Using macroinvertebrate species assemblages to identify river channel habitat units: an application of the functional habitats concept to a large,unpolluted Italian river (River Ticino,northern Italy)

The functional habitat concept was applied to a large Italian river for the first time. The characteristically wide range of hydraulic conditions present in this river (compared to previously-studied small, lowland, English rivers) were expected to be of central importance to biota and, therefore, to habitat definition. TWINSPAN analysis of the invertebrate assemblages sampled in the Ticino river identified five distinct habitats: two habitats in lotic areas (run-riffle and macrophytes in current), two along the river margins (with and without macrophytes) and one in backwater areas. These correspond to five of the functional habitats identified in U.K. lowland rivers. Each of these five functional habitats could be defined either in terms of hydraulics, substratum and/or presence/absence of macrophytes. Representative taxa are presented for each habitat and community structure discussed. Macrophyte and run-riffle habitats supported the most heterogeneous and abundant benthic fauna. No match was found between replicates grouped by invertebrate assemblage (the five functional habitats identified by TWINSPAN) and the grouping of the same replicates by PCA, carried out on the physical data matrix. While obvious velocity differences were found between the functional habitats, of particular note was the fact that the Froude number did not show any clear association with habitat type. In the future, improved river management will follow improved understanding of river habitats.     

Spatio-temporal variation of environmental variables and aquatic macroinvertebrate assemblages in Lake Nokoué, a RAMSAR site of Benin

Environmental characteristics and macroinvertebrate assemblages of Lake Nokoué (Benin) were investigated from September 2014 to July 2016. Seasonal and hydroclimatic changes, as well as anthropogenic activities were the overriding factors affecting environmental variables investigated. Analysis of macroinvertebrate community structure with several indices revealed a community structure changing across seasons and differing between the sites. Mollusca, Crustacea and Polychaeta were most abundant in the dry seasons, especially at sites close to the ocean, whereas Oligochaeta and Insecta (Diptera, Heteroptera, Coleoptera, Odonata and Ephemeroptera) were abundant in the wet seasons, especially during flood periods (short wet season) at the sites receiving fresh water and on roots of macrophytes. A redundancy analysis placed habitat suitability (temperature and macrophytes) and trophic status variables (NO₂^?, NO₃^?, conductivity and pH) as structuring drivers for macroinvertebrate assemblages. The current study demonstrates that spatial heterogeneity of macroinvertebrates of Lake Nokoue is related to the dynamics created by input of fresh water (wet seasons) or salt water (dry seasons), as well as spatial heterogeneity of anthropogenic activities (nutrients). It offers insights into the macroinvertebrate dynamics linked to the limnology of a West African lagoon, which could contribute to a better understanding of management and conservation measures.     

基于河流生境调查的东河河流生境评价

河流生境是河流生态系统的重要组成部分,是河流生物赖以生存的基础。以位于三峡库区腹心区域的典型山区河流东河为研究对象,采用河流生境调查(RHS)方法调查河流生境,选择河流生境质量评价指数(HQA)、河流生境退化指数(HMS)评估河流生境现状,分析生境质量和人为干扰的空间分布规律。结果表明,51个河段的HQA值介于24—66之间。29.4%河段的HQA为优,29.4%为良,23.5%为中,9.8%为较差,7.8%为差。从HMS看,7.8%的河段保持较自然状态,19.6%受到轻微的破坏,41.2%退化明显,27.5%退化严重,3.9%受到剧烈破坏。HQA与HMS存在显著的负相关关系。东河上、中、下游河段的HQA无明显差异,但HMS差异显著。从干扰来源看,东河上游和中游河流生境主要受引水式小水电、沿河公路、河道采砂影响。东河下游河流生境受高强度的土地开发(农业用地、建设用地),河道采砂,河堤、排污管、桥梁等水工构筑物的修建和三峡水库水位的波动影响。RHS评价结果能较直观地反映河流生境状况,以及导致河流生境质量衰退的原因。     

Relative influence of variables at multiple spatial scales on stream macroinvertebrates in the Northern Lakes and Forest ecoregion, U.S.A.

