显著或极显著正相关物种对数量较少,不同年份Jaccard指数检验显著或极显著关联物种对数分别有9、6、7、1、0;Spearman秩相关检验显著或极显著相关的物种对数分别为12、20、13、5、6。关联物种对存在一定的年际变化,但显著关联物种对年际间比较稳定,表明海州湾主要鱼类群落具有比较稳定的种间关联性。相同生态类型的种类在生态位上可以相互替代,与其他物种形成相互关联。

Abstract: It is important to reveal the interspecific association and correlation of main species for deep understanding of fish community structure and function. Based on data collected from the bottom trawl surveys from 2013 to 2017 in the Haizhou Bay and the adjacent waters, we analyzed interspecific association of main species using Chi-square test, Jaccard index, and Spearman rank correlation coefficient. There were consistent results from χ²-test, Jaccard index, and Spearman’s rank correlation analysis. The proportion of positively correlated species pairs was high in different years, whereas the number of significant or extremely significant species pairs was low. There were 9, 6, 7, 1, 0 significant or extremely significant species pairs over different years based on Jaccard index. There were 12, 20, 13, 5, 6 significant or extremely significant species pairs over different years based on Spearman’s rank correlation coefficient. While there were inter-annual changes in related species pairs, the relationship between significant species pairs was relatively stable, indicating a relatively stable interspecific association in the main fish communities. The species within the same ecological type could replace each other in the niche, which have adapted to environmental changes in Haizhou Bay and its adjacent waters.

王娇, 张崇良, 薛莹, 任一平, 徐宾铎. 海州湾及其邻近水域主要鱼类种间关联性[J]. 应用生态学报, 2020, 31(1): 293-300.

WANG Jiao, ZHANG Chong-liang, XUE Ying, REN Yi-ping, XU Bin-duo. Interspecific association of main fish species in the Haizhou Bay and its adjacent waters[J]. Chinese Journal of Applied Ecology, 2020, 31(1): 293-300.

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海州湾及其邻近水域主要鱼类种间关联性

Interspecific association of main fish species in the Haizhou Bay and its adjacent waters

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