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Fillet Weight and Fillet Yield: New Metrics for the Management of Panfish and Other Consumption-Oriented Recreational Fisheries

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Proposals for regulations to improve panfish size structure often lack angler support, in part because of a perceived loss of panfish harvest. We propose that fillet weight and fillet yield, the percentage of the body weight available as fillets, are useful metrics for exploring regulation options and potential outcomes. We determined fillet weight and fillet yield for 321 Bluegill Lepomis macrochirus, 139 Black Crappie Pomoxis nigromaculatus, and 137 Yellow Perch Perca flavescens and developed equations to predict fillet weight from total length. Mean fillet yield was 29.5% for Bluegills, 28.6% for Black Crappies, and 33.1% for Yellow Perch. We used Bluegill size increases associated with a reduction in daily bag limits from 25 fish to 10 fish in seven Wisconsin lakes and then estimated fillet weights to compare the potential total weight of Bluegill fillets available to anglers under both a 10- and a 25-fish daily bag limit. We projected that many anglers might obtain a greater weight of Bluegill fillets per fishing trip under a 10-fish bag limit. We conclude that for consumption-oriented fisheries, fillet weight and fillet yield have value in demonstrating how more restrictive harvest regulations may sometimes lead to a greater weight of fillets for most anglers. Received April 19, 2016; accepted February 10, 2017
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North American Journal of Fisheries Management
ISSN: 0275-5947 (Print) 1548-8675 (Online) Journal homepage: http://www.tandfonline.com/loi/ujfm20
Fillet Weight and Fillet Yield: New Metrics for the
Management of Panfish and Other Consumption-
Oriented Recreational Fisheries
John Lyons, Andrew L. Rypel, Jonathan F. Hansen & David C. Rowe
To cite this article: John Lyons, Andrew L. Rypel, Jonathan F. Hansen & David C. Rowe (2017)
Fillet Weight and Fillet Yield: New Metrics for the Management of Panfish and Other Consumption-
Oriented Recreational Fisheries, North American Journal of Fisheries Management, 37:3, 550-557,
DOI: 10.1080/02755947.2017.1296514
To link to this article: http://dx.doi.org/10.1080/02755947.2017.1296514
Published online: 11 Apr 2017.
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MANAGEMENT BRIEF
Fillet Weight and Fillet Yield: New Metrics for the
Management of Pansh and Other Consumption-Oriented
Recreational Fisheries
John Lyons*and Andrew L. Rypel
Wisconsin Department of Natural Resources, 2801 Progress Road, Madison, Wisconsin 53718, USA
Jonathan F. Hansen
1
Wisconsin Department of Natural Resources, 101 South Webster Street, Madison, Wisconsin 53703, USA
David C. Rowe
Wisconsin Department of Natural Resources, 3911 Fish Hatchery Road, Fitchburg, Wisconsin 53711,
USA
Abstract
Proposals for regulations to improve pansh size structure
often lack angler support, in part because of a perceived loss of
pansh harvest. We propose that llet weight and llet yield, the
percentage of the body weight available as llets, are useful
metrics for exploring regulation options and potential outcomes.
We determined llet weight and llet yield for 321 Bluegill
Lepomis macrochirus, 139 Black Crappie Pomoxis nigromacula-
tus, and 137 Yellow Perch Perca avescens and developed equa-
tions to predict llet weight from total length. Mean llet yield
was 29.5% for Bluegills, 28.6% for Black Crappies, and 33.1%
for Yellow Perch. We used Bluegill size increases associated with
a reduction in daily bag limits from 25 sh to 10 sh in seven
Wisconsin lakes and then estimated llet weights to compare the
potential total weight of Bluegill llets available to anglers under
both a 10- and a 25-sh daily bag limit. We projected that many
anglers might obtain a greater weight of Bluegill llets per shing
trip under a 10-sh bag limit. We conclude that for consumption-
oriented sheries, llet weight and llet yield have value in
demonstrating how more restrictive harvest regulations may
sometimes lead to a greater weight of llets for most anglers.
A key goal in the management of consumption-oriented
recreational sheries is to provide anglers with adequate num-
bers of sh of harvestable size. But where angling effort is
relatively high, this goal may be difcult to achieve. This is
exemplied by the group of species known as pansh,often
dened as rock basses Ambloplites spp., sunshes Lepomis
spp., crappies Pomoxis spp., and Yellow Perch Perca aves-
cens, which supports some of the most popular freshwater
sport sheries in North America (USFWS and USCB 2014).
Many heavily shed pansh populations lack the large indivi-
duals that anglers prefer, detracting from their popularity and
posing a challenge to their management (Beard et al. 1997;
Coble 1988).
Pansh are widespread, common, and heavily shed in
much of North America (USFWS and USCB 2014).
Historically, the ubiquity and ease of capture of pansh has
been taken as evidence that pansh populations are relatively
immune to growth overshing, and consequently angling har-
vest limits have typically been quite liberal, in many instances
with no size limits, no closed seasons, and unlimited or high
daily bag limits (Quinn and Paukert 2009; Rypel et al. 2016).
