Phytoplankton in Quebec Lakes: Variation with Lake Morphometry, and with Natural and Anthropogenic Acidification

1990 ◽  
Vol 47 (5) ◽  
pp. 1047-1057 ◽  
Author(s):  
Bernadette Pinel-Alloul ◽  
Ginette Méthot ◽  
Ghislain Verrault ◽  
Yvan Vigneault
Keyword(s):  
Environmental Factors ◽  
Newfoundland And Labrador ◽  
Data Matrix ◽  
Lake Morphometry ◽  
Phytoplankton Composition ◽  
Phytoplankton Distribution ◽  
Total Phytoplankton ◽  
Linkage Cluster ◽  
Lake Size ◽  
Flexible Linkage

Phytoplankton of 54 Québec lakes were studied to determine the effects of acidification, physico-chemistry, and lake morphometry on the community composition. The phytoplankton groups data matrix was submitted to a flexible linkage cluster analysis. The resulted six clusters of lakes are distributed along the northeast to southwest geographic axis and are related to an ascending density gradient in total phytoplankton, chlorophytes, cyanophytes, and microflagellates. Factor analysis produced five derived environmental factors (hardness-alkalinity, lake depth and transparency, dystrophy, lake size and salinity-sulphates loading), which explain 73% of the total variance of the abiotic data matrix. Alkalinity–acidity gradient is the most important factor related to phytoplankton groups and species distribution. Most of the cyanophytes taxa and some chlorophytes are positively related to the hardness-alkalinity and the sulphates loading factors. The abundances of pyrrophytes increases in alkaline lakes subjected to great sulphates loading. Lake morphometry and trophy also influence the phytoplankton distribution. Deep and clear lakes in eastern Quebec are dominated by chrysophycean species. Few species are related to the dystrophy factor. Phytoplankton distribution and relationships with environmental factors in Quebec lakes are compared with studies of the phytoplankton composition in Newfoundland and Labrador lakes.

Factors Influencing the Distribution of Phytoplankton in 97 Headwater Lakes in Insular Newfoundland

1987 ◽  
Vol 44 (3) ◽  
pp. 639-649 ◽  
Author(s):  
J. C. Earle ◽  
H. C. Duthie ◽  
David A. Scruton
Keyword(s):  
Environmental Factors ◽  
Species Distributions ◽  
Factors Influencing ◽  
Headwater Lakes ◽  
Species Abundances ◽  
Selected Subset ◽  
Highly Correlated ◽  
Linkage Cluster ◽  
Complete Linkage Cluster ◽  
Lake Size

Phytoplankton samples collected from 97 headwater lakes throughout insular Newfoundland were analyzed and used as a basis for a statistical evaluation of the environmental factors influencing species distributions. A selected subset of 77 taxa were clustered using a complete-linkage cluster analysis. The final 12 clusters represent the associations of species found occurring together in insular Newfoundland. Physical, chemical, and morphometric data collected with the phytoplankton served to characterize the environment. Factor analysis simplified the original variables, many of which were highly correlated and uninterpretable, into seven derived environmental factors: dystrophy, hardness, salinity, lake size, season, watershed influence, and orthophosphate enrichment. The resulting orthogonally rotated (VARIMAX) scores comprising these seven factors were correlated with species abundances. Spearman correlations showed several relationships between species distributions and the seven derived environmental factors. Although the analysis identified a subset of naturally acidic, dystrophic lakes, it failed to reveal any evidence of anthropogenic acidification in the lakes studied. For the most part, the members from each of the cluster groups demonstrated similar relationships with the derived environmental factors. The evidence suggests that the cluster groups may represent species associations; groups of species that co-occur because of their common requirements for specific environmental conditions. Phytoplankton autecological findings resulting from this study of insular Newfoundland lakes correspond well with conclusions derived independently from a comparable study of 95 headwater lakes in Labrador.

Analysis of the Phytoplankton Composition of 95 Labrador Lakes, with Special Reference to Natural and Anthropogenic Acidification

1986 ◽  
Vol 43 (9) ◽  
pp. 1804-1811 ◽  
Author(s):  
J. Chris Earle ◽  
Hamish C. Duthie ◽  
David A. Scruton
Keyword(s):  
Environmental Factors ◽  
Habitat Preferences ◽  
Low Ph ◽  
Phytoplankton Composition ◽  
Data Set ◽  
Softwater Lakes ◽  
Phytoplankton Communities ◽  
Physical And Chemical Variables ◽  
Physical And Chemical ◽  
Lake Size

