分类多样性在大型底栖动物生态学方面的应用:以黄海底栖动物为例

根据文献资料,系统整理了黄海大型底栖动物物种名录,并得到了其平均分类差异指数和分类差异变异指数的理论平均值及95%置信区间漏斗图。结果表明,黄海共有大型底栖动物1,360种,分属于17门35纲91目368科842属。其平均分类差异指数的理论平均值为93.7,分类差异变异指数为213.6。将已知受到中度扰动的胶州湾部分站位真实值叠加到平均分类差异指数的95%置信区间漏斗图中,发现全部站位均显著低于95%置信区间,显示了平均分类差异指数在海洋污染监测方面的良好应用前景。     

山东近海鱼类群落分类多样性

根据相关文献整理了山东近海鱼类名录,并根据1998—2009年山东近海鱼类调查名录,应用平均分类差异指数(Δ+)和分类差异变异指数(Λ+)研究了鱼类分类学多样性特征。结果表明,山东近海鱼类名录包括2纲28目91科169属225种,1998年调查仅2纲11目41科58属62种,2006年调查为1纲13目41科71属78种,2009年调查为1纲9目32科55属62种。1998年—2009年调查鱼类种类远远低于鱼类名录记录的种数,分类阶元包含指数较低,平均每属包含1.1种。根据山东近海鱼类名录计算鱼类平均分类差异指数为66.1,分类差异变异指数为141.7;1998—2009年历次调查鱼类平均分类差异指数在60.9—62.7之间,分类差异变异指数在65.4—92.3之间。将1998—2009年历次调查鱼类群落分类多样性指数计算值叠加到山东近海鱼类总名录的95%置信漏斗曲线图,结果表明大部分调查值在置信漏斗曲线之外,目前山东近海鱼类分类多样性已大幅下降。     

厦门湾大型底栖动物分类学多样性指数及分类充分性

以厦门湾为研究区域,收集2014—2015年大型底栖动物的调查数据,计算了大型底栖动物的分类学多样性指数,分析了分类学多样性指数与传统生物多样性指数的相关性和依从性,并从多个角度探讨大型底栖动物的分类充分性。结果表明,厦门湾大型底栖动物分类多样性指数(Δ)介于6.04—83.71之间,平均值为68.26,站位分布不均匀;分类差异性指数(Δ~*)介于74.27—99.54之间,平均值为84.23;平均分类差异指数(Δ~+)、分类差异变异指数(Λ~+)的理论平均值分别为86.82、345.0,个别站位落在95%置信区间外,表明局部区域环境受到了一定程度扰动。Δ、Δ~*与Margalef指数、Pielou均匀度指数、Shannon-Wiener指数、Simpson指数呈显著相关,而Δ~+、Λ~+与传统多样性指数间无显著相关;分类学多样性指数可作为传统生物多样性指数的补充。种级、属级和科级的同一多样性指数间呈显著线性相关,拟合度较高(多数R2﹥0.9);根据三个分类水平站位的nMDS二维排序图、2-STAGE的相似性和聚类图,种级、属级和科级的群落结构一致性强,属级较种级丢失的信息约8%、科级为20%,因此在条件有限的情况下,大型底栖动物的监测与评价可根据实际的条件和需求适当将生物鉴定放宽至属水平。     

广西北海西村港互花米草对红树林湿地大型底栖动物群落的影响

为了解互花米草(Spartina alterniflora)入侵红树林的生态影响, 作者对位于北海市西村港的红树林湿地以及周边互花米草盐沼的大型底栖动物群落多样性和群落结构进行了研究。2012年10月至2013年9月连续4次取样, 按照取样时间研究大型底栖动物的种类、物种组成、生物量和生物多样性等群落特征的差异, 探讨互花米草入侵红树林湿地对大型底栖动物的影响。本研究共采集底栖动物16种, 隶属于5门7纲15科, 其中互花米草群落10种, 红树林湿地12种。研究发现互花米草入侵后中国绿螂(Glauconome chinensis)个体数量剧增, 导致不同采样时间互花米草盐沼的大型底栖动物生物量均显著高于红树林湿地; 除个别月份外, 红树林湿地大型底栖动物的Margalef丰富度指数、Shannon-Wiener多样性指数、Simpson多样性指数和Pielou均匀度指数均显著高于互花米草群落。基于生境-采样时间的双因素方差分析结果表明, Shannon-Wiener多样性指数和Simpson指数在两种生境间差异显著; 两种生境的Margalef丰富度和Pielou均匀度指数在不同采样时间差异显著; 大型底栖动物生物量和物种数量在两种生境间和不同采样时间差异均显著。基于多元回归分析的研究结果表明, 互花米草密度是影响大型底栖动物生物量的关键因子, 而互花米草株高可以解释物种个体数量、Shannon-Wiener多样性指数和Simpson指数在两种生境的变化。对不同采样时间大型底栖动物群落结构的非度量多维度(non-metric multidimensional scaling, NMDS)分析结果表明, 红树林与互花米草群落的大型底栖动物群落相似性很低。总而言之, 在西村港地区, 互花米草入侵虽然增加了大型底栖动物的生物量, 但由于优势物种的凸显, 显著降低了大型底栖动物群落的多样性, 且种类组成与群落结构与红树林群落相比已有差异。由此可见, 互花米草入侵红树林对当地的大型底栖动物群落多样性造成影响。     

