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1.
Using Multiple Taxonomic Groups to Index the Ecological Condition of Lakes   总被引:6,自引:0,他引:6  
Biological indicators of communitiestypically reflect a common environmental signalreflecting the general condition of the ecosystem, as well asindividual signals by indicators differentiallysensitive to particular environmental conditions. Wedescribe here a method of integrating and interpretingsuch indicators from 19 New England lakes for fivetaxonomic groups (diatoms, benthos, zooplankton, fish,and birds). Our approach provides a systematicstandardized way to integrate multiple metrics fromdifferent taxonomic groups by addressing four elementscrucial to analyzing data from multiple indicators: covariate control, re-scaling of data, standardizing the sign of responses, and dimensional reduction. We evaluated the biologicalmetrics against individual environmental stressors andagainst multivariate physicochemical metricscharacterizing general anthropogenic stress among thelakes. The method detected a response to variationin the gross environmental condition of the lakes thatwas correlated across taxa and metrics. In addition,a differential response to near shore conditions wasdemonstrated for fish. The success of the approach inthis study lends support to its general application toecological monitoring involving complex data sets.  相似文献
2.
Assessment method for ecological condition of Xiangxi River system was studied by using 13 candidate metrics of epilithic diatom which can reflect conditions in pH, salinity, nitrogen uptake metabolism, oxygen requirements, saprobity, trophic state, morphological character and pollution tolerant capability etc. By one-way ANOVA, the metrics of relative abundance of acidobiontic algae (ACID), freshwater algae (FRESH), high oxygen requirement (HIGH-O), eutraphentic state (EUTRA) and mobile taxa (MOBILE) were suitable for distinguishing sites in different conditions. Then, the river diatom index (RDI) composed of these five metrics was used to evaluate ecological condition of the river. The results showed that the healthiest sites were in the Guanmenshan Natural Reserve (with the mean RDI of 79.73). The sites located in tributary of Jiuchong River also owned excellent state (mean RDI of 78.25). Mean RDI of another tributary – Gufu River and the main river were 70.85 and 68.45 respectively, and the unhealthiest tributary was Gaolan River (with mean RDI of 65.64). The mean RDI for all the 51 sites was 71.40. The competence of RDI was discussed with comparison of evaluation results of DAIpo and TDI, it can be concluded that multimetrics is more competent in assessment task.  相似文献
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硅藻指数在水环境监测与评价中的应用   总被引:5,自引:0,他引:5       下载免费PDF全文
介绍了硅藻种类组成对水环境状态的指示作用及硅藻指数法的基本原理,通过比较、分析发现:硅藻属指数适用于综合评价亚热带、热带地区的水体污染程度;硅藻模型相似性指数适用于评价气候稳定地区的水污染状况;生物硅藻指数适用范围广,稳定性最好;湖泊富营养化硅藻指数、营养指数、富营养化硅藻指数均为可靠的水体富营养化评价指数。指出目前硅藻的分类与鉴定体系不够完善,还应开展研究消除季节变化对硅藻指数方法稳定性的影响。  相似文献
4.
Of the many groups of organisms proposed for use in biomonitoring, assemblages of fish, algae, and benthic macroinvertebrates are the most commonly selected. Purported advantages and disadvantages of using these groups, along with those of zooplankton, were assembled from 65 different publications and websites. From these, 13 categories of advantages and nine of disadvantages were created. The diversity of the assemblage and its importance to the ecosystem were reported as advantages in >20% of citations for each group; these similarities suggest that some redundancy exists among the different groups in terms of these features. Likewise, sampling difficulties and lack of analytic metrics were disadvantages listed in >20% of citations for each group. Few reported advantages (e.g. recreational value of fish) or disadvantages (e.g. short generation time of algae) were unique for a particular assemblage. The validity of reported advantages and disadvantages were sometimes region specific, other times incorrect. The choice of which assemblage is most appropriate for a biomonitoring program ultimately depends on the characteristics of the area to be studied and the program objectives.  相似文献
5.
乌江中上游水体营养状况底栖硅藻指示性属种的研究   总被引:3,自引:1,他引:2  
首次对乌江中上游底栖硅藻和水环境因子间关系进行系统定量研究。对底栖硅藻和水环境因子进行主成分分析和相关分析。结果表明,总磷是影响底栖硅藻属种分布的第一显著因子。利用加权平均回归方法,计算出底栖硅藻属种对总磷指标响应的生态最佳值和忍耐值,提取出的 Nitzschia frustulum (Kütz.) Grun.、 Nitzschia fonticola Grun.、 Nitzschia palea (Kütz.) W. Sminth、 Surirella angusta Kütz. Nitzschia amphibia Grun.等17种硅藻是乌江中上游河流富营养化发生的指示性属种。而 Achnanthes minutissima Kütz.、 Cymbella affinis 、 Diatoma vulagaris Bory、 Navicula protracta (Grun.) Cleve等9种硅藻是乌江中上游中营养化水体的指示性属种,对较低营养水体有一定的指示意义。底栖硅藻指示性属种的提取对富营养化河流的治理和合理利用提供科学依据,为用硅藻监测、评价水质和建立河流水质监测体系提供理论基础。  相似文献
6.
