Change in biomass of benthic and planktonic algae along a disturbance gradient for 24 Great Lakes coastal wetlands

2003 ◽  
Vol 60 (6) ◽  
pp. 676-689 ◽  
Author(s):  
Sheila A McNair ◽  
Patricia Chow-Fraser
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Chlorophyll A ◽  
Total Variation ◽  
Coastal Wetlands ◽  
Phytoplankton Biomass ◽  
Wetland Management ◽  
Percent Cover ◽  
Planktonic Algae ◽  
Wide Range

We quantified the chlorophyll a content of planktonic algae and benthic algae in periphyton on acrylic rods and in epiphyton growing on macrophytes in 24 coastal wetlands in all five Laurentian Great Lakes. Sites were selected to represent a wide range of environmental conditions ranging from nutrient-poor, clear-water marshes with abundant macrophytes to nutrient-enriched, turbid systems devoid of aquatic vegetation. Water quality and species and percent cover of submergent macrophytes were measured in each wetland. Principal components analysis (PCA) showed that total phosphorus, turbidity, and suspended solids, variables associated with human-induced degradation, were most strongly correlated with PC axis 1 (PC1), accounting for 69% of the total variation. The PC1 site score was significantly related to both periphyton and phytoplankton biomass, respectively accounting for 54 and 70% of the total variation in periphyton and phytoplankton data, whereas PC1 only accounted for 18% of the variation in epiphyton biomass. Periphytic and epiphytic biomass were negatively correlated with percent cover and species richness of submergent macrophytes, but phytoplankton biomass was not. We conclude that periphytic and planktonic chlorophyll a biomass are good indicators of human-induced water-quality degradation and recommend that both benthic and planktonic algal biomass should be routinely monitored as part of an effective wetland management program.

scholarly journals A Basin-Wide Survey of Coastal Wetlands of the Laurentian Great Lakes: Development and Comparison of Water Quality Indices

Wetlands ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 465-477
Author(s):  
Anna M. Harrison ◽  
Alexander J. Reisinger ◽  
Matthew J. Cooper ◽  
Valerie J. Brady ◽  
Jan J. H. Ciborowski ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Coastal Wetlands ◽  
Laurentian Great Lakes ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals Assessing the potential of integrating Landsat sensors for estimating chlorophyll-a concentration in a reservoir

2017 ◽  
Vol 49 (5) ◽  
pp. 1608-1617 ◽  
Author(s):  
Matias Bonansea ◽  
Claudia Rodriguez ◽  
Lucio Pinotti
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Landsat Imagery ◽  
Quality Parameters ◽  
Landsat 8 ◽  
Chlorophyll A Concentration ◽  
Chl A ◽  
Sensing Applications ◽  
Wide Range ◽  
Quality Assessments

Abstract Landsat satellites, 5 and 7, have significant potential for estimating several water quality parameters, but to our knowledge, there are few investigations which integrate these earlier sensors with the newest and improved mission of Landsat 8 satellite. Thus, the comparability of water quality assessing across different Landsat sensors needs to be evaluated. The main objective of this study was to assess the feasibility of integrating Landsat sensors to estimate chlorophyll-a concentration (Chl-a) in Río Tercero reservoir (Argentina). A general model to retrieve Chl-a was developed (R2 = 0.88). Using observed versus predicted Chl-a values the model was validated (R2 = 0.89) and applied to Landsat imagery obtaining spatial representations of Chl-a in the reservoir. Results showed that Landsat 8 can be combined with Landsat 5 and 7 to construct an empirical model to estimate water quality characteristics, such as Chl-a in a reservoir. As the number of available and upcoming sensors with open access will increase with time, we expect that this trend will certainly further promote remote sensing applications and serve as a valuable basis for a wide range of water quality assessments.

scholarly journals ASSESSMENT OF SEAGRASS PERCENT COVER AND WATER QUALITY USING UAV IMAGES AND FIELD MEASUREMENTS IN BOLINAO, PANGASINAN

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 233-240
Author(s):  
M. K. M. R. Guerrero ◽  
J. A. M. Vivar ◽  
R. V. Ramos ◽  
A. M. Tamondong
Keyword(s):  
Water Quality ◽  
Regression Analysis ◽  
Chlorophyll A ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Support Vector ◽  
Percent Cover ◽  
Chl A ◽  
Relationship Of ◽  
The Relationship

