Journal of Mammalogy, 88(2):427–435, 2007 AGE-SPECIFIC FERTILITY AND FECUNDITY IN NORTHERN FREE-RANGING WHITE-TAILED DEER: EVIDENCE FOR REPRODUCTIVE SENESCENCE? GLENN D. DELGIUDICE,* MARK S. LENARZ, AND MICHELLE CARSTENSEN POWELL Forest Wildlife Populations and Research Group, Minnesota Department of Natural Resources, Grand Rapids, MN 55744, USA (GDD, MSL) Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55108, USA (GDD) Section of Wildlife, Minnesota Department of Natural Resources, Forest Lake, MN 55025, USA (MCP) Key words: age-specific fertility, fecundity, Odocoileus virginianus, pregnancy, reproduction, senescence, white-tailed deer Aspects of deer reproduction have received intense study, including relations of nutrition, body condition, range quality, weather conditions, and human handling to fertility, fecundity, and productivity (Barron and Harwell 1973; Cheatum and Severinghaus 1950; DelGiudice et al. 1986; McCaffery et al. 1998; Mech et al. 1987; Nelson and Mech 1990; Verme and Ullrey 1984); reproductive physiology and endocrinology (Harder 2005; Harder and Moorhead 1980; Harder and Woolfe 1976; Plotka et al. 1977, 1980; Rhodes et al. 1992); and increasingly, neonate survival and reproductive success (Carstensen Powell 2004; Heugel 1985; Kunkel and Mech 1994; Langenau and Lerg 1976; Ozoga and Verme 1986). As was true until recently for studies of deer survival, age class (i.e., fawn, yearling, and mature adult during breeding) has been the most common frame of reference for investigations of reproduction, with relatively little attention focused on senescence of adults (Eberhardt 1985; McCaffery et al. 1998; Rhodes et al. 1992). However, long-term studies of other Population performance of white-tailed deer (Odocoileus virginianus) is driven largely by survival and reproduction. Increasingly, study of various ungulates has shown that hazard functions (i.e., instantaneous probability of death) and survival over their life cycles are related to age from birth through senescence (Caughley 1966; DelGiudice et al. 2002, 2006; Eberhardt 1985; Festa-Bianchet et al. 2003; Gaillard et al. 2000; Loison et al. 1999; Siler 1979). Given that age distributions of populations vary, knowledge of age-specific reproduction would enhance our understanding of population performance and dynamics relative to intrinsic factors, regulatory mechanisms, and their interaction with extrinsic factors. * Correspondent: glenn.delgiudice@dnr.state.mn.us Ó 2007 American Society of Mammalogists www.mammalogy.org 427 Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 Population performance of white-tailed deer (Odocoileus virginianus) is driven largely by survival and reproduction. Knowledge of age-specific reproduction would enhance our understanding of population performance and dynamics relative to intrinsic factors, regulatory mechanisms, and their interaction with extrinsic factors. From 1991 to 2002, we examined serum progesterone as an indicator of pregnancy in freeranging white-tailed deer (0.5–15.5 years old), age-specific fertility and fecundity, and the potential effect of reproductive senescence on population change. We did not detect relationships between serum progesterone concentrations and Julian date, age, or body mass at capture in 41 confirmed-pregnant, adult (1.0-year-old) does. Serum progesterone concentrations of 284 females ranging in age from 0.5 to 15.5 years were distributed bimodally with a narrow peak at 0.0–0.4 ng/ml (composed of samples from 46 of 50 fawns) and a broad peak centered at about 3.6 ng/ml. Only 1 (1.8%) of 55 fawns was pregnant, whereas pregnancy rates were 96.6% (112 of 116) for 2.5–7.5 year olds and 98.5% (64 of 65) for 8.5–15.5 year olds. Among adults, the lowest pregnancy rates occurred in yearlings (87.5%), not in the oldest does. Mean estimated fecundity was 1.3 fetuses per doe in yearlings and was 1.8 fetuses per doe in 2.5–15.5 year olds. We observed no evidence of senescence relative to fertility and fecundity in adult female white-tailed deer up to 15.5 years old. Because older does comprise a relatively small proportion of the population, fecundity rates of these females have little impact on population change (k); however, their ultimate value to the population may be in their life-long reproductive success and associated genetic contribution. 