Can plankton communities be considered as bio-indicators of water quality in the Lagoon of Venice?

Bianchi, Franco; Acri, Francesco; Aubry, Fabrizio Bernardi; Berton, Andrea; Boldrin, A.; Camatti, Elisa; Cassin, Daniele; Comaschi, A.

doi:10.1016/s0025-326x(03)00111-5

Cited by 123 publications

(78 citation statements)

References 12 publications

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“…As highlighted in previous studies [2,21], planktonic organisms are ideal for monitoring the conditions of aquatic environments. Recently, PCR-DGGE fingerprinting has also been applied to study the diversity and dynamics of natural plankton community [15,23].…”

Section: Discussionmentioning

confidence: 99%

“…Local mussels [Cristaria plicata (Leach)] and submerged macrophytes (Myriophyllum spicatum) were found to be unaffected by this process [26], but its effects on other more sensitive organisms, such as plankton, have not been evaluated. These planktonic organisms are very sensitive to physicochemical perturbations, and environmental changes are generally marked by rapid shifts in their density and diversity [1,2,19]. Furthermore, planktonic organisms play an important ecological role when a lake switches between macrophyte-dominant and phytoplankton-dominant states.…”

Section: Introductionmentioning

confidence: 99%

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Plankton Community Succession in Artificial Systems Subjected to Cyanobacterial Blooms Removal using Chitosan-Modified Soils

Yan

Feng

et al. 2008

Microb Ecol

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Using artificial systems to simulate natural lake environments with cyanobacterial blooms, we investigated plankton community succession by polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) fingerprinting and morphological method. With this approach, we explored potential ecological effects of a newly developed cyanobacterial blooms removal method using chitosan-modified soils. Results of PCR-DGGE and morphological identification showed that plankton communities in the four test systems were nearly identical at the beginning of the experiment. After applying the newly developed and standard removal methods, there was a shift in community composition, but neither chemical conditions nor plankton succession were significantly affected by the cyanobacteria removal process. The planted Vallisneria natans successfully recovered after cyanobacteria removal, whereas that in the box without removal process did not. Additionally, canonical correspondence analysis indicated that other than for zooplankton abundance, total phosphorus was the most important environmental predictor of planktonic composition. The present study and others suggest that dealing with cyanobacteria removal using chitosan-modified soils can play an important role in controlling cyanobacterial blooms in eutrophicated freshwater systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Plankton Community Succession in Artificial Systems Subjected to Cyanobacterial Blooms Removal using Chitosan-Modified Soils

Yan

Feng

et al. 2008

Microb Ecol

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“…Planktonic organisms are considered good indicators of water quality and aquatic ecosystem health because many are highly sensitivity to physical and chemical perturbations and ecosystem changes are reflected in relatively rapid density and diversity shifts associated with short life spans [1,2,20]. However, taxonomic identification has historically been a difficult task (even for the seasoned taxonomist) due to the lack of distinguishing features, especially for many nondescript, yet abundant, organisms.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity of Plankton Community as Depicted by PCR-DGGE Fingerprinting and its Relation to Morphological Composition and Environmental Factors in Lake Donghu

et al. 2007

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To collect information about the genetic diversity of the plankton community and to study how plankton respond to environmental conditions, plankton samples were collected from five stations representing different trophic levels in a shallow, eutrophic lake (Lake Donghu), and investigated by PCR-DGGE fingerprinting. A total of 100 bands (61 of 16S rDNA bands and 39 of 18S rDNA bands) were detected. The DGGE bands unique to any single station accounted for 38% of the total bands, whereas common bands detected at all five stations accounted for only 11%. Using UPGMA clustering and MDS ordination of DGGE fingerprints, stations I and II were found to initially group together into one cluster, which was later joined by station V. Stations III and IV were isolated into two separate groups of one station each. Some differences in grouping relationships were found when analysis was completed on the basis of chemical characteristics and morphological composition, with zooplankton composition showing the greatest variability. However, the most similar stations (I and II) were always initially grouped into one cluster. Moreover, stations that exhibited the same or similar trophic level (stations III and IV), but different concentrations of heavy metals, were further differentiated by the DGGE method. Results of the present study indicated that PCR-DGGE fingerprinting was more sensitive than the traditional methods, as other studies suggested. Additionally, PCR-DGGE appears to be more appropriate for diversity characterization of the plankton community, as it is more canonical, systematic, and effective. Most importantly, fingerprinting results are more convenient for the comparative analyses between different studies. Therefore, the use of the described fingerprinting analysis may provide an operable and sensitive biomonitoring approach to identify critical, and potentially negative, stress within an aquatic ecosystem.

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“…As crucial components of the aquatic food chain, the qualitative and quantitative changes in zooplankton population might bring a consequential impact on the whole aquatic ecosystem (Bianchi et al, 2003;Basima et al, 2006;Maazouzi et al, 2008;Medeiros and Arthington, 2008). Thus, the impact assessment of zooplankton community is important during conducting the environmental protection planning or restoration projects.…”

Section: Introductionmentioning

confidence: 99%

Impacts of algal blooms removal by chitosan-modified soils on zooplankton community in Taihu Lake, China

Feng

et al. 2010

Journal of Environmental Sciences

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Can plankton communities be considered as bio-indicators of water quality in the Lagoon of Venice?

Cited by 123 publications

References 12 publications

Plankton Community Succession in Artificial Systems Subjected to Cyanobacterial Blooms Removal using Chitosan-Modified Soils

Plankton Community Succession in Artificial Systems Subjected to Cyanobacterial Blooms Removal using Chitosan-Modified Soils

Genetic Diversity of Plankton Community as Depicted by PCR-DGGE Fingerprinting and its Relation to Morphological Composition and Environmental Factors in Lake Donghu

Impacts of algal blooms removal by chitosan-modified soils on zooplankton community in Taihu Lake, China

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