Characteristics of phytoplankton distribution for assessment of water quality in the Zhalong Wetland, China

Zhang, N. N.; Zang, Shuying

doi:10.1007/s13762-015-0795-0

Cited by 19 publications

(11 citation statements)

References 28 publications

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“…Compared to single factors such as chemical factors, biomass or appear of indicator species, diversity indices are more integrated and relevant assessment approach with vital complete ecological information. Phytoplankton diversity indices were deemed to effective reflect the response of biotic matrices to environmental change in lakes or reservoirs ecosystem 21 , 48 . However, the application of phytoplankton diversity indices in trophic states assess of rivers is still weak.…”

Section: Discussionmentioning

confidence: 99%

Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River

Meng

et al. 2020

Sci Rep

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The relationship between biodiversity and ecological functioning is a central issue in freshwater ecology, but how this relationship is influenced by hydrological connectivity stress is still unknown. In this study we analyzed the dynamic of the phytoplankton alpha diversity indices and their relationships with trophic state in two hydrologically connected aquatic habitats (Jinhewan Wetland and Harbin Section of the Songhua River) in the Songhua River Basin in northeast China. We hypothesized that the phytoplankton alpha-diversity indices have the potential to provide a signal linking trophic state variation in hydrologically connected aquatic habitats. Our results showed the Cyanophyta and Bacillariophyta were abundant at most stations. T-test showed that phytoplankton alpha diversity indices varied significantly between rainy season and dry season. Trophic State Index recorded that a meso-trophic to eutrophic states of two connected habits during study period. Multivariate statistical analysis revealed that the dynamic of phytoplankton alpha diversity index was closely associated with trophic states change. Our result indicated that hydrological connectivity is a key factor influenced phytoplankton community assembly. In addition, it is beneficial to develop an integrated approach to appropriately describe and measure the trophic state variations of hydrologically connected aquatic habits in freshwater ecosystem.

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Section: Discussionmentioning

confidence: 99%

Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River

Meng

et al. 2020

Sci Rep

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“…Biological diversity (H') and evenness (J) were used to analyze the community structure (Shannon and Weaver, 1949;Pielou, 1966). Based on Shannon-Wiener diversity index, results could be classified as oligotrophic (>3), β-mesotrophic (2-3), α-mesotrophic (1-2), and eutrophic (0-1) (Zhang and Zang, 2015).…”

Section: Pfgs Trophic State and Diversity Indicesmentioning

confidence: 99%

“…Phytoplankton diversity index has also been used to understand the variation of phytoplankton species throughout the year and the Shannon-Wiener Diversity Index (H') values of all stations were found between 1 and 2 in Lake İznik. Zhang and Zang (2015) indicated that values between 1-2 refer to α-mesotrophic conditions. H' and J indexes were lower in 2013 as a result of the more frequent bloom episodes.…”

Section: Trophic State and Ecological Statusmentioning

confidence: 99%

Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Oğuz¹,

Akçaalan²,

Köker³

et al. 2020

Turk J Bot

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This study evaluated the phytoplankton communities based on functional groups to obtain information about the water quality of Lake İznik, Turkey. The phytoplankton consisted of 103 taxa, classified in 12 phytoplankton functional groups (PFGs), with dominancy of 5 species, Chrysosporum ovalisporum, Dolichospermum mendotae, Planktothrix rubescens, Fragilaria capucina, and Mougeotia sp. The Shannon-Wiener diversity index (H') was calculated and results ranged between 0.41 and 2.47. The redundancy analysis (RDA) and Spearman's correlation analysis were used to assess the relationships between the PFGs and environmental variables. According to the multiple comparisons of the data, the main efficient factors that determined the seasonal distribution of the PFGs were TP, DO, SiO 2 , SD, and pH. The ecological requirements of the dominant PFGs (

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“…Phytoplankton, as primary producers in the wetland hydrosphere ecosystem, have rapid reproduction and are sensitive to environmental changes. The species composition abundance and the dominant species are important community structure characteristics and critical indicators reflecting water quality [ 1 , 2 ]. They are a critical component in determining the primary productivity of autotrophic water bodies and material cycling and energy flow [ 3 ]; for example, nutrient level, temperature, and light conditions have a strong influence on phytoplankton community structure [ 4 , 5 , 6 ], which is specifically manifested in their growth and reproduction rate.…”

Section: Introductionmentioning

confidence: 99%

“…Changes in the other water environment factors will also lead to changes in community structure of phytoplankton [ 13 ]; therefore, the temporal and spatial distribution pattern of phytoplankton can reflect the changes in wetland ecological conditions. Evaluating the characteristics of phytoplankton community structure is one of the crucial ways to explore the functions of wetland ecosystems [ 2 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton Community Structure Dynamics in Relation to Water Environmental Factors in Zhalong Wetland

Zhao

Chai

et al. 2022

IJERPH

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Phytoplankton, as the primary producer of the wetland water ecosystem’s food chain, are very sensitive to environmental changes. In order to explore the significance of phytoplankton in protecting ecosystem integrity, the wetland ecosystem in Zhalong wetland, one of the most important international wetlands, was selected as the research area. For the study, 81 sampling sites were set up in the whole wetland, and phytoplankton samples and water quality environmental factors were measured in spring, summer, and autumn of 2019. The phytoplankton community structure and water environmental factors were evaluated by canonical correspondence analysis (CCA). The main research findings are as follows: a total of 292 species and variants of phytoplankton belonging to 8 phyla and 110 genera were identified within Zhalong wetland in spring, summer, and autumn 2019. The total phytoplankton abundance and biomass in summer were higher than in spring and autumn, and Cyclotella meneghiniana was the most dominant species in three seasons and three areas. The results of random forest are generally consistent with the results of CCA in spring, when the main environmental factors affecting phytoplankton were NTU and WT; the result in summer and autumn agreed with those of CCA, which awaits further study. In addition, the phytoplankton is mainly affected by WT, depth, and DO in the lake area, TP, DO, and NTU in the river area, and WT in the wetland area.

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Characteristics of phytoplankton distribution for assessment of water quality in the Zhalong Wetland, China

Cited by 19 publications

References 28 publications

Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River

Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River

Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Phytoplankton Community Structure Dynamics in Relation to Water Environmental Factors in Zhalong Wetland

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