428 JOURNAL OF MAMMALOGY MATERIALS AND METHODS Study area.— We conducted our winter capture of deer 0.5 years old on a 791-km2 area, described elsewhere (DelGiudice 1998; DelGiudice et al. 2002), and located along the southeastern boundary of Chippewa National Forest in north-central Minnesota (468529N–478159N and 938459W–948079W). Inclusion of spring–summer–autumn ranges, where captures of neonates occurred, expanded the study area to 1,865 km2 (468499N–478159N and 938359W–948209W—Carstensen Powell et al. 2005). The uplands were dominated by deciduous and mixed deciduous–coniferous stands, whereas conifers were prevalent on the lowlands (Doenier et al. 1997). Mean weekly snow depth varied from 0 to 88 cm, and monthly mean minimum temperatures ranged from 288C to 78C during the January–March trapping periods, 1991–2002 (DelGiudice et al. 2005). During June–October 1991–2002, the range of monthly mean maximum temperatures was 6–288C (National Oceanic and Atmospheric Administration 1991–2002). Deer capture, handling, and monitoring.— We captured deer primarily by Clover traps (Clover 1956) during January–March 1991–2002, but augmented these efforts with captures by rocket-net (2%) and net-gun (3%—DelGiudice et al. 2005). Details of handling are reported elsewhere (DelGiudice et al. 2005), but generally, we physically restrained, blindfolded, and chemically immobilized female deer with 75–100 mg of xylazine HCl (Xyla-ject; Phoenix Scientific, St. Joseph, Missouri) and 300–400 mg of ketamine HCl (Keta-ject; Phoenix Scientific) during 1st captures. We administered chemical boosters as needed to maintain immobilizations. We collected blood samples by venipuncture of the jugular vein into a 5-ml ethylenediaminetetraacetic acid vial and into two or three 10-ml serum tubes. Deer were routinely catheterized for urine, weighed to the nearest 0.5 kg, ear-tagged, and physically examined; rectal temperature was monitored (DelGiudice et al. 2001); morphological measurements were made; a 4th incisor was extracted for age determination by cementum annuli (Gilbert 1966); and a very high frequency (Telonics, Mesa, Arizona) or global positioning system (Advanced Telemetry Systems, Isanti, Minnesota) radiocollar was fitted. Commonly, pregnancy was determined by dop-tone ultrasound (Pocket-Dop II; Imex Medical Systems, Golden, Colorado). Certain techniques were employed during handling less consistently over the full study period as required by shortterm companion studies (e.g., fitting of vaginal implant transmitters—Carstensen et al. 2003; Carstensen Powell 2004). Before release, each deer was injected intramuscularly with 1,500,000 international units of a broad-spectrum antibiotic (Dual-Cillin; Phoenix Scientific). We reversed anesthesia with an intravenous injection of 15 mg of yohimbine (Sigmal Chemical Co., St. Louis, Missouri—Mech et al. 1985). We chemically immobilized and handled female deer during recaptures only when 14 days had elapsed since their most recent previous capture, chemical immobilization, and handling. Male deer were either physically restrained or only lightly immobilized with xylazine and ketamine, ear-tagged, reversed with yohimbine, and released. Animal capture and handling protocols were approved by the University of Minnesota’s Institutional Animal Care and Use Committee and meet the guidelines recommended by the American Society of Mammalogists (Animal Care and Use Committee 1998). During springs 1997 and 1999–2002, 41 known-pregnant (confirmed by dop-tone ultrasound), adult (1.5 years old) radiocollared does, with serum progesterone concentration measured during the previous winter, were monitored during the fawning season so that we could capture, radiocollar, and release their neonates for study of their movements and survival (Carstensen et al. 2003; Carstensen Powell 2004; Carstensen Powell et al. 2005). Twins rather than singletons were most common in does 2.5 years old entering winter (M. S. Lenarz, Minnesota Department of Natural Resources [MNDNR], in litt.); however, when only 1 neonate of a dam was captured in spring, it was typically not known with certainty whether a twin existed. Determination of pregnancy.