NMFS - UW Salmon Modeling Framework Review Committee
DATE: March 27, 1997
MEMORANDUM FOR: Salmon Model Review Group and interested parties
SUBJECT: Notes from Feb 21 1997 meeting NMFS Montlake Laboratory
FROM: Robert Kope, Tom Wainwright, Jim Anderson
CONTENTS
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project goals reviewed
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status of oversight committee
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scheduling
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communication and travel
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working groups
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^ data structure
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^ migration
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^ maturation
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^ calibration and optimization
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^ definitions
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^ model I/O
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^ model certification
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^ model comparison
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^ data
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^ documentation
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Jim Norris Report
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Rich Comstock Report
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People for workgroups
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Next meeting
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Distribution List
PROJECT GOALS REVIEWED
Kope - discussed background for the models
ESA requires consultation for any federal activity that may impact a
listed species. The intent is to establish consistent jeopardy standards
for ESA consultations and recovery planning. Two interests for models
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risk assessment for developing consistent standards for listing and recovery
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evaluating impact of harvest on listed stocks
The long-term goals of this project as stated before are:
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Provide a common framework for both conservation risk assessment and harvest
management analysis.
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Incorporate life cycle (production) models for both species to evaluate
harvest and conservation strategies.
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Incorporate formal risk-assessment methodologies.
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Allow flexibility to accommodate new methods and model designs.
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Provide an interface with the largest possible subset of the ocean and
freshwater databases maintained by PSMFC.
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Expand the geographic scope of current harvest models.
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Link coho and chinook salmon harvest models.
Discussion noted we can divide the effort into a harvest model effort and
a habitat model effort. The two efforts would eventually be joined but
the oversight committee being formed is to address the issues of harvest
modeling. The two models are:
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RAM (Risk Assessment Model) - A coastwide salmonid conservation and extinction
risk assessment model. This model will apply the Bayesian risk assessment
paradigm to multi-species and multi-population assessments in support of
recovery and restoration planning for protected stocks. The model will
eventually incorporate effects of harvest, hatchery, and habitat management
as well as ocean variability and metapopulation structure.
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HAM (Harvest Assessment Model) - An integrated chinook and coho harvest
model. This model will be directed toward assessing year-to-year management
regulations and longer-term harvest management policies. It will incorporate
spatial aspects of migration and harvest and explicitly include bycatch
and non-landed mortality components.
STATUS OF THE OVERSIGHT COMMITTEE
As defined previously the Oversight Committee mainly will focus on the
Harvest Assessment Model. The Oversight Committee responsibilities include
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A. Specification activities:
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set delivery dates of a management model
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identify functionality for ESA and comanagement
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assist in developing conceptual framework
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identify input and output requirements
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work on a regular, but informal basis, with development team
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B. Certification activities
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identify and provide data for calibration
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data to certify that general model can be configured to FRAM, SFM, SSM
and CRiSP2
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evaluate sensitivity of model to define critical assumptions and implications
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communicate results and characteristics of model to management community
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use model in negotiation process
Legal issues of who can participate in the Oversight Committee are framed
by the unfunded mandates reform act which exempts committees composed entirely
of government representatives from the requirements of the Federal Advisory
Committee Reform Act. This provides no basis for formal participation of
the Canadian representatives, but they are encouraged to participate in
an informal capacity.
Jim Scott suggested we have PSC as the oversight organization since
it already has a certification process. He also added he likes the role
of the guidance panel as outlined in the notes from the Dec 20 1996 meeting.
It was made clear that to obtain a model for management, the fish managers
must be closely involved with all aspects of the model development.
SCHEDULING:
Replacement for FRAM is needed by 1998.
The new model will be modified to split groups in to marked and unmarked,
tagged and untagged groups. The model will be able to deal with groups
both individually and together.
In developing a general coastwide model we look at the currently available
models. We are developing a general structure that should be applicable
for a multispecies-multistock analyses.
Our short-term goal is to have a prototype model running by the end
of Sep 97. By this we mean a generalized model that can be configured to
duplicate the output of one of the existing models, such as the PSC chinook
model. For the longer-term our goal is to have a model that can be used
to evaluate selective fisheries for the 1998 season. That would require
having a model certified sometime in Feb 98.
COMMUNICATION AND TRAVEL:
The issues of communication of the Oversight Committee and the informal
subgroups was addressed. It was suggested that PSFMC might assist in this
supporting travel for the Oversight Committee and any subgroups.
