A stated preference choice
technique was used to understand angler preferences and
tradeoffs for harvest regulations in the red drum
fishery. In contrast with research designs using opinion
measurement (inquiring about anglers’ preferences for
each rule and regulation), a stated preference choice
technique provided an alternative means for deriving
anglers’ preferences as well as trade-offs among
proposed regulations. In a situation where there is a
current abundance of red drum stocks, managers wanted to
know which harvest regulations (at current and proposed
levels) were preferred by anglers and the tradeoffs they
are willing to make in the process. Our goal was to help
the TPWD identify a user-friendly set of harvest
regulations for red drum while also meeting their
overall management objectives of maximizing angler
satisfaction and long-term fishery conservation.
Attributes of managerial
interest were bag limit, minimum size, maximum size, and
retention of big fish. Expectation (non-regulatory)
attributes included average fish size, catch
probability, and travel cost. A factorial design of 7
attributes generated 2,187 choice profiles. Accordingly,
we used 10 different versions of a mail questionnaire
with 8 choice sets each. In 2003, we mailed
questionnaires to 1,377 red drum anglers, and asked them
about their fishing trip preferences. About 791 were
returned usable for an effective response rate of 60%.
We used conditional logit to estimate preference models.
As expected, we found anglers wanted to increase the bag
limit for red drum, decrease the minimum size, and
increase the maximum size but they did not want to
retain additional fish over the current maximum size.
Scenario analyses were used to
help managers optimize the selection of the best
combination of regulation attributes for more efficient
management: two different simulation results of scenario
analysis were made to provide feasible management
options. The first scenario analysis with constraints on
expectation attributes indicated that the status quo
option (the most conservative harvest restrictions) was
least preferred and scenario 7 (the most relaxed harvest
restrictions) was most preferred. The second scenario
analysis with variations in anglers fishing trip
expectations showed that the status quo option (scenario
1) was no longer the least favored scenario and scenario
7 was not most preferred any more.
We found anglers were willing
to relax certain aspects of management rules but not
others (e.g., retention of more fish above the current
bag limit). Red drum anglers also indicated a preference
for conservation over exploitation. While anglers showed
increasing preferences for fishing trips with better
fishing and service qualities, they were also likely to
be concerned with the long-term sustainability of fish
stocks. With restriction and expectation attributes
examined simultaneously in this research, anglers
appeared to be interested in harvest as well as
sustainability.