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                  <text>The research in this publication was partially or fully funded by Colorado Parks and Wildlife.

Dan Prenzlow, Director, Colorado Parks and Wildlife • Parks and Wildlife Commission: Marvin McDaniel, Chair • Carrie Besnette Hauser, Vice-Chair
Marie Haskett, Secretary • Taishya Adams • Betsy Blecha • Charles Garcia • Dallas May • Duke Phillips, IV • Luke B. Schafer • James Jay Tutchton • Eden Vardy

�Wildlife Society Bulletin; DOI: 10.1002/wsb.450

Original Article

Effects of Male-Biased Harvest on Mule Deer:
Implications for Rates of Pregnancy,
Synchrony, and Timing of Parturition
ERIC D. FREEMAN,1 Department of Plant and Wildlife Sciences, Brigham Young University, 275 WIDB, Provo, UT 84602, USA
RANDY T. LARSEN, Department of Plant and Wildlife Sciences, The Monte L. Bean Life Science Museum, Brigham Young University,
275 WIDB, Provo, UT 84602, USA
MARK E. PETERSON, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, 1474 Campus Delivery,
Fort Collins, CO 80523, USA
CHARLES R. ANDERSON JR., Colorado Parks and Wildlife, 711 Independent Avenue, Grand Junction, CO 81505, USA
KENT R. HERSEY, Utah Division of Wildlife Resources, 1594 W North Temple, Salt Lake City, UT 84114, USA
BROCK R. MCMILLAN, Department of Plant and Wildlife Sciences, Brigham Young University, 275 WIDB, Provo, UT 84602, USA

ABSTRACT Evaluating how management practices influence the population dynamics of ungulates may
enhance future management of these species. For example, in mule deer (Odocoileus hemionus), changes in
male/female ratio due to male-biased harvest may alter rates of pregnancy, timing of parturition, and
synchrony of parturition if inadequate numbers of males are present to fertilize females during their first
estrous cycle. If rates of pregnancy or parturition are influenced by decreased male/female ratios, recruitment
may be reduced (e.g., fewer births, later parturition resulting in lower survival of fawns, and a less synchronous
parturition that potentially increases susceptibility of neonates to predation). Our objectives were to compare
rates of pregnancy, synchrony of parturition, and timing of parturition between exploited mule deer
populations with a relatively high (Piceance, CO, USA; 26 males/100 females) and a relatively low (Monroe,
UT, USA; 14 males/100 females) male/female ratio. We determined rates of pregnancy via ultrasonography
and timing of parturition via vaginal implant transmitters. We found no differences in rates of pregnancy
(98.6% and 96.6%; z ¼ �0.821; P ¼ 0.794), timing of parturition (estimate ¼ 1.258; SE ¼ 1.672; t ¼ 0.752;
P ¼ 0.454), or synchrony of parturition (F ¼ 1.073 P ¼ 0.859) between Monroe Mountain and Piceance
Basin, respectively. The relatively low male/female ratio on Monroe Mountain was not associated with
a protracted period of parturition. This finding suggests that relatively low male/female ratios typical of
heavily harvested populations do not influence population dynamics because recruitment remains unaffected.
Ó 2014 The Wildlife Society.
KEY WORDS male/female ratio, mule deer, Odocoileus hemionus, rates of pregnancy, sex ratio, synchrony, timing of
parturition, ungulate management.

The exploitation of ungulates potentially alters characteristics of populations such as sex ratio, age structure,
population size, and genetic variation (Langvatn and
Loison 1999, Strickland et al. 2001, Patterson and
Power 2002, Festa-Bianchet 2003, Allendorf et al. 2008).
For example, limiting male harvest of Colorado, USA, mule
deer (Odocoileus hemionus) populations on a statewide basis
resulted in increased adult male/female ratios, indicating that
a greater proportion of adult males (relative to younger age
classes) had previously been harvested (Bishop et al. 2005,
Bergman et al. 2011). In a population of Norwegian moose
(Alces alces), 70% of males were harvested before 3 years of age
(Solberg et al. 2002). Both examples indicated that a portion
of the population was preferentially harvested, resulting in a

Received: 2 July 2013; Accepted: 24 February 2014
1

E-mail: edfreeman1@gmail.com

Freeman et al.