However, because angling harvest tends to focus on the largest
individuals, liberal regulations have often led to undesirable
size structure, with abundant small sh but few of the larger
keepersthat most anglers prefer (Coble 1988; Beard et al.
1997; Miranda and Dorr 2000; Isermann et al. 2005; Rypel
et al. 2016). In response, more restrictive regulations have
been proposed to improve the abundance of larger pansh
(Allen and Miranda 1995; Beard et al. 1997;Jacobson 2005;
*Corresponding author: john.lyons@wisconsin.gov
1
Present address: Minnesota Department of Natural Resources, 1200 Warner Road, St. Paul, Minnesota 55106, USA.
Received April 19, 2016; accepted February 10, 2017
550
North American Journal of Fisheries Management 37:550557, 2017
© American Fisheries Society 2017
ISSN: 0275-5947 print / 1548-8675 online
DOI: 10.1080/02755947.2017.1296514
Edison et al. 2006; Mosel et al. 2015; Rypel 2015). Under
some conditions, harvest restrictions may lead to increases in
total shery yield as gains in the size of sh harvested offset
reductions in the number of sh kept (Colvin 1991; Webb and
Ott 1991; Allen and Miranda 1995; Isermann et al. 2007).
However, despite evidence to the contrary, many anglers per-
ceive that restrictive regulations will reduce the amount of sh
that can be kept for food, and consequently proposals to
reduce pansh harvest are often unpopular (Reed and
Parsons 1999; Paukert et al. 2002; Edison et al. 2006). Yet,
at the same time, pansh anglers often express a willingness to
keep fewer sh if those sh are larger, which is usually the
ultimate goal of more restrictive regulations (Hale et al. 1999;
Reed and Parsons 1999; Paukert et al. 2002; Isermann et al.
2005; Petering et al. 1995). This apparent contradiction in
pansh angler attitudes suggests that many anglers do not
fully understand the purpose of more restrictive regulations
and that new ways of explaining shery management goals
and expected outcomes are needed to improve support for the
acceptance of regulation changes (e.g., Petering et al. 1995).
We believe one reason anglers may not fully understand or
support more restrictive harvest regulations is the lack of an
easily applied measure to assess and explain the trade-offs
between the harvests of greater numbers of smaller sh versus
fewer larger sh. Anglers and sheries managers frequently
communicate about the quality of a sh population by dis-
cussing the size of the sh caught. However, it remains
unclear the extent to which the size of harvested sh relates
to the amount of consumable food. Fisheries managers some-
times use total shery yield, the estimated sum of the weights
of all harvested sh, to compare the effects of various regula-
tions. However, total yield for a shery is not a direct measure
of the amount of food an individual angler will likely be able
to bring home and ultimately consume. We propose that the
weight of edible llets available to anglers from sh of parti-
cular sizes would be a better metric for helping anglers under-
stand the pros and cons of different regulation options.
Our objective in this paper was to provide quantitative data
on the relationship between sh size and the amount of edible
llets for three common pansh species. We estimated llet
weight from size (total length) for three popular pansh spe-
cies, Bluegill Lepomis macrochirus, Black Crappie Pomoxis
nigromaculatus, and Yellow Perch, and we also calculated the
percentage of the body weight that is available as boneless
llets, termed llet yield. From these we used creel and shery
survey data for Bluegills from Wisconsin lakes as an example
of how llet weight and llet yield might be used to explore
and communicate to anglers the potential effects of more
restrictive harvest regulations.
METHODS
We solicited llet weight data from current or former
Wisconsin Department of Natural Resources (WDNR)
employees (including ourselves) who were willing to partici-
pate voluntarily during their nonwork personal angling activ-
ities. We asked each participating angler to provide
information on the capture location, date, sex, species, total
length (TL), total weight, and weight of the boneless skinless
llets for any Bluegills, Black Crappies, or Yellow Perch kept
for eating. We provided precision weighing scales to partici-
pants and gave general guidelines on how to prepare llets
remove skin, exclude ribs and other conspicuous bones, and
include abdominal (belly)esh, without spending atypical
amounts of time or effort in lleting the shand encouraged
participants to include as wide a size range of sh and as many
different shing trips as possible.
Fillet weight data were summarized by species, and llet
yield was calculated by dividing llet weight by sh weight
and expressing the quotient as a percentage. We compared
llet yield among species using ANCOVA with TL as the
covariate and least-squares means multiple comparisons
tests. We estimated llet weight from sh TL for each species
using a linear regression having the following form: log
10
(llet weight) = B
0
+B
1
× log
10
(TL), where B
0
and B
1
are
estimated coefcients (Neumann et al. 2012), llet weight is
measured in grams, and TL is measured in millimeters. All
statistical analyses were done in SAS (version 9.3; Cary, North
Carolina) and were considered signicant if P< 0.05.
