Comparison of three functional classification approaches to characterize phytoplankton response to environmental heterogeneity: a case study in NE China wetlands

Lü, Xinxin; Sui, Fengyang; Liu, Yan; Fan, Yawen

doi:10.1080/02705060.2021.2022023

Cited by 5 publications

(4 citation statements)

References 41 publications

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“…According to the water quality index, N and P content of the water bodies are high and in the range of mesotrophic level to light eutrophic level. In an earlier study, a contribution to elevated TSI (∑) in Longfeng Wetland, NE China, was attributed to the wastewater discharged by nearby industries and residents [ 6 ]. We found that some organic pollutants from the agricultural production process were discharged into the water, so that the COD concentration increased and a large number of pollution-resistant species such as Scenedesmus quadricauda and Asterionella formosa were found, indicating the organic pollutants related to agricultural can change the phytoplankton community structure [ 19 , 39 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

“…Because of their sensitivity to environmental conditions, phytoplankton provide information on the quality of habitats and can reflect changes in different environmental gradients. It is important to evaluate the physical, chemical, and biological processes of aquatic ecosystems by investigating the phytoplankton populations [ 4 – 6 ]. Therefore, phytoplankton have been widely used as an indicator of the nutritional status of aquatic environments and have increasingly been used to assess water quality, in particular, to monitor the eutrophication of lakes [ 7 – 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Ecological assessment of water quality in freshwater wetlands based on the effect of environmental heterogeneity on phytoplankton communities in Northeast China

Hui,

Liu,

Wei

et al. 2024

PLoS ONE

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Phytoplankton community characterized by strong vitality response to environmental change in freshwater ecosystems. This study aims to evaluate the effectiveness of using phytoplankton diversity as a water quality indicator in wetlands, and find out the main environmental variables affecting the distribution of phytoplankton. From 2020 to 2021, we examined phytoplankton assemblages and water environmental variables in spring, summer, and autumn at eight sampling sites from Hulanhe Wetland, Northeast (NE) China. The results showed that Bacillariophyta was the dominant species. Phytoplankton composition and abundance differed among sampling sites in each season; the abundance in summer (613.71 × 104 ind. L–1) was higher than that in autumn and spring. The water quality assessment of the trophic state index (TSI) based on the four physicochemical indicators was compared with phytoplankton diversity indices, which indicated that the phytoplankton community was stable, and these two indices were significantly lower in summer than in spring and autumn. According to redundancy analysis (RDA), total phosphorus (TP) and nitrogen (TN) were the main environmental variables affecting the distribution of phytoplankton. Temperature and dissolved oxygen (DO) changes also played a role, and their impact on the community was discussed. This work can provide relevant scientific references on the usefulness of phytoplankton diversity structure in assessing water quality in cold regions, in which the succession can be significantly affected by nutrients and temperatures.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ecological assessment of water quality in freshwater wetlands based on the effect of environmental heterogeneity on phytoplankton communities in Northeast China

Hui,

Liu,

Wei

et al. 2024

PLoS ONE

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“…Later, the classification was updated to eight groups by defining nitrogen-fixing cyanobacteria species as a separate group (Reynolds et al, 2014). Morphologically based functional groups (MBFGs) have a close relationship to environmental conditions, and although they have been efficiently applied to a variety of freshwater environments, in some tropical regions, relatively few studies have been reported, such as in Africa and Asia (Gebrehiwot et al, 2017;Hu et al, 2013;Lu et al, 2021). Additionally, the MBFG approach has the advantage of being more easily applicable over a large number of samples and is suitable for environments with different stable states (Izaguirre et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The influence of trophic status and seasonal environmental variability on morpho-functional traits in tropical man-made shallow lakes

Vanderley

Becker

Panosso

et al. 2022

Environ Monit Assess

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In the tropics, seasons are delimitated by the extent of rainfall resulting in seasonal differences in water parameters shaping phytoplankton community dynamics. Dry periods can intensify eutrophication and often result in seasonal or even perennial cyanobacterial dominance. This study was developed to evaluate phytoplankton response to trophic state and seasonal differences of environmental filters (dry and rainy periods) using the morphology-based functional groups (MBFG) approach. We also aimed at identifying environmental thresholds of each MBFG dominance in six man-made lakes located in the tropical semiarid region of Brazil. Our results showed clear MBFG association with lakes’ trophic states. The dominant groups in mesotrophic conditions were members of MBFGs V (unicellular flagellates) and VI (non-flagellated with a siliceous exoskeleton), and in meso-eutrophic MBFG IV (medium size without specialized traits) dominated. Conversely, MBFG VII (with mucilage and aerotopes) and VIII (nitrogen-fixing cyanobacteria) dominated mostly under eutrophic conditions, though linked to shallower euphotic zones. Light and phosphorous were the most important environmental thresholds associated with MBFG’s dominance. Overall, most of the lakes displayed seasonal differences in environmental filters. In contrast to what was expected, the rainy season was associated with higher nutrients, suspended solids, and reduced euphotic depth compared to the dry season. Our results, overall, show that the effects of seasonality varied across lakes and highlight eutrophication as the main environmental factor for MBFG selection suggesting reduced seasonality effects during dry years in the tropics.

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“…Organic pollutants are oxidized and decomposed in water, and become nutrients that can be used by phytoplankton growth, thus affecting the number and distribution of phytoplankton [ 7 , 8 , 9 ]. In China’s wetlands, Bacillariophyta, Cyanophyta, and Chlorophyta account for a large proportion of phytoplankton community, which are greatly affected by seasonal changes and closely related to water temperature [ 10 , 11 , 12 ]. 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.…”

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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Comparison of three functional classification approaches to characterize phytoplankton response to environmental heterogeneity: a case study in NE China wetlands

Cited by 5 publications

References 41 publications

Ecological assessment of water quality in freshwater wetlands based on the effect of environmental heterogeneity on phytoplankton communities in Northeast China

Ecological assessment of water quality in freshwater wetlands based on the effect of environmental heterogeneity on phytoplankton communities in Northeast China

The influence of trophic status and seasonal environmental variability on morpho-functional traits in tropical man-made shallow lakes

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

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