• 1 We used 94 sites within the Northern Lakes and Forests ecoregion spanning Minnesota, Wisconsin and Michigan to identify environmental variables at the catchment, reach and riparian scales that influence stream macroinvertebrates. Redundancy analyses (RDA) found significantly influential variables within each scale and compared their relative importance in structuring macroinvertebrate assemblages.
• 2 Environmental variables included landcover, geology and groundwater delivery estimates at the catchment scale, water chemistry, channel morphology and stream habitat at the reach scale, and landcover influences at three distances perpendicular to the stream at the riparian scale. Macroinvertebrate responses were characterised with 22 assemblage attributes, and the relative abundance and presence/absence of 66 taxa.
• 3 Each scale defined macroinvertebrates along an erosional to depositional gradient. Wisconsin's macroinvertebrate index of biotic integrity, Ephemeroptera–Plecoptera–Trichoptera taxa and erosional taxa corresponded with forest streams, whereas organic pollution tolerant, Chironomidae and depositional taxa corresponded with wetland streams. Reach scale analyses defined the gradient similarly as dissolved oxygen and wide, shallow channels (erosional) opposed instream macrophytes and pool habitats (depositional). Riparian forests within 30 m of the stream coincided with an erosional assemblage and biotic integrity.
• 4 Next, we combined all significant environmental variables across scales to compare the relative influence of each spatial scale on macroinvertebrates. Partial RDA procedures described how much of the explained variance was attributable to each spatial scale and each interrelated scale combination.
• 5 Our results appeared consistent with the concept of hierarchical functioning of scale in which large‐scale variables restrict the potential for macroinvertebrate traits or taxa at smaller spatial scales. Catchment and reach variables were equally influential in defining assemblage attributes, whereas the reach scale was more influential in determining relative abundance and presence/absence.
• 6 Ultimately, comprehending the relative influence of catchment and reach scale properties in structuring stream biota will assist prioritising the scale at which to rehabilitate, manage and derive policies for stream ecosystem integrity.

     

Survey of atmospheric heavy metal deposition in Suqian using moss contamination

Abstract

Heavy metal pollution in the atmosphere is a major environmental problem, which has important impacts on ecosystems and human health. In this study, the atmospheric deposition of cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), vanadium (V), and zinc (Zn) in Suqian, China, was investigated by using the moss Haplocladium microphyllum as a bioindicator. The survey was carried out during the summer of 2017 at 40 homogenously distributed sampling sites. Cr, Cu, Ni, Pb, V, and Zn were analyzed by inductively coupled plasma atomic emission spectrometry, and Cd was analyzed by inductively coupled plasma mass spectrometry. Wide variations in heavy metals (Cd, Pb, and Zn) indicated that the concentrations of elements are influenced by local emission sources. Spatial distribution maps of the elements were constructed using geographic information system technology. The pollution load index showed that the study area was moderately polluted to unpolluted. Significant positive correlations (p?<?.01) and weak positive correlations (p?<?.05) were identified among some of the elements, indicating that they originated from common sources. A principal component analysis classified the heavy metals into natural and anthropogenic sources, and identified four primary sources: nature soil dust, industry activities, traffic emission, and agricultural activities.     

Spatial distributional patterns of macroinvertebrates along rivers within and among biomes

This study was designed to test the biome dependency hypothesis, which predicts that similar assemblages of macroinvertebrates occur along rivers both within and among drainage basins if the basins occupy the same biome. Benthic macroinvertebrates were collected from three drainage basins within each of three biomes in Canada, the eastern deciduous forests (EDF) of southwestern Ontario, the grasslands of south-central Alberta, and the montane coniferous forests (MCF) of southeastern British Columbia. A total of 225 benthic samples (3 biomes × 3 rivers/biome × 5 sites/river × 5 samples/site) was collected in spring using a cylinder sampler.The significant interaction effect between biome and a site's location along a river indicated that spatial patterns of variation in total density and taxonomic composition were not spatially consistent among sites along rivers or among biomes. Total macroinvertebrate densities were equivalent between the EDF and grassland sites. However, total density was substantially lower at the MCF sites than at sites in the other two biomes. The greatest differences in taxonomic composition occurred among biomes, although significant differences also occurred for all other sources of variation examined. Macroinvertebrate composition was more strongly associated with local, site-specific factors (riparian vegetation and land use) than with longitudinal gradients. Distinct site-specific taxonomic assemblages were evident in EDF, but not in the other two biomes where land use was more homogeneous.     