A WEB page will be used to exchange information between the subgroups
group the Oversight Committee and the model development team. A Web based
list server has been implement and can be used to organize communications
on specific topics see the harvest web page:
"Comments can be added to the Web using the hypertext notes at" http://www.cqs.washington.edu/harvest
The web list server could eventually include a salmon management web
group that will connect all salmon harvest management activities in the
region. Software to develop a community web page has recently become available
(www.throw.com). This might have value to our model development and salmon
management in general. Anderson will review this and see if its worth implementing
WORKING GROUPS:
We identified the need for informal working groups to address specific
issues. Currently identified issues are:
Model structure: To develop the model code structure
Migration algorithms: To identify the types of algorithms for ocean
migration
Maturation algorithms: To formulate maturation rates in terms of fish
migration to rivers
Calibration and optimization: To define procedures for calibration model
with CWT and fishing effort data. Identify algorithms to find optimum harvest
strategies within the model
Definitions: to standardize definitions between models
Model I/O: To define input-output requirements for harvest management
Certification: develop a process to certify a model for management
Model Comparison: compare existing models to the new model Data: Obtain
data for comparison of existing models to the new model
Documentation: to be developed by UW.
Risk Assessment: to identify risk assessment model function from the
recommendations of the risk assessment workshop panel report (anticipated
to be available in March 1997).
Notes on the issues facing the working groups are discussed below
MODEL DATA STRUCTURE:
Progress on developing model structure was presented by Jim Norris
The model structure will
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synthesize all existing models into a general format based on processes
rather than data structures;
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allow for different algorithms for each model process;
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provide a flexible calibration procedure;
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track cohorts (eg marking and tagging status) separately.
MIGRATION:
A work group for migration model development:
A first task is to collect literature. This should include a literature
survey of the migration models available. This will be collected and distributed
to the groups as a series of papers. Jim Anderson will employ a student
(David Caccia) to put the literature together on migration.
MATURATION:
The approach would be to express maturation as an age specific migration
rate into the river
Kope has algorithm to express maturation function in migration framework
Johnson concerned about maturation to migration basis framework
Scott noted it may be difficult to calibrate a migration-maturation
structure with CWT
Noted: age of maturation changes from year to year and may relate to
ocean distribution of fish as related to ocean circulation and fish growth
CALIBRATION AND OPTIMIZATION:
Model calibration will be considerably involved and will be considered
at a later meeting. We anticipate creating an informal model calibration
subgroup that will address the issued in detail.
The discussion of "optimization" occured in several contexts. One was
how to calibrate the model. Jim Scott remarked that his staff advised that
we should use optimization routines to find the set of free parameters
(ie calibrated parameters) that give the best fit of the model outputs
to corresponding observed data.
A second context was in the basic model computation enine. Here the
problem is that of finding single year harvest levels that satisfy complex
policy objectives, such as equalizing Indian and Non-Indian catches, meeting
minimum escapement goals, allocating catches within Indian and Non-Indian
fisheries. These types of optimization algorithms would run during simulation
years as part of the computation engine. Someone observed that there may
be multiple solutions and that it will be difficult to identify these and
select between them during within year computations.
A third context was that of designing code that "optimizes" overall
computation speed.
DEFINITIONS:
Blair Holtby noted model specifications are need to define equivalence
of terminology between the new and existing models. This led to a specific
task to identify common nomenclature for the models. A table will be developed
to identify equivalent model terms and parameters. Lead on this was Jim
Packer 902- 2754. Jim Scott and Larry Lavoy will assist. The goal is to
have a table ready for the next meeting.
MODEL I/O:
Input Output specification must be identified by managers using the
model. To do this we will first spend time with the FRAM model to understanding
its output and how this meets the needs of managers.
Blair Holtby suggested a model needs risk assessment output specifications
including:
(short term risk = comanagement issue) risk of not achieving
an escapement foal with in a seasons
(long term risk = ESA issue) risk of long term extinction
MODEL CERTIFICATION:
The harvest assessment model will need to be certified for use by fisheries
managers. A certified model would be used by the formal fisheries technical
committees responsible for making recommendations for harvest management.
These committees generally will not have time to evaluate a new model.
In this case our task is to provide enough information so the technical
teams can understand the steps we have made to validate our model for management.
The Oversight Committee might take this function of certifying the model.
The certification will include model documentation and comparison to existing
models with a common data set.
Membership in the certification group.
The certification is likely to be a PFMC and PSC process. Our model
Oversight Committee can help idenfity how we can assist these groups in
model certification.
It was noted that Canada has similar issues upcoming and they wish to
participate in our process to the degree possible.
MODEL COMPARISON:
An important step in certification is to compare the model to the existing
models. This will involve a subgroup to run the existing models and compare
them to the new model.
