Closing the Loop: Modeling the coho salmon life cycle in the context of habitat, climate, and management - PowerPoint PPT Presentation

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Closing the Loop: Modeling the coho salmon life cycle in the context of habitat, climate, and management

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... .94 0.01 21893.94 285.82 285.82 1962.00 36.50 291.80 0.04 7719.58 0.04 7719.58 211.50 211.50 1963.00 101.70 402.00 0.02 24662.58 0.02 24662.58 242.50 242.50 ... – PowerPoint PPT presentation

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Title: Closing the Loop: Modeling the coho salmon life cycle in the context of habitat, climate, and management


1
Closing the Loop Modeling the coho salmon life
cycle in the context of habitat, climate, and
management
Pete Lawson, Libby Logerwell, Nate Mantua, Bob
Francis, and Vera Agostini
2
  • OCN
  • Oregon Coastal Natural
  • Coho salmon
  • Aggregate of 13 basins
  • Rain-fed streams
  • Threatened status (on and off)

D Air Temperature Data
O Streamflow Data
3
The OCN Problem OCN Recruits (t1) and Spawners
(t-2)
4
OCN Recruits (t1) and OPIH survival (t)
5
OCN smolts and smolts/spawner reconstructed from
OPIH- and GAM-estimated marine survivals. 1992
estimate omitted from analysis.
6
Environmental data sets -- freshwater
  • 1969-1999 smolt year
  • Stream Flow
  • From 6 USGS gauging stations
  • Monthly mean flow
  • Standardized at each station, then averaged
  • Air Temperature
  • From 3 WRCC locations
  • Annual mean air temperature
  • Standardized at each station, then averaged

7
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8
Partial plots for OCN smolts
Fall Transitionv
Fall Transition
Annual Temperature
Winter Flow (t1)
Spring Flow (t1)
9
Observed and fitted OCN smolts
Smolts
Year
10
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11
So why should we believe this?
Because I repeated the analysis with a
completely independent data set from the Queets
River, Washington.
  • One basin
  • Glacier-fed
  • 1981-2000 smolt years
  • Smolts and spawners measured directly
  • No dams
  • Flow data from USGS -- one station
  • Air temperature data from WRCC -- one station

12
Results for Queets Smolts
Winter Flow (t1)
Annual Temperature
Smolts
Year
13
(No Transcript)
14
The bottom lineMarine and freshwater
environmental variables are correlated so that
good (poor) marine survival is associated with
good (poor) freshwater production.
Year SST.JFM.t0 Trans UW.AMJ SST.JFM.t1
SST.JFM.t0 0.466 1
Trans 0.246 0.225 1
UW.AMJ -0.239 -0.196 -0.462 1
SST.JFM.t1 0.439 0.134 0.261 -0.140 1
Fall Trans 0.058 -0.019 -0.235 0.011 0.124
P4 -0.054 -0.125 0.352 0.175 -0.054
P5 0.156 0.047 0.468 -0.399 0.082
Ann Temp 0.676 0.375 0.424 -0.461 0.359
Marine
Freshwater
15
Metapopulation Dynamics
Population Dynamics
Harvest Management
Freshwater Habitat
Marine Survival
Climate Patterns
16
lt 35
200 thousand
17
Local Extinction Probabilities with Zero Harvest
and Two Harvest Policies
18
DONT PANIC! The model is definitive, reality may
vary.
19
Nine Questions to Validate Models
  • 1. Is the structure adequate to serve the
    purposes for which it will be used?
  • 2. What characteristics of the simulated system
    have been left out or simplified?
  • 3. What might the effects be?
  • 4. How do model structure and behavior compare to
    similar models?
  • 5. How are uncertainty and error incorporated
    into the analysis, and how do the results depend
    on uncertainties and assumptions?

20
Nine Questions to Validate Models (cont'd)
  • 6. Are the parameter definitions and ranges
    justifiable?
  • 7. Does the model produce expected behaviors for
    ordinary, as well as extraordinary cases-i.e.,
    have the authors defined the range over which the
    model is valid, and the circumstances under which
    the model is questionable or invalid?
  • 8. Does the model respond appropriately and
    usefully to simulated policies?
  • 9. How does the analysis relate to the problem as
    it is defined, and the conclusions drawn?

21
Lawson 1993
22
PDO Projected by Hadley Centre Model
23
Peter LawsonNMFS/NWFSC2030 SE Marine Science
DriveNewport, OR 97365541-867-0430peter.w.lawso
n_at_noaa.gov
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