尼泊尔生态系统质量评估与时空格局变化——基于参照条件的评估方法

良好的生态系统质量是维持人类社会供给需求和可持续发展目标实现的重要保障。针对尼泊尔自然地理环境复杂多样,区域间气候差异明显的特点,结合基于参照条件的评估方法可以得到生态系统质量的相对水平值,其结果能够反映出不同的变化信息。植被是区域生态系统质量变化的重要指示器,利用尼泊尔五大地理区以及四种主要植被生态系统类型划分出20个生态评估区,从表征植被生态系统的水平结构、生产功能和垂直结构3个方面计算生态参数相对密度指标（RVI）,结合主成分分析法构建植被生态系统质量指数（VEQI）,并以其国家自然保护区为参照,构建基于参照条件的生态系统质量评估模型,计算了尼泊尔2016和2020年基于参照条件的植被生态系统质量指数（VEQI''）并分析其生态系统质量的时空格局变化。结果表明：（1）2016至2020年,尼泊尔生态系统质量现实值VEQI的平均值增加了3.49%,总体上,在参照生态系统质量（VEQI_ref）提高（约1.41%）的背景下,生态系统质量相对水平值VEQI''增加了1.42%;（2）对于尼泊尔地区,评估区89%分位数的VEQI与其对应的国家自然保护区的参照值具有很强的相关性,总体差异较小,可以代替作为参照值;（3）从空间格局变化趋势来看,尼泊尔生态系统质量变好、基本稳定和变差的面积分别占植被生态系统总面积的74.16%、14.25%和11.59%。与数量不足、较难收集利用的野外观测台站数据相比,国家自然保护区更接近理想参照生态系统的假设,通过有限的自然保护区确定生态评估区的参照值,实现生态系统质量的快速评估,其结果具有更好的时空可比性,可以为区域生态质量变化评估及量化分析等方面提供参考。     

Partitioning the variation among spatial,temporal and environmental components in a multivariate data set

Abstract We propose a method of partitioning the variation in a multivariate set of data according to (i) environmental variables, (ii) variables describing the spatial structure in the data and (iii) temporal variables. This method is an extension of an existing method for partialling out the spatial component of environmental variation, using canonical analysis. Our proposed method extends this approach by including temporal variables in the analysis. Thus, the partitioning of variation for a data matrix of species’abundances or biomass can include, by our methodology, the following components: (1) pure environmental, (2) pure spatial, (3) pure temporal, (4) pure spatial component of environmental, (5) pure temporal component of environmental, (6) pure combined spatial/temporal component, (7) combined spatial/temporal component of environmental and (8) unexplained. In addition, permutation testing accompanying the analyses allows tests of significance for the relationship between the different components and the species data. We illustrate the method with a set of survey data of penaeid species (prawns) obtained on the far northern Great Barrier Reef, Australia. This extension is a useful tool for multivariate analysis of ecological data from surveys, where space, time and environment commonly overlap and are important influences on observed variation.     

Habitat variability of the Littorelletea uniflorae plant communities in Polish Lobelia lakes

Research was carried out to determine aquatic oligochaete habitat preferences in the Rokytná River (Thaya River basin), a sixth order highland stream in the Czech Republic during the period of April 1999–April 2001. Quantitative samples were collected and current velocity and basic physico-chemical variables were measured monthly in four typical habitats in the Rokytná River. During this study, 28, 842 individuals representing 44 oligochaete species or higher taxa were collected. Temporal variability of proportional occurrence of trophic groups found on selected habitats (gathering collectors and grazers) was analysed. Habitat preferences of oligochaete species were evaluated by Canonical Correspondence Analysis (CANOCO). Biochemical oxygen demand (BOD) and nitrate (NO₃⁻) ion concentration were the most important variables explaining the distribution of Oligochaeta along the first axis. Current velocity (at 40% of the depth) and presence of oligochaetes associated with the habitat where gravel bars never formed were the most important variables along the second axis. Both axes were correlated with the temperature, reflecting the sampling in summer along the first axis and sampling in late spring along the second axis. The amount of organic matter (BOD) and concentrations of NO₃⁻ ions represented both oligochaete food source and decomposition products contributing to the growth of algae. Current velocity and preferred habitat explained the spatial pattern of oligochaete distributions.     

