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Analyzing HAB data for supporting Chlorophyll Criteria Development Peter Tango Maryland Department of Natural Resources

Analyzing HAB data for supporting Chlorophyll Criteria Development Peter Tango

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Analyzing HAB data for supporting Chlorophyll Criteria Development Peter Tango Maryland Department of Natural Resources. Methods. Visual analysis relative to published HAB thresholds for living resource or human health effects. Statistical approaches. - PowerPoint PPT Presentation

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Page 1: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Analyzing HAB data for supporting Chlorophyll Criteria Development

Peter TangoMaryland Department of Natural Resources

Page 2: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Methods

• Visual analysis relative to published HAB thresholds for living resource or human health effects.

• Statistical approaches

Page 3: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

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CHLOROPHYLL a

M.

ae

rug

ino

sa

Co

lon

y C

ou

nt/

ml Microcystis Bloom regionLack of Blooms

What conditions do we need to achieve to reduce the likelihood of a cyanobacteria bloom?

bloom ~ 1,700 colonies /mlor 10,000 cells/ml

Page 4: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango
Page 5: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

NORTHERN Coastal Bays only!

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0 100000 200000 300000 400000 500000 600000 700000 800000Aureococcus counts (cells/ml)

chl a

(m

g/l)

Category 1

Category 2

Category 3

No Category 3 blooms

Page 6: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Brown Tide: Coastal Bays Polyhaline example

• If we are talking about a max of 5 ug/L to eliminate risk of Brown Tide, then we are likely talking about means or medians in the 1-3 ug/L region, allowing for natural variability.

• Marine oligotrophy: < 1ug/L, mesotrophy 1-3 ug/L, eutrophy 3-5 ug/L (Smith et al 1999)

• Molvaer et al. 1997: oligo < 2 ug/L, meso 2-7, eutro > 7 ug/L.

Page 7: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Statistical Approach: Odds Ratio• Odds of a bloom for a particular CHLA threshold were

developed for Prorocentrum minimum in Maryland waters.

• Odds = # events (bloom samples)/# nonevents (nonbloom samples) for all data less than or equal to the threshold.

• Probability of a bloom = odds/(1+odds).• Max probability of a bloom = bloom samples/ total

samples ~ 11% or 1 in every 9 spring samples is expected to contain > 3000 cells/ml.

• Spring = March-May.

Page 8: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum bloom probability (spring = March-May) based on data below a chosen CHLA threshold

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CHLA threshold

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Bloom Prob <Threshold % Max Prob

Blue diamonds are bloom probability when data are contained a chosen CHLA threshold.Red squares are the % maximum potential bloom levels. (the overall level in the Bay, regardless of CHLA is 1 in 9 samples or 11% of samples will contain a bloom level of Prorocentrum in spring.)

Page 9: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum bloom probability (spring = March-May) based on data below a chosen CHLA threshold

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CHLA threshold

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Bloom Prob <Threshold % Max Prob

Narrow range of chla that lacks potential for blooms. 0-5 ug/L.

Page 10: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum bloom probability (spring = March-May) based on data below a chosen CHLA threshold

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CHLA threshold

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Bloom Prob <Threshold % Max Prob

Rapid change in bloom probability at 5-10 ug/L

Page 11: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum bloom probability (spring = March-May) based on data below a chosen CHLA threshold

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CHLA threshold

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Max

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Bloom Prob <Threshold % Max Prob

Lower response slope between 10-30 ug/L

Page 12: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum bloom probability (spring = March-May) based on data below a chosen CHLA threshold

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0 20 40 60 80 100 120 140

CHLA threshold

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om

pro

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d %

Max

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y

Bloom Prob <Threshold % Max Prob

Response slope continues declines above 30 ug/L as we approach the maximum probability for bloom potential somewhere near100 ug/L.

Page 13: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Prorocentrum summary• < 5ug/L CHLA has probability of 0 for Prorocentrum

blooms in spring.• Prorocentrum has a steep response curve to increasing

CHLA. • *IF* this curve portends P.minimum response to

reducing CHLA in the Bay as well, then response rates will improve the more we reduce CHLA levels.

• The higher the initial CHLA level, the slower the initial response from the maximum bloom potential we have observed in the Bay as we reduce CHLA levels.

Page 14: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Examples of published trophic status classifications

Freshwater: Eutrophic>10 ug/L (Wetzel 2001)

6.7-31 ug/L (mean) (Ryding and Rast 1989)

9-25 ug/L (Smith et al. 1999)

Phytoplankton Reference Communities:Spring median: 4.3 (1.0 – 13.5)Summer median: 8.6 (3.2-15.9)

Polyhaline: Good Conditions

Historical Ches BayAnnual mean: 0.46-1.21(Harding and Perry 1997)

Olson 2002Spring mean 3.9 ug/LSummer mean 3.2 ug/L

Phyto Reference CommunitiesSpring 2.9 median (1.1-6.7: 5-95%)Summer 4.4 median (1.7-8.7:5-95%)

Page 15: Analyzing HAB data for supporting  Chlorophyll Criteria Development Peter Tango

Summary

• Published HAB thresholds provide a mechanism for comparison with CHLA levels providing insight into controlling their concentrations.

• Concentrations limiting blooms thus far show similarity with published trophic status boundaries

• Certain approaches may provide a means to gauge cost-benefit relationships linked with bloom probabilities