大型底栖无脊椎动物对溪流中三角枫落叶分解的影响

采用复合网袋法,研究了冬季南京紫金山三角枫落叶在无干扰溪流和生态恢复溪流中的分解过程.结果表明：112 d后,三角枫落叶无灰干质量剩余率为31％～62％,分解速率符合指数衰减模型(P<0.05).在生态恢复溪流和无干扰溪流的流水生境中, 三角枫落叶的分解速率分别为0.0030 d^-1和0.0064 d^-1,静水生境中分别为0.0018 d^-1和0.0016 d^-1.流水生境中,无干扰溪流网袋内的大型底栖动物多度和生物量显著高于恢复溪流(P<0.05),而静水中无显著差异(P>0.05).无干扰溪流中的撕食者多度比例最高(70.4%),以栉水虱为主;生态恢复溪流中滤食者的多度比例最高(37.8%),以长跗摇蚊属为主.流水生境中三角枫落叶的分解速率与撕食者物种丰富度和多度相关性显著(P<0.01),而与生物量的相关性不显著(P>0.05).说明冬季溪流中撕食者的物种丰富度和多度决定三角枫落叶的分解速率.     

用河流生物指数评价秦淮河上游水质的研究

1999～2001年用D-形网半定量法采集了南京秦淮河上游21个样点的大型底栖无脊椎动物。12个底栖生物指数值的频数分布分析、Pearson相关分析和敏感性检测表明,总分类单元数、ET分类单元数、香农多样性指数、水生昆虫分类单元数和优势分类单元％最适合于秦淮河上游水质生物评价。采用5、3、1生物指数记分法统一量纲。提出了河流生物指数(RBI)概念,其值即为累加上述5个指数后的总分值,建立了河流生物指数评价秦淮河水质的标准,并对21个样点的水质进行重新评价,效果较单项生物指数如香农多样性指数评价结果更接近实际情况。     

基于大型底栖无脊椎动物完整性指数的鄱阳湖湿地生态健康评价

湿地生态健康评价对于掌握湿地的健康状况、理解人类活动干扰对其影响及实施生态预警等有重要意义。鄱阳湖对于维持其流域甚至长江中下游的生态平衡十分重要,目前尚未建立起其较完善的生态健康评价指标体系。大型底栖无脊椎动物完整性指数(benthic macroinvertebrate-based index of biotic integrity, B-IBI)是广泛应用的湿地生态健康评价方法。基于30个采样点(7个参照点,23个受损点)的大型底栖无脊椎动物采样数据,构建鄱阳湖湿地的B-IBI指数,采用自然断点法划分非常健康、健康、一般、差和极差5个健康等级标准,据此评价湿地生态健康状况。研究表明:(1)基于B-IBI指数的鄱阳湖湿地生态健康评价结果为一般;(2)就采样点B-IBI分值而言,呈现出西部健康状况优于东部的格局,其中国家级自然保护区内状况较好,而工业区、城镇、农田及河流入湖口附近状况较差;(3)B-IBI指数与前期构建的景观发展强度指数(LDI)、栖息地环境质量指数(QHEI)以及植被完整性指数(V-IBI)具有显著相关性,表明基于不同指数的评价结果较为一致。本研究构建的B-IBI指数能为鄱阳湖湿地的生态健康评价和监测提供重要方法。     

大型无脊椎动物群落指数和群落数量指数在河流水质评价中的应用

本文介绍了新西兰常用的大型无脊椎动物群落指数(MCI)和大型无脊椎动物群落数量指数(QMCI)的原理及使用方法,并利用MCI和QMCI对新西兰惠灵顿地区40条河流53个监测点进行评价.结果表明:MCI和QMCI均与河流营养指标呈极显著相关关系,可用来监测和评价水体的营养污染状况;二者快速准确地监测出惠灵顿地区河流水质总体良好,但部分河流污染严重,并分析了污染的原因.MCI与QMCI存在极显著相关关系,但MCI与营养指标间的相关关系大于QMCI,可以准确地反映出水体中营养元素的富集状况.     