We developed an example to illustrate how llet weights
and llet yields might be used in assessing and communicating
the projected results of angling regulations. First, we devel-
oped tables of the weights of llets that could be produced
from Bluegills, Black Crappies, and Yellow Perch of different
TLs. Second, we employed creel survey data on the distribu-
tions of daily bags and TLs of harvested Bluegills to explore
how the weight of Bluegill llets from a shing trip might
vary depending on how many sh were kept. We had available
single-year creel surveys from 34 Wisconsin lakes during
19982014 that provided data from a total of 6,401 anglers,
2,156 of whom harvested a total of 10,798 Bluegills (WDNR,
unpublished data). We used these creel data to estimate the
weight of llets an angler would obtain from realistic combi-
nations (observed means, medians, minima, and maxima) of
sizes and numbers of Bluegills. We also estimated how many
Bluegills of a particular size an angler would need to keep for
227 g (0.5 lb) of llets, which Wisconsin has used as a bench-
mark in presentations to anglers on pansh harvest regulations
(WDNR 2015). Finally, we used observed data on changes in
Bluegill TL in response to experimental reductions in daily
bag limits from 25 sh to 10 in seven Wisconsin lakes (Rypel
2015), none of which had creel surveys, to illustrate how
amounts of llets available to anglers per individual Bluegill
might change in response to more restrictive pansh harvest
limits. Across all seven lakes, Bluegill TL increased by a
mean of 21 mm following the bag limit reductions, with TL
changes in individual lakes ranging from 5 mm to 64 mm.
We assumed that the mean size of Bluegills harvested by
MANAGEMENT BRIEF 551
anglers prior to the bag limit reduction was the same as the
mean value from the 34 creel surveys of the 25-bag-limit lakes
and that the change in mean TL of Bluegills in electroshing
or fyke-net assessments of the seven lakes was also reected
in the change in the mean TL of the Bluegills kept by anglers.
RESULTS
We obtained llet weight data from 321 Bluegills, 139
Black Crappies, and 137 Yellow Perch. These data were
collected by 28 anglers (including ourselves) over a 13-
month interval (40 dates from December 21, 2013, to
January 16, 2015) from 25 discrete locations on Wisconsins
lakes and rivers. However, none of the species were collected
from all locations or by all anglers (Table 1). Bluegills had the
widest and most balanced coverage in terms of numbers of
locations and anglers.
For all three species, llet weight was strongly and signi-
cantly positively related to TL (Figure 1;Tables 2,3). At any
given TL, Bluegills had the highest llet weight and Yellow
Perch the lowest. Mean llet yield ranged from 28.6% for
Black Crappies to 29.5% for Bluegills to 33.1% for Yellow
Perch (Table 4). Black Crappie and Bluegill llet yields were
statistically indistinguishable but signicantly lower than that
of Yellow Perch (F= 6.12, P= 0.0023). Although standard
deviations for mean species llet yields were not particularly
high, ranging from 4.4% to 5.3%, the llet yield of individual
sh varied considerably, with minimum and maximum values
differing by 34.6% for Bluegills, 27.8% for Black Crappies,
and 20.8% for Yellow Perch. Black Crappies had a small but
signicant negative correlation between llet yield and TL,
whereas Bluegills and Yellow Perch had no signicant corre-
lations (Figure 1). In other words, larger Black Crappies had a
slightly lower llet yield than smaller Black Crappies, but the
llet yield of Bluegills and Yellow Perch remained constant
across different sizes.
Creel survey data from 34 Wisconsin lakes with a 25-sh
daily bag limit indicated that for anglers who had kept at least
one Bluegill, the median daily harvest per angler was 2.4 (i.e.,
50% of anglers kept three or more Bluegills and 50% kept
only one or two), the mean was 5.0 (29% of anglers kept more
than ve), and the maximum was 25, the legal upper limit
(Figure 2). Less than 1% of anglers kept the limit of 25, and
16% kept 10 Bluegills or more. The mean TL of Bluegills kept
by anglers was 173 mm. Using this mean length, the llet
weight of a single Bluegill was 30.7 g and the total llet
weights of the median, mean, 10-bag, and maximum (25-
bag) angler harvests were 73.7 g, 153.5 g, 307.0 g, and
767.5 g, respectively. It would require 7.4 Bluegills of the
mean TL to achieve the benchmark of 227 g of llets
(Table 5).
Based on the results from Rypel (2015), the projected mean
TL of Bluegills in the angler harvest after the bag limit
reduction would be 194 mm, with a range of 168 to
237 mm. From these lengths, the estimated mean weight of
llets from an individual Bluegill would be 43.8 g, with a
range of 27.3 to 84.5 g. Based on these values, many combi-
nations of Bluegill size and number kept would result in a
higher total weight of llets for the majority of individual
anglers than they would obtain under the 25-sh bag limit
(Table 5). Indeed, for the maximum projected increase in
Bluegill TL, 64 mm, an angler who kept a limitof 10 sh
from a 10-sh-bag-limit lake would have a higher weight of
llets than would an angler who kept a limit of 25 sh from an
average 25-sh-bag-limit lake.
DISCUSSION
Our study appears to be the rst to present data on sh llet
weight and its relationship to TL and then to use these llet
weights to assess different shing regulations. Fillet yield is a
metric commonly used in aquaculture and can be employed to
approximate llet weight if total sh weight is known, but only a
few estimates of llet yield for Yellow Perch and no estimates for
Bluegills or Black Crappies are available in the literature.