— Serum progesterone concentrations of the adult males and known-pregnant does of this study, and previously published serum progesterone concentrations for pregnant and nonpregnant deer (Abler et al. 1976; G. D. DelGiudice, MNDNR, in litt.; Gaillard et al. 1992; Harder 2005; Wood et al. 1986), were used to establish a threshold concentration indicative of pregnancy (1.6 ng/ml). Serum tubes from all deer were allowed to clot for ,12 h, were centrifuged, and serum was decanted and stored frozen until assayed. Serum progesterone concentrations were determined by solid phase 125I radioimmunoassay (Coat-A-Coat procedure; Diagnostic Products Corporation, Los Angeles, California) in our laboratory in Grand Rapids, Minnesota. Data analysis.— To expand our understanding of serum progesterone as an indicator of pregnancy, we explored Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 ungulates, including red deer (Cervus elaphus), moose (Alces alces), bighorn sheep (Ovis canadensis), and roe deer (Capreolus capreolus) have begun to illuminate the value of understanding ‘‘life-history trade-offs’’ relative specifically to how age of females (including senescence) interacts with phenotypic quality (e.g., body mass and condition) during the reproductive process (Bérubé et al. 1999; Borg 1970; Guinness et al. 1978a; Heard et al. 1997; Hewison and Gaillard 2001). What has followed is an enhanced understanding of how agespecific reproduction may affect population performance. Very little is known about reproductive senescence in whitetailed deer. According to Verme and Ullrey (1984), maximum productivity occurs in does 3–7 years old, then declines in older does, but little specific explanation is offered as to how this decrease in productivity is manifested during the reproductive cycle. Nelson and Mech (1990) reported no difference in productivity in free-ranging female deer 10 years old (up to 17 years old) compared to younger does. Our longterm (1991–2002) primary objectives were to examine serum progesterone as an indicator of pregnancy in free-ranging, female white-tailed deer (0.5–15.5 years old) and potential influences (e.g., time, age, and body mass) on concentrations; age-specific fertility and fecundity; and the potential effect of reproductive senescence on population change. Vol. 88, No. 2 April 2007 DELGIUDICE ET AL.—FERTILITY IN WHITE-TAILED DEER potential influences of Julian date (January–March), age, and body mass at capture (independent variables) on progesterone concentrations of pregnant deer by multivariable regression analysis (Proc GLM—SAS Institute Inc. 1996). Before fitting regression models, we ascertained by diagnostics that multicollinearity among independent variables was not a significant problem (Proc Reg—SAS Institute Inc. 1996). To assess the influence of age-specific reproduction on population change, we constructed a postbreeding census matrix model (Caswell 2001; Leslie 1945) by combining iterative Nelson estimates (INE) of survival (pi—DelGiudice et al. 2002, 2006) with estimates of fecundity (mi) based on road-killed pregnant does (1972–1981) in northern Minnesota (M. S. Lenarz, MNDNR, in litt.) and estimates of pregnancy rates from the study cohort. The basic form of the Leslie matrix model is: where Nt is a vector of length 16 giving the number of female deer 0 years of age (i.e., neonates), and deer aged 1–15, just after the birth-pulse in year t. The matrix A is a population projection matrix with age-specific values for fecundity f(1,i) in the top row and survival probabilities p(iþ1,i) in the offdiagonals. We used the birth-pulse form of the model in which reproduction occurs following survival (Caswell 2001); hence fi ¼ mipi. The value mi represents the expected number of female fawns produced by a doe in the ith age class. Values for pi represent the probability that an individual in age class i at time t will survive to enter age class i þ 1 at t þ 1. The model assumes that population dynamics are deterministic (i.e., survival and fecundity rates