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Male: Female Deer Ratio and Synchrony of Parturition

sex–age structure that was skewed when compared with
unharvested populations. Similarly, males with large horns or
antlers are preferentially harvested from many populations,
potentially removing genetic variation coding for these traits
(Coltman et al. 2003, Allendorf et al. 2008, Monteith
et al. 2013). Because harvest of most ungulate populations is
male-biased, sex ratios are often skewed toward females
(Ginsberg and Milner-Gulland 1994). This common
scenario is typified for mule deer in Utah, USA, where
estimated male/female ratios range from 6 to 28 males/100
females across most management units (except a few with
relatively limited harvest where male/female ratios are as
high as 60:100), signifying a major shift from a sex ratio at
birth, which is close to 50:50 (Bernales et al. 2011).
Changes in male/female ratio have the potential to impact
population dynamics (Milner et al. 2006). For example,
increasing the proportion of females in a population
generally increases the reproductive capacity of that
population as long as there are adequate numbers of males
1

�for breeding (Caughley 1977). In contrast, an increase in the
proportion of adult males may lower recruitment into the
population because males can use resources that would
otherwise be available to females and young. An increase of
4.5 males/100 females coincided with a decrease of 7.5
fawns/100 females in a population of Colorado mule deer
(Bishop et al. 2005). In extreme scenarios, when sex ratios
become highly skewed toward females, reduced access to
mates can result in an increased proportion of females
that either do not become pregnant or are bred during
their second estrous cycle. Conceptually, this phenomenon
is referred to as mate limitation under the Allee effect,
wherein the low density of one sex results in fewer
encounters with receptive mates (Courchamp et al. 1999).
Therefore, heavily female-biased sex ratios can lead to fewer
fawns and a less synchronous parturition period (White
et al. 2001).
The synchrony and seasonality of parturition in ungulates
developed under various evolutionary pressures that impact
neonate survival (Sadleir 1969, Ims 1990). Variance in
survival resulting from timing and/or synchrony of parturition may result from weather and food availability
(seasonality in climate) or predation on newborns
(Rutberg 1987, Mysterud et al. 2002). For example, timing
of parturition for populations in temperate regions typically
corresponds with increased resource availability to allow for
sufficient growth of juveniles before the onset of harsh
weather or nutritional shortage (Bunnell 1980, CluttonBrock et al. 1982). Therefore, an extended birthing season
may subject late-born neonates to environmental or
nutritional conditions that are less than optimal. Supporting
this assertion, individuals born later in the season often have
lower survival (Clutton-Brock et al. 1987) or delayed
development of body mass (Holand et al. 2003, Saether
et al. 2003), causing reduced survival and lower population
sizes.
Similarly, in species where predation is a major cause of
mortality among neonates (e.g., mule deer), greater
synchrony of parturition often results in increased survival
of neonates (Sinclair et al. 2000). Although there are several
ways in which synchrony of parturition can impact juvenile
survival, a predator swamping effect is the best documented
consequence that synchrony has on juvenile ungulates
(Rutberg 1987). For example, wildebeest (Connochaetes
taurinu) neonates born at the peak of the parturition period
are more likely to survive than those born earlier or later
(Estes 1976). Neonates are highly vulnerable for only a short
time after birth and if parturition is condensed, vulnerable
neonates are only available to predators for a limited time
(Whittaker and Lindzey 1999, Testa 2002). However, if
parturition is drawn-out, susceptible neonates are available
for a longer time period, resulting in increased predatorrelated mortality. Therefore, changes in rates of pregnancy
and timing/synchrony of parturition, potentially caused by an
altered sex ratio, may influence neonate survival, and
population growth (White et al. 2001).
Populations of mule deer are extensively exploited and have
fluctuated over the past several decades with a decreasing
2

trend across much of western North America. Proposed
mechanisms for declines include predation, severe weather,
vehicle collisions, and habitat destruction (Ballard et al.
2001). Whereas research examining these causes of mule
deer decline has increased in recent years, evaluations of
the impacts of harvest or management strategies used to
mitigate these and other factors affecting mule deer
populations remain relatively rare (Festa-Bianchet 2003).
Therefore, evaluating mechanisms whereby specific management strategies (e.g., increasing herd production, average
age, etc.) may influence population growth can improve the
effectiveness of management actions.
Our objective was to determine the influence of relatively
low male/female ratios on rates of pregnancy, timing of
parturition, and synchrony of parturition. Specifically, we
evaluated these metrics in 2 populations with differing sex
ratios. If the hunting-induced alteration of male/female ratios
reduces access to mating partners enough to reduce the
percentage of females that are bred during their first estrus
cycle, then we would expect that pregnancy rates would be
lower, dates of parturition would be later, and variance among
dates of parturition would be greater in the population with a
lower male/female ratio. If rates of pregnancy decrease,
timing of parturition is altered, or synchrony of parturition is
decreased in a population with lower male/female ratios, we
will conclude that managing populations for increased
production has unintended, indirect impacts that negatively
influence population dynamics.