Rosauer et al. (2011) reported llet yields of 34.635.2%, higher
than our value of 33.1%, for captive stocks of Yellow Perch. A
higher llet yield than ours, 34.9%, for Yellow Perch from
Stilwell Reservoir, New York has also been reported (M.
Dexter, K. Van Alstine, M. Courtney, and Y. Courtney, U.S. Air
Force Academy, unpublished). Fillet yields for the closely related
Eurasian Perch Perca uviatilis were even greater, ranging from
40.1% to 47.9% (Jankowska et al. 2007;Mairesseetal.2007).
Discrepancies in the estimates of llet yield across studies could
reect differences in sh condition among populations, variation
in lleting procedures, or both.
Our application of the llet weight and llet yield data to
an experimental bag limit reduction in seven Wisconsin lakes
suggested that despite a substantial drop in the Bluegill bag
limit, from 25 sh to 10, there were a variety of realistic
TABLE 1. Description of the numbers of fish and sources of data used in the fillet weight analyses.
Species and total Individuals Locations Dates Anglers TL range (mm)
Bluegill 321 21 33 16 106245
Black Crappie 139 9 12 12 147330
Yellow Perch 137 7 7 8 118285
Totals 597 25 40 27 106330
552 LYONS ET AL.
scenarios under the new regulation in which many, if not most,
anglers would be able to bring home a similar or even greater
weight of Bluegill llets. This nding was used to help con-
vince Wisconsin anglers to endorse an expansion of the
experimental reduced pansh bag limits to 94 additional
lakes in 2016 (WDNR 2016).
Bluegill bag limit reductions can increase the total
weight of llets available to most anglers if they lead to
an increase in mean Bluegill size, which is supported by
evaluations in Minnesota (Jacobson 2005) and Wisconsin
lakes (Rypel 2015). However, these two studies indicate that
size increases may take several years to manifest themselves
FIGURE 1. Relationship of sh TL to llet weight (top panels) and llet yield (bottom panels) for Bluegills, Black Crappies, and Yellow Perch. Statistically
signicant regression lines are shown.
MANAGEMENT BRIEF 553
and seem most likely to occur in relatively productive lakes,
where angler harvest is high and larger sh are removed
before they reach their potential maximum size. In low-
productivity or low-harvest lakes, a size increase may not
occur despite a reduced bag limit. The major unknown in
any future projection of regulation effects is if and how big
of a size increase will occur, and the conclusion of whether
or not the reduced bag limit will be benecial to the har-
vest-oriented angler hinges on the magnitude of this
increase. Like all projections into the future, a variety of
assumptions had to be made about how the Bluegill popula-
tion would change and how angler harvest would respond,
and the predicted responses we present represent several
plausible but certainly not guaranteed outcomes.
The llet weight and llet yield of any species at any given
size will likely be highly variable because of the often large
differences in sh condition across space and time (Neumann
et al. 2012) and the wide range of lleting techniques and
abilities among anglers. Consequently, applications of llet
weight data to regulation assessments must be tempered by
high uncertainty in the estimates of the weight of llets avail-
able in the harvest. Thus, any equations relating llet weights
to TL and any estimates of llet yields should be treated as
rough approximations rather than precise determinations both
in sheries analyses and in discussions with anglers.
MANAGEMENT IMPLICATIONS
Our Bluegill example illustrates how llet weight can be
used to translate the potential effects of shing regulations into
a currency of direct interest to anglers. Calculations from the
equations in Table 2 or data from Table 3 or 4 allow further
exploration of how potential changes in Bluegill, Black
Crappie, or Yellow Perch TL or weight in response to more
stringent regulations might change the weight of llets an
angler could obtain from a shing trip. As a hypothetical
example, if a reduced daily bag limit from 15 to 10 pansh
TABLE 2. Coefficients and statistics for the relationship between TL and
fillet weight for the three species, using the following linear regression
equation: log
10
(fillet weight) = B
0
+B
1
× log
10
(TL), where weight is mea-
sured in grams and TL is measured in millimeters.
Regression coefcients Regression statistics
Species B
0
B
1
FP
Bluegill 5.862 3.280 1,567.89 <0.0001
Black Crappie 6.312 3.418 2,344.94 <0.0001
Yellow Perch 5.810 3.163 1,603.98 <0.0001
TABLE 3. Fillet weights at specific TLs for Bluegills, Black Crappies, and Yellow Perch, estimated from equations in Table 2. Abbreviations are as follows:
FW= fillet weight, NA = not applicable (indicates fillet weights that were not estimated for TL because they were more than 5 mm outside of the range of TLs
included in the development of the equations), and N= the number of fish required to produce 227 g (0.5 lb) of fillets, a standard Wisconsin benchmark (WDNR
2016).