山东半岛南部海湾底栖动物群落生态特征及其与水环境的关系

2006-2007年对山东半岛南部4个海湾(荣成湾、桑沟湾、靖海湾和五垒岛湾)19个站位的底栖动物群落结构特征进行了研究,并对14个环境因素和底栖动物群落生态特征分别进行主成分分析和Spearman相关分析。结果显示,荣成湾、桑沟湾和靖海湾的底栖动物种类中,多毛类所占比例最高,而五垒岛湾仅秋、冬季多毛类所占比例最高。根据聚类分析和非度量多维标度方法分析,4季底栖动物群落均可分为2个群落,春、冬季的第一聚群为靖海湾和五垒岛湾,第二聚群为荣成湾和桑沟湾。秋季荣成湾、桑沟湾、靖海湾组成第一聚群,第二聚群由五垒岛湾构成。夏季,底栖动物Shannon-Wiener多样性指数(H')与采样深度和总碱度呈显著正相关,与水温呈极显著的负相关关系。秋季,与硝酸盐呈负相关关系,说明富营养化对山东半岛南部4个海湾大型底栖动物群落产生了一定负面影响。ABC曲线法分析显示,荣成湾和桑沟湾底栖动物的丰度优势度曲线与生物量优势度曲线相交,表明荣成湾和桑沟湾大型底栖动物群落处于中度干扰状态,密集的养殖活动可能对其生态系统带来了巨大影响,加强海水养殖管理,强化生态健康养殖理念,合理利用海洋生物资源,对大型底栖动物群落的稳定性具有重要意义。     

灵昆岛围垦区内外滩涂大型底栖动物生物多样性

2006年2月至2006年11月在灵昆岛东滩湿地选择1997年围垦潮沟滩涂以及围垦区外的自然滩涂作为样地,开展了自然滩涂与围垦潮沟滩涂大型底栖动物群落生物多样性比较的调查研究.共发现大型底栖动物36种,隶属7门8纲22科,这些物种中软体动物、节肢动物和环节动物共占物种总数的83.33%.其中在围垦区内的4个样点共发现大型底栖动物27种,在自然滩涂上的4个样点共发现大型底栖动物32种.通过对定量取样获得的各群落大型底栖动物密度数据进行计算,得到了各种大型底栖动物的生态位宽度和围垦区内外不同生境中大型底栖动物群落生物多样性指数(Shannon-Weiner指数 H'、Pielou指数 J、Simpson指数 D),结果显示围垦滩涂潮沟上的光滩和边滩以及自然滩涂上的高潮带和中潮带滩涂的Shannon-Weiner多样性指数 H'较高,Simpson优势度指数D则相对较低,表明了这些位点的大型底栖动物的多样性程度较高,而长满互花米草(Spartina alterniflora)位点的Shannon-Weiner多样性指数 H'和Pielou均匀度指数 J都要小于受潮水作用相似的邻近滩涂,但Simpson优势度指数D却相对较高,这表明互花米草入侵已改变了原来的大型底栖动物群落结构.运用相似度指数Jc、成对t检验以及聚类和排序等多种统计学方法对围垦滩涂潮沟和自然滩涂上的各个位点进行了群落相似性分析,结果表明潮位是影响自然滩涂上大型底栖动物分布的一个重要因素,不同潮位之间的大型底栖动物群落差异比较明显.相对而言,围垦区内各生境之间的大型底栖动物群落分化程度较低,即围垦导致潮位因素对大型底栖动物的分布的影响降低.     

