Comparison of biotic indices for water quality diagnosis in the Duero Basin (Spain)

Blanco, Saúl; Bécares, Eloy; Cauchie, Henry-Michel; Hoffmann, Lucien; Éctor, Luc

doi:10.1127/lr/17/2007/267

Cited by 26 publications

(25 citation statements)

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“…The DA results confirmed the sensitivity of diatoms to organic pollution, as indicated in many other studies (e.g., Van Dam et al, 1994;Rimet et al, 2005;Dere et al, 2006;Blanco et al, 2007) and also to nutrient load (e.g., Weckströ m and Juggins, 2005;Dela-Cruz et al, 2006;Potapova and Charles, 2007;Blanco et al, 2007) with all variables in the category of nutrients and organic contamination being related to the indices and model outputs at least once. Among those, nitrates, nitrites, phosphates, water oxygenation and conductivity were the variables more often chosen by the DA.…”

Section: Discussionsupporting

confidence: 72%

“…These results can be explained by the common sensitivity of BDI, CEC and SPI to nutrients and e c o l o g i c a l i n d i c a t o r s 9 ( 2 0 0 9 ) 4 9 7 -5 0 7 organic contamination (Descy and Coste, 1991;Gomà et al, 2005;Blanco et al, 2007). The lower correlations between the GDI (Rumeau and Coste, 1988) and the others maybe due to the lower level of taxonomic discrimination (genus) used in this index when all other methods (including the model) used species or subspecies.…”

Section: Discussionmentioning

confidence: 99%

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A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

Feio

Almeida

Craveiro

et al. 2009

Ecological Indicators

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Freshwater Diatoms Indices Predictive model a b s t r a c tDiatoms 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.

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

Feio

Almeida

Craveiro

et al. 2009

Ecological Indicators

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“…Diatom indices are known to correlate more significantly with water chemical variables, within continental waters, while macroinvertebrate-or plant-based methods are more sensitive to changes affecting structural parameters [3].…”

Section: Introductionmentioning

confidence: 99%

Automated Diatom Classification (Part A): Handcrafted Feature Approaches

et al. 2017

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This paper deals with automatic taxa identification based on machine learning methods. The aim is therefore to automatically classify diatoms, in terms of pattern recognition terminology. Diatoms are a kind of algae microorganism with high biodiversity at the species level, which are useful for water quality assessment. The most relevant features for diatom description and classification have been selected using an extensive dataset of 80 taxa with a minimum of 100 samples/taxon augmented to 300 samples/taxon. In addition to published morphological, statistical and textural descriptors, a new textural descriptor, Local Binary Patterns (LBP), to characterize the diatom's valves, and a log Gabor implementation not tested before for this purpose are introduced in this paper. Results show an overall accuracy of 98.11% using bagging decision trees and combinations of descriptors. Finally, some phycological features of diatoms that are still difficult to integrate in computer systems are discussed for future work.

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“…All the algal metrics were briefly described in Table 1, and all of them (except for TAD) were calculated based on taxa biovolumes. To evaluate the statistical significance of each correlation between biotic metrics and environmental variables, we used 'correlation index' (CoI) and Cumulative_R 2 according to Blanco et al (2007):…”

Section: Data Calculation and Analysesmentioning

confidence: 99%

A comparison of phytoplankton assemblages generated by two sampling protocols in a German lowland catchment

Schmalz

Fohrer

2011

Ann. Limnol. - Int. J. Lim.

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-Research in the phytoplankton community has become an important part of the overall water-quality monitoring. However, to date studies in small rivers and streams were still scarce and sampling methods were also diverse and not as well developed as in lakes or large rivers. We investigated whether two sampling protocols collected different phytoplankton assemblages within a lowland catchment and, consequently, influenced the outcome of bio-assessment. Data collected from 77 sites by plankton net (PLNET) collection and sedimentation (SEDIM) protocols were analyzed. Median Bray-Curtis (BC) similarity between phytoplankton assemblages generated by the two protocols was 48.5% (range: 7.5-82.0%), and sites with the lowest BC similarities tended to have lower chlorophyll a (Chl a), water temperature (WT), total suspended solid (TSS) and volatile suspended solid (VSS), but higher channel width and water depth, than other sites with higher BC similarities. Reduced total algal density and biomass, but higher species richness, were observed by the PLNET protocol. However, overall phytoplankton assemblages generated by the two protocols were similar, as indicated by dominant species (paired t-test, P > 0.05) and non-metric multidimensional scaling (NMDS) ordination. Nevertheless, from the phytoplankton-based bio-assessment point of view, PLNET protocol was a better method compared with SEDIM protocol because algal data collected by PLNET protocol had higher relationship with environmental variables as indicated by 'Correlation Index' (CoI), Cumulative_R 2 and canonical correspondence analysis (CCA).

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Comparison of biotic indices for water quality diagnosis in the Duero Basin (Spain)

Cited by 26 publications

References 0 publications

A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

A comparison between biotic indices and predictive models in stream water quality assessment based on benthic diatom communities

Automated Diatom Classification (Part A): Handcrafted Feature Approaches

A comparison of phytoplankton assemblages generated by two sampling protocols in a German lowland catchment

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