水生态环境质量评价方法及在黄河流域的应用进展

开展水生态环境质量评价方法研究，建立合适的河流健康评价体系是解决河流健康问题的前提和实现河流健康管理的重要手段。黄河自上而下生态环境现状迥异，水生态环境脆弱，寻求一种或多种适合黄河流域水生态环境质量的评价方法具有重要意义。该文介绍了国内外水生态环境质量评价方法及在黄河流域的应用进展，总结了鱼类生物完整性指数(F-IBI)、底栖无脊椎动物完整指数(B-IBI)、着生藻类生物完整性指数(P-IBI)及水生态环境质量综合评价法的主要指标，以及黄河流域不同区域生物种类的评价指标，分析了各评价方法优缺点及应用范围，并根据目前研究基础评述了黄河流域水生态环境质量评价存在的问题，对黄河流域水生态环境质量评价方法、指示生物的选择及水生态环境质量综合评价法的研究等提出了具体建议。     

监测和评价浑江水质的底栖动物指标体系研究

在浑江六个断面采集到底栖动物(4门、6纲、12目、34科、57属)84种,列出了相关名录。通过运用描述对比法、指示生物法、生物指数法对浑江采样水体的水质进行了底栖动物学综合评价。在此基础上建立了监测和评价浑江水质的底栖动物指标体系,并探讨了河流水体污染生态学中的底栖动物与水质状况的相关性和对水质状况的指示性及利用该体系监测评价浑江水质的实用性。     

河流水生态环境质量评价方法研究与应用进展

河流生态质量的监测和评价是从河流生态系统健康状况的角度对河流质量进行的评价。河流生态健康的评价已经向多要素多指标综合、多种评价方法(预测模型法、生物完整性指数、多要素综合评价)、流域尺度方向发展。该文重点介绍了国外评价体系产生的背景和研究基础,分析了广泛应用的几类评价方法的特点、在不同国家和流域的应用情况以及各方法的应用前景,分析了国内开展河流生态质量评价研究的发展过程、阶段性研究进展和应用案例,并根据目前研究基础评述了我国评价体系现存问题及应用前景,为河流生态质量评价体系的建立及发展方向提供建议和参考。     

基于生物导向的水生态健康监测及评估概述

环境监测是水生态健康监测与评估的重要环节,基于物理、化学监测的传统水质监测通常仅能提供独立的数据信息,不能全面、直观地反映水环境状况。基于生物等生命体导向的水生态监测通过生物对环境的响应,能够直接反应复杂水体状况,在水环境健康监测与评估中占据重要地位。基于病原微生物、指示生物介绍了生物监测中的常规生物指标,总结了包括藻类、无脊椎动物和鱼类在内的常见指示生物在不同类型污染水体中的环境指示作用。从生物毒性效应出发介绍了常用的毒性效应测试方法、分析了污染物在不同生物学水平的响应,从而指明生物毒性效应在水环境健康评估中的发展优势。再从生态完整性角度阐述了生态完整性评价的一般方法和新兴分子生物学技术在水生态健康评估中的应用。重点指出环境毒理学和分子生物学在水环境监测的优势,以期为更加科学精确地进行水生态健康监测预警提供支撑。     

江阴市主要河流夏季浮游藻类的群落结构及多样性

2011年6—8月采集江阴市6条河流的浮游藻类样品,分析其群落结构及物种多样性,并利用多样性指数、指示性类群和硅藻商对水质进行了生物学评价。共检出浮游藻类6门137属种,平均生物量2.38 mg/L,蓝藻、绿藻、硅藻分别占72.3%、10.2%和8.41%。Shannon-Wiener多样性指数、Margalef丰富度指数和Pielou均匀度指数的变幅分别为3.34~3.59、4.75~6.40和0.73~0.75,硅藻商变幅为8.3~16.4。多样性指数评价结果表明,水体处于轻或无污染状态;指示性浮游植物类群和硅藻商评价结果表明,河流处于α中污带-β中污滞-多污滞。相关分析表明,Shannon-Wiener多样性指数与理化水质因子不显著相关,与悬浮物SS显著负相关,与总有机碳显著正相关。研究认为,指示性浮游植物类群或硅藻商更适于作为城市河流水质评价的生物指标。     

河流水质监测与评价中生物学指标研究

通过对黄河甘肃段水生生物的调查研究，在运用指示生物和Ｓｈａｎｎｏｎ等５种生物指数监测评价水质的基础上，进一步运用灰色关联理论，找出Ｍａｒｇａｌｅｆ，Ｓｉｍｐｓｏｎ等生物指数与水化学指标之间的关联度，使水质生物学评价分级中，生物指数分级标准和地面水环境质量标准中的理化分级标准有机结合。     

中国淡水大型底栖无脊椎动物条形码数据库构建

大型底栖无脊椎动物是得到广泛应用的水质生物监测和评价指示生物,但在实际应用过程中,受类群多样性高、形态鉴定专业性强、鉴定资料不全等影响,难以将其精确鉴定到种.新兴的DNA条形码技术能够快速、精确地鉴定物种,在生物多样性调查和监测等领域被寄予厚望.该方法的有效性与准确性依赖于完整、全面的参考数据库,然而现有公共数据库无法...     

