raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (8): 198-207.DOI: 10.11988/ckyyb.20240686

• 重大引调水工程基础理论与关键技术研究专栏 • 上一篇    下一篇

河岸带土地利用驱动下受生态补水河流鱼类多样性格局

刘晗1,2(), 李鲁丹1,2, 郭伟杰1,2, 乔强龙1,2, 贡丹丹1,2, 杜琦1,2, 李航1,2, 赵伟华1,2()   

  1. 1 raybet体育在线 流域水环境研究所,武汉 430010
    2 raybet体育在线 流域水资源与生态环境科学湖北省重点实验室,武汉 430010
  • 收稿日期:2024-07-01 修回日期:2024-11-17 出版日期:2025-08-01 发布日期:2025-08-01
  • 通信作者:
    赵伟华(1982-),男,陕西扶风人,正高级工程师,博士,主要研究方向为河流生态学、河湖生态修复。E-mail:
  • 作者简介:

    刘 晗(1994-),男,湖北监利人,工程师,博士,主要研究方向为鱼类生态学。E-mail:

  • 基金资助:
    中央级公益性科研院所基本科研业务费专项(CKSF2023300/SH)

Fish Diversity Patterns in Rivers Receiving Ecological Water Supplement Driven by Riparian Land Use

LIU Han1,2(), LI Lu-dan1,2, GUO Wei-jie1,2, QIAO Qiang-long1,2, GONG Dan-dan1,2, DU Qi1,2, LI Hang1,2, ZHAO Wei-hua1,2()   

  1. 1 Basin Water Environment Department,Changjiang River Scientific Research Institute,Wuhan 430010,China
    2 Key Laboratory of Basin Water Resource and Eco-environmental Science in Hubei Province, Changjiang River Scientific Research Institute,Wuhan 430010, China
  • Received:2024-07-01 Revised:2024-11-17 Published:2025-08-01 Online:2025-08-01

摘要: 为探究华北地区受生态补水河流鱼类群落多样性的环境驱动机制,于2020—2022年生态补水期间以2个受补水水系(子牙河水系、白洋淀水系)为研究区域,使用多元统计方法比较不同生态补水年度间鱼类群落及多样性的差异,并探讨了驱动鱼类多样性变异的关键河岸带土地利用因子。结果显示:华北地区受生态补水河流中鱼类物种数与多样性指数无显著变化,鱼类种类组成发生了显著的变化,喜流水型、清洁型的鱼类种群占比逐年上升;鱼类群落格局与3个维度的多样性指数年际变化均不显著;多元回归线性模型分析结果显示建筑用地的增加对鱼类多样性产生了显著的负面影响,而湿地、草地和水域面积占比则与鱼类多样性呈显著正相关;不同缓冲区大小内土地利用类型对鱼类多样性指数的解释率存在差异。研究成果有助于理解鱼类多样性对受生态补水河流沿岸带不同土地利用类型的响应特征,为受补水河流制定有效生态保护和管理提供科学依据。

关键词: 河岸带土地利用, 鱼类群落, 多维多样性, 时空格局, 生态补水

Abstract:

[Objectives] This study aims to: (1) elucidate the spatiotemporal dynamics of fish communities and multi-dimensional diversity (species, functional, taxonomic) in ecological water supplement rivers of North China; and (2) determine the mechanistic effects of riparian land use across varying buffer sizes (0.5 km, 1 km, 2 km, 5 km) on these diversity patterns. The research focused on two major water-supplemented systems—the Ziya River Basin and Baiyangdian Lake Basin—during the ecological water supplement period from 2020 to 2022. [Methods] Field surveys were conducted annually during the water supplement period. Fishes were collected using standardized multi-mesh gillnets and traps, identified to species level, and quantified for abundance and biomass. Species functional traits (feeding, locomotion, predator avoidance, trophic level, reproduction) were compiled following Villéger et al., primarily sourced from FishBase and literature. Taxonomic diversity metrics were calculated based on Linnaean hierarchies (species to class). Riparian land use types (built area, wetland, trees, crop, water, bare ground, and rangeland) within four buffer zones (0.5 km, 1 km, 2 km, 5 km) were extracted from ESRI’s global 10-m resolution land cover data. Statistical analyses included: Analysis of Variance (ANOVA) and Permutational Multivariate Analysis of Variance (PERMANOVA) to test interannual differences; Non-metric Multidimensional Scaling (NMDS) to visualize community structure; Pearson correlation analysis to examine relationships among diversity indices; and Multiple Linear Regression (MLR) models to quantify the driving effects of riparian land use on fish diversity. [Results] A total of 2,720 fish individuals, belonging to 40 species, 12 families across 6 orders, were recorded during the three-year field survey. Species richness (26 species in 2020, 27 in 2021, 26 in 2022; ANOVA, p>0.05) and diversity indices (Shannon, Margalef, Pielou) showed no significant interannual changes. However, significant shifts in species composition were observed: rheophilic, clean-water indicator species (e.g., Opsariichthys bidens, Zacco platypus) increased in relative abundance from 7.3% (2020) to 12.6% (2022), while pollution-tolerant generalists (e.g., Carassius auratus) remained dominant but declined from 22.38% to 17.14%. NMDS and PERMANOVA confirmed no significant interannual differences in overall community structure. Multi-dimensional diversity indices (functional:FRic,FDiv,FDis,FEve;taxonomic: Delta, Delta*, Delta+, Lambda+) also exhibited no significant temporal trends. Pearson correlations revealed strong positive relationships among species diversity indices (e.g., Richness vs. Shannon: r=0.91) and showed that functional dispersion (FDis) was significantly positively correlated with all diversity dimensions (r=0.32-0.64). Built area exerted significant negative effects on most diversity indices. Wetland, rangeland, and water positively correlated with diversity. Buffer size significantly influenced explanatory rate: Riparian land use explained 7.3% to 28.3% of the variation in diversity indices. Effects were strongest on functional and species diversity within smaller buffers (0.5-1 km; e.g., 28.3% explanation for Shannon within 0.5 km buffer), >2 km buffers, cropland and bare ground significantly reduced functional diversity (FRic and FDiv; p<0.05), while larger buffers (5 km) showed higher explanatory power for taxonomic diversity metrics (11.9% explanation for Delta). Functional dispersion (FDis) and taxonomic diversity (Delta) correlating significantly with all diversity dimensions (r=0.36-0.90; p<0.05) and outperforming species richness in detecting environmental responses. [Conclusions] Although overall diversity metrics showed no significant changes, the increase in sensitive rheophilic fish species indicates improved water quality following ecological water supplementation. Riparian land use, particularly built area expansion, significantly reduced multi-dimensional fish diversity, whereas wetlands, rangeland, and water enhanced it. Land use impacts exhibited scale dependence: near-shore buffers (0.5-1 km) dominated functional and species diversity changes, while larger-scale land use (5 km) primarily influenced taxonomic diversity. This underscores the need for scale-targeted management measures. Furthermore, functional dispersion (FDis) and taxonomic diversity (Delta) proved more sensitive indicators of community changes than species richness alone, recommending their integration into future monitoring frameworks. These findings provide a scientific basis for prioritizing conservation targets and formulating management strategies in water-supplemented river restoration.

Key words: riparian land use, fish community, multi-dimensional diversity, spatiotemporal patterns, ecological water supplement

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