Abstract. The sensitivity to changes in water quality inherent to seagrass communities makes them vital for determining the overall health of the coastal ecosystem. Numerous efforts including community-based coastal resource management, conservation and rehabilitation plans are currently undertaken to protect these marine species. In this study, the relationship of water quality parameters, specifically chlorophyll-a (chl-a) and turbidity, with seagrass percent cover is assessed quantitatively. Support Vector Machine, a pixel-based image classification method, is applied to determine seagrass and non-seagrass areas from the orthomosaic which yielded a 91.0369% accuracy. In-situ measurements of chl-a and turbidity are acquired using an infinity-CLW water quality sensor. Geostatistical techniques are utilized in this study to determine accurate surfaces for chl-a and turbidity. In two hundred interpolation tests for both chl-a and turbidity, Simple Kriging (Gaussian-model type and Smooth- neighborhood type) performs best with Mean Prediction equal to −0.1371 FTU and 0.0061 μg/L, Root Mean Square Standardized error equal to −0.0688 FTU and −0.0048 μg/L, RMS error of 8.7699 FTU and 1.8006 μg/L and Average Standard Error equal to 10.8360 FTU and 1.6726 μg/L. Zones are determined using fishnet tool and Moran’s I to calculate for the seagrass percent cover. Ordinary Least Squares (OLS) is used as a regression analysis to quantify the relationship of seagrass percent cover and water quality parameters. The regression analysis result indicates that turbidity has an inverse relationship while chlorophyll-a has a direct relationship with seagrass percent cover.

Primary determinants of macrophyte community structure in 62 marshes across the Great Lakes basin: latitude, land use, and water quality effects

2001 ◽  
Vol 58 (8) ◽  
pp. 1603-1612 ◽  
Author(s):  
Vanessa L Lougheed ◽  
Barb Crosbie ◽  
Patricia Chow-Fraser
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Community Structure ◽  
Great Lakes ◽  
Aquatic Macrophyte ◽  
Potamogeton Pectinatus ◽  
Great Lakes Basin ◽  
Inland Wetlands ◽  
Macrophyte Community ◽  
Wide Range

We collected water quality, land use, and aquatic macrophyte information from 62 coastal and inland wetlands in the Great Lakes basin and found that species richness and community structure of macrophytes were a function of geographic location and water quality. For inland wetlands, the primary source of water quality degradation was inputs of nutrients and sediment associated with altered land use, whereas for coastal wetlands, water quality was also influenced by exposure and mixing with the respective Great Lakes. Wetlands within the subbasins of the less developed, more exposed upper Great Lakes had unique physical and ecological characteristics compared with the more developed, less sheltered wetlands of the lower Great Lakes and those located inland. Turbid, nutrient-rich wetlands were characterized by a fringe of emergent vegetation, with a few sparsely distributed submergent plant species. High-quality wetlands had clearer water and lower nutrient levels and contained a mix of emergent and floating-leaf taxa with a diverse and dense submergent plant community. Certain macrophyte taxa were identified as intolerant of turbid, nutrient-rich conditions (e.g., Pontederia cordata, Najas flaxilis), while others were tolerant of a wide range of conditions (e.g., Typha spp., Potamogeton pectinatus) occurring in both degraded and pristine wetlands.

scholarly journals Diversity II water quality parameters from ENVISAT (2002–2012): a new global information source for lakes

2018 ◽  
Vol 10 (3) ◽  
pp. 1527-1549 ◽  
Author(s):  
Daniel Odermatt ◽  
Olaf Danne ◽  
Petra Philipson ◽  
Carsten Brockmann
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Suspended Matter ◽  
Performance Metrics ◽  
Accuracy Assessment ◽  
Information Source ◽  
Quality Parameters ◽  
Total Suspended Matter ◽  
Water Quality Parameters ◽  
Wide Range

Abstract. The use of ground sampled water quality information for global studies is limited due to practical and financial constraints. Remote sensing is a valuable means to overcome such limitations and to provide synoptic views of ambient water quality at appropriate spatio-temporal scales. In past years several large data processing efforts were initiated to provide corresponding data sources. The Diversity II water quality dataset consists of several monthly, yearly and 9-year averaged water quality parameters for 340 lakes worldwide and is based on data from the full ENVISAT MERIS operation period (2002–2012). Existing retrieval methods and datasets were selected after an extensive algorithm intercomparison exercise. Chlorophyll-a, total suspended matter, turbidity, coloured dissolved organic matter, lake surface water temperature, cyanobacteria and floating vegetation maps, as well as several auxiliary data layers, provide a generically specified database that can be used for assessing a variety of locally relevant ecosystem properties and environmental problems. For validation and accuracy assessment, we provide matchup comparisons for 24 lakes and a group of reservoirs representing a wide range of bio-optical conditions. Matchup comparisons for chlorophyll-a concentrations indicate mean absolute errors and bias in the order of median concentrations for individual lakes, while total suspended matter and turbidity retrieval achieve significantly better performance metrics across several lake-specific datasets. We demonstrate the use of the products by illustrating and discussing remotely sensed evidence of lake-specific processes and prominent regime shifts documented in the literature. The Diversity II data are available from https://doi.pangaea.de/10.1594/PANGAEA.871462, and Python scripts for their analysis and visualization are provided at https://github.com/odermatt/diversity/.