水环境指示生物筛选及水质评价方法研究

以齐齐哈尔市近30年地表水生物监测数据、理化监测数据为研究依据,提出一套基于指示生物的地表水体评价方法。该方法将地表水体划分为5个级别,并从中筛选出每个级别对应的指示生物,最终建立一套基于指示生物描述水体污染程度的评价体系。该方法以理化指标为基础,筛选多种优势种作为指示生物,对水体进行综合评价。相比单一生物监测评价指标,该评价方法更能反映整个生态系统状况,从而更客观地反映水体真实情况,有望为地表水体污染评价新方法的建立提供参考。     

生物监测在跨界河流中的应用进展

综合分析了生物监测在跨界河流流经国家间的协调管理、生物类群的选择以及监测技术的选择方面所面临的问题;选择欧洲多瑙河、亚洲湄公河以及非洲尼日尔河等跨界河流作为典型案例,对比分析使用不同生物类群(例如底栖动物、浮游藻类以及鱼类)进行跨界河流生物监测的技术方法,阐述了跨界生物监测项目中的资金来源、管理办法和运行机制等;并对未来的跨界河流生物监测提出建议,以期为中国的跨界河流生物监测提供实践依据。     

基于不同方法的水生态健康评估 ——以北京市典型水体为例

在北京选择密云水库、昆明湖、福海和北运河水系河流等9个典型水体,利用基于不同水生生物的多样性指数法和综合指数法开展水生态健康评价.结果表明,基于浮游植物和底栖动物的Shannon-Wiener多样性指数所指示的水生态状况分别对应轻污染～中污染和中污染～重污染等级,而结合生境、水质和水生生物指标的两项综合指数反映出的水生...     

环境DNA宏条形码监测水生态系统变化与健康状态

开展快速可靠的水生态监测并预测其变化趋势,对保护水生态环境具有重要的价值。近年来,环境DNA宏条形码技术(简称环境DNA技术)的快速发展弥补了传统形态学生物监测的缺陷,显著提升了水生生物群落的监测能力。与机器学习、遥感和云服务等技术结合,环境DNA技术不仅能大尺度、高频率、高灵敏度、自动化地获取生态监测信息,而且能准确地识别水生态系统的变化趋势,进而改变对水生态系统的认识与管理方式。因此,研究着重总结了环境DNA技术在水生态监测中的应用,分析了环境DNA技术与机器学习、卫星遥感等跨学科合作的潜在机遇,基于环境DNA技术简单、便捷的优势,提出了社会公民参与水环境保护的生态监测新思路。     

Land use impacts on river health of Uma Oya,Sri Lanka: implications of spatial scales

Human actions on landscapes are a principal threat to the ecological integrity of river ecosystems worldwide. Tropical landscapes have been poorly investigated in terms of the impact of catchment land cover alteration on water quality and biotic indices in comparison to temperate landscapes. Effects of land cover in the catchment at two spatial scales (catchment and site) on stream physical habitat quality, water quality, macroinvertebrate indices and community composition were evaluated for Uma Oya catchment in the upper Mahaweli watershed, Sri Lanka. The relationship between spatial arrangement of land cover in the catchment and water quality, macroinvertebrate indices and community composition was examined using univariate and multivariate approaches. Results indicate that chemical water quality variables such as conductivity and total dissolved solids are mostly governed by the land cover at broader spatial scales such as catchment scale. Shannon diversity index was also affected by catchment scale forest cover. In stream habitat features, nutrients such as N-NO₃ ^?, macroinvertebrate family richness, %shredders and macroinvertebrate community assemblages were predominantly influenced by the extent of land cover at 200 m site scale suggesting that local riparian forest cover is important in structuring macroinvertebrate communities. Thus, this study emphasizes the importance of services provided by forest cover at catchment and site scale in enhancing resilience of stream ecosystems to natural forces and human actions. Findings suggest that land cover disturbance effects on stream ecosystem health could be predicted when appropriate spatial arrangement of land cover is considered and has widespread application in the management of tropical river catchments.     

Biomonitoring and environmental management

The advantages of biological monitoring of the environment have been long recognised. Direct measurements on biota of importance rather than the use of chemical surrogates, integration over time and the ability to measure the perhaps subtle changes brought about by minor or intermittent pollution have all been propounded as adantages.There appear to be a variety of barriers to the wider adoption of biomonitoring approaches. The perception that biomonitoring takes longer and is more expensive than chemical monitoring. The idea that chemical measurements are an adequate surrogate for direct measurements of biological change. The belief that interpretation of biological data is complex and uncertain in comparison with chemical data. These widely held myths are addressed and some broad principles to guide the development of biomonitoring programs are developed.     

