Diatoms are better indicators of urban stream conditions: A case study in Beijing, China

Chen, Xiang; Zhou, Weiqi; Pickett, Steward T. A.; Liu, Weifeng; Han, Lu; Ren, Yangang

doi:10.1016/j.ecolind.2015.06.039

Cited by 63 publications

(37 citation statements)

References 60 publications

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“…Among-region variation in species-specific and community-level responses of diatoms to water chemistry has also been observed elsewhere (Charles et al 2006, J€ uttner et al 2010, Chen et al 2016. For example, Chen et al (2016) found that diatom species indicating high nutrient conditions in U.S. streams occurred in low nutrient streams in China suggesting that diatom niches were not conserved. However, studies from different regions should be compared with caution as morphological taxonomic identification may contain locally adapted morphotypes of species (Rose and Cox 2014).…”

Section: Discussionmentioning

confidence: 69%

“…For example, Chen et al. () found that diatom species indicating high nutrient conditions in U.S. streams occurred in low nutrient streams in China suggesting that diatom niches were not conserved. However, studies from different regions should be compared with caution as morphological taxonomic identification may contain locally adapted morphotypes of species (Rose and Cox ).…”

Section: Discussionmentioning

confidence: 99%

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Are drivers of microbial diatom distributions context dependent in human‐impacted and pristine environments?

Pajunen

Jyrkänkallio‐Mikkola

Luoto

et al. 2019

Ecological Applications

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Species occurrences are influenced by numerous factors whose effects may be context dependent. Thus, the magnitude of the effects and their relative importance to species distributions may vary among ecosystems due to anthropogenic stressors. To investigate context dependency in factors governing microbial bioindicators, we developed species distribution models (SDMs) for epilithic stream diatom species in human‐impacted and pristine sites separately. We performed SDMs using boosted regression trees for 110 stream diatom species, which were common to both data sets, in 164 human‐impacted and 164 pristine sites in Finland (covering ~1,000 km, 60° to 68° N). For each species and site group, two sets of models were conducted: climate model, comprising three climatic variables, and full model, comprising the climatic and six local environmental variables. No significant difference in model performance was found between the site groups. However, climatic variables had greater importance compared with local environmental variables in pristine sites, whereas local environmental variables had greater importance in human‐impacted sites as hypothesized. Water balance and conductivity were the key variables in human‐impacted sites. The relative importance of climatic and local environmental variables varied among individual species, but also between the site groups. We found a clear context dependency among the variables influencing stream diatom distributions as the most important factors varied both among species and between the site groups. In human‐impacted streams, species distributions were mainly governed by water chemistry, whereas in pristine streams by climate. We suggest that climatic models may be suitable in pristine ecosystems, whereas the full models comprising both climatic and local environmental variables should be used in human‐impacted ecosystems.

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Section: Discussionmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Are drivers of microbial diatom distributions context dependent in human‐impacted and pristine environments?

Pajunen

Jyrkänkallio‐Mikkola

Luoto

et al. 2019

Ecological Applications

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show abstract

“…Benthic diatoms were collected on hard substrates according to the method described by Chen, et al (2016) [6], by brushing five substrates (stone, brick, wood, bamboo or five areas on the hard surfaces in urban area) over a surface area of 10 cm 2 . Diatom samples were kept in 100 mL plastic vials and fixed with Lugol solution.…”

Section: Diatom Collection Identificationmentioning

confidence: 99%

“…Therefore, they can accurately indicate water quality [2]. In addition, each group of aquatic communities can reflect the changes of water environment in different ways [6]. Aquatic communities such as phytoplankton, diatom, macroinvertebrates, zooplankton and fish have been used to assess the effects of pollutants on water quality.…”

Section: Introductionmentioning

confidence: 99%

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Use of benthic diatom indices for assessing ecological status of the Sai Gon river, Vietnam

Pham¹

2018

VJSTE

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Abstract:In the present study, the Biological diatom index (BDI) and the Trophic diatom index (TDI) were calculated for the assessment the ecological status and the water quality of the Sai Gon river in comparison with the physico-chemical variables. In addition, a multivariate method was used to elucidate the main environmental variables driving the diatom community. A total of 87 diatom species were identified and used to calculate the diatom indices. The results of the biological data indicate that ecological status of upstream has a fine water quality; however, the downstream of the river was moderately polluted, and in some cases, of poor status. Canonical correspondence analysis (CCA) permutation tests demonstrated that diatom community was divided into two groups that corresponded to rural and urban characteristics. The BDI and TDI indices showed sensitivity to environmental stressors and served as potential application for bio-monitoring and water quality assessment of surface water in tropical region.

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Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near‐natural catchment

Wu,

Liu,

et al. 2024

Ecology and Evolution

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Understanding the processes and mechanisms that shape the distribution patterns and variations of biodiversity along spatial gradients continues to be a priority for ecological research. We focused on the biodiversity of benthic diatom communities within a large near‐natural watershed. The objectives are: (1) to explore the overall spatial patterns of benthic diatom biodiversity; (2) to investigate the effects associated with watercourse position and environmental variables, as well as both common and rare species on two facets (i.e., taxonomic and functional) of alpha and beta diversity; and (3) to unveil the mechanisms underlying their spatial variations. Alpha diversity indices along the stream watercourse showed a clear increasing trend from upstream to downstream sites. Results of random forest regression identified conductivity as the primary factor influencing functional alpha diversity, while elevation emerged as the predominant factor for taxonomic alpha diversity. Beta diversity partitioning revealed that taxonomic beta diversity generally exceeded functional beta diversity. These diversity measures exhibited different patterns along the watercourse position: taxonomic beta diversity remained relatively consistent along the watercourse, whereas functional total beta diversity and its two components of middle stream sites were lower than those of upstream and downstream sites. Functional beta diversity was sustained by dominant and common species, while rare species made significant contributions to taxonomic beta diversity. Both taxonomic and functional beta diversity and its components displayed a stronger influence from spatial factors than from local environmental, geo‐climatic, and nutrient variables. Collectively, taxonomic and functional alpha and beta diversity demonstrated distinct responses to the main environmental gradients and spatial factors within our catchment, highlighting their different insights into diatom diversity. Furthermore, research is required to assess the generalizability of our findings to similar ecosystems. In addition, this study presents opportunities for expansion to include other taxa (e.g., macroinvertebrates and fish) to gain a comprehensive understanding of the driving mechanisms behind stream biodiversity.

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Diatoms are better indicators of urban stream conditions: A case study in Beijing, China

Cited by 63 publications

References 60 publications

Are drivers of microbial diatom distributions context dependent in human‐impacted and pristine environments?

Are drivers of microbial diatom distributions context dependent in human‐impacted and pristine environments?

Use of benthic diatom indices for assessing ecological status of the Sai Gon river, Vietnam

Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near‐natural catchment

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