are constant) and projects population change as the finite rate of increase (k) given by the dominant eigenvalue of the matrix (Caswell 2001). As such, the model provides a means to determine sensitivity of k to changes in fecundity and survival schedules. The age structure at k is a ‘‘stable age distribution’’ (i.e., the proportion in each age class is constant) and is a function of the survival and fecundity schedules (Caswell 2001). PopTools software (version 2.6.2, G. M. Hood, 2004, http://www.cse. csiro.au/poptools) was used for all calculations and does not require an age structure Nt in its projection of k. Survival probabilities and fecundity are measured on different scales; survival cannot exceed 1, whereas fecundity is not limited. For this reason, elasticity analysis (Caswell 2001) was used to determine model response to proportional rather than absolute (sensitivity analysis) perturbations. Using this analysis it is possible to determine the contribution of each element in the matrix to k. Finally, we conducted a sensitivity analysis relative to our serum progesterone threshold. We reduced the progesterone concentration indicative of pregnancy from 1.6 to 0.8 ng/ml, which results in a net increase in the proportion of pregnant females. We then recalculated the matrix model and examined the effect of this change on k. RESULTS Known pregnancies.— Mean serum progesterone concentration was 4.0 ng/ml, but varied widely (range ¼ 1.6–6.6 ng/ml; Fig. 1) for 41 known-pregnant, adult does monitored during springs 1997, 1999, and 2000–2002 for fawn capture. Concentrations for all but 2 deer were .2.0 ng/ml. Mean age at winter capture was 5.6 years (range ¼ 1.5–14.5 years, n ¼ 39); 74.4% of these were 7.5 years old. We did not detect a relationship of serum progesterone concentration to Julian date, age, or body mass at capture (P 0.209). At least 6 (60%) of 10 dams 10.0 years old gave birth to twins, resulting in a minimum productivity of 1.6 fawns per pregnant doe (16:10). Minimum fawn productivity of all knownpregnant does was 1.4 fawns per pregnant doe. Total female capture and pregnancy rate.— We captured, aged, and collected blood from 284 female deer ranging from 0.5 to 15.5 years old (77% 7.5 years old; Fig. 2). Serum progesterone concentrations were distributed bimodally with a pronounced narrow peak at 0.0–0.4 ng/ml, comprised almost exclusively of fawns (46 of 50 fawn values), and a broad peak centered at about 3.6 ng/ml (Fig. 1). There was little difference ¼ 0.3, in mean serum progesterone concentrations of fawns (X 95% confidence limits [CL] ¼ 0.2, 0.4 ng/ml), adult females ¼ 0.7, 95% CL ¼ 0.4, 1.1 ng/ml), assessed as nonpregnant (X and adult males (X ¼ 0.3, 95% CL ¼ 0.2, 0.4 ng/ml—G. D. DelGiudice, MNDNR, in litt.) as opposed to values observed ¼ 4.0, 95% CL ¼ 3.6, 4.4 in the known-pregnant adults (X ng/ml). Again, we detected no relationships between serum progesterone concentrations of pregnant females and Julian date, age, or body mass at capture (P 0.215). Less than 2% (1 of 55) of fawns, but 87.5% (42 of 48) of yearlings were pregnant. Pregnancy rates were 90.5–95.7% in 2.5, 3.5, 6.5, and 10.5 year olds; however, notably lower sample sizes than for yearlings likely contributed to the modest variation observed in these age classes (see Fig. 2). Pregnancy rates were 100% in all remaining yearly age classes, where again samples were smaller than for fawns and yearlings, particularly for the 8.5–15.5-year olds (Fig. 2). Overall, pregnancy rates were 96.6% (112 of 116) and 98.5% (64 of 65) in 2.5–7.5 year olds and 8.5–15.5 year olds, respectively. Lowering the threshold serum progesterone concentration to 0.8 ng/ml increased the pregnancy rates of yearlings from 87.5% to 91.7%, but pregnancy rates of all annual age classes 2.5 years old, except 6.5 year olds (unchanged at 95.0%), increased to 100%. Using fetuses per pregnant doe from a 10-year survey of road-killed deer (M. S. Lenarz, MNDNR, in litt.), and agespecific pregnancy rates of our study cohort, mean estimated fecundity in our study cohort ranged from 1.3 in yearlings to 2.2 in 10.5 year olds (Fig. 3). Mean estimated fecundity in does 2.5–15.5 years old was 1.8 fetuses per doe (range ¼ 1.5–2.2 fetuses per doe), with twins being most common at all ages and triplets being relatively rare (Fig. 3). Consequently, we found no evidence of reproductive senescence related to pregnancy or fecundity in the free-ranging, female, white-tailed deer in this study. Lowering the progesterone threshold of pregnancy to 0.8 ng/ml had only a very modest increasing effect on estimated fecundity of yearlings and 2.5, 3.5, and 10.5 year olds (1.4, 2.1, 1.7, and 2.1 fetuses per doe, respectively, compared to original estimated fecundities given in Fig. 3). Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 Nt ¼ A Nt1 ; 429 430 Vol. 88, No. 2 JOURNAL OF MAMMALOGY There was no difference in body mass between pregnant ¼ 64.7, 95% CL ¼ 63.6, 65.8 kg, n ¼ 141) and nonpreg(X ¼ 60.9, 95% CL ¼ 54.0, 67.9 kg, n ¼ 5) females nant (X 2.5 years old; however, body mass tended to be greater in ¼ 66.4, 95% CL ¼ 64.7, 68.2 kg, does 8.5–15.5 years old (X ¼ 63.5, 95% CL ¼ n ¼ 54) compared to 2.5–7.5 year olds (X 62.2, 64.9 kg, n ¼ 92). Body mass was lower in nonpreg ¼ 48.4, 95% nant yearlings than in pregnant yearlings (X ¼ 55.1, 95% CL ¼ 52.7, CL ¼ 45.1, 51.7 kg, n ¼ 6 versus X 57.4, n ¼ 30). Our Leslie matrix model analysis indicated that the high pregnancy and fecundity rates of the older does in our study cohort would have little impact on k. At stable age distribution, females aged 8–15 years represented only 5.8% of all does in the age structure. The sum of the elasticity values for f8 to f15 (fecundity values for does in this study aged 8–15 years) was only 0.022, which is ,4% of the elasticity value for adult survival (p1 to p15, survival values of does in this study aged 1–15 years). In fact, the sum of the elasticity values for p0 to p7 (survival of neonates to 7 years old) was 0.76 (on a scale of 0 to 1). This implies that in general, k is much more sensitive to perturbations in survival probability of younger does than it is to fecundity. When we reduced the progesterone threshold indicative of pregnancy by 50%, it increased pregnancy rates primarily in the younger age classes. Pregnancy increased in only 1 age class for does 8–15 years old. In response to this change, k increased 1.3%. DISCUSSION Pregnancy has been accurately determined in white-tailed deer, roe deer, elk (Cervus elaphus), bighorn sheep, and domestic ungulates using threshold progesterone concentra- Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 FIG. 1.—Serum progesterone concentrations of A) 41 free-ranging, confirmed (by dop-tone ultrasound and neonate capture)-pregnant, adult (1.5 years old) white-tailed deer; and B) the entire study cohort (n ¼ 284) of free-ranging, female white-tailed deer (0.5–15.5 years old) livecaptured during January–March 1991–2002, in north-central Minnesota. April 2007 DELGIUDICE ET AL.—FERTILITY IN WHITE-TAILED DEER FIG. 2.—Age distribution of 284 free-ranging, female white-tailed deer (0.5–15.5 years old) live-captured during January–March 1991– 2002, in north-central Minnesota. other northern cervids where the seasonal variation of nutrition is most dramatic. Pregnancy rates have ranged up to 74% in more southerly, agriculturally dominated areas where growing seasons are longer and crops of greater nutrient quality are more available (Cheatum and Severinghaus 1950; Friedrich and Hill 1982; Haugen 1975; Ingebrigtsen 1988; McCaffery et al. 1998; Morton and Cheatum 1946; Severinghaus 1946; Verme and Ullrey 1984). Among the adults, yearlings, not old does, had the lowest pregnancy rate (87.5%) and the lowest fecundity (1.31 fetuses per doe); proportionately, twins were notably less common than for adults 2.5 years old, and no triplets were observed in yearlings. The pregnancy rate in yearlings in this study was very similar to that of yearling white-tailed deer (85%) in the central forests of Wisconsin, yet the associated fecundity of the latter (1.09 fetuses per doe) was notably lower (McCaffery ¼ 1.82 fetuses per et al. 1998). Interestingly, the fecundity (X doe) of adults in this study 2.5 years old at breeding was similar to that of the same age cohort in forests in central Wisconsin (1.78 fetuses per