首页|2013-2022年海州湾及其邻近海域鱼类群落物种共存格局的年际变化

2013-2022年海州湾及其邻近海域鱼类群落物种共存格局的年际变化

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物种共存是群落生态学的核心问题之一,探究群落物种共存格局可以更好地理解影响群落构建的生态过程.在ENSO事件频发的背景下,海州湾鱼类群落物种共存格局的年际变化及其对ENSO事件的响应尚不清晰.本文根据2013-2022年海州湾及其邻近海域鱼类资源调查数据和海洋尼诺指数数据,应用零模型分析方法,研究了该海域春、秋季鱼类群落物种共存格局的年际变化及其与海洋尼诺指数的关系.结果表明,海州湾鱼类群落在2013-2022年总体上呈现出非随机物种共存格局,在大多数年份表现为聚集共存模式,且秋季比春季的聚集模式更为明显;鱼类群落物种共存格局受到重要物种对的影响,重要物种对组成存在年际变化;在大多情况下,方氏云鳚(Enedrias fangi)、大泷六线鱼(Hexagrammos otakii)等优势种与其它鱼种形成聚集共存模式,而鲆鲽类、䲗类等鱼种与其他鱼种形成离散共存格局;鱼类群落物种共存格局受到零模型中C得分指数(C-score)和方差比率(V-ratio)指标选择的影响;当处于ENSO中性状态时,物种共存格局多表现为聚集模式,而当发生ENSO事件时,物种共存格局大多从聚集模式转变为随机模式,且物种共存格局与海洋尼诺指数的波动趋势存在一定的相关性.
Interannual changes in species co-occurrence patterns of fish commu-nities in Haizhou Bay and its adjacent waters from 2013 to 2022
Species coexistence is one of the core issues in community ecology,and exploring the coexistence patterns of community species can help with better understanding the ecological processes that affect community assembly.In the context of frequent El Niño-Southern Oscillation(ENSO)events,the changes in species coexistence patterns of fish communities and their responses to ENSO events in the bay remain largely unknown.Changes in species co-occurrence patterns within fish communities over the past decade and their relationships with the Oceanic Niño Index(ONI)were examined using null model analysis based on the data collected from the fish resources survey in the spring and autumn in the Haizhou Bay and its adjacent waters from 2013 to 2022.The results showed that the fish communities in the Haizhou Bay generally showed a nonrandom species co-occurrence pattern from 2013 to 2022,and exhibited an aggregation co-occurrence pattern in most years,with the aggregation pattern more pronounced in autumn than in spring.The species co-occurrence pattern of fish communities was influenced by important species pairs,and the important species pairs varied in different years.In most cases,dominant species such as Enedrias fangi and Hexagrammos otakii formed an aggregated coexistence pattern with other fish species,while fish species such as flatfish and Callionymus formed a segregated coexistence pattern with other fish species in most cases.The species co-occurrence pattern of fish communities was influenced by the selection of C-score and V-ratio indicators in the null model analysis.The fish communities were almost always in an aggregated co-occurrence pattern at ENSO neutral conditions.However,the species co-occurrence pattern mostly shifted from an aggregated pattern to a random pattern when ENSO events occurred,and there was a certain correlation between the fluctuation trend of ONI and species co-occurrence pattern of the fish communities.

species co-occurrencecommunity assemblynull modelcommunity structurespecies pairs

刘伟辰、薛莹、张崇良、纪毓鹏、任一平、徐宾铎

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中国海洋大学水产学院,山东青岛 266003

青岛海洋科技中心,海洋渔业科学与食物产出过程功能实验室,山东青岛 266237

海州湾渔业生态系统教育部野外科学观测研究站,山东青岛 266003

物种共存 群落构建 零模型 群落结构 物种对

2025

中国水产科学
中国水产科学研究院 中国水产学会

中国水产科学

影响因子:1.206
ISSN:1005-8737
年,卷(期):2025.32(3)