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Source: C. Benton Monitoring Program Development David Senn, Emily Novick, Anthony Malkassian February 4, 2014 1.Background/assumptions 2.Monitoring Program Development: proposed approach a.3 year plan b.Year 1 3.Feedback
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Monitoring Program Development

Feb 25, 2016

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Monitoring Program Development. Background /assumptions Monitoring Program Development: proposed approach 3 year plan Year 1 Feedback. David Senn, Emily Novick , Anthony Malkassian February 4, 2014. Source: C. Benton. Goal: Feedback on discussion topics. Discussion Topics/Questions. - PowerPoint PPT Presentation
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Page 1: Monitoring Program Development

Source: C. Benton

Monitoring Program Development

David Senn, Emily Novick, Anthony MalkassianFebruary 4, 2014

1. Background/assumptions

2. Monitoring Program Development: proposed approacha. 3 year planb. Year 1

3. Feedback

Page 2: Monitoring Program Development

Discussion Topics/Questions

• Highest priority experimental studies to inform monitoring?

• Highest priority data analysis to inform monitoring?

• Approach to program development

Goal: Feedback on discussion topics

Page 3: Monitoring Program Development

Nutrient science/management questions• Increasing biomass does trajectory indicate future impacts?

• Phytoplankton composition, toxins Caused by nutrients?

• Low DO in margin habitats, impacts Anthropogenic nutrients?

• Future adverse impacts Current loads + future scenarios

• How do various nutrient sources contribute to ambient concentrations (space, time) Bay?

• What load reductions will mitigate or prevent impairment?

Page 4: Monitoring Program Development

Monitoring Program Background

1. Need for a sustainably-funded, regulatory-driven nutrient monitoring program

2. Declining support ($) for USGS science program

3. Future monitoring program willa. include/build around current USGS program + other effortsb. regulatory-driven approach will have different requirements

4. Program should be an optimal blend blend of ship-based measurements, moored sensors, and other methods (e.g., AUVs, remote sensing)

Page 5: Monitoring Program Development

5. Broad goals of program: a. Assess current conditions (impaired? yes or no)b. Track status and trendsc. Data for model calibration (physical, chemical, biological)

6. Want/need to take advantage of cooperative/collaborative effortsa. USGS-Menlo Parkb. USGS-Sac (moored sensors)c. IEP/DWR (both discrete and moored programs)d. other institutions (e.g., RTC)

7. Need for a research vessela. Polaris aging, USGS may not continue supportingb. need to carry out work on shoals/shallows

Monitoring Program Background

Page 6: Monitoring Program Development

What will shape Monitoring Program?

Page 7: Monitoring Program Development

Nutrient Science Program

Modeling

Monitoring Special Studies

Assessment Framework

Loads

Page 8: Monitoring Program Development

ModelingAssessment Framework

Nutrient Management/Science Questions

Indicators

Monitoring

- chl-a- dissolved oxygen- phytoplankton composition- algal toxins- …- others (?)

Supporting measurements- …

e.g., • identify magnitude, duration, size of a

problematic bloom• spatial/temporal resolution of monitoring

to detect a problemModel Calibration

- high resolution data (moored sensors for chl-a, DO, turbidity)- additional analytes (e.g, TN, TP)- rate measurements- hydrodynamic or physical data

Page 9: Monitoring Program Development

Thompson et al., 2008

What monitoring is needed to detect this?

Either for…- compliance- model calibration

Moorings, continuous sensors

Long-term USGS cruises/stations

?

? ?

Page 10: Monitoring Program Development

9/6/13 9/8/13 9/10/13

DumbartonChl-a

Dissolved Oxygen

9/6/13 9/8/13 9/10/13

Alviso SloughChl-a

Dissolved Oxygen

9/6/13 9/8/13 9/10/13

9/6/13 9/8/13 9/10/13

Page 11: Monitoring Program Development

Sloughs Former Salt Ponds

%Time below 5 mg L-1

n=10 n=14

SFEI (2013)

100

80

60

40

20

DO in Sloughs and Former Salt Ponds (data = 2004-2012)

0

Page 12: Monitoring Program Development

Alviso Slough: June 2012 – April 2013

Data: M Downing-Kunz, USGS

8

4

0

10

Page 13: Monitoring Program Development

Phytoplankton composition in South Bay and Lower South Bay

s36

s32s27

s18

Data: USGS

Cell counts (%total)

Centric Diatoms

Pennate Diatoms

Cryptomonads

Dinoflagellates

Euglenoids

Other Flagellates

Green Algae

Cyanobacteria

Page 14: Monitoring Program Development

ModelingAssessment Framework

Nutrient Management/Science Questions

Indicators

Monitoring

- chl-a- dissolved oxygen- phytoplankton composition- algal toxins- …- others (?)