The new model will be compared to FRAM
Pete Lawson suggested we need exact equivalence of the new model to
the existing models. This may or may not be entirely possible. If a one-to-one
equivalence is not possible the Oversight Committee will need to resolve
the issue if differences in the model are significant and if changes need
to be made to resolve differences.
Need to work with and through the technical advisory committees for
the various fishery management group
FRAM is the only existing model for coastwide coho
PSC or CRiSP2 model is the only existing coastwide chinook model
DATA:
Comstock distributed three data maps to be used for comparison of models:
fish (catch sampling effort stock), age, time period. Note we may have
catch and fish sampling different. Need to have one set of definitions
for the data reconstruction and comparison.
Rich Comstock and Rick Moore: can reconstruct data for comparison of
the models in three time steps.
Rich Comstock will work with Norma Sands, Rick Moore and Peter Lawson
the week after the meeting. Was this done? what was accomplished?
DOCUMENTATION:
A manual theory, calibration and validation: UW will take the lead in
model documentation with assistance of NMFS and the Oversight Committee.
Develop an executive summary showing main issues of the documentation.
This would give fisheries managers a quick overview of the model.
The CRiSP 2 manual is currently being updated. This can be used as a
framework for the new manual.
JIM NORRIS REPORT ON MODEL DEVELOPMENT
On the issue of fish migration in the model
A migration matrix will be computed outside the model
The matrix will be stock and year specific. The Newman one dimensional
migration model is one way to define migration but we can define other
methods that allow branching of the linear model. A third way is to represent
migration by spatial boxes. A fourth way is to have a 2-dimension diffusion
model.
All migration models are likely to use CWT and effort data. A question
was asked, is there another or better way to estimate migration. It is
also possible to incorporate a numerical simulation model such as NERKAsim
Organization of the data structure follows the convention
REGION Number -> Fishery unit -> Harvest Object
Time Step: A period of time during which it is assumed that all fisheries
within a given geographic region are operating on the same abundance of
fish from each cohort.
The mathematical implication is that the independent variables used
within the harvest functions are the same for all fisheries within the
time step and region.
TASKS PRIOR TO NEXT MEETING
Objects definition meeting
Comparison of terminology in the different models
Tasks by the model development group
Norris: develop object structure for model
Norris: identify nomenclature of model terms
Scott: consider issues of optimization routines
RICH COMSTOCK PRESENTATION ON DATA
Rich Comstock described his data for model comparison including
CWT recovery
catch and effort data
identifying statistical catch areas
Rich is working with Ken Newman on a frequent basis
Question- What will be done with the PM model. It has a heuristic migration
model. The PM model has been converted to the PYTHON objected oriented
code, which is similar to C++.
PEOPLE MENTIONED FOR WORK GROUPS
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model nomenclature table - 3 Jims and Packard
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conceptual framework objects - Jim Norris, Troy Frever and Rich Comstock
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model functionality for fisheries management this included needed I/O:
Scott, Dan Bottom (?), Doug Gill
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calibration issues: Ken Newman. Rich. Comstock.
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literature on migration and climate ecology: Jim Anderson will find a student
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list server and web page issues: Anderson and staff
NEXT MEETING APRIL 18 at NMFS Montlake Lab
DISTRIBUTION LIST
| Jim Anderson |
UW |
| Robert Bayley |
NMFS |
| Jim Berkson |
CRITFC |
| Rich Comstock |
USFWS |
| Carrie Cook-Tabor |
USFWS/NMFS |
| Judy Cress |
UW |
| Rich Dixon |
CDFG |
| Peter Dygert |
NMFS |
| John Geibel |
CDFG |
| Brent Hargreaves |
DFO |
| Ken Henry |
NMFS, REFM |
| Blair Holtby |
DFO |
| Ron Kadowaki |
DFO |
| Jeff Koenigs |
ADFG |
| Robert Kope |
NMFS |
| Pete Lawson |
ODFW/NMFS |
| Steve Lindley |
NMFS |
| Richard Methot |
NMFS |
| Marianne McClure |
CRITFC |
| Rod McInnis |
NMFS |
| Rick Moore |
WDFW |
| Gary Morishima |
QIN |
| Ken Newman |
U of Idaho |
| Jim Norris |
UW |
| Mike Prager |
NMFS |
| Bill Robinson |
NMFS |
| Norma Jean Sands |
ADFG |
| Jim Scott |
NWIFC |
| Steve Smith |
NMFS |
| Dan Viele |
NMFS |
| Tom Wainwright |
NMFS |
| Brian Riddel |
Department of Fisheries and Oceans, Nanaimo BC V9R 5K6 |
Those who don't have email address on this list will each receive a
hard copy in the mail.