Spatial Pattern of Benthic Diatoms and Water Quality Assessment Using Diatom Indices in a Subtropical River, China

Xiang, Tao; Ma, Pelosi; Xia, Xiaoling; Zhang, Quanfa

doi:10.1002/clen.201200152

Cited by 25 publications

(20 citation statements)

References 51 publications

(66 reference statements)

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“…In addition to nutrient availability, water flow was also identified as an important factor in structuring diatom communities in this study, which again is consistent with previous studies conducted both locally and internationally (e.g. Ruth, 1977;Biggs et al, 2005;Song, 2007;Tan et al, 2014b;Bere et al, 2013;Dalu et al, 2014a).…”

Section: Physico-chemical Factors Influencing Diatom Communitiessupporting

confidence: 92%

“…land use and/or cover) likely also influenced the benthic diatom community structure and distribution in the Kowie River system. Tan et al (2014b) also observed similar findings in the Han River, where he suggested that factors such as substratum, ultimate factors (i.e. land use) and biological pressure such as predation (i.e.…”

Section: Physico-chemical Factors Influencing Diatom Communitiesmentioning

confidence: 56%

“…Diatom indices have been used extensively for water pollution and trophic status assessment in America, Asia and Europe (Descy, 1979;Leclerq and Maquet, 1987;Prygiel et al, 1996;Rott et al, 1997;Tan et al, 2014b;Venkatachalapathy and Karthikeyan, 2015) of the water column were associated with shifts in the diatom community composition along the length of the river. Diatombased water quality indices calculated during this investigation were, with few exceptions (e.g.…”

Section: Water Quality Status Assessed By Diatom Indicesmentioning

confidence: 99%

“…Because diatoms are very sensitive to environmental change and/or disturbances such as eutrophication, acidification, land use and pollution, they are considered to be powerful indicators of water quality in freshwater systems (Harding et al, 2005;Taylor et al, 2007a;Walsh and Wepener, 2009;Bere and Tundisi, 2010a;Wu et al, 2012;Rimet et al, 2015). Moreover diatoms have distinct ecological tolerances (Bahls, 1993) and short generation time (Zalack et al, 2010;Tan et al, 2014b), making them suitable indicator organisms for water quality changes over short time scales. Diatoms have been employed as water quality indicators in Europe (Kelly et al 1998;Prygiel et al, 1999), North America (Stevenson and Pan, 1999;Lowe and Pan, 1996;Winter and Duthie, 2000;Lavoie et al, 2006Lavoie et al, , 2014, South America (Lobo et al, 1996;Bere and Tundisi, 2011), Australia (Chessman et al, 1999;John, 2000), Asia (Lobo et al, 1995;Rothfritz et al, 1997) and, to a lesser extent, Africa (Bellinger et al, 2006;Ndirutu et al, 2006;Taylor et al, 2007a, b;Bere et al, 2014;Mangadze et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Diatom indices are commonly used to summarise ecological and hydrological information provided by diatom assemblages (Almeida et al, 2014), and have been developed and applied for water quality assessment worldwide (Bate et al, 2002;Taylor et al, 2007a, b;Tan et al, 2014b). Most of the indices employed are based on Zelinka and Marvan's (1961) approach, which considers weighted averages of taxa's sensitivity to nutrients and organic degradation, as well as pH and salinity (Taylor et al, 2007b;Almeida et al, 2014;Bere et al, 2014;Hlúbiková et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of water quality based on diatom indices in a small temperate river system, Kowie River, South Africa

Dalu

Bere

Froneman

2016

WSA

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This study aimed to assess the impact of land use patterns on water quality and benthic diatom community structure and to test the applicability of diatom indices developed in other regions of the world to a small temperate southern African river system. Sampling was conducted at eight study sites along the length of the river on four separate occasions. Multivariate data analyses were performed on the diatom community dataset to specify the main gradients of floristic variation and to detect and visualize similarities in diatom samples in relation to land-use patterns within the catchment. One hundred and twelve (112) diatom species belonging to 36 genera were recorded during the study. Canonical correspondence analysis (CCA) demonstrated that variations in the benthic diatom community structure were best explained by ammonium, nitrate, conductivity, pH, temperature, resistivity and water flow. OMNIDIA was used for calculation of selected diatom water quality indices. A number of the indices, e.g., the trophic diatom index (TDI), eutrophication/pollution index and biological index of water quality (BIWQ), either under-or over-estimated the water quality of the system. With few exceptions, there were no significant correlations (p> 0.05) between the diatom indices' values and the nutrient variables. The absence of any significant correlations between the diatom indices' values and selected physico-chemical variables suggests that indices developed in other regions of the world may not be suitable for temperate southern African rivers.

