Black Duck Adaptive Harvest Management Working Group
November 17, 2000 Sandusky, Ohio
Workshop Summary
(Revised December 15)
Following is a summary of the Black Duck Adaptive Harvest Management Working Group workshop held on November 17, 2000 in Sandusky, Ohio. The workshop was held in conjunction with the Black Duck Joint Venture Technical Committee meeting and was graciously hosted by the Ohio Division of Wildlife. The intent of this summary is to provide an overview of the workshop along with key discussions and decisions. This summary does not include minutes of all of the activities and discussion that took place.
The
agenda for the workshop is included in Appendix A. Appendix B includes
additional references. This summary is posted on the Black Duck AHM Working
Group web site at http://coopunit.forestry.uga.edu/blackduck/
. Components of the summary included in the appendices may also be included
other places on the web site and updated over time.
Welcome and Introductions
Michael J. Conroy with the Georgia Cooperative Wildlife Research Unit opened the meeting and welcomed all participants. David J. Case of D.J.Case and Associates served as meeting facilitator.
Introductions
were made. Meeting attendees included:
|
Name
|
Representing
|
email
|
|
Fred
Johnson
|
USFWS-
OMBM
|
fred_a_johnson@fws.gov
|
|
Bob
Blohm
|
USFWS-
OMBM
|
robert_blohm@fws.gov
|
|
Steve
Wendt
|
CWS-
National
|
steve.wendt@ec.gc.ca
|
|
Ken
Ross
|
CWS-
Ontario
|
ken.ross@ec.gc.ca
|
|
Myrtle
Bateman
|
CWS-
Atlantic
|
myrtle.bateman@ec.gc.ca
|
|
Jerry
Serie
|
USFWS-
Migratory Birds
|
Jerry_Serie@fws.gov
|
|
Graham
Smith
|
USFWS-
Migratory Birds
|
Graham_Smith@fws.gov
|
|
Bill
May
|
Ohio
Division of Wildlife
|
bill.may@dnr.state.oh.us
|
|
Steve
Barry
|
Ohio
Division of Wildlife
|
steve.barry@dnr.state.oh.us
|
|
George
Haas
|
USFWS-
R5
|
George_Haas@fws.gov
|
|
Brigitte
Collins
|
CWS-
Ontario
|
Brigitte.Collins@ec.gc.ca
|
|
Mark
Shieldcastle
|
Ohio
Division of Wildlife
|
Mark.
Shieldcastle@dnr.state.oh.us
|
|
H
W Heusmann
|
Mass.
Div. Fish & Wildl.
|
H.heusmann@state.ma.us
|
|
Melody
Miller
|
Indiana
DNR
|
mmiller@bluemarble.net
|
|
Daniel
Bordage
|
CWS-
Québec
|
Daniel.Bordage@ec.gc.ca
|
|
Nathan
Zimpfer
|
Univ.
Georgia
|
nathanz@mac.com
|
|
Christopher
Fonnesbeck
|
Univ.
Georgia
|
chrisf@fonnesbeck.net
|
|
Dave
Case
|
USFWS
|
dave@djcase.com
|
|
Michael
Conroy
|
USGS/
Univ. Georgia
|
conroy@smokey.forestry.uga.edu
|
Workshop Objectives
The objectives for the workshop were to:
Provide Working Group members with some hands-on experience using the models; and
Get feedback from the Working Group.
Mike Conroy gave a brief overview on the project for new people-- how we came to be where we are today and how we got to this meeting. The group revisted the fact that we are working toward an international harvest strategy, but that no decision has been made that such an approach will be implemented.
Mike reviewed the single-population black duck model. The basis for this model isi laid out in detail in the report by Conroy and Miller (download). Basically, the model starts with breeding populations for black ducks and mallards, and specifies production rates under 2 competing hypotheses: (a) competition with mallards , (b) no competition with mallards. For each of the fall populations projected, the model then specifies a response to harvest management under 2 competing harvest hypotheses: (a) compensation through density dependent mortality, and (b) no compensation (density-independent mortality). This results in 4 projected breeding populations for the next year; under adaptation the weighted average of these is used, with the weights being based on the relative agreement of the models to data. The weights are modified by comparison of each model's prediction with the breeding population estimates the following year; models that come closer to the observed BPOP receive more weight in decision making in subsequent years. A major shortcoming of this model is that it doesn't incorporate the fact that there may be more than 1 stock of black ducks.
