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Stella Swanson, Ph.D. Monitoring Principles. Principle #1: Know Why We Are Monitoring. Four basic reasons to monitor : Compliance Monitoring : to demonstrate compliance with license requirements Monitoring in Support of Certification : e.g. ISO; reclamation certificate

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stella swanson ph d
Stella Swanson, Ph.D.

Monitoring Principles

principle 1 know why we are monitoring
Principle #1:Know Why We Are Monitoring

Four basic reasons to monitor:

  • Compliance Monitoring: to demonstrate compliance with license requirements
  • Monitoring in Support of Certification: e.g. ISO; reclamation certificate
  • Operational Monitoring for Adaptive Management: e.g. effluent treatment data in support of continuous improvement goals of the Environmental Management Plan
  • Regional Cumulative Effects: e.g. joint industry/government studies of airsheds
principle 2 monitoring is not research
Principle #2:Monitoring Is Not Research

Monitoring cannot answer all questions.

It is important to know when a question

must be answered by research.

research versus monitoring
Research Versus Monitoring

Research

  • Objective: investigate fundamental scientific questions
  • Focus: test theory
  • Outcomes: scientific papers, further development of theory
  • Applications: input to monitoring programs, models, design of mitigation, reclamation refinements to regulations

Monitoring

  • Objective: demonstrate effectiveness of environmental management and regulations
  • Focus: specific questions regarding status, trends or compliance
  • Outcomes: databases, monitoring reports
  • Applications: feedback to operations
research versus monitoring example
Research Versus Monitoring Example

Monitoring

  • Objective: test toxicity of pit lake water using standard test species
  • Focus: confirm predictions developed from research
  • Applications: feedback to EMS and decisions re: requirements for treatment and/or additional dilution of pit lake water

Research

  • Objective: study the effects of naphthenic acids plus salinity
  • Focus: test Hypothesis that naphthenic acids plus salinity will act together to cause more effects than either one separately by conducting laboratory and field observations
  • Applications: predicting multiple stressor effects
research versus monitoring quick check
Research Versus MonitoringQuick-Check
  • If it’s an interesting “what if” question, it’s probably research
  • If it’s a question of “let’s check to be sure” it’s probably monitoring
when will research be required
When Will Research Be Required?
  • examples of questions that cannot be answered without research:
    • Baseline: year-to-year variation in phytoplankton populations in regional lakes
    • Monitoring: what is the cause/effect relationship between variation in zooplankton community structure and exposure to OSPW
principle 3 know the questions we are asking
Principle #3:Know the Questions We are Asking
  • Monitoring must address specific questions
  • Three main categories:

1. Status: point-in-time

2. Trends: temporal and spatial

3. Effects: project effects; cumulative effects

status questions examples
Status Questions - Examples
  • Compliance monitoring: Are monthly means and yearly maximum within license limits?
  • Certification monitoring: Do littoral zone performance criteria (e.g. macrophyte biomass) meet design requirements?
  • Operational monitoring: Did the adjustment to the flow-through rate produce the expected results?
  • Regional monitoring: Did the unusually wet spring affect the length of time that turbidity persisted in the lake?
trend questions examples
Trend Questions - Examples
  • Compliance monitoring: Are there seasonal trends in parameters that are governed by license limits?
  • Certification monitoring: Is macrophyte cover and benthic invertebrate biomass in the lake increasing as predicted?
  • Operational monitoring: Has the flow-through rate adjustment made because of site-wide water management constraints affected naphthenic acid degradation rate?
  • Regional monitoring: Have there been similar year-to-year trends in zooplankton populations in regional lakes as has been observed in the pit lake?
effects questions examples
Effects Questions - Examples
  • Compliance monitoring: Do chronic toxicity test results using the required suite of tests stay within license requirements?
  • Certification monitoring: Do long-term monitoring quadrats in the littoral zone show the expected gradual build-up of a detrital layer on the sediments?
  • Operational monitoring: Does the number of waterfowl interactions with pit lake water and sediments warrant change in mitigation measures ?
  • Regional monitoring: Has there been a statistically significant change in fish growth rates or age distribution over the past 5 years in regional lakes compared to the pit lake?
principle 4 be clear about purpose of indicators
Principle #4:Be Clear About Purpose of Indicators
  • Intrinsic importance; e.g. waterfowl
  • Early warning; e.g. acute toxicity tests
      • minimal time lag in response to stress
      • discrimination low
      • screening tool: accept false positives
  • Sensitive indicator; e.g. proportion of metal-sensitive invertebrate species
      • high fidelity in showing adverse effect
      • must be relevant to state of ecosystem
  • Process/functional indicator; e.g. primary production
principle 5 use consistent criteria for selecting indicators
Principle #5: Use Consistent Criteria for Selecting Indicators
  • High Signal-to-Noise Ratio
  • Rapid Response
  • Reliability/Specificity of Response
  • Ease/Economy of Monitoring
  • Ecological Relevance
  • Effectiveness of Feedback to Regulation and Adaptive Management
application of criteria for indicator selection varies
Application of Criteria forIndicator Selection Varies
  • Compliance monitoring: rapid response
  • Certification monitoring: reliability
  • Operational monitoring: high signal-to-noise ratio; feedback to management
  • Regional monitoring: reliability; ecological relevance; feedback to management

Ease/Economy is always an important criterion and is

correlated with the state of knowledge

principle 6 define acceptable change
Principle #6:Define Acceptable Change

Definition will depend upon the type of

monitoring:

  • Status
  • Trends
  • Effects
defining acceptable change status monitoring
Defining Acceptable Change:Status Monitoring
  • Compliance monitoring: compare to license limits
  • Certification monitoring: compare to certification requirements
  • Operational monitoring: compliance with Environmental Management Plan objectives
  • Regional monitoring: compare to baseline
defining acceptable change trend monitoring
Defining Acceptable Change:Trend Monitoring
  • Compliance monitoring: e.g. spatial extent of water quality change within defined limits of mixing zone; temporal maxima within license limits
  • Certification monitoring: e.g. 5-year record of littoral development
  • Operational monitoring: e.g. consistent improvement in ability to predict seasonal lake water quality
  • Regional monitoring: e.g. consistent decline in metal concentrations with distance from point sources as predicted in EIAs
defining acceptable change effects monitoring
Defining Acceptable Change:Effects Monitoring

Statistical definitions: e.g. “critical effect size” of two standard deviations from a reference mean

  • require reliable data on natural variability from valid reference areas
  • require professional judgment because the links between observations or experimental results and effects on population persistence, community structure or ecosystem function can be highly uncertain.
defining acceptable change effects monitoring1
Defining Acceptable Change:Effects Monitoring
  • probabilistic definitions: e.g. “a 10% chance, or less, that 20% or more of the total population of forage fish would receive an exposure greater than the Ecological Benchmark Value” (Oregon DEQ 1998)
    • require the estimation of the probability of exposure
    • require estimation of local population abundance
    • require sufficient data to determine the EBV
summary
Summary
  • Know Why We are Monitoring
  • Monitoring is Not Research
  • Know the Questions We are Asking
    • Status; Trends; Effects
  • Be Clear about the Purpose of Indicators
  • Use Consistent Criteria for Selecting Indicators
  • Define Acceptable Change