STUDY AREA
We selected 2 study areas to enable a comparison between
mule deer populations. Monroe Mountain was located in
south-central Utah (398100 –398460 N latitude) and was
managed by the Utah Division of Wildlife Resources as
general season unit 23. During December 2011 the Monroe
Unit had one of the lowest male/female ratios in the state of
Utah—14 males/100 females. The Piceance Basin was
located in western Colorado and was managed by Colorado
Parks and Wildlife as game management unit 22 (GMU 22;
398480 –408080 N latitude), which was within data analysis
unit 7 (DAU 7). The sex ratio estimate for this area of
Colorado was 26 males/100 females in December of 2011.
Although these are not extreme sex ratios, these populations
were representative of the low and high end of the general
spectrum found in exploited populations. These estimates of
male/female ratios were obtained from samples taken on the
winter range found in our study areas. Biologists with
extensive experience classifying these specific populations
(&gt;5 yr for 2 observers in both study areas) conducted
helicopter or ground surveys during the mule deer rut (late
Nov–early Jan) and classified all individuals that they
encountered as fawns, females, or males. Classifications
are done during this time because males and females are
together and sightability is likely most similar for the 2 sexes
(Stent 2011). In Utah, 1,468 individuals were classified and
the estimated population size was 6,800 (21.6%). In
Colorado DAU 7, 7,894 individuals were classified from
an estimated population size of 45,000–50,000 individuals
Wildlife Society Bulletin

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9999

�(approx. 16.6%). Population size was not estimated for
GMU 22 (a segment of DAU 7), but 534 individuals were
classified within GMU 22 boundaries. Land ownership in
both study areas was divided between federal agencies
(Forest Service and Bureau of Land Management), state
lands, and private land-holdings. Vegetation types were
similar for both study sites and included areas dominated by
sagebrush (Artemisia tridentata), serviceberry (Amelanchier
alnifolia), mountain mahogany (Cercocarpus ledifolius), pinion
pine (Pinus edulis), juniper (Juniperus osteosperma), Gamble
oak (Quercus gambelii), aspen (Populus tremuloides), and
several conifer species (e.g., ponderosa pine [Pinus ponderosa], Douglas-fir [Pseudotsuga menziesii]).

METHODS
In March 2012, we captured female mule deer (via helicopter
net-gunning; Barrett et al. 1982, Krausman et al. 1985,
White and Bartmann 1994) at both study areas (Fig. 1). At
each study area, captures were conducted at 4 separate
regions of winter-range to ensure our samples were dispersed
and comparable. For each female captured, we determined
pregnancy via trans-abdominal ultrasonography (E.I. Medical Imaging, Loveland, CO; Smith and Lindzey 1982). We
fitted pregnant females with very high frequency radiocollars
(Telonics, Mesa, AZ; and Advanced Telemetry Systems,
Inc., Isanti, MN) and vaginal implant transmitters (VIT;
Advanced Telemetry Systems, Inc.). We inserted VITs,
using a vaginoscope, until the antennae protruded �2 cm
from the female’s vagina. We also assessed body size (hind
foot length, chest and neck girth), condition (body condition
score method; Cook et al. 2007, 2010), and age (estimation
based on tooth wear and eruption pattern; Severinghaus
1949, Robinette et al. 1957) of each captured individual prior
to release.
Between the original capture and parturition, we located
collared females using radiotelemetry. During March and
April, individuals were located sporadically from the ground
or a fixed-wing aircraft. In early May, we attempted to locate
every female twice per week. Beginning the last week of May,
we located each female at least every other day, continuing
until every VIT had been expelled.

When an expelled VIT was detected (pulse rate was
doubled; 80 pulses/min), we located the VIT, determined
whether it was expelled at a birth site, and recorded a date of
parturition for that individual. Because some VITs are
expelled prior to parturition (Bishop et al. 2011), we included
only those parturition dates where VIT expulsion was
corroborated by additional evidence (i.e., birth site identification and observation of neonates or females). We identified
birth sites using a suite of characteristics indicative of
parturition (e.g., matted down vegetation, blood, and the
remains of afterbirth; Bishop et al. 2011). We also attempted
to locate the parturient female, observed her behavior and
body condition, and determined whether she was still
pregnant. As part of a larger study, we captured and collared
fawns associated with VITs that had been expelled. This
corroborative evidence allowed us to confirm what day a fawn
was born (based on hoof growth, wet pelage, distance from
birth site, and condition of the umbilicus; Haugen and
Speake 1958, Robinette et al. 1973, Sams et al. 1996, Lomas
and Bender 2007).
We used pregnancy testing and parturition dates obtained
from females at both study sites (Monroe and Piceance) to
compare rates of pregnancy and timing and/or synchrony of
parturition. We utilized a z-test of proportions to compare
rates of pregnancy and a Levene’s test to compare within-year
variance of parturition dates between sites. Each of these
tests was performed using the 1-tailed hypothesis that mule
deer from Piceance (the area with a higher male/female ratio)
should have higher pregnancy rates and a more synchronous
parturition period. We used a general linear model to
evaluate potential differences in timing of parturition. Our
model included the population of origin, age, and body
condition of each individual as explanatory variables for the
date of parturition. This approach allowed us to account for
factors (age and condition) that potentially affect date of
parturition. Whereas we report calendar dates for ease of
interpretation, these analyses were performed using Julian
dates. Additionally, to enable a comparison to previous
documentation of mule deer parturition, we computed the
percentage of births that occurred in an 18-day period
(Bowyer 1991).

