Presentation is loading. Please wait.

Presentation is loading. Please wait.

Comparisons of phytoplankton community characteristics at different chlorophyll concentrations: “Are we seeing a shift in algal community structure?” discrete.

Published byElvira Buchholz Modified over 5 years ago

Similar presentations

Presentation on theme: "Comparisons of phytoplankton community characteristics at different chlorophyll concentrations: “Are we seeing a shift in algal community structure?” discrete."— Presentation transcript:

1 Comparisons of phytoplankton community characteristics at different chlorophyll concentrations: “Are we seeing a shift in algal community structure?” discrete (10µg/L bins) 0-10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-90, , >100 ANOVA, multiple comparison post-hoc test Species Richness, Species Evenness, Shannon Diversity, % Dinoflagellate Biomass, % Cyanobacteria Biomass Each season and segment analyzed separately Lower James: Annual corrected YSI chla data, Upper James: Uncorrected extracted chla data 7/23/14 Todd Egerton Old Dominion University

2 N.S.: Species Richness, % Cyano A A ANOVA P<0.000 ANOVA P<0.000
Phytoplankton community characteristics: Segment: JMSMH Years: ANOVA/REGWF Spring (March-May) ANOVA P<0.000 ANOVA P<0.000 ANOVA P<0.000 Summer (July-August) N.S.: Species Richness, % Cyano A A ANOVA P<0.000 ANOVA P<0.000 ANOVA P<0.000 AB ABC ABC BC BC C C C 7/23/14 Todd Egerton Old Dominion University

3 Comparisons of exceeding HAB thresholds at different chlorophyll concentrations: “What proportion of samples within a given Chla range exceed a HAB density of concern?” 7/23/14 Todd Egerton Old Dominion University

4 Comparisons of exceeding HAB thresholds at different chlorophyll concentrations: “What proportion of samples within a given Chla range exceed a HAB density of concern?” (Wood and Bukaveckas) Chla bins (10µg/L) x likelihood of impairment (proportion of collections when microcystin exceeds a threshold). Microcystin concentrations based on Rangia bioassays Question: test of significance? 7/23/14 Todd Egerton Old Dominion University

5 Cochlodinium polykrikoides
Comparisons of exceeding HAB thresholds at different chlorophyll concentrations: “What proportion of samples within a given Chla range exceed a HAB density of concern?” Cochlodinium polykrikoides Example thresholds: presence (>10/ml), 1000 cells/ml, 3000 cells/ml, 6000 cells/ml, 12,000 cells/ml discrete (10µg/L bins) 0-10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-90, , >100 Percentage of samples within each Chla bin with C. polykrikoides densities exceeding thresholds , summer season, by segment 7/23/14 Todd Egerton Old Dominion University

6 Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: Segments: JMSMH n=165 7/23/14 Todd Egerton Old Dominion University

7 Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: Segments: JMSPH n=78 7/23/14 Todd Egerton Old Dominion University

8 Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: Segments: ER n=98 7/23/14 Todd Egerton Old Dominion University

9 Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: Segments: LAF n=105 7/23/14 Todd Egerton Old Dominion University

10 Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: Segments: JMSMH, JMSPH, ER & LAF n=446 7/23/14 Todd Egerton Old Dominion University

11 ?tbd Cochlodinium polykrikoides thresholds
Season: summer (July-August) Years: separate Segments: JMSMH, JMSPH, ER & LAF ?tbd 2014 7/23/14 Todd Egerton Old Dominion University

12 Chla to Cochlodinium abundance
All Summer season data, all lower James segments, Chla>400 excluded Sig. positive relationships between Chla and C. polykrikoides densities each year…. But: different relationships/regressions 2012 and 2013 similar If ‘concern levels’ are >5000 cells/ml, 2011 data shouldn’t be used due to lower bloom densities? 7/23/14 Todd Egerton Old Dominion University

13 Chla to Cochlodinium abundance
data merged Summer (July-September) JMSMH,JMSPH, LAF, ER N=301 p<0.000, R2=0.64 Linear Regression Y= C. polykrikoides abundance (cells/ml) X= Chla µg /L (annual correction) Y=87.204x 7/23/14 Todd Egerton Old Dominion University

14 Chla to Cochlodinium abundance
data merged Summer (July-September) JMSMH,JMSPH, LAF, ER N=301 p<0.000, R2=0.64 Linear Regression Y= C. polykrikoides abundance X= corrected Chla (annual) Y=87.204x 10 cells/ml = 8.8µg Chla/L 1000 cells/ml =20.1 Chla/L 3000 cells/ml = 43.0 µg Chla/L 6000 cells/ml = 77.4 µg Chla/L 12,000 cells/ml = µg Chla/L 7/23/14 Todd Egerton Old Dominion University

15 Next steps Finalize HAB density threshold(s)
Algal community structure analysis for each segment/season Additional HAB species (Microcystis aeruginosa in JMSTF) 2014 Cochlodinium data (increase confidence in Chl a relationship) IBI calculation and analyses Moving beyond discrete binned analysis: Changepoint analysis, correlation/regression, PCA, multivariate (ANOSIM, PERMANOVA) 7/23/14 Todd Egerton Old Dominion University

Download ppt "Comparisons of phytoplankton community characteristics at different chlorophyll concentrations: “Are we seeing a shift in algal community structure?” discrete."