Bluegill Black Crappie Yellow Perch
TL(mm) TL (in) FW (g) FW (lb) NFW (g) FW (lb) NFW (g) FW (lb) N
102 4.0 5.3 0.01 42.8 NA NA NA NA NA NA
114 4.5 7.7 0.02 29.5 NA NA NA 5.0 0.01 45.4
127 5.0 10.9 0.02 20.8 NA NA NA 7.0 0.02 32.4
140 5.5 15.0 0.03 15.1 NA NA NA 9.5 0.02 23.9
152 6.0 19.7 0.04 11.5 14.0 0.03 16.2 12.3 0.03 18.5
165 6.5 25.8 0.06 8.8 18.5 0.04 12.3 16.0 0.04 14.2
178 7.0 33.1 0.07 6.9 24.0 0.05 9.5 20.3 0.04 11.2
191 7.5 41.7 0.09 5.4 30.5 0.07 7.4 25.4 0.06 8.9
203 8.0 50.9 0.11 4.5 37.6 0.08 6.0 30.8 0.07 7.4
216 8.5 62.4 0.14 3.6 46.5 0.10 4.9 37.5 0.08 6.1
229 9.0 75.6 0.17 3.0 56.7 0.12 4.0 45.1 0.10 5.0
241 9.5 89.3 0.20 2.5 67.6 0.15 3.5 53.0 0.12 4.3
254 10.0 NA NA NA 80.9 0.18 2.8 62.6 0.14 3.6
267 10.5 NA NA NA 95.9 0.21 2.4 73.3 0.16 3.1
279 11.0 NA NA NA 111.4 0.25 2.0 84.2 0.19 2.7
292 11.5 NA NA NA 130.2 0.29 1.7 NA NA NA
305 12.0 NA NA NA 151.1 0.33 1.5 NA NA NA
318 12.5 NA NA NA 174.3 0.38 1.3 NA NA NA
330 13.0 NA NA NA 197.8 0.44 1.1 NA NA NA
554 LYONS ET AL.
was projected to increase mean Black Crappie TL in the creel
from 203 to 229 mm, then the mean weight of a llet would be
expected to increase 19.1 g (50%), from 37.6 to 56.7 g, and
the number of sh needed to meet the 227-g-of-llets bench-
mark would be expected to decline by two sh (33%), from
six to four. An angler who kept his or her limit would be
expected to take home approximately the same weight of
llets (564 g versus 567 g) under both regulations. If this
same bag limit reduction was projected to increase Yellow
Perch TL in the creel from 152 to 165 mm, then the mean
weight of llets would be expected to increase 3.7 g (30%),
from 12.3 to 16.0 g, and the number of sh needed to meet the
227-g benchmark would be expected to decline by 4.3 sh
(23%), from 18.5 to 14.2. An angler who kept his or her limit
would be expected to take home a greater weight of llets
(185 g) under the 15-sh limit than under the 10-sh limit
(160 g). Whether anglers would decide that this hypothetical
bag limit change was acceptable would undoubtedly depend
on many other factors besides just the projected increases in
individual llet weights, but they would have a better idea of
how the amount of food they might be able to bring home was
likely to change under the new regulation.
Although the mean weight of pansh llets and the total
shery yield are likely correlated, our experiences in
discussing pansh regulations with the public lead us to
believe that the llet weight and llet yield of individual
pansh are more meaningful metrics to individual anglers
than is total shery yield. Fillet yield and llet weight data
(Tables 3,4) can provide anglers with estimates of how much
food they might obtain from a single pansh or from a pansh
shing trip under different shery regulation scenarios. They
can clearly illustrate how a restrictive regulation might result
in fewer sh in the creel but similar amounts of or even more
food on the table. Providing an easy-to-understand and rele-
vant benchmark, such as the number of sh necessary for a
certain weight of llets, allows anglers to make direct and
informed comparisons among various regulation options that
might be proposed to change the size, catch rate, or both of
sh, such as the reduced bag limit in our Bluegill example. We
provide data for three pansh species, but throughout North
America at least 100 freshwater sh species have regulated
sport sheries with angler harvest, so studies of additional
species are certainly warranted. Fillet weight and llet yield
have potential utility for any species that is part of a consump-
tion-oriented recreational shery.
Although we believe that llet weight and llet yield are
more meaningful to anglers than shery yield, we certainly do
not mean to suggest that llet weight or llet yield should
replace calculations of shery yield or other relevant shery
statistics, such as population density, size structure, propor-
tional stock density, or relative weight. Fishery yield and other
shery statistics remain essential to any complete assessment
of angling regulations or other shery management activities,
and without them any analysis of potential regulation changes
will remain unacceptably speculative (Beard et al. 1997;
Isermann et al. 2007; Mosel et al. 2015). Fillet weight and
llet yield build upon rather than substitute for traditional
shery measures, providing a new communication tool for
translating essential technical results and predictions from
sheries models into a simple format of strong direct interest
to the angler. Fishery yield and llet weightllet yield are
complimentary and should be used in concert: shery yield
will provide insight into how a population might change in
response to a regulation and llet weight and llet yield will
provide insight into what that change might mean for anglers.