Supporting measurements- …

e.g., • identify magnitude, duration, size of a

problematic bloom• spatial/temporal resolution of monitoring

to detect a problemModel Calibration

- high resolution data (moored sensors for chl-a, DO, turbidity)- additional analytes (e.g, TN, TP)- rate measurements- hydrodynamic or physical data

Page 15: Monitoring Program Development

Monitoring Planning NeedsHabitats• Deep subtidal• Shoals• margins

Compartments• Sediments

– Biota– chemistry/process

• Water column– Basic chemistry – Other chemistry, processes, toxins– Phytoplankton biomass, composition– Other biota

Approach• Ship-based• Moorings, AUVs

What to measure• Analytes/processes• Approach(es)

Organizational/Institutional• Funding, partnerships, logistics

Page 16: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Page 17: Monitoring Program Development

Implement Phase 1 v1.0

March 2014Draft Program Development Plan

2015 20162014 2017

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Reporting or meetings

Assessment framework

Iterative refinement of indicators, criteria, etc.→| →| →|

Page 18: Monitoring Program Development

Implement Phase 1 v1.0

March 2014Draft Program Development Plan

2015 20162014 2017

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Reporting or meetings

Assessment framework

Iterative refinement of indicators, criteria, etc.→| →| →|

Page 19: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Reporting or meetings

Page 20: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Reporting or meetings

Page 21: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Reporting or meetings

Page 22: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Reporting or meetings

Page 23: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Carry out Data analyses/studies

Carry out Experimental studies

Reporting or meetings

Page 24: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Carry out Data analyses/studies

Carry out Experimental studies

Reporting or meetings

Page 25: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Carry out Data analyses/studies

Carry out Experimental studies

Reporting or meetings

Page 26: Monitoring Program Development

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

March 2014Draft Program Development Plan

Draft Program Structure

Program Structure v1.0

Carry out Data analyses/studies

Carry out Experimental studies

Reporting or meetings

Programmatic/Institutional Considerations

Page 27: Monitoring Program Development

March 2014Draft Program Development Plan

Implement Phase 1 v1.0

2015 20162014 2017

Assessment framework

→Phase 2 v1.0

→ Phase 3 v1.0

→Phase 1 v1.1, v2.0

Reporting or meetings

Iterative refinement of indicators, criteria, etc.→| →| →|

Inventory potential program components to address high priority issues

Monitoringprogram Development

Evaluate and prioritize monitoring program components

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Model development Carry out modeling studiesModeling

Carry out Data analyses/studies

Carry out Experimental studies

Draft Program Structure

Program Structure v1.0

Programmatic/Institutional Considerations

Page 28: Monitoring Program Development

March 2014Draft Program Development Plan

Page 29: Monitoring Program Development

Monitoring Planning NeedsHabitats• Deep subtidal• Shoals• margins

Compartments• Sediments

– Biota– chemistry/process

• Water column– Basic chemistry – Other chemistry, processes, toxins– Phytoplankton biomass, composition– Other biota

Approach• Ship-based• Moorings, AUVs

What to measure• Analytes/processes• Approach(es)

Organizational/Institutional• Funding, partnerships, logistics

Page 30: Monitoring Program Development

March 2014Draft Program Development Plan

Lay out issues related to …• Habitat• Compartments• Approach• What to measure/how• Organizational/Institutional

Put forward…• Approach for monitoring program development• Obvious major components• Major unknowns, uncertainties

Page 31: Monitoring Program Development

MonitoringProgramInvestigations

Identify studies and data analysis needed to inform monitoring component requirements/structure

Carry out Data analyses/studies

Carry out Experimental studies

Experimental Studies• Measuring phytoplankton composition• Pigments• flow cytometry/imaging

• Toxins

✔✔

Data analysis• Historical data: spatial/temporal resolution to address need• Historical data + modeling• what are we measuring (mixing, space, time)?

• Moored sensors: data analysis, logistics/maintenance

✔ Some work underway

Page 32: Monitoring Program Development

Discussion Topics/Questions

• Highest priority experimental studies to inform monitoring?

• Highest priority data analysis to inform monitoring?

• Approach to program development