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Section: Physico-chemical Factors Influencing Diatom Communitiessupporting

confidence: 92%

Section: Physico-chemical Factors Influencing Diatom Communitiesmentioning

confidence: 56%

Section: Water Quality Status Assessed By Diatom Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of water quality based on diatom indices in a small temperate river system, Kowie River, South Africa

Dalu

Bere

Froneman

2016

WSA

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Dynamic Changes of Animal Community Composition and Distribution by Spartina Invasion in Yancheng Beach Wetland, China

Xie

Wang

Zhao

et al. 2015

CLEAN Soil Air Water

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The total beach animal specimen of the survey was 795.5, which belong to 17 species of 14 families in five classes under four phyla. Batillaria zonalis Bruguiere was the dominant species in the majority study sites during all seasons. Statistical analysis of the sampled data was performed, which covered the community composition, distribution of the number, diversity index, the principal component analysis (PCA), Spielmann rank correlation matrix analysis, Kulczynski comparative analysis of species richness, Mine‐Laying–Curtis clustering of several areas in four seasons. The results showed that the Shannon–Wiener diversity index was higher in January and lower in August. The Simpson diversity indices in the different study sites were quite variable, with the highest being at H1 site in April, and lowest at H3 site in August. The Berger–Parker dominance index for the animal is much different in all the sampling sites, which could be either relatively large, or high to low. The role of PCA had the same or opposite direction of the three components. The Spielmann rank correlation matrix analysis showed a positive and high degree of linear correlation among some groups. The Kulczynski comparative analysis demonstrated that the correlation coefficient between G‐point and H3‐point in January and April was bigger, and it was smaller between H2 site and other sites in October. Species richness displayed a regular distribution. The Mine‐Fields–Curtis clustering analysis showed that the similarity in different seasons was good, with the highest similarity reaching 87.1302 at H3 site between January and October, and the lowest similarity only reaching 3.1693 at the H2 site between August and October.

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The performance of diatom indices in assessing temporal changes in water quality in a large lowland river ecosystem

Xiang

Liu

Burford

et al. 2020

River Research & Apps

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Benthic diatoms are often included in bioassessment programs of river health as sensitive indicators of nutrient status and pollution. Many diatom‐based indices have been developed and are frequently used to infer conditions in water quality. However, concerns have been raised regarding the robustness of these indices in riverine systems that have natural variability in environmental conditions, including seasonal change of water quality parameters, especially in terms of physical and chemical characteristics of water, which also influence diatom community composition. Here, we used three diatom‐based indices (Diatom‐based eutrophication/pollution index, EPI‐D; Biological Diatom Index, IBD; Watanabe's Index, WAT), which have previously been validated as robust for water quality assessment in China, to explore their response to temporal changes in water quality and diatom community structure in a riverine network over time. Concentrations of total nitrogen (TN), nitrate nitrogen (NO3‐N), total phosphorus (TP), temperature (t), and turbidity in April 2010 were significantly higher than in November 2007. The 141 diatom taxa we found in April 2010 were fewer than the 194 taxa we found in November 2007. On both occasions, the three diatom indices responded to same water quality variables (phosphorus and chloride or nitrogen) as reported in previous studies. Of the three diatom indices tested, EPI‐D provided the most robust measure of natural seasonal changes in water quality and indicated the phosphorus and chloride. Our study confirms that these three diatom indices are effective for evaluating long‐term water quality in large rivers.

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Spatial Pattern of Benthic Diatoms and Water Quality Assessment Using Diatom Indices in a Subtropical River, China

Cited by 25 publications

References 51 publications

Assessment of water quality based on diatom indices in a small temperate river system, Kowie River, South Africa

Assessment of water quality based on diatom indices in a small temperate river system, Kowie River, South Africa

Dynamic Changes of Animal Community Composition and Distribution by Spartina Invasion in Yancheng Beach Wetland, China

The performance of diatom indices in assessing temporal changes in water quality in a large lowland river ecosystem

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