doe—McCaffery et al. 1998). Nutrition has its strongest influence on the fertility and fecundity of white-tailed yearlings (Verme and Ulllrey 1984), and a body mass threshold has been reported for primiparity in a number of other ungulates (Gaillard et al. 1992; Hamilton and Blaxter 1980; Langbein and Putnam 1992; Saether and Haagenrud 1983), which is consistent with the lower winter body masses we observed in nonpregnant compared to pregnant yearlings. It is most noteworthy that evidence from our long-term study indicates an absence of reproductive senescence relative to fertility and fecundity for deer up to 15.5 years old. Rather, the pregnancy rate was 100% at winter capture for 8.5–15.5 year olds (n ¼ 65), except for the 10.5 year olds (92.3%). ¼ 1.84, 95% Further, estimated fecundity remained high (X CL ¼ 1.66, 1.98 fetuses per doe) for these older deer (Fig. 3). The survival senescence of this female study cohort was more apparent than reproductive senescence (DelGiudice et al. 2006), which is consistent with reports for other ungulate species (Bérubé et al. 1999; Eberhardt 1985; Gaillard et al. 1998, 2000; Hewison and Gaillard 2001). However, in a review, Verme and Ullrey (1984) suggested that white-tailed does were reproductively prime between 3 and 7 years old, with fecundity gradually decreasing thereafter, but no data were presented. In a long-term telemetry study in northeastern Minnesota, Nelson and Mech (1990) reported no difference in the number of fawns accompanying old (10 years old) does in November compared to younger females. In elk in Yellowstone National Park aged 4–14 and .14 years, pregnancy rates were 91% and 50%, respectively; however, the probability of pregnancy was most directly related to body condition not age (Cook et al. 2004). A study of moose in British Columbia led to similar conclusions (Heard et al. 1997). Yet, in monestrous roe deer in Great Britain, senescence in fecundity via implantation failure occurred in does .7 years old (Hewison and Gaillard 2001), with similar results being reported for roe deer in Sweden (Borg 1970). In France, Gaillard et al. (2003) reported pregnancy rates of 95.6%, Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 tions in blood (Gaillard et al. 1992; Ramsey and Sadlier 1979; Robertson and Sarda 1971; Weber and Wolfe 1982; Wood et al. 1986). With fertilization, the corpus luteum becomes the primary source of serum progesterone, the concentration of which peaks within the first 2 weeks of pregnancy (Harder 2005; Plotka et al. 1977; Verme and Ullrey 1984). The bimodal distribution of serum progesterone concentrations of our study cohort (284 deer) was remarkably similar to that reported by Gaillard et al. (1992) for 410 pregnant and nonpregnant female roe deer. In the latter study, pregnancy was determined with 98.5% accuracy using progesterone concentrations of 1.1 ng/ml as indicative of pregnancy. Our pregnancy threshold value for serum progesterone (1.6 ng/ml) was closer to that reported by Wood et al. (1986—1.8 ng/ml) for white-tailed deer; pregnancy was detected with 97.0% accuracy in that study. Further, mean serum progesterone concentrations of the known-pregnant, free-ranging does in this study (95% CL ¼ 3.6, 4.4 ng/ml) and of females of the complete study cohort assessed as pregnant (95% CL ¼ 3.6, 4.0 ng/ml) were consistent with the .2 ng/ml of Abler et al. (1976) for white-tailed deer and close to the ultrasound-verified, mean 3.3 ng/ml 6 0.23 SE of pregnant roe deer (Gaillard et al. 1992). Conversely, serum progesterone values of females assessed as nonpregnant were well below 1 ng/ml, as reported elsewhere (Abler et al. 1976; Gaillard et al. 1992; Harder 2005) and ¼ 0.3, 95% CL ¼ similar to those of males in our study area (X 0.2, 0.4 ng/ml—G. D. DelGiudice, MNDNR, in litt.). The absence of a relationship of age, Julian date (January–March) during gestation, or body mass with serum progesterone concentrations supports its use as a relatively simple indicator of pregnancy. The relative stability of elevated serum progesterone during gestation has been reported for captive pregnant white-tailed deer (Plotka et al. 1977), elk (Weber and Wolfe 1982), and a variety of domestic ungulates (Irving et al. 1972; Short 1958). The nearly complete absence of pregnancy in the fawns of our study cohort was consistent with what has been noted for white-tailed deer in northern forests elsewhere (Cheatum and Severinghaus 1950; Friedrich and Hill 1982; McCaffery et al. 1998), European roe deer (Borg 1970; Gaillard et al. 1992; Hewison and Gaillard 2001), moose (Heard et al. 1997), and 431 432 JOURNAL OF MAMMALOGY Vol. 88, No. 2 Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 FIG. 3.