长江口邻近海域丰水季大型底栖动物群落特征

为了研究长江口丰水季邻近海域大型底栖动物群落特征, 我们根据2012年6、8和10月长江口邻近海域大型底栖动物的调查资料, 应用双因素方差分析(Two-Way ANOVA)、聚类分析(Cluster)、非参数多维标度排序(Non-metric Multidimensional Scaling, NMDS)以及丰度生物量比较曲线(Abundance-Biomass Comparison Curves, ABC Curves)对数据资料进行分析。本研究共记录大型底栖动物181种, 其中多毛类动物82种, 甲壳动物46种, 软体动物31种, 棘皮动物11种, 其他类群11种。大型底栖动物丰度、生物量、种类丰富度和多样性指数月份间差异和空间差异均不显著。均匀度指数月份间差异不显著, 而空间上远海显著高于近海。6、8和10月大型底栖动物在20%的相似性水平上划分为3-4个群聚, 不同站位相似性水平较低。ABC曲线表明远海大型底栖动物群落受扰动的程度小于近海。受人类活动的持续影响, 长江口邻近海域大型底栖动物种类变化剧烈, 空间分布不均匀。     

淮河流域板桥水库大型底栖动物群落结构及水质生物学评价

为了解板桥水库大型底栖动物群落结构动态特征并对其水质进行生物学评价,在该水库设置15个采样点,于2014年1—11月按季节进行调查.结果表明: 在板桥水库采集到大型底栖动物17种,隶属于3门4纲5科,其中摇蚊幼虫8种、寡毛类4种、软体动物5种.铜锈环棱螺、河蚬、苏氏尾鳃蚓、粗腹摇蚊和雕翅摇蚊为现阶段板桥水库的重要物种.大型底栖动物密度、生物量和多样性指数存在空间和时间差异性.ANOSIM分析显示,大型底栖动物群落结构在不同区域和季节间均存在显著差异,其主要贡献物种为雕翅摇蚊、粗腹摇蚊和苏氏尾鳃蚓.经丰度 生物量比较曲线(ABC曲线)分析,板桥水库大型底栖动物群落稳定,结合物种多样性指数、生物学污染指数(BPI)和Hilsenhoff生物指数(BI)评价结果,板桥水库的水质处于轻度污染水平.     

青弋江流域大型底栖动物群落结构及水质评价

研究河流大型底栖动物群落结构特征及水环境质量对水生态的保护与修复具有重要意义。以青弋江流域为研究对象,于2020年9月进行了大型底栖动物及水体理化因子的调查,采用相对重要性指数、生物多样性指数及Jaccard相似性系数分析了大型底栖动物群落结构特征,运用丰度/生物量比较曲线法及冗余分析法探究了底栖动物群落受到的干扰程度及其主要影响环境因子,最后利用水生态环境质量综合指数对河流水质进行评价。研究结果表明：(1)共采集鉴定大型底栖动物61种,隶属于3门6纲17目,平均丰度为265.9个/m~2,平均生物量41.6 g/m~2。相对重要性指数分析显示,日本沼虾(Macrobrachium nipponensis)、中国圆田螺(Cipangopaludina chinensis)、羽摇蚊(Chironomus plumosus)及扁蜉(Ecdyrus)为群落中的主要优势种。(2)由群落相似性分析知,Jaccard相似性系数较低,调查点位之间存在较强的空间异质性。(3)冗余分析表明,电导率、氨氮浓度及流速是影响底栖动物群落结构的主要环境因子。(4)生物指数分析结果显示该流域水质为轻度污染或中度污...     

庙岛群岛南部海域大型底栖动物多样性

为了解庙岛群岛南部海域大型底栖动物群落多样性变化,我们在该海域设置了11个站位,于2012年11月、2013年2月、5月、8月共进行了4个航次的调查,对该海域大型底栖动物的生物多样性变化、种类组成以及优势种等进行了分析。在研究海域共采集到大型底栖动物164种,包括环节动物多毛类82种,节肢动物甲壳类38种,软体动物30种,棘皮动物9种,其他类群5种。各站位种类数在6–42种之间。物种数冬夏较多、春季较少。各站位Shannon-Wiener多样性指数未呈现明显的季节性变化;均匀度指数春夏最高;而丰富度指数春夏两季最低。沉积物中有机质与叶绿素含量是影响大型底栖动物多样性的主要因素。丰度–生物量比较曲线(ABC曲线)结果表明,位于庙岛与北长山岛之间的C13站、毗邻庙岛的C17站和C28站的底栖动物群落受到了中等程度的扰动,其余站位未受到明显扰动。     