Given the inherently and unavoidably high variation in
llet weight and llet yield, presentations of llet weight or
llet yield information associated with a potential angling
regulation change should always be accompanied by the
caveat that these are estimated values for the averageangler,
who does not really exist, and that the actual weight of llets
that a particular angler is likely to bring home will depend on
his or her level of shing skill and lleting ability. In con-
sidering different harvest regulation alternatives, managers
should only present differences in the total weight of llets
available to the angler when these differences are relatively
large and of a magnitude that an angler would clearly notice
on the lleting board.
TABLE 4. Summary statistics for fillet yield for Bluegills, Black Crappies,
and Yellow Perch.
Fillet yield (%)
Species Mean SD Minimum Maximum
Bluegill 29.5 5.0 11.8 46.4
Black Crappie 28.6 5.3 14.3 42.1
Yellow Perch 33.1 4.4 22.4 43.2
FIGURE 2. Plot of the distribution of harvested Bluegills in the daily bags of
individual anglers from annual creel surveys of 34 Wisconsin lakes that had a
daily bag limit of 25 sh.
MANAGEMENT BRIEF 555
ACKNOWLEDGMENTS
We thank the current and former WDNR staff who provided
data: Jim Amrhein, Scott Braden, Tom Cichosz, Jody Derks, Wes
Ellarson, Steve Gilbert, Jen Hauxwell, Joe Hennessey, Elliot
Hoffman, Paul Kanehl, Ryan Koenigs, John Komassa, Kim
Kuber, Al Niebur, Randal Piette, Jonathan Pyatskowit, Mike
Rennicke, Greg Sass, Mike Staggs, Gene Van Dyck, Dan
Walchak, Kurt Welke, Max Wolter, and Ryan Zernzack. We also
thank Paul Rasmussen for statistical advice and assistance. Support
for data analysis and manuscript preparation was provided in part
by the Federal Aid in Sport Fish Restoration, Project F-95-P.
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TABLE 5. Estimated weights of Bluegill fillets available to anglers under a daily bag limit of 25 fish versus potential weights available under a limit of 10 fish.
The current daily bag limit scenario is based on creel survey data from 34 lakes; 2.4 fish is the median number harvested per angler and 5.0 is the mean. Under
the 10-fish daily bag limit scenario, possible changes in mean TL are based on the range of responses observed in an evaluation of reduced daily bag limits on
seven Wisconsin lakes (Rypel 2015). Abbreviations are as follows: NA = not applicable (as no more than 10 fish could be legally kept) and N= the number of
fish needed for 227 g (0.5 lb) of fillets.
Total llet weight (g) per individual angler harvest
Mean TL (mm)
of harvested sh Change in TL
1.0
sh
2.4
sh
5.0
sh
10
sh
25
sh N
Current daily bag limit (25)
173 30.7 70.6 153.5 307.0 767.5 7.4
Reduced daily bag limit (10)
168 Smallest (5 mm) 27.3 62.8 114.7 273.0 NA 8.3
194 Mean (21 mm) 43.8 100.7 184.0 438.0 NA 5.2
237 Largest (64 mm) 84.5 194.4 354.9 845.0 NA 2.7
556 LYONS ET AL.
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MANAGEMENT BRIEF 557
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... Many panfish populations of historically high quality have seen declines in size structure in recent years (Lyons et al. 2017). Panfish are described as rock basses Ambloplites spp., sunfishes Lepomis spp., crappie Pomoxis spp., and yellow perch Perca flavescens (Lyons et al. 2017). With a lack of large individuals, anglers struggle to find adequate fisheries (Lyons et al. 2017). ...
... Panfish are described as rock basses Ambloplites spp., sunfishes Lepomis spp., crappie Pomoxis spp., and yellow perch Perca flavescens (Lyons et al. 2017). With a lack of large individuals, anglers struggle to find adequate fisheries (Lyons et al. 2017). Continuous removal of large parental males alters the energy expense in the remaining towards gonadal development and reproductive activity (Jacobson et al. 2005). ...
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... We predict that WCS will likely rise as the climate warms, but we cannot predict whether increasing warmwater opportunities will be enough to offset the loss of coldwater and coolwater species biomass. Some lakes in our study region already experience an overharvest of sunfishes, which has led to a diminished size structure and has limited the yield of harvested fish (Lyons et al. 2017;Rypel et al. 2018). Some fisheries management agencies are testing more assertive harvest regulations (e.g., reducing Lepomis spp. ...
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... Panfish, edible species that do not usually outgrow the size of a frying pan, are an extreme example. These species are an uneconomical option for a put-and-take fishery because panfish anglers are consumption oriented, select for old, large fish that are expensive to produce, and expect generous harvest limits (Lyons et al. 2017) (Table 6). Table 6: Stock length, if the species is a panfish or not, and harvest limit statistics of seven candidate species considered as an alternative to Rainbow Trout. ...
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... A processing station could be the optimal tool to engage with anglers and to conduct research on the fillet yield among harvested sizes of fish, as Lyons et al. (2017) found that anglers may take home more meals if fewer, but larger, panfish (bluegill, black crappie, and yellow perch) were harvested. Depending on research interests, other data could be collected from the specimens including sex, gut content, and muscle for mercury concentration. ...
