Exploring the mesoscale connectivity of phytoplankton periodic assemblages' succession in northern Adriatic pelagic habitats

Vascotto, Ivano; Bernardi Aubry, Fabrizio; Bastianini, Mauro; Mozetič, Patricija; Finotto, Stefania; Francé, Janja

doi:10.1016/j.scitotenv.2023.169814

Cited by 4 publications

(3 citation statements)

References 57 publications

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“…Additionally, as the thermocline limited the vertical mixing of nutrients and organic matter, it prevented light from penetrating to deeper layers; thus, the photosynthetically active radiation intensity decreased rapidly with an increase in depth, thereby controlling photosynthesis and phytoplankton growth. Meanwhile, the thermocline exhibited the minimum value of Cond among the water layers during the study period, and the content of different types of anions and cations in the water was low [59], resulting in lower nutrient availability for phytoplankton and a weaker correlation with environmental factors [60]. The thermocline phytoplankton community occupied a broader ecological niche, which suggested that the dominant species and habitats of the thermocline phytoplankton community were more stable and ecologically adaptive, as well as being less affected by environmental changes [38,46,50].…”

Section: Relationships Between Phytoplankton Community Structures And...mentioning

confidence: 96%

“…The results of our CCA showed that pH was the main environmental driver of the vertical distribution of phytoplankton communities in Danjiangkou Reservoir, similar to the results of a study on the effects of environmental factors on phytoplankton in Danjiangkou Reservoir from 2014 to 2015 [45], which found that pH was the main influencing factor of phytoplankton biomass in the reservoir. Notably, pH affects phytoplankton growth in two main ways: (1) it affects the distribution of different forms of inorganic carbon and the carbonate balance, which, in turn, affects the carbon required for phytoplankton growth [64], and (2) it alters the acidity or alkalinity of the environment, and phytoplankton cells were only able to grow and reproduce normally within an appropriate pH range [60]. Additionally, changes in pH may trigger changes in DO.…”

Section: Relationships Between Phytoplankton Community Structures And...mentioning

confidence: 99%

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Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Wang,

Li,

et al. 2024

Sustainability

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Thermal stratification has become more extensive and prolonged because of global warming, and this change has had a significant impact on the distribution patterns of the phytoplankton communities. However, the response of phytoplankton community structures and assembly processes to thermal stratification is not fully understood. We predicted that the structure and assembly processes of phytoplankton communities would be affected by thermal stratification among water layers associated with environmental condition changes, reflecting certain patterns in temporal and spatial scales. Phytoplankton from Danjiangkou Reservoir were collected from October 2021 to July 2022 to verify this prediction. During the sampling period, Danjiangkou Reservoir remained thermally stratified with stability. The composition of the phytoplankton community in the surface layer significantly differed from that in both the thermocline and bottom layer. The phenomenon of thermal stratification affected the pattern of nitrogen and phosphorus distribution and, thus, the processes of the phytoplankton community structures. Deterministic processes had a greater influence on the assembly of the phytoplankton communities in the surface and bottom layers. In contrast, stochastic processes were more prevalent in the assembly of the thermocline phytoplankton community. The phytoplankton community within the thermocline layer exhibited a broader niche range than that in the surface and bottom layers, showing notable dissimilarity from that of the bottom layer. Canonical correspondence analysis (CCA) revealed that the vertical distributions of the phytoplankton communities were significantly correlated with NH4+-N, pH, and water temperature (WT). In summary, this study explained the distribution patterns of phytoplankton community structures and assembly processes in deep-water reservoirs during the stratification period. Additionally, the study explored the potential of using the distribution patterns of phytoplankton in stratified-state deep-water reservoirs under a subtropical–warm temperate climate as climate indicators in the context of global warming.

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Section: Relationships Between Phytoplankton Community Structures And...mentioning

confidence: 96%

Section: Relationships Between Phytoplankton Community Structures And...mentioning

confidence: 99%

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Wang,

Li,

et al. 2024

Sustainability

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“…The urbanization process led to elevated nutrient inputs, particularly nitrogen and phosphorus, resulting in potential eutrophication, Urban lakes are vulnerable ecosystems, sensitive to eutrophication ( Florescu et al, 2022 ; Guo et al, 2023 ). Physicochemical parameters, such as water temperature, nitrogen, phosphorus, chemical oxygen demand and light also play crucial roles in shaping the phytoplankton community structures in urban lakes ( Vascotto et al, 2024 ; Zheng et al, 2024 ). Urban lakes generally exhibit higher nitrogen and phosphorus concentrations compared to other type of lakes, with Cyanophyta, Bacillariophyta and Chlorophyta being dominate species throughout the year, displaying relatively high abundance and biomass ( Florescu et al, 2022 ; Guo et al, 2023 ; Li et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Succession characteristics of phytoplankton functional groups and ecological assessment in a cold spring-type urban lake, China

Shen,

Xu,

Zhang

et al. 2024

Front. Microbiol.