典型平原河网地区底栖动物生物指数筛选及评价基准研究

2011年夏、秋季在上海市全境主要河流的83个断面进行大型底栖动物的采样, 共获取底栖动物20个分类单位(种), 其中软体动物、环节动物和节肢动物分别占50%、30% 和20%。选取常见的28个生物指数分别进行计算, 并采用非参数统计检验方法筛选出8个敏感生物指数。通过记分法对8种敏感生物指数统一量纲后, 获得数值范围为8-40的综合生物指数, 运用四分法划分了判别河道水环境质量的生物基准: 32-40, 较好(Good); 24-31, 一般(Fair); 16-23, 污染(Poor); 8-15, 严重污染(Very poor)。9个断面未发现活体生物, 定为超严重污染(Super poor)。依照生物基准比较上海市41个代表性断面近5年主要水质理化指标, 基本反映出水质理化指标的空间差异性, 该综合生物指数及判别基准也可适用于评价平原河网地区的河道水质状况。       

生物完整性指数与水生态系统健康评价

生物完整性指数是目前水生态系统健康评价中应用最广泛的一个生态指标。本文扼要介绍了生物完整性指数的概念、水生态系统健康评价的原理以及大型底栖无脊椎动物完整性指数的构建方法,介绍了生物完整性指数在水生态系统健康评价中的应用及我国开展这方面工作的建议。     

基于“OOAO原则”的罗源湾生态质量状况综合评价

由于福建沿海经济的快速发展以及近岸海域开发利用的不断升级,位于福建省东北部的罗源湾面临着越来越大的人为环境压力,包括生境的破坏、港口活动、城镇生活废水、工农业废水排放、人工养殖等.综合评价罗源湾生态质量状况,为研究区受到的人为扰动和污染强度的分级评价提供依据,在对退化的生态系统进行有效修复和管理的相关决策中起着重要的作用.以欧盟水框架指令中近岸海域生态质量状况综合评价体系为参照,结合我国的近岸海域监测项目以及收集到的资料,对该指标体系进行了调整,同时建立了罗源湾专属的生态要素和物理化学要素参考基准值,基于“One-out all-out (OOAO)”原则(即所有要素中的最低等级作为综合评价的等级)对罗源湾的生态质量状况进行了综合评价,并通过与人为环境压力分布的一致性分析,对评价结果的合理性和客观性进行验证.建立的参考基准值中,部分指标的参考基准值与国内外的相关研究或标准有着一定的差异,说明目前我国采用统一的评价标准并不合适.综合评价结果中,罗源湾9个站位中1个站位等级为“良”,其余8个站位及海域平均状况等级都为“中”,存在明显的污染和人为扰动,生态系统出现一定程度的退化.对评价结果的验证表明,除个别站位外,评价等级基本与人为环境压力一致,说明调整后的近岸海域生态质量状况综合评价指标体系、建立的罗源湾专属参考基准值以及基于“OOAO原则”的综合评价方法,能够较客观地评价研究区域的生态质量状况.     

基于B-IBI指数的温榆河生态健康评价

基于温榆河底栖动物和水质采样数据,采用底栖动物完整性指数(B-IBI)方法,进行温榆河生态健康评价,并探求河流水质与B-IBI指数的相关性。通过分布范围、判别能力以及相关性分析等,确定研究区B-IBI指标体系,包括总分类单元数、总生物量、优势分类单元个体相对丰度、敏感类群分类单元数、生物指数和粘附者个体丰度6个指标。根据参照点25%分位数确定温榆河底栖动物完整性评价标准,即B-IBI>1.821为健康,1.366—1.821为亚健康,0.910—1.366为一般,0.455—0.910为较差,0—0.455为极差。结果表明,温榆河27.3%河段处于健康状态,9.1%河段处于亚健康状态,13.6%河段处于一般状态,50%河段处于较差和极差状态。河流水质与B-IBI指数的相关系数为-0.549,表明生物指标作为水体评价的补充指标十分必要。     

应用底栖动物完整性指数B-IBI评价溪流健康

B-IBI指数是溪流生态系统健康评价常用指标之一。据安徽黄山地区溪流的33个底栖动物样点数据(11个参照点,22个受损点),对21个生物参数进行分布范围、Pearson相关性和判别能力分析,确定B-IBI指数由总分类单元数、EPT分类单元数、前3位优势分类单元%、粘附者%、敏感类群%和BI指数构成。分别用3分制、4分制和比值法统一各参数量纲,B-IBI指数值即为累加各构成指数的分值或比值。B-IBI箱线图分析表明,上述3种方法计算出的B-IBI值有较高判别能力(IQ=3),能很好地判别参照水体和受损水体,且3者之间具高相关性(r>0.90)。分别依据参照样点和所有样点B-IBI值建立健康评价标准,比较3分制、4分制和比值法对评价结果的准确性,表明用比值法统一各参数量纲并依据所有样点的B-IBI值建立的健康评价标准的准确性优于3分制和4分制法。建立了适合祁门县溪流生态系统健康评价B-IBI标准B-IBI>3.59健康,2.7～3.59亚健康,1.8～2.69一般,0.9～1.79差,B-IBI<0.9极差。祁门县21个样点的水体,14个健康,6个亚健康,1个一般。B-IBI与电导率(r=-0.62,p<0.01)和生境质量(r=0.65,p<0.01)显著相关。     

