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Comparing Current and Desired Status: Gaps Analysis

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Title: Comparing Current and Desired Status: Gaps Analysis


1
Comparing Current and Desired Status Gaps
Analysis
  • Brief overview ICTRT Viability Criteria
  • Abundance/Productivity Gaps Concepts and
    Calculations
  • Considering Uncertainties future environmental
    conditions, continued direct hydro survival
    improvements.
  • Results Summaries Snake Basin Chinook and
    Steelhead

2
General TRT Tasks
  • Define goals
  • Population identification
  • Viability criteria (ESU population levels)
  • Example ESU Scenarios
  • How far do we have to go to get there?
  • Current status assessment
  • Defining gap between status and goal
  • Choosing and implementing actions
  • Limiting factors analyses
  • Evaluating the effect of proposed actions

3
TRT Hierarchical Criteria
ESU
ESU Status
Stratum/Geographic Unit/Major Population Group
Status
Stratum 2
Stratum 3
Stratum 1
Pop Status
Pop Attributes
4
ICTRT Viability Criteria
  • ESU level criteria
  • Major Population Groupings
  • Minimum number of viable populations in each
  • Major life history patterns represented
  • Historical population size representation
  • Population Level Criteria
  • Abundance/Productivity
  • Spatial Structure/Diversity

5
What Are the ICTRT Criteria Designed For?
  • Providing benchmarks for
  • Setting planning goals and objectives
  • Starting point for delisting criteria, recovery
    goals
  • Assessing the current viability of an ESU
  • Formulating protection and/or recovery strategies
  • Designing monitoring/evaluation efforts
  • To assess changes in population status,
    contributions from recovery and/or protection
    efforts

6
Purpose of MPG Criteria
  • General VSP recommendation An ESU needs multiple
    spatially distinct and diverse populations to be
    viable.
  • 1) To protect against catastrophic loss of any
    one population.
  • 2) To ensure maintenance of long-term
    meta-population processes
  • 3) To ensure that AMONG population diversity is
    maintained

7
Snake River Spring Summer Chinook Major
Population Groupings Populations
Upper Salmon R. Group Lemhi R.
Pahsimeroi R. North Fk Panther Cr
Valley Cr. Yankee Fk East Fk Upper
Salmon Upper Salmon tribs.
South Fork Salmon Group South Fork East
Fork/Johnson Cr. Secesh R.
Lower Snake Tribs Group Tucannon R. Asotin R.
Middle Salmon R. Group Big Cr. Bear
Valley Marsh Cr . Sulphur Cr. Loon Cr.
Camas Cr. Chamberlain Cr. Upper Mainstem
tribs Lower Mainstem tribs
Grand Ronde/Imnaha Group Imnaha R. Big
Sheep Cr. Wenaha R. Minam R.
Lostine/Wallowa R. Catherine Cr. Upper
Grand Ronde
Clearwater (Ext.)
Above Hells Canyon (Ext)
8
Figure E-2
9
Population LevelAbundance/Productivity Criteria
  • Abundance should be high enough that
  • In combination with intrinsic productivity,
    declines to critically low levels would be
    unlikely assuming recent patterns of
    environmental variability
  • Compensatory processes provide resilience to the
    effects of short-term perturbations
  • Subpopulation structure is maintained (e.g.,
    multiple spawning patches, etc)
  • Status estimates should consider statistical
    uncertainties

10
Parameters contributing to risk (Abundance
Productivity)
trend
Variance ( autocorrelation)
abundance
N
time
11
Population Level Spatial Structure and Diversity
  • Three interrelated categories
  • Structure spawning aggregations, spatial
    relationships
  • Maintaining Natural Variation
  • Habitats and Natural Processes

12
Integrating Across SSD Criteria
  • Simple Weighted scoring
  • A population would be rated at HIGH risk if
  • Average rating across spatial distribution
    criteria is HIGH RISK or
  • Rating for life history or direct genetic
    criteria at HIGH Risk or
  • Average rating across Life history, genetics,
    habitat and selectivity criteria is HIGH

13
Assessing Population Viability Integrating
Across VSP Criteria

14
ICTRT Viability Curves
  • Expressed in terms of a simple hockey stick model
    (can generate curves for other functions)
  • Used a constant Quasi-extinction risk level of 50
    spawners
  • Incorporated minimum abundance thresholds
    (function of historical spawning area of the
    population)
  • Modeling includes average age structure,
    estimated autocorrelation/variance in brood year
    productivity rates

15
Viability Curve Basic PrinciplesIntrinsic
Productivity
At Capacity
Below Capacity
Next Generation Spawners
RaSmax
RaS
Replacement 1 spawner for every 1 parent spawner
Parent Spawners
16
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17
Population Size Thresholds
  • Populations with fewer than 500 individuals are
    at higher risk for inbreeding depression and a
    variety of other genetic and demographic
    concerns.
  • Increased thresholds for larger populations
    promote the full range of abundance/ productivity
    objectives.
  • Avoid Allee affects
  • Ensure compensatory processes
  • Provide for spawning in multiple sub-areas

18
Viability Curve
19
Wenatchee River
Current abundance productivity
  • Comparison to Viability Curve
  • Abundance 10-year geomean Natural Origin
    Returns
  • Productivity Geomean of spawner to spawner
    return rates most recent 20 years, parent
    escapements below 75 of the threshold. Indexed
    to annual marine survivals to improve estimate of
    rate under average conditions.
  • Conclusion Wenatchee Spring Chinook population
    is at HIGH RISK based on current abundance and
    productivity. The point estimate for abundance
    and productivity is below the 25 risk curve.