黄渤海甲壳类的分类多样性

为了解黄渤海甲壳类的分类多样性特征, 我们统计了2010-2015年中国水产科学研究院黄海水产研究所调查捕获的黄渤海甲壳类(软甲纲: 十足目与口足目)物种名录。结合历史文献, 进一步系统整理得到黄渤海甲壳类物种总名录。基于这2个名录, 应用分类阶元包含指数(the inclusion index at taxonomic level, TINCL_i)、平均分类差异指数(average taxonomic distinctness index, Δ⁺)和分类差异变异指数(variation in taxonomic distinctness index, Λ⁺)研究了其分类多样性特征。结果显示: 2010-2015年调查名录中, 甲壳类共93种, 隶属于2目39科66属, 其中10种为新分布种; 对虾科、藻虾科、长臂虾科、梭子蟹科和弓蟹科的物种数最多, 合计占总物种数的38.71%; TINCL_i分别为1.41种/属和2.38种/科; Δ⁺和Λ⁺分别为50.25和35.20。总名录中, 甲壳类共228种, 隶属于2目53科123属, 其中藻虾科、豆蟹科、对虾科、弓蟹科和鼓虾科的物种数最多, 合计占总物种数的30.70%; TINCL_i分别为1.85种/属和4.30种/科, Δ⁺和Λ⁺分别为50.18和30.87。对虾科的相对丰富度指数(the relative richness index, R_r)最高(100), 其次是梭子蟹科(71.43)和长臂虾科(62.50), 豆蟹科最低(6.25)。黄渤海甲壳类的平均分类差异指数(Δ⁺)明显小于鱼类(P < 0.05)。2010-2015年调查的Δ⁺计算值高于理论值, 且在理论值的95%置信区间内, 说明黄渤海甲壳类群落正处在中等程度的干扰中。     

Taxonomic distinctness and diversity of a hyperseasonal savanna in central Brazil

Savannas are characterized by a sharp seasonality, in which the water shortage defines the community functioning. Hyperseasonal savannas, however, experience additionally waterlogging in the rainy season. Since waterlogging may cause local extinctions of intolerant species, we asked whether waterlogging constricts the phylogenetic structure of a hyperseasonal savanna. We studied a hyperseasonal cerrado, comparing it with a nearby seasonal cerrado, never waterlogged, in Emas National Park, central Brazil. In each vegetation form, we sampled all vascular plants by placing fifty 1-m² quadrats in five surveys. We compared the phylogenetic structure of both vegetation forms, calculating their taxonomic distinctness, taxonomic diversity, expected taxonomic distinctness, and species, genus, and family similarities. The taxonomic distinctness of both cerrados was similar and the values of similarities were high, but taxonomic diversity and expected taxonomic distinctness were lower in the hyperseasonal cerrado than in the seasonal one. Assuming that phenotypic attraction is the major process organizing local communities, the waterlogging in hyperseasonal cerrado assembles phylogenetically unrelated species that have converged on similar habitat use. As a consequence, the habitat use of hyperseasonal cerrado species is a trait widespread in the phylogeny of seasonal cerrado. Waterlogging constrains the phylogenetic structure of the hyperseasonal cerrado, especially by reducing species diversity. In more ecological terms, we can only fully assess the phylogenetic structure of a community if we consider the species abundance.     