太湖水质评价中底栖动物综合生物指数的筛选及生物基准的确立

对太湖8个区域共60样点进行底栖大型无脊椎动物采样,共获得底栖动物24种,其中软体动物14种,节肢动物5种,甲壳动物5种.根据Hilsenhoff 生物指数确定了15个相对清洁的样点和45个污染样点,然后进行21种生物指数的综合评估,结果表明,总分类单元数、(甲壳动物 软体动物)分类单元数、%(甲壳动物 软体动物)、%腹足纲、Goodnight-Whitley指数、Hilsenhoff 生物指数和%直接收集者等7个底栖动物生物指数可以用作判别太湖水质的敏感生物指数.通过5, 3, 1记分法对6种生物指数统一量纲后,获得变化范围为7～35的综合生物指数,运用四分法划分了太湖水质判别的生物基准:7～14很差,15～21差,22～28一般,29～35好,并对60个样点进行重新记分,获得了太湖水质的基本生态分区现状,太湖的东南区属水质较好的区域,而西北区属水质较差的区域.该水质生物基准基本适合评价太湖不同区域的水质状况.     

福建罗源湾潮间带大型底栖动物的次级生产力

根据2009年罗源湾潮间带大型底栖动物调查资料, 应用Brey公式对大型底栖动物的次级生产力、生产量/生物量系数（P/B)及其空间分布进行估算.结果表明： 该区域大型底栖动物的年次级生产力为18.58 g AFDM(无灰干质量)·m^-2·a^-1, P/B系数为0.97; 潮间带上部互花米草盐沼区域的年次级生产力（8.97 g AFDM·m^-2·a^-1）低于下部光滩区域（28.19 g AFDM·m^-2·a^-1）.与20世纪80年代末互花米草生长前相比, 潮间带的年次级生产力约增加4倍.栖息在光滩下部区域的凸壳肌蛤对次级生产力的贡献达66.4%.若除去该蛤拓殖因素, 则盐沼区域的次级生产力显著高于光滩区域, 并且25年来次级生产力的变化较小.互花米草加速了细颗粒物质的沉降, 为蛤类拓殖提供了重要条件; 凸壳肌蛤的摄食活动可增加沉积物中叶绿素a含量.大型底栖动物的次级生产力与沉积物中叶绿素a和有机碳含量显著相关.盐沼植物对潮间带生态系统的影响涉及物理和生物等多种因素     

不同底栖生物指数在福建省近岸海域的适用性

将3个底栖生物指数AZTI海洋生物指数(AMBI)、多毛类机会种和端足目动物指数(BOPA)、底栖动物多毛类和端足目指数(BPA)和Shannon多样性指数(H)应用于福建省近岸海域4个典型海湾和1个河口的生态质量评价,评估这4个指数在研究区的适用性.结果表明: 4个指数的评价结果差异较大,评价等级完全相同的站位仅有4个,占总评价站数的8.7%;AMBI将76.1%的站位评价为等级“良”,BOPA将89.1%的站位评价为等级“优”,BPA和H的评价结果等级梯度变化明显;对于海湾,BOPA、BPA和AMBI与营养盐因子活性磷酸盐(DIP)和无机氮(DIN)无显著相关性,不能响应研究区的富营养化压力;而H与DIN呈显著负相关.对于河口,BOPA、BPA和AMBI与DIP和DIN均呈显著正相关,且随着与入海口距离的减小,7个断面生态质量评价等级没有明显变化,不能识别河口高强度的富营养化压力,评价结果偏高;而H与DIN呈显著负相关,且随着与入海口距离的减小,7个断面生态质量评价等级呈现提高的趋势.总体上,BOPA、BPA和AMBI在福建近岸海域的适用性较低,而H更合适该研究区,能够响应研究区主要的环境压力.     