Figure 1. Map of the United States of America with an inset showing the locations of the study populations in the Intermountain West. The Monroe
Mountain, Utah location is represented as a filled circle and the Piceance Basin, Colorado location as a filled square. Dates of parturition for mule deer
(Odocoileus hemionus) were collected from each site in 2012.
Freeman et al.

�

Male: Female Deer Ratio and Synchrony of Parturition

3

�RESULTS
We captured 69 female mule deer at Monroe Mountain,
Utah and 120 female mule deer at Piceance Basin, Colorado.
Ultrasonography revealed that 68 of 69 (98.6%) of the
Monroe females and 116 of 120 (96.7%) of the Piceance
females were pregnant. These rates of pregnancy were not
different between populations (z ¼ �0.821; P ¼ 0.794).
We obtained dates of parturition for 36 females in the
Monroe population and 58 females in the Piceance population.
This reduced sample was the result of mortality, extended
migration, collar failure, difficulty locating some expelled VITs
in a timely manner, and uncertainty concerning whether some
VITs were expelled at parturition (making parturition
estimates for these individuals unsuitable or unreliable; criteria
for this determination are described in Methods Section).
Dates of parturition in the Monroe population occurred
between 1 June and 30 June (�x ¼ 13 Jun, SE ¼ 1.00 days) and
in the Piceance population between 31 May and 12 July
(�x ¼ 10 Jun, SE ¼ 1.02 days). Both distributions demonstrated a slight positive skew (Fig. 2). We found no difference in
timing of parturition between the 2 populations (estimate
¼ 1.258, SE ¼ 1.672, t ¼ 0.752, P ¼ 0.454; Fig. 2).
Variance (a measure or surrogate for parturition synchrony)
was 37.0 (SD ¼ 6.1 days) in the Monroe population and 60.2
(SD ¼ 7.8 days) in the Piceance population. Using a Levene’s
test, we found no difference in the variance among dates of
parturition between the 2 populations (F ¼ 1.073 P ¼ 0.859;
Fig. 2). Likewise, 91.6% of the births that we detected in the
Monroe population and 89.8% of the births that we detected
in the Piceance population occurred in an 18-day period.

DISCUSSION
Rates of pregnancy did not differ between populations with
relatively high and low male/female ratios. This finding

Figure 2. Proportion of births by mule deer (Odocoileus hemionus) that
occurred during each 3-day period of the 2012 parturition season. Grey bars
illustrate parturition from a population with 14 males:100 females
(SD ¼ 6.1; Monroe, UT, USA) and black bars illustrate parturition from
a population with 26 males:100 females (SD ¼ 7.8; Piceance Basin, CO,
USA). Mean dates of parturition are represented as solid and dashed lines,
respectively.
4