Phytoplankton abundances and accompanying morphometric, physical, and chemical data from 95 Labrador lakes were subjected to statistical analysis to determine the structure of the phytoplankton communities and to relate environmental factors to the patterns observed. Factor analysis of the 22 measured physical and chemical variables reduced the data to six derived environmental factors: hardness, dystrophy, lake size, salinity, oligotrophy, and seasonality. The analysis showed that the low-pH lakes are associated with dystrophy and hence are likely to be naturally acidic. There was no evidence of anthropogenic acidification. Eight groups of co-occurring taxa were recognized from the data set, and all but two exhibited relatively consistent habitat preferences. It was suggested that the groups represent "species associations" in the sense that each group contains taxa that occur together because of similar requirements for a specific set of environmental conditions. Several lake types were identified as potentially influencing the distribution of phytoplankton in Labrador: small, dystrophic lakes; clear, softwater lakes; clear, hardwater lakes; large, hardwater lakes; and coloured, hardwater lakes.

Lake morphometry underlies physical and chemical parameters affecting the distribution of phytoplankton functional groups in lakes of the Sakarya River Basin (Turkey)

2020 ◽  
Vol 194 (2) ◽  
pp. 125-140
Author(s):  
Tuğba Ongun Sevindik ◽  
Hatice Tunca ◽  
Halim Aytekin Ergül ◽  
Arzu Morkoyunlu Yüce ◽  
Melih Kayal ◽  
...  
Keyword(s):  
Functional Groups ◽  
River Basin ◽  
Light Availability ◽  
Environmental Parameters ◽  
Quality Parameters ◽  
Lake Morphometry ◽  
Phytoplankton Distribution ◽  
Phytoplankton Functional Groups ◽  
Sakarya River ◽  
Lake Size

To test the effects of lake morphometry (lake size and depth) on water quality parameters which affect the phytoplankton functional groups (FG) distribution, phytoplankton and some environmental parameters were sampled in November 2017 and May 2018 at the two or three monitoring stations in nine Lakes of Sakarya River Basin (Turkey). Lake size and depth affected phytoplankton FG distribution in both large-sized and small-sized lakes by affecting light availability which was mainly driven by the mixing events during the studied period. Al- though PO4 -P and alkalinity were the other main environmental constraints influencing phytoplankton distribution, they were not directly affected by lake morphometry. Codon Lo was mainly found in small-sized and shallow lakes, whereas coda B, C, D, J, R, and T, which do not have active buoyancy regulation and adapt to high Zmix/Zeu con- ditions, occurred with high relative biovolume in large-sized water bodies.

scholarly journals Phytoplankton community of a polymictic reservoir, La Plata River basin, Uruguay

1999 ◽  
Vol 59 (4) ◽  
pp. 535-541 ◽  
Author(s):  
M. C. PÉREZ ◽  
S. BONILLA ◽  
G. MARTÍNEZ
Keyword(s):  
Spatial Heterogeneity ◽  
River Basin ◽  
Phytoplankton Community ◽  
Water Reservoir ◽  
Phytoplankton Composition ◽  
Phytoplankton Abundance ◽  
La Plata ◽  
Phytoplankton Distribution ◽  
Aulacoseira Granulata

This paper deals with the analysis of phytoplankton composition and abundance from four sampling stations at the polymictic system, Rincón del Bonete water reservoir in Uruguay. Sampling data were obtained in 4 seasonal periods between February and November 1993. A hundred and twenty-four taxa were identified, where Aulacoseira granulata (Ehrenb.) Simon., A. granulata var. angustissima (Muller) Simon., A. granulata var. angustissima f. spiralis, (Muller) Simon., A. cf. ambigua, (Grun.) Simon., A. cf.. distans (Ehrenb.) Simon., Cryptomonas spp. and Synedra ulna (Nitzsch) Ehrenberg, were always present. Phytoplankton abundance fluctuated between 29 (autumn) and 2129 (summer) ind/ml. The general dominance of Aulacoseira spp. could be related to the polymictic condition of the system. In cold months phytoplankton distribution was homogeneous among sampling stations, while in warm months, spatial heterogeneity was detected, suggesting that sampling stations can behave as independent compartments.

scholarly journals Assessing temporal and spatial variability of phytoplankton composition in a large reservoir in the Brazilian northeastern region under intense drought conditions

2017 ◽  
Vol 77 (1) ◽  
Author(s):  
Hortência De Souza Barroso ◽  
Janaina A. Santos ◽  
Rozane V. Marins ◽  
Luiz Drude Lacerda
Keyword(s):  
Functional Groups ◽  
Rainy Season ◽  
Temporal Dynamics ◽  
The Other ◽  
Water Transparency ◽  
Phase Iii ◽  
Phytoplankton Composition ◽  
Large Reservoir ◽  
Reservoir Volume ◽  
Total Phytoplankton

