辽河流域大型底栖动物耐污值研究

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 辽河流域大型底栖动物耐污值 DOI: 10.5846/stxb201311082699 作者: 作者单位: 中国环境科学研究院 环境基准与风险评估国家重点实验室;中国环境科学研究院 流域水生态研究室,中国环境科学研究院 环境基准与风险评估国家重点实验室;中国环境科学研究院 流域水生态研究室,中国环境科学研究院 环境基准与风险评估国家重点实验室;中国环境科学研究院 流域水生态研究室,中国环境科学研究院 环境基准与风险评估国家重点实验室;中国环境科学研究院 流域水生态研究室,中国水利水电科学研究院 水环境研究所,中国环境科学研究院 环境基准与风险评估国家重点实验室;中国环境科学研究院 流域水生态研究室 作者简介: 通讯作者: 中图分类号: 基金项目: 国家水体污染控制与治理科技重大专项(2012ZX07501-001-04); 中欧环境可持续发展计划(DCI-ASIE/2013/323-261); 国家自然科学基金(2010KYYW06); 国家自然科学基金(41401066) Tolerance values of macroinvertebrate taxa in Liao River basin Author: Affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;Laboratory of Riverine Ecological Conservation and Technology,Chinese Research Academy of Environmental Sciences,State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;Laboratory of Riverine Ecological Conservation and Technology,Chinese Research Academy of Environmental Sciences,State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;Laboratory of Riverine Ecological Conservation and Technology,Chinese Research Academy of Environmental Sciences,State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;Laboratory of Riverine Ecological Conservation and Technology,Chinese Research Academy of Environmental Sciences,Department of Water Environment,China Institute of Water Resources and Hydropower Research,State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;Laboratory of Riverine Ecological Conservation and Technology,Chinese Research Academy of Environmental Sciences Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:大型底栖动物耐污值是构建河流生物评价指标的基础。受自然地理区域影响,同一分类单元的耐污值会出现地域上的差异,因此计算和修订适用于某一研究区域的耐污值是准确评价该区域河流健康状况的前提。目前尚未有针对我国北方河流大型底栖动物耐污值计算和修订的报道,基于2009年春季、秋季和2010年夏季在辽河流域308个样点的大型底栖动物数据,采用Simpson多样性指数的水质分级标准对所有样点的水质等级进行了划分,并利用累积分位数法计算获得了辽河流域大型底栖动物195个分类单元的耐污值;同时参考专家经验和相关文献核定了其余71个分类单元的耐污值。依据耐污值敏感特征划分标准,辽河流域大型底栖动物优势类群以敏感种和一般耐污种为主,两者几乎占到总分类单元数的84%,耐污类群种类较少,仅占16%。其中敏感类群有齿蛉科Corydalidae,襀科Perlidae,原石蛾科Rhyacophilidae,细裳蜉科Leptophlebiidae等;一般耐污类群有纹石蛾科Hydropsychidae,四节蜉科Baetidae,扁蜷螺科Planorbidae等;耐污类群有颤蚓科Tubificidae、石蛭科Erpobdellidae等。 Abstract:Tolerance represents the relative capacity of aquatic organisms to survive and reproduce under different levels of environmental stress. Tolerance values (TVs) of macroinvertebrates are broadly used for calculating metrics applied in bioassessment. Variability among TVs may be related to regional differences in macroinvertebrate sensitivity to pollution; whether the calculations and amendments of TVs are appropriate for one region is the basis for accurate evaluation of river health condition. Two methods, namely, expert opinion and statistical analysis, have been used to derive the TVs of macroinvertebrate taxa. The TVs currently used in bioassessment of northern rivers in China were acquired from relevant literature and expert opinion. The bioassessment results, however, will be more accurate if the TVs are derived from statistical analysis. The objective of the current study was to derive the TVs appropriate for macroinvertebrate taxa in northeastern rivers in China. Macroinvertebrate data from 308 samples were collected in spring and autumn in 2009 and summer in 2010 in the Liao River basin. Using the revised Simpson index, we assigned the water quality into five categories as: ≥ 10, excellent; ≥ 6, good; ≥ 3, good-fair; ≥ 2, fair; and < 2, poor. Different scores were marked to different water quality: excellent, 1; good, 2; good-fair, 3; fair, 4 and poor, 5. Macroinvertebrates were grouped and coded based on abundance at each site: < 1 ind./sample = 0; 1-2 ind./sample = 1; 3-9 ind./sample = 3; and ≥ 10 ind./sample = 10. The average abundance values for each taxon were calculated for each of the five water quality classes. The average abundance values were converted into a cumulative percentile: the 75th percentile value was used for a taxon that had > 10 records and the 50th percentile value was used for a taxon that had 5-10 records. This yielded preliminary tolerance values of 0.0-4.5, which were transformed to final tolerance values on a 0-10 scale. A total of 195 macroinvertebrate taxa TVs were calculated, including one genus in one family for each Megaloptera, Amphipoda, Decapoda, Basommatophora, Unionoida, Tubificida, Hirudinea, Turbellaria, and Arachnida; one family of Collembola; two families (including one taxon at genus-level) of Hemiptera; five genera in three families of Plecoptera; five genera in four families of Odonata; five genera in four families of Mesogastropoda; six families (including five taxa at genus-level) of Coleoptera; 13 genera in 10 families of Trichoptera; 17 genera in eight families of Ephemeroptera; and 18 genera and three sub-families in 12 families of Diptera. The other 71 TVs were derived from expert opinion and relevant literature. TVs were classified according to sensitivity as: TV ≤ 3, intolerant; 3 < TV < 7, intermediate; and TV ≥ 7, tolerant. The dominant macroinvertebrate families in the Liao River basin were divided into the three groups as follows: intolerant group, including Corydalidae (2.1), Perlidae (1.3-2.1), Rhyacophilidae (0.6-3.0), and Leptophlebiidae (0.4-1.7); intermediate group, including Hydropsychidae (3.7-5.3), Baetidae (3.4-6.2), and Planorbidae (3.7-5.5); and tolerant group, including Tubificidae (5.0-9.9) and Erpobdellidae (7.8-8.6). The intolerant and intermediate groups comprised nearly 84% of the total taxa, while the tolerant group comprised only 16% of the total taxa. We suggest that TVs can be used to assess the water quality of streams and rivers in northern China. 参考文献 相似文献 引证文献