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首页> 外文期刊>Ecological indicators >A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities
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A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

机译：基于底栖硅藻群落的溪流水质评价中生物指标与预测模型的比较

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摘要

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.
机译：硅藻由于其广泛的分布，非凡的可变性和整合水质变化的能力而被广泛用于河流生物评估中。最初在法国开发的特定比对敏感性指数（SPI），标准生物硅藻指数（BDI），欧洲经济共同体指数（CEC）和通用硅藻指数（GDI）在葡萄牙经常用于评估基于硅藻的河流生态质量社区。备选地，已经提出了由研究地点的社区与代表给定区域的未受干扰或最佳可用条件的一组参考地点的社区之间的比较所得出的预测模型，作为评估河流生态状况的有价值的方法。在本研究中，我们将上述四个广泛使用的基于硅藻的指数（SPI，BDI，CEC和GDI）和预测模型（MoDi）应用于葡萄牙中部的54个站点，以评估这五种方法对一系列人为干扰累积影响河流，由27个变量表示（例如，有机物富集，河道形态变化，河岸走廊的完整性，集水区的土地利用）。通过Spearman相关性，Boxplots和逐步判别分析对结果进行了比较分析。这项研究证实了硅藻对有机物和营养物污染的敏感性（由MoDi，BDI，CEC和SPI显示），并揭示了悬浮固体的重要性（通过MoDi，GDI和SPI）。除GDI以外，所有已应用的方法均显示了土地利用变化与硅藻的相关性。 MoDI还揭示了改变河段和河道的结构和形态的重要性，例如人工墙或路堤的建造和连通性的改变。 BDI还将其评估与河岸带完整性联系起来； SPI不能用于检测形态压力。 GDI评估的分歧最大，在揭示人为干扰方面效果不佳。因此，使用预测模型（MoDi）是评估葡萄牙中部河流的一种好方法，因为它表示了硅藻群落结构（物种丰富度和丰度）所反映的淡水系统的数量和质量变化的多样性。

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  • 来源
    《Ecological indicators》 |2009年第3期|497-507|共11页
  • 作者

    Maria J. Feio; Salome F.P. Almeida; Sandra C. Craveiro; Antonio J. Calado;

  • 作者单位

    Institute of Marine Research (IMAR), Department of Zoology, University of Coimbra, Largo Marques de Pombal, P-3004-517 Coimbra, Portugal;

    GeoBioTec - GeoBioSciences, GeoTechnologies and GeoEngineering (Research Unit), Department of Biology, University of Aueiro, P-3810-193 Aveiro, Portugal;

    GeoBioTec - GeoBioSciences, GeoTechnologies and GeoEngineering (Research Unit), Department of Biology, University of Aueiro, P-3810-193 Aveiro, Portugal;

    GeoBioTec - GeoBioSciences, GeoTechnologies and GeoEngineering (Research Unit), Department of Biology, University of Aueiro, P-3810-193 Aveiro, Portugal;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    bioassessment; freshwater; diatoms; indices; predictive model;

    机译：生物评估淡水;硅藻指标;预测模型;

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