Evaluating cumulative effects of small scale hydropower development using GIS modelling and representativeness assessments

Assessing cumulative effects are a vital task for strategic environmental assessments (SEA) but lack of consistent methodology has hampered the development and implementation of useful tools. We present a model for GIS and multivariate analysis to assess the effects on a valued ecosystem type at a regional scale based on the sum of impacts of local projects. We demonstrate application of the model by assessing how hydropower developments would generate cumulative impacts on river gorges for a county in northern Norway. We use principal component analyses (PCA) of spatially-explicit variables from the region to describe the diversity of river gorge ecology with a mathematical low-dimensional bioclimatic space. We then calculate cumulative effects of hydropower development as the proportions of subspaces of the multidimensional bioclimatic PCA that are affected by either existing infrastructure or planned and possible hydropower developments. The results showed that adding development of all potential sites for small-scale hydropower would have substantial impacts on over half of all bioclimatic segments where gorges were registered and more than 70% of all segments with forested river gorges. By demonstrating these possible cumulative effects we can illustrate the need for caution in hydropower planning to avoid reducing river gorge representativeness and diversity. The method can be applied for other types of development projects and other valued ecosystems, provided the assessed ecosystems and development installations can be mapped or modelled over a sufficiently large area.     

Assessing the influence of altitude and temperature on biological monitoring of freshwater quality: A preliminary investigation

The effect of altitude and water temperature on biomonitoring of freshwater quality was examined along an unpolluted area (36 km in length) of the upper Río Tajo (central Spain). The macrobenthic and fish communities were studied, and the Biological Monitoring Water Quality (BMWQ) method was applied. As expected, values of altitude and temperature respectively decreased and increased with increasing distance from the river source; these two physical parameters exhibited a negative and significant (P<0.05) correlation coefficient between them. However, despite evident changes in the functional structure of both aquatic communities along the study area, BMWQ scores were similar at all sampling sites. Pearson correlation coefficients between physical and biological parameters were not significant (P>0.05). The BMWQ index only exhibited significant (positive) correlation coefficients with macrobenthic and fish biomasses, indicating that freshwater quality could affect the biological production of fluvial ecosystems. It is concluded that biomonitoring of freshwater quality may be independent of the influence of altitude and water temperature at local spatial scales. Nonetheless, further investigations would be needed to clearly differentiate between the effects of anthropogenic and natural causes on biological monitoring at larger spatial scales.     

Introduction-global to local: Ecological Land Classification

Ecological Land Classification (ELC) is a scientific endeavour which attempts to organize, stratify and evaluate ecosystems (and complexes of ecosystems) for the purposes of land resource management. Since ecosystems themselves are not easily defined in practical terms, ELC is likewise not a trivial concept. Nonetheless, ELC is a prerequisite for ecosystem management and the conservation of biological diversity simply because ecosystems must be described, characterized and spatially-located before they can be managed. Regarding the current status and future direction of ELC, mainly in relation to forest management: 1) approaches to ELC construction and utilization have shifted considerably over the past 2 decades; 2) there appears to be a current consensus regarding basic approaches to ELC; 3) spatial scale is a critical variable that must be addressed by ELCs; 4) ELCs must strive to more directly address management objectives; 5) natural ecosystem functions need to be better integrated within ELC frameworks; and, 6) the need for quality, georeferenced ELC-related data will continue to grow.     

Brown trout as a sentinel organism for organic pollution in the field using catalytic and immunochemical assays of cytochrome P-450 1A

The measurement in some living organisms of adequate biomarkers (e.g. cytochrome P-450) to assess the organic pollution in freshwater ecosystems is well established. However, the sensitivity of this approach depends on the analytical measurement method employed and on the chosen living organism for the biomonitoring. Three analytical methods were compared for measuring cytochrome P-450 1A levels in wild brown trout (Salmo trutta): a catalytic one, based on measurement of the ethoxyresorufin-O-deethylase (EROD) activity, and two immunochemical methods, namely, enzyme-linked immunosorbent assay (ELISA) and western blotting. The P-450 1A levels in those animals from a river located in an industrialized area (Trubia River, Northern Spain) and also from individuals living in a low-contamination reference area have been studied. Significant differences (Mann-Whitney U-test, P < 0.01) between rivers were found (ELISA and EROD assays), with the values for Trubia river being similar to those observed in laboratory experiments with well known P-450 1A inducers. However, no significant differences were observed in terms of sex and age. Western blot analysis confirmed the presence of a single band of 56 kDa (corresponding with P-450 1 A protein) in microsomes of fish caught in the Trubia river. On the other hand, and associated with the chemical analysis of PAHs in the waters of both rivers by SPME-GC-MS, high levels of naphthalene (P-450 1A inducer) in the contaminated river were found. In brief, a wide difference between basal levels and P-450 1A induction levels could be detected in trout living in natural field conditions using both EROD activity assay and immunochemical methods. Therefore, brown trout could constitute a good sentinel organism to biomonitor the exposure to PAHs in rivers using P-450 1A measurements.