黄河中游湿地植物分类学多样性研究

在黄河中游湿地自禹门口至汾河入河口之间设置了13个样地进行植物调查,并将植物物种系统分类学中的分类学差异性指数应用到研究区域物种多样性的测度中。结果显示,样地内共记录植物75种,隶属于2门3纲18目23科61属;按所含物种数的多少统计,在门水平上主要分布在被子植物门(73种),在纲水平上主要分布在双子叶植物纲(57种),在科水平上主要集中在豆科(Leguminosae,11种)、菊科(Compositae,14种)和禾本科(Gramineae,11种),在属水平上主要集中在藜属(Chenopodium,3种)、胡枝子属(Lespedeza,3种)、蒿属(Artemisia,3种)和香蒲属(Typha,3种);一年或两年生植物最多,地上芽植物、地面芽植物和地下芽植物次之的生活型谱特征总体上反映了黄河中游湿地夏季高温多雨、冬季寒冷干旱的气候特征。用平均分类学差异指数(Δ~+)和分类学差异变异指数(Λ~+)对13个样地植物分类学多样性特征的分析表明,Δ~+和Λ~+的理论平均值分别为84.25和425.43;运用双变量分析法将Δ~+和Λ~+进行组合分析,发现汾河入河口样地(S12)的期望值较小,河津市汾河25号坝样地(S8)、闸西侧样地(S9)和万荣县西范控导工程西侧样地(S10)的期望值较大,说明样地S12的物种分类学多样性较大且物种分布较为均一,样地S8、S9、S10则与之相反。Pearson检验结果显示,平均分类学差异指数(Δ~+)、分类学差异变异指数(Λ~+)与Shannon-Wiener指数、Pielou指数、Simpson指数、Patrick指数间均无稳定的相关关系(P0.05)。     

Seasonal variations in macrobenthic taxonomic diversity and the application of taxonomic distinctness indices in Bohai Bay,northern China

Taxonomic diversity indices have a number of desirable properties as indicators in the assessment of environmental quality, and have become an important measure in biodiversity studies. Macrobenthic taxonomic variations were studied in Bohai Bay, northern China, an area under threat from rapid human development. Four seasonal cruise datasets were collected between 2006 and 2007. Environmental conditions exhibited large fluctuations due to human development; nitrogen and phosphorus were the main environmental stressors. A total of 97 macrofauna taxa were identified belonging to 88 genera, 72 families, 36 orders, 14 classes, and nine phyla. Analysis of similarity indicated that there were significant assemblage differences across sampling stations as well as seasons. Four taxonomic indices, taxonomic diversity (Δ), taxonomic distinctness (Δ*), average taxonomic distinctness (Δ⁺), and variation in taxonomic distinctness (Λ⁺) were calculated using abundance data. Among the stations and seasons, there were greater variations in both Δ and Λ⁺ than in Δ* and Δ⁺. The funnel plot of Δ⁺ could identify disturbed stations to some extent, but was not always a strong indicator of disturbance. The Δ⁺ performance was better in autumn than in spring, but could not identify a disturbed station in autumn due to a low number of species. The efficiency of taxonomic distinctness may depend on taxa or the pollution indicators. Taxonomic distinctness indices can be effective at assessing environmental degradation when correctly applied; however, they are unsuitable for directly assessing environmental quality in a new area prior to efficiency testing.     

汾河入黄口夏季微生物群落结构分析

【背景】河流交汇区日益成为流域生态治理的焦点和热点之一。【目的】探明汾河入黄口微生物群落结构及其主要环境影响因子。【方法】应用16S rRNA基因Illumina MiSeq高通量测序技术,分析了汾河入黄口夏季微生物群落结构,并利用典范对应分析(Canonical correspondence analysis,CCA)了解影响微生物群落的主要环境因子。【结果】多样性指数分析表明该区域微生物群落多样性较高。微生物多样性分析发现优势菌门为变形菌门(Proteobacteria)、厚壁菌门(Firmicutes)、拟杆菌门(Bacteroidetes)和放线菌门(Actinobacteria);在属分类水平上,相对丰度最高的菌属为芽孢杆菌属(Bacillus),其次为乳球菌属(Lactococcus)和hgcI_clade。Spearman相关性分析及典范对应分析表明环境因子对水体微生物群落结构具有显著影响。【结论】汾河与黄河微生物群落组成具有一定的差异,不同环境因子对不同微生物的影响程度不同,p H和溶解氧(Dissolved oxygen,DO)是汾河入黄口微生物群落结构的主要影响因子。     

Patterns in freshwater diatom taxonomic distinctness along an eutrophication gradient