Oval /- 1 standard error Lines /- 2 standard
errors
20
Observed A/P Gaps
  • Quantitatively gauging the relative change in
    survival/capacity required to move a population
    from current status to alternative viability
    levels (e.g., 5 or 1 risk over 100 years).
  • Expressed terms of return/spawner.
  • Gaps can be reduced by improved survival at any
    life stage from parr to returning adult.
  • Assume recent (post-1980) climate, hydropower
    system, hatchery and harvest influences
  • For a given population, more formal limiting
    factors analyses should be used to evaluate the
    potential for change at any given life history
    stage.
  • Caveat All four VSP parameters (abundance,
    productivity, spatial structure and diversity)
    contribute to population viability. The ICTRT
    uses a series of metrics to assess current risk
    with respect to these factors. Comprehensive risk
    assessments are included in population specific
    status reports.

21
ICTRT Gaps Reports
  • Two components
  • Observed Gaps Generic assessment of a/p gaps for
    populations with sufficient abundance data series
  • More detailed stochastic matrix modeling for
    selected populations with sufficient data
  • Incorporates alternative climate scenarios
  • Improvements to life stage survivals (e.g.,
    current vs historical hydro)
  • Can incorporate more detailed (life stage
    specific) analyses of recovery strategies
  • projected improvements in survival or effective
    capacity
  • Matrix Model Populations
  • Yearling Chinook Wenatchee, Marsh Cr., South
    Fork and Catherine Cr.
  • Steelhead Umatilla River, Rapid River (subarea
    of Little Salmon River population).

22
A/P Gaps
  • Observed Gap Quantitative change required to
    meet ICTRT A/P viability criteria
  • Simple Algebraic approach
  • Starting Point Population Current Status draft
    abundance/productivity summaries. Calculated
    using data from 1978-1999(2001) brood years
  • Most populations Shortest distance from point
    defined by current status (abundance
    productivity) to a selected risk curve.
  • Alternative calculations for higher productivity
    populations capacity considerations

23
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24
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25
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26
A/P Gap
27
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28
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29
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30
Key Considerations
  • Productivity affected by mortality and survival
    at all life stages.
  • The gap analyses themselves do not identify or
    target a particular life stage A/P gaps can be
    addressed by improvement opportunities at any
    life stage.
  • Gap calculations can be sensitive to assumptions
    regarding relative hatchery effectiveness when
    parent spawners have high proportions of hatchery
    origin fish.

31
Considering Uncertainty
  • Different ways to consider uncertainty
  • Checking current status evaluate the impact on
    projected risks of directly incorporating
    uncertainty measure
  • Gaps analyses point estimates of gap under a
    range of potential future climate/ocean scenarios
  • Status assessment approach can be adapted to gaps

32
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33
Snake River Steelhead Populations
  • Major Population Group Analyzed Base Gap(5
    Risk)
  • Lower Snake 1 1.23
  • Grande Ronde/Imnaha 7 of 9 1.04 (0.59 to 3.09)
  • South Fork Salmon 6 of 8 0.45 (0.32 to
    1.33)
  • Middle Fork Salmon 6 of 8 1.27 (0.65 to 1.70)
  • Upper Salmon 7 of 9 1.07 (0.44 to 2.28)

34
Results
  • Snake Fall Chinook
  • One of three historical populations extant,
    largest populations extirpated
  • Considerations
  • Strong upward trend in abundance in recent years
    BUT
  • Relatively short time series of applicable A/P
    data
  • Lack of data to calculate SAR, parr to smolt
    relationships
  • Changes in exploitation and hydro/transport over
    time
  • Increased presence of multiple life history
    patterns
  • Observed Gaps dependent on time frame
  • 5 Risk 0.01 to 0.28
  • 1 Risk 0.07 to 0.47

35
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36
Modeling Alternative Futures
  • Matrix modeling
  • Alternative Future Environmental Scenarios
  • Historical patterns (50-100 years)
  • Recent patterns (25 Years)
  • Direct hydro survival improvements
  • Continuation of recent observed improvements
  • Modifications from Zabel et al. 2006
  • Population-specific (rather than ESU-level)
  • Climate function relies on PDO, upwelling, SST
    and WTT

37
Climate scenarios
Poor
Historic
38
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39
Insert fig 2 flowchart
40
South Fork Chinook A/P Gap Example
Gap
Gap
Gap
Recent Hydro
Recent Hydro
Recent Hydro
Warm PDO Years
Base Environmental
Recent 60 Year
41
Summary
  • Base gaps for Snake River Spring/summer chinook
    populations range from 0.32 to greater than 3.00.
  • Alternative climate assumptions can substantially
    affect the absolute value of gaps Assuming that
    the future would be more like longer term
    conditions reduces gaps by 60-70, assuming
    consistent poor survivals (like 1990s) increases
    gaps by about 20
  • Survival increases required to meet the 1 risk
    level would be 1.3 to 1.5 times the levels needed
    to meet the 5 risk criteria.
  • For most populations, the survival changes being
    modeled for hydrosystem actions alone would not
    be sufficient to meet ICTRT viability criteria.
  • Next steps modeling projected survival benefits
    of strategies generated through regional recovery
    planning efforts.
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