Opened
for questions. Most questions were to clarify the data sets and procedures
used to obtain estimates for the model.
Schematic Overview of Spatial Black Duck Model
This presentation revolved around proposed, preliminary delineation of populations based on band recoveries and other data. Refer to accompanying text and maps and other figures.
Mike
went through the Proposed Breeding Areas, Harvest Areas, and Wintering
Areas (download).
Several questions followed:
Q:What about birds
that winter in Ontario? How are they accounted for?
A: This is an important
point. At present these birds are treated as if they winter in the U.S.
We may need to consider re-drawing the boundaries of the wintering areas
to account for this. In general we may have to redraw some
of the boundaries between the proposed breeding areas to better match administrative
units.
Q:Seems like we may
need to split the Atlantic Flyway wintering area into a north and south
unit
A: This is one possible
approach. Another is to allow birds to first move to the Mississippi
Flyway and then to the southern Atlantic Flyway; at present birds starting
in the western breeding area only move either to the Mississippi Flyway
or the Atlantic Flyway.
Q: Did you only use
direct recoveries
A: Yes, for the estimation
of movement and harvest rates. For fidelity rates we examined using indirect
recoveries.
Reviewed annual life cycle
Q: Fred asked question re integration of BD with E Mallards.
Data Sets Used to Parameterize Spatial Model
Examined distribution from breeding areas / northern harvest areas (B1/H1N and B2/H2N) to southern harvest areas (H1S, H2S) using direct band recoveries. Analysis suggested greater tendency (up to 0.5 or higher) for B2 birds to move to H1S (s. Atlantic Flyway) than for B1 to go to H2S. Estimates are now encoded in transition matrices in the spatial version of ASDP but are subject to revision following more detailed analyses.
Attempted to estimate fidelity rates (defined as probability that a bird breeding in a specific area returns to breed in that area the following year), essential components of the spatial model, using combination of direct and indirect recoveries. So the approach has limited success (estimates are not believable) and for now we are simply assuming 0.9 fidelity rates for all areas, ages, and sexes. This is a high priority to get right.
A:
This is an intriguing possibility and bears looking into.
Analysis of US and Canadian Harvest Regulations for Use in AHM modeling
The intent of the analysis was to use annual regulations data (i.e. season length, and bag limits) and create distributions of realized harvest rates under the 3 regulatory packages of restrictive, moderate, and liberal for the US and Canada (recognizing that these mean different things in the US and Canada). The resulting distributions were to be used as distributions from which ASDP would randomly choose a harvest rate, adding partial controllability to our model. At the moment we have modeled our analysis after the Francis et al (1998, Journal of Wildlife Management 62:1544-1557.) analysis, by placing groups of years into a particular regulations package.
The data is very noisy, meaning that at the moment no clear indication that we can associate a particular range of harvest rates with a particular regulations package (i.e. a harvest rate of 0.10 could have resulted from any of the regulations packages). The suggestion was made that the harvest may be confounded with changes in the number of hunters over time. Thus, a liberal harvest today and a liberal harvest 15 years ago could produce vastly different harvest rates. In a subsequent analysis we will attempt to remove this extraneous variation through an analysis of covariance and re-estimate the distributions.
Download
presentation in PDF format.
Introduced exercise
for participants to choose a regulations package
Interactive harvest simulator:
The simulator is available in both Microsoft Excel and Quattro pro. It is preferable to have at least MS Office 98, and Quattro Pro version 8 or later. The simulator was based on the observed distribution of harvest rates in the U.S. and Canada over 3 historical periods, corresponding to "liberal" , "moderate", and "restrictive" season lengths and bag limits for black ducks.