Water Quality in Great Lakes Coastal Wetlands: Basin-wide Patterns and Responses to an Anthropogenic Disturbance Gradient

2007 ◽  
Vol 33 (sp3) ◽  
pp. 67-85 ◽  
Author(s):  
Anett S. Trebitz ◽  
John C. Brazner ◽  
Anne M. Cotter ◽  
Michael L. Knuth ◽  
John A. Morrice ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Coastal Wetlands ◽  
Anthropogenic Disturbance ◽  
Disturbance Gradient ◽  
Great Lakes Coastal Wetlands

scholarly journals Human Influences on Water Quality in Great Lakes Coastal Wetlands

2007 ◽  
Vol 41 (3) ◽  
pp. 347-357 ◽  
Author(s):  
John A. Morrice ◽  
Nicholas P. Danz ◽  
Ronald R. Regal ◽  
John R. Kelly ◽  
Gerald J. Niemi ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Lakes ◽  
Coastal Wetlands ◽  
Great Lakes Coastal Wetlands

scholarly journals High chlorophyll a concentration in a low nutrient context: discussions in a subtropical lake dominated by Cyanobacteria

2016 ◽  
Author(s):  
Mariana C. Hennemann ◽  
Mauricio M. Petrucio
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Phytoplankton Biomass ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Cylindrospermopsis Raciborskii ◽  
P Availability ◽  
Chlorophyll A Concentration ◽  
Subtropical Lake ◽  
Total P

<p>Temporal variability in some water quality parameters can play an important role in determining the presence and abundance of primary producers, and consequently in the trophic state and other characteristics and uses of lake ecosystems. In this sense, the present study aimed at understanding temporal dynamics of some trophic relevant water quality parameters in different time scales and their correlation and influence in phytoplankton biomass (chlorophyll <em>a</em>) in a shallow subtropical coastal lake. Peri Lake is located in Florianópolis island in Southern Brazil and samples were taken monthly between March 2007 and February 2013. The lake showed low dissolved nutrients concentration, especially phosphorus (P) (median dissolved P: 2.0 µg.l<sup>-1</sup>)  and high chlorophyll <em>a</em> (median: 20.8 µg.l<sup>-1</sup>) concentration. Total nitrogen (TN) concentration varied broadly, with a median of 672.8 µg L<sup>-1</sup>, and total P (TP) concentration was low (median: 13.5 µg L<sup>-1</sup>). A seasonal pattern of variation concerning dissolved and total P and chlorophyll a concentration was observed, associated mainly with temperature and wind speeds, but no clear pattern was observed for nitrogen (N) fractions. Significant differences were observed in different years for some parameters, with higher chlorophyll a and lower N concentration in the last three years sampled. The lake was considered potentially P limited during the majority of the study period and a positive correlation was found between chlorophyll <em>a</em> and total and dissolved P concentration. Phytoplankton biomass (as chlorophyll <em>a</em>) was apparently controlled by water temperature and P availability (TN:TP ratio and dissolved P). Water transparency (as Secchi depth) was strongly and negatively influenced by chlorophyll <em>a</em> concentration. <em>Cylindrospermopsis raciborskii</em> abilities to compete for P and light seem to be important factors determining its success and dominance in this low P coastal ecosystem. The fluctuating P supply, probably associated to sediment resuspension by wind in this shallow waterbody, is an advantageous factor for cyanobacteria and has an important role in chlorophyll <em>a</em> dynamics. Thus, high chlorophyll <em>a</em> concentration in this subtropical lake seems to be related to the P-limited condition, shallowness and low water column transparency, which are probably favouring the dominance of <em>C. raciborskii</em>, especially in higher summer temperatures, and leading to high chlorophyll <em>a</em> concentration even in a low dissolved nutrient environment.</p>

scholarly journals RELATIONS OF SEVERAL PHYSICOCHEMICAL PARAMETERS AND PHYTOPLANKTON IN COASTAL KUBU RAYA DISTRICT, WEST KALIMANTAN

2018 ◽  
Vol 9 (2) ◽  
pp. 727-737
Author(s):  
Sri Endah Purnamaningtyas ◽  
Dimas Angga Hedianto ◽  
. Riswanto
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Phytoplankton Biomass ◽  
Physicochemical Parameters ◽  
High Fertility ◽  
Chemical Parameters ◽  
Phytoplankton Abundance ◽  
High Concentration ◽  
West Kalimantan ◽  
The Relationship

This research was conducted in April, July and October 2013 at 8 (eight) stations: 1. Tj. Intan, 2. Tj. Tempurung, 3. Tj. Bunga Dalam, 4. Tj. Bunga dalam, 5. Tj. Burung, 6. P. Dabung, 7. Tasik Malaya, and 8. Tj. Harapan. This study aims to determine the relationship between several physic-chemical parameters and phytoplankton abundance. The results show the growth of phytoplankton biomass (chlorophyll a) was determined by high concentration of NH4 and NO3, while its growth is limited by turbidity (turbidity). Station that has high fertility in the Coastal District of Kubu Raya is Dabung Island. Keyword: water quality, chlorophyll a, coastal Kubu Raya district

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