indicates that mate limitation under the Allee effect (which
implies that reproduction is decreased because the density of
individuals of the opposite sex is not high enough) is not
occurring at the male/female ratios that we sampled and most
adult females in both populations had mating opportunities.
We performed ultrasounds in early March; therefore, it is
also possible that a higher percentage of females (than we
documented) were originally impregnated (Robinette
et al. 1955). The rates of pregnancy in both populations
are well within, or greater than, the range of variation that
has been previously documented for mule deer. Examples
include 93% pregnancy in each of 2 Colorado populations
(Andelt et al. 2004, Bishop et al. 2009) and 94% in a Utah
population (Robinette et al. 1955). Additionally, the high
fertilization rates that we observed are consistent with reports
from other harvested populations of ungulates (Mysterud
et al. 2002). Whereas rates of pregnancy are pertinent and
important, females being bred during their second estrous
cycle would still have been classified as pregnant. If this
occurred with greater frequency in the population with a
lower male/female ratio, parturition would likely be later in
the year and less synchronized.
Timing of parturition has evolved to maximize fitness
(Sadleir 1969). The peak of the birthing season should be
early enough in the year to allow juveniles to build sufficient
fat stores for the coming winter (limiting the impact of
abiotic conditions) and concurrent with the period of greatest
resource availability so as to support lactating females
(Millar 1977, Robinette et al. 1977, Rutberg 1987). Low
male/female ratios may elongate or delay the birthing season
if a decreased proportion of females are fertilized during their
first estrous cycle, potentially reducing the survival of lateborn fawns (Clutton-Brock et al. 1987). We found no
difference in mean timing of parturition between populations
with a relatively high and low male/female ratio, suggesting
conception for the majority of deer in the first estrous cycle,
regardless of male/female ratio. Both of the mean dates of
parturition that we observed fell within the range of reported
variation (early Jun–late Jul; gestation averages 203 days) for
populations in the western United States (Robinette
et al. 1977, Bowyer 1991, Lomas and Bender 2007, Long
et al. 2009). In contrast to our analyses of free-ranging
populations, a statistically significant difference existed
between mean dates of parturition (4–5 days earlier with
higher male/female ratio) in a comparison of captive caribou
(Rangifer tarandus) populations (Holand et al. 2003). Although a variety of factors influence date of parturition, we
have either accounted for these factors (age and condition) or
there are not large differences between the 2 populations
(latitude, climate, vegetation type, etc.; McGinnes and
Downing 1977, Rachlow and Bowyer 1998).
Synchrony of parturition was not influenced by male/
female ratio (as demonstrated by the lack of difference in the
variance of parturition dates between populations). This lack
of difference indicates that most females were bred during
their first estrous cycle, resulting in a highly synchronized
period of parturition. If most females were not bred during
their first estrous cycle we would expect to see multiple
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�distinct peaks in our dates of parturition data. Similar to our
findings, 80% of births in a California, USA, mule deer
population and 95% of captures of mule deer neonates in a
different Colorado population occurred in an 18-day period
(Bowyer 1991, Pojar and Bowden 2004). Additionally,
standard deviations for periods of parturition that have
been previously published include 7.4 days in California
(Bowyer 1991), 7.3 in Oregon, USA (Long et al. 2009), and
6.9 days in Washington, USA (Steigers and Flinders 1980),
which are comparable to our results. Observations of a
captive caribou population resulted in similar conclusions—
no difference in synchrony of parturition between higher and
lower male/female ratios (Holand et al. 2003). The lack of
difference in synchrony of parturition that we observed
indicates that relatively low male/female ratios likely do not
reduce population growth through increased predation
resulting from an elongated time-period when susceptible
neonates are available (Estes 1976, Rutberg 1987).
We recognize that there are other means by which male
harvest or skewed male/female ratios may influence
populations. For example, genetic diversity may decrease as
a large proportion of males or males with specific traits are
harvested (Coltman et al. 2003). Additionally, when the
proportion of males is decreased, younger individuals may
participate more actively in the rut. The relatively few
remaining males may then invest more energy to fertilize all
available females (Saether et al. 2003). These changes have
the potential to result in increased energy expenditure and
decreased body mass for males in a population (Solberg and
Saether 1994).
Examinations of the mechanisms by which low male/
female ratios are theorized to decrease fawn/female ratios
are lacking. Our data provide empirical evidence that
was previously unavailable, suggesting that there is not a
correlation between observed male/female ratios and rates of
pregnancy or timing and/or synchrony of parturition in mule
deer populations. We recognize that additional years and
populations (with a greater range of male/female ratios)
would strengthen our analysis, but these data are costly to
collect and unavailable. The advent of VITs has improved
our ability to accurately identify dates of parturition, allowing
for comparisons that were previously unavailable or
anecdotal. Our data support previous assertions that
relatively low male/female ratios are not affecting recruitment in mule deer populations. For example, lower male/
female ratios were not correlated with decreased fawn/female
ratios during the winter after birth, indicating that low male/
female ratios were not negatively affecting fawn survival
(Bishop et al. 2005, Bergman et al. 2011). Although data that
describe synchrony of parturition are available for many
species (including mule deer), no comparative data exist
between free-ranging populations with differing sex ratios.

MANAGEMENT IMPLICATIONS
There was no difference in rates of pregnancy or synchrony of
parturition between populations with different male/female
ratios. The relatively low male/female ratios typical of heavily
harvested populations do not appear to influence population
Freeman et al.

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Male: Female Deer Ratio and Synchrony of Parturition

dynamics via rates of pregnancy or synchrony of parturition.
Whereas some populations have male/female ratios as high
as 60:100, the range of variation that we tested (14–26 males/
100 females) is representative of many, if not most, harvested
populations. Increasing male/female ratios above 14 males/
100 females should not be used as a management strategy for
increasing rates of pregnancy or for modifying the timing
and/or synchrony of parturition.