Similar presentations

I will be examining how chlorophyll relates to exceedences in the following water quality parameters (criteria/thresholds in parentheses): 1.

I will be examining how chlorophyll relates to exceedences in the following water quality parameters (criteria/thresholds in parentheses): 1.
Lake Erie Algal Source Tracking (LEAST) homas B. Bridgeman, University of Toledo Thomas B. Bridgeman, University of Toledo Cyndee L. Gruden University.

Lake Erie Algal Source Tracking (LEAST) homas B. Bridgeman, University of Toledo Thomas B. Bridgeman, University of Toledo Cyndee L. Gruden University.
Chlorophyll Measurements

Chlorophyll Measurements
High Performance Liquid Chromatography (HPLC) and Fluorometric Analyses of Phytoplankton Pigments at a Scottish Coastal Ecosystem Monitoring Site Kerry.

High Performance Liquid Chromatography (HPLC) and Fluorometric Analyses of Phytoplankton Pigments at a Scottish Coastal Ecosystem Monitoring Site Kerry.
Multivariate analysis of community structure data Colin Bates UBC Bamfield Marine Sciences Centre.

Multivariate analysis of community structure data Colin Bates UBC Bamfield Marine Sciences Centre.
Predicting HAB Strength (Western Basin) Pete Richards NCWQR-HU.

Predicting HAB Strength (Western Basin) Pete Richards NCWQR-HU.
Chapter 17 Overview of Multivariate Analysis Methods

Chapter 17 Overview of Multivariate Analysis Methods
Garrett Stillings and Mark Martin Kentucky Division of Water Water Quality Branch Predicting Water Quality In Kentucky Lakes Using Remote Sensing.

Garrett Stillings and Mark Martin Kentucky Division of Water Water Quality Branch Predicting Water Quality In Kentucky Lakes Using Remote Sensing.
A landscape perspective of stream food webs: Exploring cumulative effects and defining biotic thresholds.

A landscape perspective of stream food webs: Exploring cumulative effects and defining biotic thresholds.
Problem: Understand/predict the dynamics of aquatic microbial populations. Aquatic Application: Goals and Approaches Approaches: Wireless, networked sensing.

Problem: Understand/predict the dynamics of aquatic microbial populations. Aquatic Application: Goals and Approaches Approaches: Wireless, networked sensing.
ARE OBSERVATIONS OBTAINED DIFFERENT?. ARE OBSERVATIONS OBTAINED DIFFERENT? You use different statistical tests for different problems. We will examine.

ARE OBSERVATIONS OBTAINED DIFFERENT?. ARE OBSERVATIONS OBTAINED DIFFERENT? You use different statistical tests for different problems. We will examine.
Harmful Algal Blooms and Microcystin in the Tidal Fresh James River, Joe Wood, Ph.D. - Chesapeake Bay Foundation *Research performed while at VCU.

Harmful Algal Blooms and Microcystin in the Tidal Fresh James River, Joe Wood, Ph.D. - Chesapeake Bay Foundation *Research performed while at VCU.
Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.

Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.
Repeated Measures ANOVA Used when the research design contains one factor on which participants are measured more than twice (dependent, or within- groups.

Repeated Measures ANOVA Used when the research design contains one factor on which participants are measured more than twice (dependent, or within- groups.
Pomme de Terre Lake Water Quality Summary Pomme de Terre Lake Water Quality Summary 2005-2014 US Army Corps of Engineers Environmental Resources Section.

Pomme de Terre Lake Water Quality Summary Pomme de Terre Lake Water Quality Summary US Army Corps of Engineers Environmental Resources Section.
DR. PAUL A. BUKAVECKAS VIRGINIA COMMONWEALTH UNIVERSITY Developing water quality standards to Protect the James River against Impacts from Algal Blooms.

DR. PAUL A. BUKAVECKAS VIRGINIA COMMONWEALTH UNIVERSITY Developing water quality standards to Protect the James River against Impacts from Algal Blooms.
James River CHLa Study Data Analysis Workgroup Question: Are our current CHLa criteria protective of aquatic life? To answer this question, we will use.

James River CHLa Study Data Analysis Workgroup Question: Are our current CHLa criteria protective of aquatic life? To answer this question, we will use.
Species Diversity of Beneficial and Pest Insects in Home Gardens Cameron, Rachael, Barney, Puja, Nathaniel James Johnson, Crystal, Christie, John, and.

Species Diversity of Beneficial and Pest Insects in Home Gardens Cameron, Rachael, Barney, Puja, Nathaniel James Johnson, Crystal, Christie, John, and.
Inferential Statistics: SPSS

Inferential Statistics: SPSS
>Vertical gradient; >FW overlays SW; >FW flow dominates over tides >greater vertical mixing; >Moderate tidal action >Vertically homogenous; >Vigorous tidal.

>Vertical gradient; >FW overlays SW; >FW flow dominates over tides >greater vertical mixing; >Moderate tidal action >Vertically homogenous; >Vigorous tidal.

Similar presentations

Ads by Google