基于景观格局的胶州湾大沽河口湿地生态安全

以胶州湾大沽河口湿地为研究区,利用TM遥感影像为数据源,运用ENVI 4.4软件在GIS技术支持下,提取1986、2002和2010年研究区自然湿地、人工湿地、非湿地3大景观类型的空间信息;运用景观格局指数原理和方法构建生态安全指数,定量分析研究区景观动态变化,阐明景观格局变化下,生态安全状况及驱动机制.结果表明:1986-2010年,研究区在自然与人为双重干扰下陆地面积萎缩,斑块数增多,优势景观消失,景观趋于复杂化、破碎化、分离化;1986-2010年,人类活动对景观干扰愈加明显,景观干扰指数与生态安全指数存在负相关性,研究区各景观损失度上升,生态安全指数下降,其中以自然湿地中河流与河口湿地和芦苇湿地景观的恶化程度最大.基于面积因素构建的各景观生态安全度依次为:非湿地＞人工湿地＞自然湿地;新建并发育的人工林景观和新整合的少海东湖人工湿地公园,在一定程度上弥补了研究区的生态损失,缓和了生态保护与经济发展之间的矛盾,探索出一条湿地保护新型道路.     

基于可变模糊评价模型的东山湾生态系统健康评价

根据东山湾海域环境污染现状和生态系统的特点,从水质环境、沉积物环境、生物残毒以及海洋生物方面构建了东山湾生态系统健康评价指标体系,提出了基于可变模糊评价模型的海湾生态系统健康评价方法,并利用该方法对东山湾生态系统健康状况进行了评价。结果表明:东山湾春季生态系统健康指数为2.36,秋季为2.44,均处于"良与中之间,偏良"水平,春季略优于秋季。影响东山湾生态系统健康状况的主要负面指标因子为鱼卵及仔鱼密度(春秋季健康指数均值为4.95)、营养水平(秋季健康指数为4.47)和底栖生物生物量(春季健康指数为3.59)。实例研究表明该方法通过准则参数α和距离参数p的不同组合变化,以线性与非线性相结合,能够较客观系统、标准量化地评价海湾生态系统健康状况的优劣,。     

A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

Diatoms are widely used in stream bioassessment due to their broad distribution, extraordinary variability and the ability to integrate changes in water quality. The indices Specific Polluosensitivity Index (SPI), standardized Biological Diatom Index (BDI), European Economic Community Index (CEC) and Generic Diatom Index (GDI), originally developed in France, are often applied in Portugal to evaluate stream ecological quality based on diatom communities. Alternatively, predictive models resulting from the comparison between the communities of the study site and those of a set of reference sites representing undisturbed or the best available conditions of a given region have been proposed as valuable methods for evaluating the ecological status of streams. In the present study, we applied the four above-mentioned widely used diatom-based indices (SPI, BDI, CEC and GDI) and a predictive model (MoDi) to 54 sites located in central Portugal to assess the sensitivity of the five methods to a range of anthropogenic disturbances cumulatively affecting streams and represented by 27 variables (e.g., organic enrichment, changes in morphology of the channels, integrity of the riparian corridor, land use in the catchment). The results were analyzed comparatively through Spearman correlations, Boxplots and Stepwise Discriminant Analysis. This study confirmed the sensitivity of diatoms to organic and nutrient contamination (showed by the MoDi, BDI, CEC and SPI) and revealed the importance of suspended solids (through the MoDi, GDI, and SPI). The relevance of modifications in land use to diatoms was shown by all methods applied, except for the GDI. The MoDI also revealed the importance of changes in the structure and morphology of the reach and the channel, like the construction of artificial walls or embankments and connectivity; the BDI also related its assessments with the riparian zone integrity; and the SPI was not useful in detecting morphological pressures. The GDI produced the most divergent assessments and was less effective in revealing the anthropogenic disturbances. The use of the predictive model (MoDi) is therefore a good method for the assessment of streams in central Portugal because it expresses a great diversity of quantitative and qualitative changes in freshwater systems reflected in the structure (species richness and abundance) of diatom communities.     