Stream community structure in relation to spatial variation: the influence of mesohabitat characteristics

Community structure of benthic macroinvertebrates was studied in six first- through fourth-order streams in northeast France, to elucidate changes in richness, abundance, diversity and evenness of mesohabitat assemblages as a function of environmental conditions. Patch samples were subjected to multivariate analyses to determine: (i) relationships among seven indices describing community structure (structure parameters); (ii) relationships among seven environmental variables; (iii) the relationship between community structure and environmental characteristics of patches. Faunal data showed that indices measuring the distribution of individuals among taxa (evenness, dominance) and richness are prominent in describing the structure of macroinvertebrate communities of mesohabitats. The analysis of environmental data demonstrated a major differentiating ability of current velocity and strong inter-relations among in-stream hydraulic-dependent parameters in structuring the mesohabitat environment. The co-structure (= relationship) between community organization and environmental variables indicated that substrate may be a primary determinant of community structure. Current velocity and water depth emerged as secondary factors. Trends in community structure were closely related to the spatial variability of mesohabitats. Species richness increased with habitat heterogeneity. Total abundance increased with trophic potentialities of patches. Equitability and diversity seemed to increase with patch stability. This revised version was published online in July 2006 with corrections to the Cover Date.     

Analysis of Recent Nutrient Emission Pathways,Resulting Surface Water Quality and Ecological Impacts under Extreme Continental Climate: The Kharaa River Basin (Mongolia)

This paper presents primary research results on nutrient emissions, resulting water quality and ecological impacts of the Kharaa river basin (Mongolia) during a three‐year water resource management study. Based on surveillance data from Mongolian environmental authorities and a complementary own monitoring scheme we calculated nutrient emissions on a sub‐basin scale. Additionally, the ecological situation of fish fauna, macroinvertebrates and their habitats were investigated on selected river sections in order to link anthropogenic pressures, nutrient status and ecological impact. Although the headwaters of the Kharaa represent natural background conditions (total nitrogen (TN) 0.46 to 0.58 mg N L^–1, total phosphorus (TP) 0.011 to 0.018 mg P L^–1) and population densities within the catchment are very low (< 10 inhabitants km^–2), the river basin is facing relatively high anthropogenic pressures on water quality in the middle and especially in the lower reaches (total nitrogen 1.50 to 1.52 mg N L^–1, total phosphorus 0.18 to 0.26 mg P L^–1). Nitrogen emissions into the Kharaa river basin were about 301 t N yr^–1 for the time period 2006–2008. For phosphorus a total emission of 56 t P yr^–1 was estimated. Main contributors are urban settlements with a high proportion of households without connection to wastewater treatment plants and, to a lesser extent, agricultural land‐use. These nutrient levels have a significant eutrophication potential in the Kharaa River and we observed functional shifts of the macroinvertebrates and fish fauna, while the drinking water abstraction through bank filtration showed no significant alteration of raw water quality. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

The fresh waters of Shetland: Chemical characteristics of running waters

The water chemistry of 48 streams on Shetland was determined as part of a synoptic survey of the islands during 1974. Principal component analysis identified three main contributors to stream chemistry: solid geology, drift geology (in the form of peat) and marine influence. The sites could be clustered by their chemistry according to these factors. The likely chemical characteristics of sites could be predicted from map analysis of altitude, solid and drift geology and oceanicity. There was little evidence of acidification of Shetland streams, but the peatiness of the water made acidification difficult to detect using the usual criteria. Most sites did show a reduction in alkalinity compared to a calculated value for non-aidified sites.     

Diatom Model Affinity (DMA), a New Index for Water Quality Assessment

A new index, diatom model affinity (DMA) was erected as a reference-based community metric, derived from generic and species composition. DMA provides an assessment of water quality by the calculation of percent similarity to a model community, which can be viewed as a reference standard. High similarity to the model indicates communities that are minimally disturbed, while lower similarity suggests water quality problems. The index is similar to that developed for macroinvertebrate communities by Novak & Bode (1992, Journal of the North American Benthological Society 11: 80-85). The index correlated well with environmental factors operating on hierarchical scales. Compared to other commonly used diatom indices, DMA-based community assessments demonstrated high correspondence to patterns derived from multivariate statistics.