Diatom assemblages from 83 epilithic samples taken from the Mesta River, Bulgaria, were regressed against three sets of predictor variables, i.e. environmental, spatial, and temporal. Redundancy analysis (RDA) of species and environmental data explained 36% of the diatom variance and extracted several important gradients of species distribution, associated with a downstream increase in nutrient levels, pH, temperature, and organic pollution. The inclusion of spatial and temporal variables in the RDA model captured additional 24% of the diatom variance and revealed three more gradients, a spatial gradient represented by higher order polynomial terms of latitude and longitude, and two temporal gradients of annual and seasonal variation. Partial RDAs demonstrated that the unique contribution of each predictor set to the explained diatom variance was the highest in the spatial dataset (16%), followed by the environmental (9%), and the temporal (7%) datasets. The remaining 28% of the variance was explained by the covariance of the predictor sets. This suggests that in biomonitoring of single stream basins, the cheap and simple account of space and time would explain most of the variance in assemblage composition obviating the necessity of expensive and time-consuming environmental assessments. The nature of the underlying environmental mechanisms can be easily inferred from the diatom composition itself.  相似文献
7.
The Landscape Development Intensity index (LDI), which is based on non-renewable energy use and integrates diverse land use activities, was compared to other measures of LU (e.g., %agriculture, %urban) to determine its ability for predicting benthic diatom composition in freshwater marshes of peninsular Florida. In this study, 70 small, isolated herbaceous marshes located along a human disturbance gradient (generally agricultural) throughout peninsular Florida were sampled for benthic diatoms and soil and water physical/chemical parameters (i.e., TP, TKN, pH, specific conductance, etc.). Landscape measures of percent agriculture, percent urban, percent natural, and LDI index values were calculated for a 100 m buffer around each site. The strongest relationships using Mantel's r statistic, which ranges from −1 to 1, were found between benthic diatom composition, the combined soil and water variables, and LDI scores (r=0.51, P<0.0001). Although similar, soil and water variables alone (r=0.45, P<0.0001) or with percent agriculture or percent natural were not as strongly correlated (both Mantel's r=0.46, P<0.0001). Little urban land use was found in the areas surrounding the study wetlands. Diatom data were clustered using flexible beta into 2 groups, and stepwise discriminant analysis identified specific conductance, followed by LDI score, soil pH, water total phosphorus, and ammonia, as cluster-separating variables. The LDI explained slightly more of the variation in species composition than either percent agriculture or percent natural, perhaps because the LDI can combine disparate land uses into a single quantitative value. However, the ecological significance of the difference between land use metrics and diatom composition is controvertible, and additional tests including more varied land uses appear warranted.  相似文献
8.
随着人类活动的加剧,赤水河生态状况受到越来越多的关注,全面了解赤水河的生态状况,识别影响生态状况的主要环境胁迫因子对于赤水河的管理十分重要。笔者分别于2016年春季(4月)和秋季(9月)对赤水河干流着生硅藻及主要环境指标展开系统调查,春季以曲壳藻属相对丰度、高需氧物种、高磷物种、Shannon-Wiener多样性指数为核心参数,秋季以低需氧物种、物种丰富度、高营养物种为核心参数,构建了着生硅藻多参数指标(D-MMIs)。对赤水河干流生态状况进行评估。结果表明:调查期间,赤水河干流中上游样点水体状况优于下游样点,并且春、秋季赤水河生态状况存在差异。D-MMIs与环境因子的回归分析结果显示:影响春季赤水河生态状况的环境因子为COD,影响秋季赤水河生态状况的环境因子为NH+4-N。构建的赤水河D-MMIs,能够较好地指示环境胁迫因子对赤水河生态状况的影响,对于指导赤水河的管理实践具有参考价值。  相似文献
9.
松花江哈尔滨段流域是哈尔滨市重要的水源地,也是松花江重要的组成部分,其生态环境问题一直受到国内外学者密切关注,且近年来松花江哈尔滨段水体改善程度较为明显,流域内水体变化程度越来越受到相关学者和民众的重视,研究松花江哈尔滨段水体变化趋势意义明显。该研究的创新性在于运用典范对应分析(CCA)探究藻类植物与环境因子变化的关系,并运用欧洲硅藻数据库(EDDI)验证主要环境因子的准确性。国内现行的一些常规理化指标单独评价水体质量较为单一,不能更好地满足现行的水环境管理要求,并且对于水环境的变化反应效果及准确度较低。该研究运用相关理化指标数据和藻类植物的种类及丰度等的年际变化,实现从单一理化指标评价改善为理化和生物指标双重评价,从而更加具体地反映出松花江哈尔滨段水体状况的变化趋势。  相似文献
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