Designing Monitoring Programs to Measure and Determine the Effectiveness of Habitat Restoration Acti - PowerPoint PPT Presentation

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Designing Monitoring Programs to Measure and Determine the Effectiveness of Habitat Restoration Acti

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... the Effectiveness of Habitat Restoration Actions in the Lower Snake River ESU ... Main issue is identification of 'mature monitoring questions for each step' ... – PowerPoint PPT presentation

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Title: Designing Monitoring Programs to Measure and Determine the Effectiveness of Habitat Restoration Acti


1
Designing Monitoring Programs to Measure and
Determine the Effectiveness of Habitat
Restoration Actions in the Lower Snake River ESU
  • Policy Translation TeamSteps 1-5
  • Keith Wolf (KWA-Colville.), Ian Parnell (ESSA),
  • Steve Katz (NOAA), Charlie Paulsen (Paulsen
    Environmental Research), Nick Bouwes (Eco Logical
    Research)

2
Where are we now?
  • March 29, 2005 version provided
  • March 29, meeting notes (NWFSC) meeting provided
  • Main issue is identification of mature
    monitoring questions for each step
  • Progress, but design lacks essential policy
    answers for Steps 6
  • Step 7 contingent upon Step 6

3
The DQO processLesson learned
  • Answers to DQO question are necessary to develop
    a monitoring program
  • Answers to DQO questions are currently too
    general to develop monitoring strategy
  • Answers are hard to come by
  • There are several types of management questions
    that each require different monitoring designs
  • DQO does not incorporate communication between
    customer and those designing RME programs
  • First step is to communicate with the customer to
    clarify general management question
  • Run specific management question through the DQO
    process before anticipating all management needs

4
The Management Question
  • To design a monitoring program we must start with
    a clear concise management question.
  • Question from the customer is often too general
    (or is it the right question?)
  • Must interact with the customer to mature the
    general question into a clear and concise
    management question.

5
Clarifying the Management Questionthe
population response
  • What are all the species, down to life-history
    type and gender, of interest?
  • What are the spatial boundary of the population
    for which inferences will be made?
  • What is the population response you want to
    evaluate to determine whether a change has
    occurred?
  • Can/should you infer population level responses
    from discrete or independent variables (e.g.
    monitoring habitat effectiveness)?

6
Clarifying the Management Questionthe
population response
  • Define change in the population response (i.e.
    what is the reference and final condition)?
  • What is the size of change in population response
    you want to be able to detect?
  • Over what time period(s) do you want to describe
    this population response?
  • Are there surrogate measures that you can be used
    to answer your question?

7
Clarifying the Management Questionexplaining
the population response
  • To what factors do you want to be able to
    attribute the observed population response?
  • e.g. management actions (e.g. restoration),
    changes in spawner numbers, changes in climate,
    other anthropogenic impacts (e.g. land use, water
    withdraws, etc.), natural disturbances (e.g.
    fires, landslides, floods, etc.)

8
Uncertainty, errors, and costs
  • Expectation is that more resources get a better
    answer trade uncertainty for .
  • Not entirely resources can improve measurement
    error, not process error.
  • Strategies for reducing error can deal with
    either
  • Reduce measurement error by
  • Collecting more samples,
  • More frequent samples,
  • Cleaner protocols.
  • Reduce process error by
  • Doing a different experiment
  • Requires a different question
  • In any event the diversity of approaches is only
    limited by the diversity of experimental designs
    need specific design features before specifying
    changes to it eg
  • To reduce standard error for a t-test ?Increase
    replication
  • To reduce process error ? Multivariate approach
    to discriminate process

9
Error and Uncertainty
  • What are the risks?
  • Can we adequately describe the implications?
  • Are they the same as trade-offs?
  • Can risks be mitigated (i.e. err to the side of.?

10
Clarifying the Management Questionthe
population responseEXAMPLE
  • Initial question
  • To what degree have restoration and/or protection
    actions affected the subject population (Table 1,
    Habitat DQO)?

11
Clarifying the Management Questionthe
population responseEXAMPLE
  • What are all the species, down to life-history
    type and gender, of interest?
  • Answer Spring Chinook population

12
Clarifying the Management Questionthe
population responseEXAMPLE
  • What are the spatial boundaries of the population
    for which inferences will be made?
  • Answer Marsh creek in the middle fork of the
    salmon

13
Clarifying the Management Questionthe
population responseEXAMPLE
  • What is the population response you want to
    evaluate to determine whether a change has
    occurred?
  • Answer The number of outmigrating juvenile
    spring Chinook salmon per spawner.

14
Clarifying the Management Questionthe
population responseEXAMPLE
  • Define change in the population response (i.e.
    what is the reference and final condition)?
  • Answer Change is defined as difference between
    population response at the beginning and end of a
    10 yr period after accounting for variables
    defined in explaining the population response
    (below).

15
Clarifying the Management Questionthe
population responseEXAMPLE
  • What is the size of change in population response
    you want to be able to detect?
  • Answer A 15 increase in Smolts/Spawner

16
Clarifying the Management Questionthe
population responseEXAMPLE
  • Over what time period(s) do you want to describe
    this population response?
  • Answer 10 years from now

17
Clarifying the Management Questionthe
population responseEXAMPLE
  • Are there surrogate measures that you can be used
    to answer your question?
  • Answer Redd counts- so must convert to the
    number of spawning adults. Smolt traps will be
    used to provide estimates smolt abundance

18
Clarifying the Management Questionexplaining
the population response
  • To what factors do you want to be able to
    attribute the observed population response?
  • Answer The number of spawners, the restoration
    actions within the basin, natural disturbances,
    climate indicators, habitat inventory variables.

19
Clarifying the Management Questionexplaining
the population response
  • The initial question
  • To what degree have these actions affected the
    subject population?
  • into
  • The clarified question
  • Have (the restoration projects) in Marsh creek in
    the middle fork of the Salmon River produced at
    least a 10 increase in the number of
    outmigrating juvenile spring Chinook salmon per
    spawner in 10 years (with some precision) when
    the number of spawners, natural disturbances,
    climate indicators, and habitat conditions
    not-impacted by the actions have been accounted
    for?

20
Use real examples in the DQO process (e.g.
Executive table from Kratz)
21
Plan of Action
  • Pick a specific management question (e.g.
    subbasin plan)
  • Run through question clarifier (answer questions
    through review of plan and, if need be,
    communicate with the customer)
  • Fill in DQO for specific management question to
    allow development of Step 7 with Monitoring
    Design Subgroup (May)
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