ACKNOWLEDGMENTS
We recognize the contributions of V. Mumford and D.
Finley, district biologists who provided male/female ratios
for our study populations; and L. Wolfe, C. Bishop, and J.
Ross, who assisted with ultrasound and insertion of VITs.
Additionally, locating birth sites in a timely manner would
not have been possible without the contributions of many
volunteers and field technicians. We acknowledge C.
Shaffer, C. Hunt, L. Gepfert, and L. Coulter, pilots who
flew fixed-wing aircraft equipped with telemetry and
Quicksilver Air, Inc. and Leading Edge Aviation for mule
deer capture efforts. Project funding was provided by Exxon
Mobil, XTO Energy, Williams Production RMT, Shell
Petroleum, EnCana Corporation, Federal Aid in Wildlife
Restoration, Marathon Oil, Colorado Mule Deer Association, Mule Deer Foundation, and Sportsmen for Fish and
Wildlife. We thank M. Hewison and 2 anonymous reviewers
for their comments on a previous draft of this manuscript.

LITERATURE CITED
Allendorf, F. W., P. R. England, G. Luikart, P. A. Ritchie, and N. Ryman.
2008. Genetic effects of harvest on wild animal populations. Trends in
Ecology &amp; Evolution 23:327–337.
Andelt, W. F., T. M. Pojar, and L. W. Johnson. 2004. Long-term trends in
mule deer pregnancy and fetal rates in Colorado. Journal of Wildlife
Management 68:542–549.
Ballard, W. B., D. Lutz, T. W. Keegan, L. H. Carpenter, and J. C. deVos
Jr. 2001. Deer–predator relationships: a review of recent North American
studies with emphasis on mule and black-tailed deer. Wildlife Society
Bulletin 29:99–115.
Barrett, M. W., J. Nolan, and L. D. Roy. 1982. Evaluation of a hand-held
net-gun to capture large mammals. Wildlife Society Bulletin 10:108–114.
Bergman, E. J., B. E. Watkins, C. J. Bishop, P. M. Lukacs, and M. Lloyd.
2011. Biological and socio-economic effects of statewide limitation of deer
licenses in Colorado. Journal of Wildlife Management 75:1443–1452.
Bernales, H. H., K. R. Hersey, and A. Aoude. 2011. Utah big game annual
report. Division of Wildlife Resources Publication, Number 12-27, Salt
Lake City, USA.
Bishop, C. J., C. R. Anderson, Jr., D. P. Walsh, E. J. Bergman, P. Kuechle,
and J. Roth. 2011. Effectiveness of a redesigned vaginal implant
transmitter in mule deer. Journal of Wildlife Management 75:1797–1806.
Bishop, C. J., G. C. White, D. J. Freddy, and B. E. Watkins. 2005. Effect of
limited antlered harvest on mule deer sex and age ratios. Wildlife Society
Bulletin 33:662–668.
Bishop, C. J., G. C. White, D. J. Freddy, B. E. Watkins, and T. R.
Stephenson. 2009. Effect of enhanced nutrition on mule deer population
rate of change. Wildlife Monographs 172.
Bowyer, R. T. 1991. Timing of parturition and lactation in southern mule
deer. Journal of Mammalogy 72:138–145.
Bunnell, F. L. 1980. Factors controlling lambing period of Dall’s sheep.
Canadian Journal of Zoology 58:1027–1031.
Caughley, G. 1977. Analysis of vertebrate populations. Wiley, New York,
New York, USA.
Clutton-Brock, T. H., F. E. Guinness, and S. D. Albon. 1982. Red deer:
behavior and ecology of two sexes. University of Chicago Press, Chicago,
Illinois, USA.
5