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... Recently, attempts to reduce panfish (i.e., bluegill, crappie, yellow perch) harvest through conservative daily bag limits and seasonal restrictions have been experimentally implemented on several Wisconsin lakes as a tool to improve size structure and provide the same amount of fillet yield to harvest-oriented anglers in these fisheries (Rypel 2015;Lyons et al. 2017). This review questions whether the promotion of CR for panfish and the implementation of more conservative harvest regulations is warranted given the observed 20 mm mean length improvement in bluegill population size structure (Rypel 2015) in lieu of the unintended potential consequences of stunting and imbalances in fish communities. ...
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... Recently, attempts to reduce panfish (i.e., bluegill, crappie, yellow perch) harvest through conservative daily bag limits and seasonal restrictions have been experimentally implemented on several Wisconsin lakes as a tool to improve size structure and provide the same amount of fillet yield to harvest-oriented anglers in these fisheries (Rypel 2015;Lyons et al. 2017). This review questions whether the promotion of CR for panfish and the implementation of more conservative harvest regulations is warranted given the observed 20 mm mean length improvement in bluegill population size structure (Rypel 2015) in lieu of the unintended potential consequences of stunting and imbalances in fish communities. ...
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Catch-and-release (CR) has become a pervasive practice and “social norm” with anglers for some inland recreational fisheries. This practice has been promoted for fish conservation and to meet angler and manager desires of greater fish abundances, angler catch rates, and trophy growth potential. Catch-and-release in north-temperate inland recreational fisheries was reviewed over time and documented the subsequent responses of fish populations to the practice in catch rates, recruitment, abundance, size structure, growth, and trophy potential primarily focusing on black bass Micropterus spp., muskellunge Esox masquinongy, walleye Sander vitreus, and panfish (sunfishes Lepomis spp., crappies Pomoxis spp., yellow perch Perca flavescens). This review suggested that angler and manager desires may not be met when fisheries are almost exclusively CR, CR may create situations where managers are unable to structure fish communities to meet such desires, and CR can cause imbalances in fisheries managed for multiple species. Because CR may be one of the biggest challenges facing inland recreational fisheries management in the 21st century and beyond, recommendations and future research considerations are provided and aimed to alleviate concerns identified from this review to better balance fisheries, meet angler and manager desires, and to keep fisheries within a safe operating space.
... Maintaining quality size structure for Bluegill fisheries may be an important management objective, but historical overharvest may have reduced size structure in northern Wisconsin lakes (Rypel et al. 2016). Experimental bag limit reductions on a subset of lakes in Wisconsin (Rypel 2015) and Minnesota (Jacobson 2005) suggest that reducing creel limits below 10 Bluegill/trip can result in increased size structure while also maintaining or increasing the yield of harvested fish (Lyons et al. 2017); however, the results vary significantly by lake, and improvements can be small. Moreover, angler attitudes and support for harvest regulation changes are mixed for Bluegill (Reed and Parsons 1999;Edison et al. 2006). ...
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Bluegill Lepomis macrochiruspopulations in 18 Nebraska Sandhill lakes were evaluated to deter- mine if a 200-mm minimum length limit would increase population size structure. Bluegills were trap-netted in May and June 1998 and 1999, and a creel survey was conducted during winter 1998-2001 on one or two lakes where bluegills had been tagged to determine angler exploitation. Thirty-three percent of anglers on one creeled lake were trophy anglers (i.e., fishing for large ( $250 mm) bluegills), whereas 67% were there to har- vest fish to eat. Exploitation was always less than 10% and the total annual mortality averaged 40% across all 18 lakes. The time to reach 200 mm ranged from 4.3 to 8.3 years. The relative stock density of preferred-length fish increased an average of 2.2 units in all 18 lakes with a 10% exploitation rate. However, yield declined 39% and the number harvested declined 62%. Bluegills would need to reach 200 mm in 4.2 years to ensure no reduction in yield at 10% exploitation. Both yield and size struc- ture were higher with a 200-mm minimum length limit (relative to having no length limit) only in populations with the lowest natural mortality and at exploitation of 30% or more. Although 100% (N 5 39) of anglers sur- veyed said they would favor a 200-mm minimum length limit to improve bluegill size structure, anglers would have to sacrifice harvest to achieve this goal. While a 200-mm minimum length limit did minimally increase size structure at current levels of exploitation across all 18 bluegill populations, the populations with the lowest natural mortality and fastest growth provided the highest increase in size structure with the lowest reduction in yield and number harvested.