Study on coastal wetland habitat quality evaluation in Quanzhou Bay, Fujian, China

Coastal wetland is located in the active interface between land and sea, which is one of the richest biodiversity habitats, while it is seriously disturbed and destroyed by anthropogenic activities in both terrestrial and marine parts. Habitat serves as the basis for organism survival, providing food, shelter, water, space and so on, and habitat degradation and loss caused by intense anthropogenic activities is widely considered as the main reason for biodiversity decline and loss. However, there is still limited study on the evaluating methods of coastal wetland habitats, especially for those in a large scale. In this study, methods for evaluating coastal wetland habitat quality, including selecting indicators, setting value assignment criteria and weights were discussed systematically, a method of coastal wetland habitat quality evaluation was established, and the habitat quality in Quanzhou Bay was also evaluated as a case study. The present study provided a new concept and method to assess quantitatively habitat status, indicate the ecological status and its change, and also reflect and predict indirectly the ecological impact of human activities.Referring to the habitat evaluation system (HES) developed by United States in the mid 1970s, the evaluation method was established by thorough analysis of the characteristics of coastal wetland. The habitat indicators were selected in terms of three habitat factors as follows: chemical factors, including dissolved oxygen (DO), phosphate in seawater, sulfide in sediment, and regional priority pollutants; physical factors, including landscape naturalness index and coastline artificialization index; biological factors, including invasive species risk and area ratio of invasive alien species. Weights were established by Analytic Hierarchy Process, combined with several-round expert evaluation. Evaluation criteria providing principles for value assignment of each indicator, were established referring to previous standards and related researches. The final result for assessing habitat quality was indicated and stated by the value of Habitat Quality Index (HQI), which is the weighted sum of each indicator. Habitat quality increased with the HQI value, with value ranging from 0 to 100.The established evaluating method was applied to assess the habitat quality of Quanzhou Bay, located in the southeast coastal zone of Fujian Province, with a total area of 136.4 km², which is an important bay in Fujian. Quanzhou Bay wetland is a typical coastal wetland with diverse wetland habitats, including mangrove, estuary, island, aquaculture ponds, salt pan, shallow sea, mud flat and so on. The Quanzhou Bay is now seriously suffering environmental problems, e.g. eutrophication due to great discharge of domestic, agricultural and industrial wastewater, rapid urbanization and reclamation resulting in decreased wetland area, and the invasion of alien species. The evaluation results showed that the habitat quality index value was 68.13, 57.99 and 51.23 in 1989, 2002 and 2008, respectively, indicating that the habitat degraded gradually. The five major factors that led to decline of HQI value were phosphate in seawater, lead in sediment, landscape naturalness index and coastline artificialization index and area ratio of invasive alien species. Therefore, in order to improve and maintain habitat quality, it is urgent to control pollution, large-scale reclamation and Spartina invasion in Quzhou Bay.     

Study on coastal wetland habitat quality evaluation in Quanzhou Bay, Fujian, China

Coastal wetland is located in the active interface between land and sea, which is one of the richest biodiversity habitats, while it is seriously disturbed and destroyed by anthropogenic activities in both terrestrial and marine parts. Habitat serves as the basis for organism survival, providing food, shelter, water, space and so on, and habitat degradation and loss caused by intense anthropogenic activities is widely considered as the main reason for biodiversity decline and loss. However, there is still limited study on the evaluating methods of coastal wetland habitats, especially for those in a large scale. In this study, methods for evaluating coastal wetland habitat quality, including selecting indicators, setting value assignment criteria and weights were discussed systematically, a method of coastal wetland habitat quality evaluation was established, and the habitat quality in Quanzhou Bay was also evaluated as a case study. The present study provided a new concept and method to assess quantitatively habitat status, indicate the ecological status and its change, and also reflect and predict indirectly the ecological impact of human activities.
Referring to the habitat evaluation system (HES) developed by United States in the mid 1970s, the evaluation method was established by thorough analysis of the characteristics of coastal wetland. The habitat indicators were selected in terms of three habitat factors as follows: chemical factors, including dissolved oxygen (DO), phosphate in seawater, sulfide in sediment, and regional priority pollutants; physical factors, including landscape naturalness index and coastline artificialization index; biological factors, including invasive species risk and area ratio of invasive alien species. Weights were established by Analytic Hierarchy Process, combined with several-round expert evaluation. Evaluation criteria providing principles for value assignment of each indicator, were established referring to previous standards and related researches. The final result for assessing habitat quality was indicated and stated by the value of Habitat Quality Index (HQI), which is the weighted sum of each indicator. Habitat quality increased with the HQI value, with value ranging from 0 to 100.
The established evaluating method was applied to assess the habitat quality of Quanzhou Bay, located in the southeast coastal zone of Fujian Province, with a total area of 136.4 km², which is an important bay in Fujian. Quanzhou Bay wetland is a typical coastal wetland with diverse wetland habitats, including mangrove, estuary, island, aquaculture ponds, salt pan, shallow sea, mud flat and so on. The Quanzhou Bay is now seriously suffering environmental problems, e.g. eutrophication due to great discharge of domestic, agricultural and industrial wastewater, rapid urbanization and reclamation resulting in decreased wetland area, and the invasion of alien species. The evaluation results showed that the habitat quality index value was 68.13, 57.99 and 51.23 in 1989, 2002 and 2008, respectively, indicating that the habitat degraded gradually. The five major factors that led to decline of HQI value were phosphate in seawater, lead in sediment, landscape naturalness index and coastline artificialization index and area ratio of invasive alien species. Therefore, in order to improve and maintain habitat quality, it is urgent to control pollution, large-scale reclamation and Spartina invasion in Quzhou Bay.     