1. A variety of species richness measures have been used to assess the effects of environmental degradation on biodiversity. Such measures can be highly influenced by sample size, sampling effort, habitat type or complexity, however, and typically do not show monotonic responses to human impact. In addition to being independent of the degree of sampling effort involved in data acquisition, effective measures of biodiversity should reflect the degree of taxonomical relatedness among species within ecological assemblages and provide a basis for understanding observed diversity for a particular habitat type. Taxonomic diversity or distinctness indices emphasize the average taxonomic relatedness (i.e. degree of taxonomical closeness) between species in a community. 2. Eutrophication of freshwater ecosystems, mainly due to the increased availability of nutrients, notably phosphorus, has become a major environmental problem. Two measures of taxonomic distinctness (Average Taxonomic Distinctness and Variation in Taxonomic Distinctness) were applied to surface sediment diatoms from 45 lakes across the island of Ireland to examine whether taxonomic distinctness and nutrient enrichment were significantly related at a regional scale. The lakes span a range of concentrations of epilimnic total phosphorus (TP) and were grouped into six different types, based on depth and alkalinity levels, and three different categories according to trophic state (ultra‐oligotrophic and oligotrophic; mesotrophic; and eutrophic and hyper‐eutrophic). 3. The taxonomic distinctness measures revealed significant differences among lakes in the three different classes of trophic state, with nutrient‐rich lakes generally more taxonomically diverse than nutrient‐poor lakes. This implies that enrichment of oligotrophic lakes does not necessarily lead to a reduction in taxonomic diversity, at least as expressed by the indices used here. Furthermore, taxonomic distinctness was highly variable across the six different lake types regardless of nutrient level. 4. Results indicate that habitat availability and physical structure within the study lakes also exert a strong influence on the pattern of taxonomic diversity. Overall the results highlight problems with the use of taxonomic diversity measures for detecting impacts of freshwater eutrophication based on diatom assemblages.     

Utilization of species checklist data in revealing the spatial distribution of fish diversity

Marine fish species checklists from six Chinese coastal waters were combined for the analysis of taxonomic diversity. The Genus-Family index (G-F index) ranged between 0.39 and 0.84, which generally indicated a decreasing trend with increasing latitude, with the exception of the southernmost area. Average taxonomic distinctness showed a slight increasing trend from northern to central study areas, but whether the taxonomic distinctness indices represent a latitudinal gradient of biodiversity requires further study. The multivariate analysis revealed a distinct latitudinal variation in fish assemblages. These results indicate that species checklist data are helpful in understanding the diversity distribution of fish species in the coastal zone. The potential of a species inventory should be exploited to fully understand biodiversity.     

Biodiversity of traits and species both show weak responses to hydromorphological alteration in lowland river macroinvertebrates

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Responses of taxonomic distinctness and species diversity indices to anthropogenic impacts and natural environmental gradients in stream macroinvertebrates

1. Many studies have shown traditional species diversity indices to perform poorly in discriminating anthropogenic influences on biodiversity. By contrast, in marine systems, taxonomic distinctness indices that take into account the taxonomic relatedness of species have been shown to discriminate anthropogenic effects. However, few studies have examined the performance of taxonomic distinctness indices in freshwater systems. 2. We studied the performance of four species diversity indices and four taxonomic distinctness indices for detecting anthropogenic effects on stream macroinvertebrate assemblages. Further, we examined the effects of catchment type and area, as well as two variables (pH and total phosphorus) potentially describing anthropogenic perturbation on biodiversity. 3. We found no indications of degraded biodiversity at the putatively disturbed sites. However, species density, rarefied species richness, Shannon's diversity and taxonomic diversity showed higher index values in streams draining mineral as opposed to peatland catchments. 4. Of the major environmental gradients analysed, biodiversity indices showed the strongest relationships with catchment area, lending further support to the importance of stream size for macroinvertebrate biodiversity. Some of the indices also showed weak linear and quadratic relationships to pH and total phosphorus, and residuals from the biodiversity index‐catchment area regressions (i.e. area effect standardized) were more weakly related to pH and total phosphorus than the original index values. 5. There are a number of reasons why the biodiversity indices did not respond to anthropogenic perturbation. First, some natural environmental gradients may mask the effects of perturbation on biodiversity. Secondly, perturbations of riverine ecosystems in our study area may not be strong enough to cause drastic changes in biodiversity. Thirdly, multiple anthropogenic stressors may either increase or decrease biodiversity, and thus the coarse division of sites into reference and altered streams may be an oversimplification. 6. Although neither species diversity nor taxonomic distinctness indices revealed anthropogenic degradation of macroinvertebrate assemblages in this study, the traditional species diversity and taxonomic distinctness indices were very weakly correlated. Therefore, we urge that biodiversity assessment and conservation planning should utilize a number of different indices, as they may provide complementary information about biotic assemblages.