�Clutton-Brock, T. H., M. Major, S. Albon, and F. Guinness. 1987. Early
development and population dynamics in red deer. I. Density-dependent
effects on juvenile survival. Journal of Animal Ecology 56:53–67.
Coltman, D. W., P. O’Donoghue, J. T. Jorgenson, J. T. Hogg, C. Strobeck,
and M. Festa-Bianchet. 2003. Undesirable evolutionary consequences of
trophy hunting. Nature 426:655–658.
Cook, R. C., J. G. Cook, T. R. Stephenson, W. L. Myers, S. M.
McCorquodale, D. J. Vales, L. L. Irwin, P. B. Hall, R. D. Spencer, and
S. L. Murphie. 2010. Revisions of rump fat and body scoring indices for
deer, elk, and moose. Journal of Wildlife Management 74:880–896.
Cook, R. C., T. R. Stephenson, W. L. Myers, J. G. Cook, and L. A. Shipley.
2007. Validating predictive models of nutritional condition for mule deer.
Journal of Wildlife Management 71:1934–1943.
Courchamp, F., T. Clutton-Brock, and B. Grenfell. 1999. Inverse density
dependence and the Allee effect. Trends in Ecology &amp; Evolution 14:
405–410.
Estes, R. D. 1976. The significance of breeding synchrony in the wildebeest.
African Journal of Ecology 14:135–152.
Festa-Bianchet, M. 2003. Exploitative wildlife management as a selective
pressure for life-history evolution of large mammals. Pages 191–207 in M.
Festa-Bianchet and M. Apollonio, editors. Animal behavior and wildlife
conservation. Island Press, Washington, D.C., USA.
Ginsberg, J. R., and E. Milner-Gulland. 1994. Sex biased harvesting and
population dynamics in ungulates: implications for conservation and
sustainable use. Conservation Biology 8:157–166.
Haugen, A. O., and D. W. Speake. 1958. Determining age of young fawn
white-tailed deer. Journal of Wildlife Management 22:319–321.
Holand, O., K. H. Roed, A. Mysterud, J. Kumpula, M. Nieminen, and
M. E. Smith. 2003. The effect of sex ratio and male age structure on
reindeer calving. Journal of Wildlife Management 67:25–33.
Ims, R. A. 1990. On the adaptive value of reproductive synchrony as a
predator-swamping strategy. American Naturalist 136:485–498.
Krausman, P. R., J. J. Hervert, and L. L. Ordway. 1985. Capturing deer and
mountain sheep with a net-gun. Wildlife Society Bulletin 13:71–73.
Langvatn, R., and A. Loison. 1999. Consequences of harvesting on age
structure, sex ratio and population dynamics of red deer Cervus elaphus in
central Norway. Wildlife Biology 5:213–223.
Lomas, L. A., and L. C. Bender. 2007. Survival and cause specific mortality
of neonatal mule deer fawns, North-central New Mexico. Journal of
Wildlife Management 71:884–894.
Long, R. A., J. G. Kie, R. T. Bowyer, and M. A. Hurley. 2009. Resource
selection and movements by female mule deer Odocoileus hemionus: effects
of reproductive stage. Wildlife Biology 15:288–298.
McGinnes, B. S., and R. L. Downing. 1977. Factors affecting the peak of
white-tailed deer fawning in Virginia. Journal of Wildlife Management
41:715–719.
Millar, J. S. 1977. Adaptive features of mammalian reproduction. Evolution
31:370–386.
Milner, J. O. S. M., E. B. Nilsen, and H. P. Andreassen. 2006. Demographic
side effects of selective hunting in ungulates and carnivores. Conservation
Biology 21:36–47.
Monteith, K. L., R. A. Long, V. C. Bleich, J. R. Heffelfinger, P. R.
Krausman, and R. T. Bowyer. 2013. Effects of harvest, culture, and climate
on trends in size of horn-like structures in trophy ungulates. Wildlife
Monographs 183.
Mysterud, A., T. Coulson, and N. C. Stenseth. 2002. The role of males
in the dynamics of ungulate populations. Journal of Animal Ecology
71:907–915.
Patterson, B. R., and V. A. Power. 2002. Contributions of forage
competition, harvest, and climate fluctuation to changes in population
growth of northern white-tailed deer. Oecologia 130:62–71.