间作对桑树和谷子生长和光合日变化的影响

以桑树和谷子为研究材料,探讨了大田条件下,桑树-谷子间作对桑树和谷子的干物质生产、土地利用率和光合日变化的影响.结果表明：桑树-谷子间作条件下,间作桑树的株高、地茎、根长和枝条数分别比单作桑树增加了6.0%、13.7%、6.8%和14.8%,且间作桑树的产叶量比单作桑树增加了31.3%;间作谷子与单作比较,其株高和根长的变化不大.桑树-谷子间作增加了土地当量比,提高了土地利用率.单作、间作桑树和谷子叶片在12:00时均表现出明显的光合午休现象,且单作桑树的光合午休现象比间作桑树严重.桑树-谷子间作提高了中午时桑树叶片气孔导度和水分利用率,增加了桑树光合碳同化能力,抑制了桑树叶片实际光化学效率、电子传递速率和最大光化学效率的下降,从而减缓了桑树的“光合午休”现象.桑树 谷子间作能明显提高桑树叶片的光合生产能力.     

福建冷浸田土壤质量评价因子的最小数据集

江南山区中低产冷浸田分布广泛,其改良利用对促进粮食增产意义重大.本研究通过比较福建省17对典型冷浸田与同一微地貌单元内非冷浸田表层土壤的41项物理、化学与生物指标,系统分析了冷浸田与非冷浸田之间各指标差异及其产生的原因,并利用主成分分析等方法构建冷浸田土壤质量评价因子最小数据集.结果表明:与非冷浸田相比,冷浸田土壤总有机质高31.7％,表征活性有机质的微生物生物量C降低37.8％;Fe2+高177.0％,速效磷、钾分别降低52.3％和22.8％;过氧化氢酶和转化酶分别高58.3％和22.1％,磷酸酶、硝酸还原酶分别降低47.8％和66.6％,微生物区系数量降低29.8％～46.0％;物理性砂粒含量高8.0％,浸水容重降低25.8％.冷浸田与非冷浸田之间表土有28项属性指标呈现显著差异.用因子分析方法从28项有显著差异的指标中归纳出累计贡献率达78.5％并能分别反映土壤生化、活性有机N、还原性障碍、物理与化学养分特征的5个主成分,结合相关分析模型和专家经验法建立了包括C/N、细菌、微生物生物量N、还原性物质总量、物理性砂粒、全磷6项因子的冷浸田土壤质量评价因子最小数据集.     

应用鱼类完整性评价体系评价辽河流域健康

根据2009年8月辽河流域33个站点采集的鱼类数据(参照点8个,观测点25个),通过参数指标值分布范围、相关关系和判别能力分析,从23个侯选指标中筛选出了辽河流域的鱼类完整性指数(F-IBI)构成指标体系。该体系包括鱼类总种类数、Shannon-Wiener多样性指数、中上层鱼类百分比、底层鱼类百分比、鱼类个体总数、杂食性鱼类百分比、耐受性鱼类百分比、敏感性鱼类百分比和产粘性卵鱼类百分比共9个生物参数。分别采用1、3、5赋值法和比值法计算各站点的IBI分值,并根据参照点IBI分值的25%分位数值确定健康等级标准,对小于25%分位数值的分布范围进行3等分,提出了辽河流域河流鱼类完整性评价标准,分为健康、一般、差、较差4个等级。两种方法评价结果虽不完全相同,但趋势基本一致。Pearson相关分析表明IBI值与生境状况、水质状况、栖息地环境质量显著相关,其中与海拔、栖息地评分呈显著正相关,与CODCr、氯化物、总溶解颗粒物、含沙量、硬度、电导率呈显著负相关。