The present study was carried out in Castanhão Reservoir, a large aquatic system in the Brazilian semi-arid region that serves multiples uses as water drinking supply and intensive fish-cage aquaculture site. In order to understand the effects of environmental conditions on the spatial and temporal variability of the phytoplankton functional groups (FG) and the main ‘characterizing taxa’, sub-superficial water samples were collected from March 2012 to August 2013, a period distinguished by the continuous drop in reservoir volume due to rainfall shortage. Eighteen functional groups and 102 total phytoplankton taxa were found in the Castanhão reservoir during the study. No significant differences were observed relative to spatial variation of total phytoplankton composition throughout the reservoir (PERMANOVA, P>0.05). On the other hand, according to cluster analysis results, three temporal phases have been identified (Similarity Profile, P<0.05), based on 102 phytoplankton taxa. The ‘characterizing taxa’ was found using the Similarity Percentage procedure (cut-off 90%), being thus defined as those taxa that contributed the most to the similarity within each temporal phase. Nineteen ‘characterizing taxa’ described the Castanhão reservoir, with predominance of those typical of mixing and turbidity conditions. Cyanobacteria dominated through the three temporal phases. According to the redundancy analysis, nutrient availability and water transparency were found to influence the phytoplankton temporal dynamics. The phase I (rainy season) was most represented by Planktolyngbya minor/Pl. limnetica (FG = S1), which reached best performance under strongly decreased phosphate-P concentrations and low water transparency. In phase II (dry season), Romeria victoriae (FG = ?) outcompeted other cyanobacteria probably due the increase in water transparency and decrease in ammonium-N. Finally, in phase III (rainy season) the decrease of water transparency triggered a recovery of shade-adapted cyanobacteria, but at this time mostly represented by Pseudanabaena limnetica (FG = S1). Phase III was also distinctive from the other ones by the highest Nitrate-N and phosphate-P concentrations related to thermocline disruption, which favored an increase in total phytoplankton biomass recorded by the augment of green algae density (FGs = X1, J and F). We concluded that the temporal dynamics of phytoplankton composition was associated to environmental changes in Castanhão Reservoir from 2012 to 2013, which were driven by seasonal climate variation from region (rainy/dry seasons), as well as, by the reduction in reservoir volume that resulted in the disruption of the thermocline, water mixing and an increase in inorganic P and N.

scholarly journals A powerful and flexible weighted distance-based method incorporating interactions between DNA methylation and environmental factors on health outcomes

2019 ◽  
Vol 36 (3) ◽  
pp. 653-659
Author(s):  
Ya Wang ◽  
Min Qian ◽  
Deliang Tang ◽  
Julie Herbstman ◽  
Frederica Perera ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Environmental Factors ◽  
Health Outcomes ◽  
Cross Product ◽  
Data Matrix ◽  
Supplementary Information ◽  
Weighted Distance ◽  
Novel Approach ◽  
Children’S Environmental Health ◽  
Pseudo Data

Abstract Motivation Deoxyribonucleic acid (DNA) methylation plays a crucial role in human health. Studies have demonstrated associations between DNA methylation and environmental factors with evidence also supporting the idea that DNA methylation may modify the risk of environmental factors on health outcomes. However, due to high dimensionality and low study power, current studies usually focus on finding differential methylation on health outcomes at CpG level or gene level combining multiple CpGs and/or finding environmental effects on health outcomes but ignoring their interactions on health outcomes. Here we introduce the idea of a pseudo-data matrix constructed with cross-product terms between CpGs and environmental factors that are able to capture their interactions. We then develop a powerful and flexible weighted distance-based method with the pseudo-data matrix where association strength was used as weights on CpGs, environmental factors and their interactions to up-weight signals and down-weight noises in distance calculations. Results We compared the power of this novel approach and several comparison methods in simulated datasets and the Mothers and Newborns birth cohort of the Columbia Center for Children’s Environmental Health to determine whether prenatal polycyclic aromatic hydrocarbons interacts with DNA methylation in association with Attention Deficit Hyperactivity Disorder and Mental Development Index at age 3. Availability and implementation An R code for the proposed method Dw-M-E-int together with a tutorial and a sample dataset is available for downloading from http://www.columbia.edu/∼sw2206/softwares.htm. Supplementary information Supplementary data are available at Bioinformatics online.

