Department of biology and ecology, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia.
Faculty of biology, University of Belgrade, 11000 Belgrade, Serbia.
Sci Total Environ. 2024 Dec 10;955:177128. doi: 10.1016/j.scitotenv.2024.177128. Epub 2024 Oct 21.
The expansion of fish farming globally, driven by rising demand for fish as a food source, has raised substantial environmental concerns due to its impact on aquatic ecosystems. This study investigates the effects of fish farming effluents on taxonomic and functional diversity of macroinvertebrate community and test how taxonomic resolution impacts their effectiveness as pollution indicators. Macroinvertebrate samples were collected from seven trout farms, with sampling sites categorized based on proximity to farm effluents. Results indicate that fish farming effluents significantly alter macroinvertebrate communities, with observable changes in both taxonomic and functional metrics. Although traditional taxonomic metrics revealed differences along the pollution gradient, functional diversity measures provided more sensitive indicators of ecological changes. Functional traits, even at coarse taxonomic resolutions, better reflected shifts in ecological processes than taxonomic diversity alone. The study supports integrating both taxonomic and functional diversity measures in river restoration and management practices to optimize pollution detection and ecological assessment. Combining taxonomic and functional approaches in bioassessment is recommended for better evaluation of water quality and ecosystem health. Functional attributes can simplify routine monitoring, especially for poorly known macroinvertebrate taxa. Nevertheless, metrics related to chironomids showed significant changes along the pollution gradient and were useful for detecting fish farm effluents. Chironomid data at both fine and coarse taxonomic levels revealed the impact of pollution effectively.
全球水产养殖的扩张,由于人们对鱼类作为食物来源的需求不断增加,导致水产养殖对水生态系统的影响引起了人们对环境的严重关注。本研究调查了水产养殖废水对大型底栖无脊椎动物群落分类和功能多样性的影响,并测试了分类分辨率如何影响其作为污染指标的有效性。从七个鳟鱼养殖场采集了大型底栖无脊椎动物样本,采样点根据与养殖场废水的接近程度进行分类。结果表明,水产养殖废水显著改变了大型底栖无脊椎动物群落,无论是在分类还是功能指标上都发生了明显变化。尽管传统的分类学指标显示了沿污染梯度的差异,但功能多样性措施提供了对生态变化更敏感的指标。功能特征,即使在粗分类分辨率下,也比分类多样性更能反映生态过程的变化。该研究支持在河流恢复和管理实践中整合分类和功能多样性措施,以优化污染检测和生态评估。建议在生物评估中结合分类和功能方法,以更好地评估水质和生态系统健康。功能属性可以简化常规监测,特别是对于了解甚少的大型底栖无脊椎动物类群。然而,与摇蚊相关的指标沿污染梯度显示出显著变化,可用于检测水产养殖废水。在细分类和粗分类水平上的摇蚊数据都有效地揭示了污染的影响。