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We collected annual gill-net samples of yellow perch Perca flavescens in six South Dakota lakes over 4–5 years. We also simulated the effects of reductions in daily creel limits for yellow perch (i.e., from 25 fish/angler to 5, 10, or 15 fish/angler) and use of minimum total length limits (229 and 254 mm). Population indices varied widely among lakes and among years within lakes to the extent that indices from any individual year were largely uninformative. Creel surveys indicated that few anglers typically achieved a daily creel limit of 25 yellow perch. Except in Waubay Lake, lowering the creel limit from 25 to 5 fish/angler would be necessary to achieve harvest reductions of 25% or more within most of the fisheries we examined. Minimum length limits were projected to improve size and age structure, but harvest reductions often exceeded 50% and yield declined or only slightly increased (by ≤13%). Yellow perch in these lakes had achieved much of their full growth potential by the time they reached 229 and 254 mm. Consequently, although length limits were predicted to increase age and size structures, asymptotic growth prevented yellow perch from attaining substantially larger sizes. Length limits were predicted to be most beneficial when fishing mortality represented most of the total mortality in each population and when growth occurred at median or fast rates. A 229-mm length limit was predicted to improve size and age structures with less-severe reductions in harvest or yield than a 254-mm limit. Population dynamics and the harvest-oriented nature of yellow perch anglers may dictate that yield maximization is still a reasonable management goal for many South Dakota yellow perch fisheries. Increasing the number of yellow perch that attain 229 mm is possible for certain fisheries if angler harvest represents the dominant source of mortality.
Article
A 254-mm minimum length limit on black crappies Pomoxis nigromaculatus and white crappies P. annularus was evaluated during a 6-year trial (1991–1996) at Delaware Reservoir, Ohio. The primary objective of the length limit was to increase the size of crappies harvested without substantially reducing yield. Mean length at harvest increased up to 66 mm following implementation of the length limit. However, a 78% average decrease in total annual harvest was too great to compensate for the larger size at harvest and to compensate for annual yield (kg) reductions of 38–76% while the regulation was in effect. Annual catch-and-release rates of crappies at Delaware Reservoir increased from 35–43% to 84–97% and became the greatest in Ohio. Likewise, Delaware Reservoir had greater angler catch per effort and mean size at harvest compared with unregulated crappie fisheries in Ohio. Both crappie species maintained preregulation growth rates despite modest density increases of sublegal fish, whereas relative weight decreased for larger black crappies (23–25-cm classes) and white crappies (25–26-cm classes). Growth may have been too slow and conditional natural mortality was probably too great for the regulation to sustain near preregulation yield or for conspicuous improvements in age and size structure. Delaware Reservoir also was predominated by black crappies, which may recruit to the fishery later than white crappies of the same age. In addition, recruitment to harvestable sizes was lower than expected at Delaware Reservoir after the 254-mm length limit was imposed, and the impact of catch-and-release fishing was suspect. After the 6-year trial and evaluation, the 254-mm length limit was reduced to 229 mm to allow anglers consumptive use of crappies that may have become unavailable rather than more abundant under the 254-mm length limit.
Article
In 1985 harvest regulations on crappies Pomoxis spp. were changed from no limits to a 254-mm minimum-length and a 25-fish daily bag limit at three Texas reservoirs. The objective was to increase the proportion and relative abundance of large crappies and thereby increase harvest rate, yield, and mean weight of harvested fish. Changes in the stock structure and harvest of white crappies P. annularis were monitored after the limits were imposed. The proportion of stock-size (≥127 mm) white crappies that were of preferred size (≥254 mm) (RSD-P) increased significantly at Lake Palestine and Lake Meredith (where growth overfishing had occurred), and remained at acceptable levels at Lake Whitney (where growth overfishing did not occur). Mean weight of harvested white crappies increased at one of the two sites where RSD-P increased. Total yield (kg/ hectare) increased at all three reservoirs. Few anglers harvested 25 white crappies/d either before or after the limits were imposed. Results indicate minimum-length limits can alleviate growth overfishing. Where growth overfishing is not occurring, length limits can maintain yield in spite of increased pressure. In addition, a minimum-length limit may moderate or eliminate the variability or cyclicity inherent in crappie fisheries. By preventing harvest of small crappies, which are attractive to anglers only when abundance of larger fish is low, minimum-length limits may help maintain a more stable supply of preferred-size crappies.
Article
Populations of white crappies Pomoxis annularis were studied at five Missouri reservoirs to evaluate the effects of minimum-size regulations and reduced daily limits. Models of equilibrium yield per recruit indicated that regulations that reduced or eliminated the harvest of age-1 and age-2 fish resulted in harvest of fewer fish but increased yield to the fishery. Peak yield occurred when white crappies were first harvested at age 3. After restrictive regulations were imposed, a significantly greater proportion of the harvest shifted to age-3 and older fish at Pomme de Terre (15-daily limit), Wappapello (10-daily limit), Stockton (10-in size limit), and the James River Arm of Table Rock (10-in size limit), but not at Lake of the Ozarks (15-daily limit). Although mean lengths of harvested white crappies were highly variable, they increased more in reservoirs with minimum-size limits. The greatest increase was in the James River Arm, where the mean length increased from about 7 to 11 in after imposition of the size limit. Even though the harvest shifted to older white crappies at Wappapello, mean lengths of harvested fish did not increase, because growth was slower during years of the 10-daily limit. Most anglers complied with restrictive regulations; the estimated harvest of sublegal fish was always less than 10% of the legal harvest at reservoirs with minimum-size limits, and less than 1% of the anglers kept more than the daily limits at all reservoirs. White crappie populations at Missouri's large reservoirs can benefit from restrictive regulations if the populations contain few age-4 and older fish and have satisfactory growth.