Participants were asked to use the harvest simulator to attempt to solve each of the following hypothetical harvest management problems:
1. Select regulatory packages so as to assure that harvest rate is equal in U.S. and Canada
2. Select regulatory packages to assure that harvest is equal among all 4 harvest areas.
3. Select regulatory packages to assure that AF harvest rate > MF harvest rate.
Each group of 3-4 participants was asked to keep track of how many years the result turned out "right" (that is, the achieved harvest rate met the stated goal, e.g., equal between the U.S. and Canada under #1) and to repeat the simulation 20 times (100 years total). The results were highly variable, both between groups for the same question, and within group among the questions. The exercise reinforced what we already suspected: that regulations result in highly variable achieved harvest rates, making fine-tuning of harvest via regulations extremely difficult.
Results
of Application of Spatial AHM Model for Obtaining Optimal Harvest
Mike presented the results of some preliminary analyses comparing decision making under 4 approaches:
Harvest decision delineated E-W but same across international border within E or W
Harvest decision delineated N-S (i.e., Canada and US) but same E-W
Harvest decision independent among 4 harvest areas.
Java Simulation Applet for Spatial Model
A
prototype of the Java simulation applet for the spatial model was previewed
by Chris Fonnesbeck. The revised interface allows users to set area and
population-specific harvest policy and model specific weights. The Java
code must still be reviewed for consistency with the ASDP output. This
will be available on the website as soon as possible. Note that the general applets not directly involving the blackduck project (i.e. density dependence, compensation, Bayesian model weighting) will be formally moved out of the blackduck website, and onto a more general
site pertaining to population modelling.
Next Steps in AHM Development
Mike Conroy gave an overview of the priorities of the University of Georgia team over the next few months. They include:
Analytical issues: better estimation estimation of the production function, updating the production models, introducing environmental conditions, resolve issues about overlap between breeding populations surveys (need common metric), harvest distribution/parameterization, work on survival functions, tons of work on the spatial models
Wrestling with issues of spatial delineation of populations - spatial separation of decision-making
Objective function needs to be worked on.
Have to deal with mallards
Communications
The Working Group discussed communications and agreed that the primary focus should be on internal audiences. Specific action items include:
Q&A Summary. Dave Case will work with Mike Conroy to develop a draft Q&A on the effort for use primarily with internal audiences. The draft will be distributed to the Working Group for review. A final will be ready for distribution at the Flyway meetings;
Private section of website. It was agreed that items should be moved to the public section ASAP - the private section should be used primarily for draft material awaiting review and final approval by the Working Group. It terms of passing out the access codes to the private section, it was agreed that we shouldn't encourage use of the private section, but if someone really wanted access it was not that big of a deal; and,
Applets. Those applets dealing with "general" modeling will be moved to a generic "learning tools" site and linked to the black duck site. The black duck specific applets will be fined-tuned and posted for review by the Working Group over the next couple of months.
The
next Working Group meeting is scheduled for the week of June 11-15, 2001
in Quebec City, Quebec. The specific dates and meeting length will be determined
based on feedback from those not attending the workshop and on progress
over the next couple of months.
Appendix
A
Agenda
WORKSHOP
ON ADAPTIVE HARVEST MANAGEMENT OF AMERICAN BLACK DUCKS
17 November 2000, Sandusky Ohio
Agenda (DraftOctober 24, 2000)
0815
--Welcome and Introductions
0830
-- Meeting objectives (Dave Case)
0845-0915
-- Review of single-population AHM model for black ducks (M. Conroy)
0915-0945
-- Schematic overview of spatial black duck model (M. Conroy)
1000-1015 -- Break
1015-1045
-- Data sets used to parameterize spatial model (M. Conroy)
1045-1115
-- Analysis of US and Canadian harvest regulations for use in AHM modeling
(N. Zimpfer)
1115-
1200 -- Discussion(facilitated by Dave Case)
1200-1300
-- Lunch
1300-1400 -- Results of application of spatial AHM model for obtaining optimal harvest policies (M. Conroy)
1400-1500 -- Java simulation applet for spatial model (explanation, hands on demo: C. Fonnesbeck)
1500-
1700 -- Discussion and feedback from group (facilitated by Dave Case)
Appendix
B
Project
homepage: http://coopunit.forestry..uga.edu/blackduck/
Project reports and presentations: http://coopunit.forestry.uga.edu/blackduck/papers.html
Working
Group meetings: http://coopunit.forestry.uga.edu/blackduck/meetings.html
More information on AHM: http://www.consecol.org/Journal/vol3/iss1/art8/