Patterns in Biomass and Cover of Aquatic Macrophytes in Lakes

1986 ◽  
Vol 43 (10) ◽  
pp. 1900-1908 ◽  
Author(s):  
Carlos M. Duarte ◽  
Jacob Kalff ◽  
Robert H. Peters
Keyword(s):  
Quantitative Analysis ◽  
Aquatic Macrophytes ◽  
Submerged Macrophytes ◽  
Lake Area ◽  
Lake Morphometry ◽  
Submerged Plants ◽  
Predominant Role ◽  
Emergent Macrophytes ◽  
Average Slope ◽  
Lake Size

A quantitative analysis of biomass and cover of both submerged and emergent macrophytes in 139 lakes reported in the literature revealed that biomass and cover of emergent macrophytes are, on average, proportional to the lake area, but that the biomass and cover of submerged plants are proportionally reduced with increasing lake size. Underwater light was found to be the best descriptor of the cover and biomass of submerged plants. Conversely, emergent macrophytes are most strongly affected by lake morphometry, and in particular by its average slope. The predictability of the abundance of emergent and submerged macrophytes from these environmental factors stresses the predominant role that they play in macrophyte ecology and confirms the existence of strong patterns in the abundance of aquatic plants worldwide.

Natural variation of profundal macroinvertebrate communities in boreal lakes is related to lake morphometry: implications for bioassessment

2009 ◽  
Vol 66 (4) ◽  
pp. 589-601 ◽  
Author(s):  
Jussi Jyväsjärvi ◽  
Kimmo T. Tolonen ◽  
Heikki Hämäläinen
Keyword(s):  
Environmental Factors ◽  
Human Activities ◽  
Natural Variation ◽  
Geographical Location ◽  
Boreal Lakes ◽  
Biological Assessment ◽  
Compositional Variation ◽  
Macroinvertebrate Communities ◽  
Lake Morphometry ◽  
Partial Canonical Correspondence Analysis

Modern biological assessment of aquatic systems is often based on the reference condition approach, which requires characterization of biota in undisturbed conditions. For this approach, it is essential to recognize the origins and degree of natural variation in communities. We used data from 55 minimally disturbed Finnish lake basins to investigate the natural variation of profundal macroinvertebrate community composition in relation to environmental factors. Partial canonical correspondence analysis showed that most (68% combined, 39% uniquely) of the total explained compositional variation (29%) was correlated with environmental variables insensitive to human activities, especially lake morphometry. In contrast, the unique contributions of geographical location and variables influenced by human activities (dissolved oxygen and total phosphorus) were substantially smaller (5.5% and 22%, respectively). All of the explained variation (38%–64%) of three widely used community metrics was also correlated with human-insensitive environmental factors. The results suggest that variation in undisturbed profundal invertebrate communities of reference sites is strongly dependent on variables insensitive to human activities and especially on those related to lake morphometry, suggesting that reference communities for bioassessment of impacted lakes should be rather predictable from these variables.

Relationship between phytoplankton composition and environmental factors in the surface waters of southern South China Sea in early summer of 2009

2012 ◽  
Vol 31 (3) ◽  
pp. 109-119 ◽  
Author(s):  
Zhixin Ke ◽  
Yehui Tan ◽  
Liangmin Huang ◽  
Jianlin Zhang ◽  
Shumin Lian
Keyword(s):  
Environmental Factors ◽  
South China Sea ◽  
South China ◽  
Surface Waters ◽  
Early Summer ◽  
Phytoplankton Composition ◽  
Southern South China Sea ◽  
China Sea

Lake Morphometry and Light in the Surface Layer

1990 ◽  
Vol 47 (4) ◽  
pp. 687-692 ◽  
Author(s):  
Robert W. Sterner
Keyword(s):  
Surface Layer ◽  
Lake Area ◽  
Lake Depth ◽  
Lake Morphometry ◽  
Surface Layers ◽  
Shoreline Development ◽  
Minnesota Lakes ◽  
Lake Size

Mean irradiance in the surface layer was calculated as a percent of incident irradiance using Secchi depths and thermocline depths for two sets of lakes: (1) 20 nearly circular lakes in northwest Minnesota, USA, sampled at a similar season, and (2) 1140 lakes of heterogeneous shapes in Ontario, Canada, sampled throughout the ice-free season. For both, as lake area increased, the thickness of the surface layer increased. Consequently, lakes larger in area had lower mean irradiance in their surface layer. Lake depth had less influence, but in the Ontario lakes, as depth increased, attenuation decreased, and mean irradiance increased. Lake area (log transformed) explained ca. one-half of the variation in mean irradiance in the homogeneous sampling of Minnesota lakes, while area and depth together explained less of the variation in the heterogeneous sampling of Ontario lakes. Shape, i.e. shoreline development, was unimportant compared with the gross measures of size, area and depth. Mean irradiance is complexly related to lake size; when depth increases slowly with area, larger lakes may have lower mean irradiance in their surface layers. But, when depth increases quickly with area, mean irradiance can be unrelated to area.

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