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Phytoplankton functional groups have been increasingly utilized in elucidating and predicting the response of phytoplankton species to environmental conditions and seasonal succession in various aquatic systems including lakes, rivers and reservoirs. However, it is still unclear whether the trait-based functional classification can be applied to spring-type lakes. To understand the temporal and spatial characteristics of phytoplankton functional groups and their responses to environmental factors in spring-type urban lake in northern China, an investigation was conducted in Daming Lake from May 2020 to September 2021. The findings revealed the identification of 98 phytoplankton taxa belonging to 6 phyla, predominantly being Chlorophyta (39.8%), Bacillariophyta (35.7%) and Cyanophyta (15.3%). The dominant species were Microcystis sp., Merismopedia minima, Synedra acus and Scenedesmus quadricauda. These phytoplankton taxa were categorized into 21 functional groups, with 6 dominant functional groups (abbreviated as D, MP, P, J, Lo, and W1). Among them, the functional group D, primarily constituted by S. acus, exhibited absolute predominance. The seasonal succession sequence of the dominant functional groups was as follows: D/P/J/MP/ Lo →→ D/P/W1/MP/Lo/J → D/P/J → D/MP → D/P/MP. Throughout the investigation period, the trophic level index (TLI) ranged from 39.10 to 71.13, and the Q index was from 1.91 to 2.91, both indicating a medium health state for Daming Lake, which was consistent with the evaluation results of the diversity index. The results of redundancy analysis revealed that the main driving factors of phytoplankton FG biomass and composition were water temperature (WT), total nitrogen (TN), transparency (SD), TN:TP (N:P), redox potential (ORP), chemical oxygen demand (CODMn) and pH. The dominance of the functional group D positively correlated with water temperature, TN, CODMn, pH and N:P but negatively correlated with SD. It was observed that functional groups and the Q index can objectively indicate the seasonal succession of phytoplankton and the water quality status of Daming Lake. Our discoveries have significant implications for the comprehension of the effects of urbanization on phytoplankton dynamics and for enhancing lake management practices to foster sustainable urban development.

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Phytoplankton morphological traits and biomass outline community dynamics in a coastal ecosystem (Gulf of Trieste, Adriatic Sea)

Vascotto,

Mozetič,

Francé

2024

COMMUNITY ECOLOGY

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Trait-based ecology has recently gained increasing importance in phytoplankton research. In particular, the taxonomic and morphological traits, such as size and shape of phytoplankton cells, can help to unveil the ecological processes and their drivers in the pelagic domain. Our study aims to shed light on the trophodynamics of phytoplankton communities in a coastal ecosystem in the northern Adriatic Sea (Gulf of Trieste) using data on individual traits such as biomass, size and shape of phytoplankton taxa during a one-year study. The phytoplankton parameters were investigated at the levels of the whole community, groups, and individual cells, analysing also the probability distributions of biomass and size of the latter level. The results showed good agreement between abundance and biomass data, as well as individual size and biomass with differences partly explained by cell shapes. We have emphasized the role of the local freshwater source in bottom-up control, alternating with top-down control of phytoplankton dynamics through taxonomic and morphological diversity. The predominant bimodal and non-power law distribution, especially during and around the biomass peaks, confirmed the importance of nano- and microphytoplankton size classes and the role of blooms in destabilizing the trophic webs. We suggest that the analyses of distribution types of individual cell size and biomass can be appropriate to spot ecological processes driving to unconstrained phytoplankton proliferation or to periods of trophic web stability.

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Exploring the mesoscale connectivity of phytoplankton periodic assemblages' succession in northern Adriatic pelagic habitats

Cited by 4 publications

References 57 publications

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Succession characteristics of phytoplankton functional groups and ecological assessment in a cold spring-type urban lake, China

Phytoplankton morphological traits and biomass outline community dynamics in a coastal ecosystem (Gulf of Trieste, Adriatic Sea)

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