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王孟, 王银肖, 谭慧敏, 王敏, 穆淑梅, 康现江, 陈咏霞. 海河流域拒马河鱼类群落结构特征及其与环境因子的关系[J]. 水生生物学报, 2023, 47(5): 836-850. DOI: 10.7541/2023.2022.0034
引用本文: 王孟, 王银肖, 谭慧敏, 王敏, 穆淑梅, 康现江, 陈咏霞. 海河流域拒马河鱼类群落结构特征及其与环境因子的关系[J]. 水生生物学报, 2023, 47(5): 836-850. DOI: 10.7541/2023.2022.0034
WANG Meng, WANG Yin-Xiao, TAN Hui-Min, WANG Min, MU Shu-Mei, Kang Xian-Jiang, CHEN Yong-Xia. FISH COMMUNITY STRUCTURE AND ITS RELATIONSHIP WITH ENVIRONMENTAL FACTORS IN JUMA RIVER IN HAIHE RIVER BASIN[J]. ACTA HYDROBIOLOGICA SINICA, 2023, 47(5): 836-850. DOI: 10.7541/2023.2022.0034
Citation: WANG Meng, WANG Yin-Xiao, TAN Hui-Min, WANG Min, MU Shu-Mei, Kang Xian-Jiang, CHEN Yong-Xia. FISH COMMUNITY STRUCTURE AND ITS RELATIONSHIP WITH ENVIRONMENTAL FACTORS IN JUMA RIVER IN HAIHE RIVER BASIN[J]. ACTA HYDROBIOLOGICA SINICA, 2023, 47(5): 836-850. DOI: 10.7541/2023.2022.0034

海河流域拒马河鱼类群落结构特征及其与环境因子的关系

FISH COMMUNITY STRUCTURE AND ITS RELATIONSHIP WITH ENVIRONMENTAL FACTORS IN JUMA RIVER IN HAIHE RIVER BASIN

  • 摘要: 为了解拒马河鱼类时空分布及影响因子, 基于2019—2021在拒马河的6次季节性鱼类调查, 分析了拒马河鱼类群落结构及其与环境因子的关系。结果显示: 共采集37种鱼类, 隶属5目11科, 鲤形目最多, 占总种数的64.86%。相对重要指数(Index of relative importance, IRI>)显示, IRI>≥500的优势种鱼类有10种, 以鲫Carassius auratus Linnaeus、麦穗鱼Pseudorasbora parva Temminck & Schlegel、黑鳍鳈Sarcochilichthys nigripinnis Günther和宽鳍鱲Zacco platypus Temminck & Schlegel为主。单因素方差分析(ANOVA)表明, 春、夏、秋季鱼类群落的个体数(N)、物种数(S)、Shannon-Wiener多样性指数(H')和Margalef丰富度指数(DMa)存在显著差异, Pielou均匀度指数(J')无显著差异。SNK多重比较检验(Student-Newman-Keuls)显示个体数、种类数以2019年5月(春季)最多, Shannon-Wiener多样性指数、Margalef丰富度指数以2019年8月(夏季)最高。等级聚类分析(Cluster)和非参数多变量排序(NMDS)分析显示, 拒马河鱼类群落在空间上分为3组, 上游S1拒马河源头和S2刁江汇为组Ⅰ, 中游S3紫荆关大桥和S4清凉涧为组Ⅱ, 中下游自S5小丰口桥至S15龙安大桥为组Ⅲ。丰度生物量比较曲线(ABC曲线)分析显示, 2020年夏季鱼类群落结构稳定未受干扰(W=0.064), 其余月份均受中度干扰(W<−0.007)。冗余分析(RDA)显示, 海拔、水温和pH为影响拒马河鱼类群落结构时空变化的主要环境因子。研究可为拒马河鱼类资源保护和生态修复提供依据。

     

    Abstract: In order to understand the fish community structure in Juma River and its relationship with the environmental factors, 15 sampling stations in Juma River were surveyed in May, August and October, 2019, August and October, 2020 and May, 2021. A total of 37 fish were collected, belonging to 11 families and 5 orders. Cypriniformes were the most, accounting for 64.86% of the total species captured. Ecologically, the fish community in Juma River is dominated by demersal and omnivores species and there are fewer carnivorous fish. Compared with the historical data, the number of fish species has decreased. Index Relative Importance (IRI) shows that 10 species had IRI≥500, Carassius auratus, Pseudorasbora parva, Zacco platypus were the dominant species. C. auratus, P. parva and Micropercops swinhonis were collected in all seasons and all sampling sites. One-way analysis of variance (ANOVA) showed that the number of individuals (N), species (S), Shannon-Wiener diversity index (H') and Margalef richness index (DMa) of the fish community had significant differences between different seasons, Pielou evenness index (J') showed no significant differences. SNK multiple comparison test showed that the number of individuals and species was the highest in May 2019, Shannon-Wiener diversity index (H') and Margalef richness index (DMa) was the highest in August 2019. The numbers of individuals showed significant differences between different altitudes, an average of 143.91 fishes can be collected at sampling station above 500 meters and only 48.19 fishes can be collected at sampling station below 500 meters. Cluster analysis and Non-metric Multidimensional Scaling (NMDS) divides the source of the Juma River and the Diaojianghui into group Ⅰ, the Zijingguan Bridge and Qingliangjian into group Ⅱ, remaining sites are divided into group Ⅲ. The abundance biomass comparison curve (ABC) showed that the fish community was undisturbed only in August 2020 and was moderately disturbed in the remaining months. Redundancy analysis (RDA) showed that altitude, chlorophyll a, and temperature were the main environmental factors affecting the fish community in Juma River. Altitude is the environmental factor that greatestly affects the structure of fish communities in the Juma River, it has a great influence on Triplophysa cuneicephala, Triplophysa dalaica and Rhynchocypris oxycephalus. Chlorophyll a was highly correlated with the density of phytoplankton and it has a great influence on Micropercops swinhonis, Zacco platypus and other omnivorous fish.

     

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