6

Pojar, T. M., and D. C. Bowden. 2004. Neonatal mule deer fawn survival in
west-central Colorado. Journal of Wildlife Management 68:550–560.
Rachlow, J. L., and R. T. Bowyer. 1998. Habitat selection by Dall’s sheep
(Ovis dalli): maternal trade-offs. Journal of Zoology 245:457–465.
Robinette, W. L., C. H. Baer, R. E. Pillmore, and C. E. Knittle. 1973.
Effects of nutritional change on captive mule deer. Journal of Wildlife
Management 37:312–326.
Robinette, W. L., J. S. Gashwiler, D. A. Jones, and H. S. Crane. 1955.
Fertility of mule deer in Utah. Journal of Wildlife Management 19:115–
136.
Robinette, W. L., N. V. Hancock, and D. A. Jones. 1977. The Oak Creek
mule deer herd in Utah. Utah State Division of Wildlife Resources 7715:1–148.
Robinette, W. L., D. A. Jones, G. Rogers, and J. S. Gashwiler. 1957. Notes
on tooth development and wear for Rocky Mountain mule deer. Journal of
Wildlife Management 21:134–153.
Rutberg, A. T. 1987. Adaptive hypotheses of birth synchrony in ruminants:
an interspecific test. American Naturalist 130:692–710.
Sadleir, R. M. 1969. The ecology of reproduction in wild and domestic
mammals. Methuen, New York, New York, USA.
Saether, B. E., E. J. Solberg, and M. Heim. 2003. Effects of altering sex ratio
structure on the demography of an isolated moose population. Journal of
Wildlife Management 67:455–466.
Sams, M. G., R. L. Lochmiller, E. C. Hellgren, W. D. Warde, and L. W.
Varner. 1996. Morphometric predictors of neonatal age for white-tailed
deer. Wildlife Society Bulletin 24:53–57.
Severinghaus, C. W. 1949. Tooth development and wear as criteria of age in
white-tailed deer. Journal of Wildlife Management 13:195–216.
Sinclair, A., S. A. R. Mduma, and P. Arcese. 2000. What determines
phenology and synchrony of ungulate breeding in Serengeti? Ecology
81:2100–2111.
Smith, R. B., and F. G. Lindzey. 1982. Use of ultrasound for detecting
pregnancy in mule deer. Journal of Wildlife Management 46:1089–1092.
Solberg, E. J., and B. E. Saether. 1994. Male traits as life-history variables:
annual variation in body mass and antler size in moose (Alces alces). Journal
of Mammalogy 75:1069–1079.
Solberg, E. J., B. E. Saether, O. Strand, and A. Loison. 2002. Dynamics of a
harvested moose population in a variable environment. Journal of Animal
Ecology 68:186–204.
Steigers, W. D. Jr., and J. T. Flinders. 1980. Mortality and movements
of mule deer fawns in Washington. Journal of Wildlife Management
44:381–388.
Stent, P. 2011. Kootenay mule deer composition surveys: winter 2010.
Report prepared for the Ministry of Natural, Resource Operations,
Cranbrook, British Columbia, USA.
Strickland, B. K., S. Demarais, L. E. Castle, J. W. Lipe, W. H. Lunceford,
H. A. Jacobson, D. Frels, and K. V. Miller. 2001. Effects of selectiveharvest strategies on white-tailed deer antler size. Wildlife Society Bulletin
29:509–520.
Testa, J. W. 2002. Does predation on neonates inherently select for earlier
births? Journal of Mammalogy 83:699–706.
White, G. C., and R. M. Bartmann. 1994. Drop nets versus helicopter net
guns for capturing mule deer fawns. Wildlife Society Bulletin 22:248–252.
White, G. C., D. J. Freddy, R. B. Gill, and J. H. Ellenberger. 2001. Effect of
adult sex ratio on mule deer and elk productivity in Colorado. Journal of
Wildlife Management 65:543–551.
Whittaker, D. G., and F. G. Lindzey. 1999. Effect of coyote predation on
early fawn survival in sympatric deer species. Wildlife Society Bulletin
27:256–262.
Associate Editor: Hewison.

Wildlife Society Bulletin

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              <text>&lt;span&gt;Evaluating how management practices influence the population dynamics of ungulates may enhance future management of these species. For example, in mule deer (&lt;/span&gt;&lt;i&gt;Odocoileus hemionus&lt;/i&gt;&lt;span&gt;), changes in male/female ratio due to male-biased harvest may alter rates of pregnancy, timing of parturition, and synchrony of parturition if inadequate numbers of males are present to fertilize females during their first estrous cycle. If rates of pregnancy or parturition are influenced by decreased male/female ratios, recruitment may be reduced (e.g., fewer births, later parturition resulting in lower survival of fawns, and a less synchronous parturition that potentially increases susceptibility of neonates to predation). Our objectives were to compare rates of pregnancy, synchrony of parturition, and timing of parturition between exploited mule deer populations with a relatively high (Piceance, CO, USA; 26 males/100 females) and a relatively low (Monroe, UT, USA; 14 males/100 females) male/female ratio. We determined rates of pregnancy via ultrasonography and timing of parturition via vaginal implant transmitters. We found no differences in rates of pregnancy (98.6% and 96.6%; &lt;/span&gt;&lt;i&gt;z&lt;/i&gt;&lt;span&gt; = −0.821; &lt;/span&gt;&lt;i&gt;P&lt;/i&gt;&lt;span&gt; = 0.794), timing of parturition (estimate = 1.258; SE = 1.672; &lt;/span&gt;&lt;i&gt;t&lt;/i&gt;&lt;span&gt; = 0.752; &lt;/span&gt;&lt;i&gt;P&lt;/i&gt;&lt;span&gt; = 0.454), or synchrony of parturition (&lt;/span&gt;&lt;i&gt;F&lt;/i&gt;&lt;span&gt; = 1.073 &lt;/span&gt;&lt;i&gt;P&lt;/i&gt;&lt;span&gt; = 0.859) between Monroe Mountain and Piceance Basin, respectively. The relatively low male/female ratio on Monroe Mountain was not associated with a protracted period of parturition. This finding suggests that relatively low male/female ratios typical of heavily harvested populations do not influence population dynamics because recruitment remains unaffected.&lt;/span&gt;</text>
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              <text>Freeman, E. D., R. T. Larsen, M. E. Peterson, C. R. Anderson Jr, K. R. Hersey, B. R. McMillan. 2014. Effects of male‐biased harvest on mule deer: implications for rates of pregnancy, synchrony, and timing of parturition. Wildlife Society Bulletin 38:806–811. &lt;a href="https://doi.org/10.1002/wsb.450" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/wsb.450&lt;/a&gt;</text>
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