—A) Estimated age-specific fecundity (fetuses per doe) of free-ranging, adult white-tailed deer (1.5–15.5 years old, n ¼ 229) livecaptured during January–March 1991–2002, in north-central Minnesota; and B) the frequency of singletons, twins, and triplets in pregnant, roadkilled white-tailed deer (1.5–15.5 years old; n ¼ 735), 1972–1981, in northern Minnesota. 91.1%, and 41.7% for prime-aged, primiparous, and .12-year old roe deer does, respectively, as well as smaller litter sizes among the older class. Rhodes et al. (1992) observed higher implantation failure in primiparous white-tailed does (yearlings) compared to prime-age does, but did not explore a potential senescent effect. Although reproductive senescence relative to reduced fertility or fecundity was not apparent in our study cohort that ranged up to 15.5 years old, 5–6 years after the onset of survival senescence (DelGiudice et al. 2006), reduced body size of neonates and low early survival may very well have been the initial manifestation of this life history phenomenon. ¼ 2.3 kg 6 We observed lower mean estimated birth-mass (X 0.2 SE versus 3.0 6 0.1 kg), hind-leg length, and girth in neonates that died within versus beyond 1 week postpartum, ¼ 8.6 years old 6 1.5 SE) of these nonsurvivors and dams (X tended to be older than dams of the survivors (6.3 6 0.5 years old—Carstensen Powell 2004). Verme and Ullrey (1984) presented similar mean natal masses of 2.3 and 3.2 kg, associated with 70% and 10% neonate mortality, after harsh and mild winters, respectively. Similar observations of offspring size and increased summer mortality have been associated with old (11 years old) and young (3–6 years old) red deer hinds compared to prime-age hinds (Guinness et al. 1978a, 1978b). In bighorn sheep, there was a positive association between adult body mass, longevity, and reproductive success (Bérubé et al. 1999). Interestingly, reproductive senescence was observed in only the long-lived ewes with decreases in lamb April 2007 DELGIUDICE ET AL.—FERTILITY IN WHITE-TAILED DEER ACKNOWLEDGMENTS Our study was supported by the MNDNR, Division of Fisheries and Wildlife, with supplemental funding provided by the Minnesota Environmental and Natural Resources Trust Fund, as recommended by the Legislative Commission on Minnesota Resources; Minnesota Deer Hunters Association; and the Special Projects Foundation of the Minneapolis Big Game Club. D. E. Pierce of the MNDNR, the Cass County Land Department, the United States Forest Service, Potlatch Corporation, and the Blandin Paper Company provided valuable cooperation and logistical support. We gratefully acknowledge B. A. Sampson and D. W. Kuehn for technical assistance in numerous aspects of the study. R. Nelles, R. Schloesser, and more than 120 field biology interns provided invaluable assistance with animal capture, care, and handling. Finally, we thank J. Olson (deceased) and the crew of Helicopter Capture Services, Inc., for their expert performance in net-gunning deer. We appreciate J. M. Gaillard’s review of an early draft of the manuscript and his helpful comments. We thank J. Fieberg for statistical consultation. LITERATURE CITED ABLER, W. A., D. E. BUCKLAND, R. L. KIRKPATRICK, AND P. F. SCANLON. 1976. Plasma progestins and puberty in fawns as influenced by energy and protein. Journal of Wildlife Management 40:442–446. ANIMAL CARE AND USE COMMITTEE. 1998. Guidelines for the capture, handling, and care of mammals as approved by the American Society of Mammalogists. Journal of Mammalogy 79:1416–1431. BARRON, J. C., AND W. F. HARWELL. 1973. Fertilization rates of south Texas deer. Journal of Wildlife Management 37:179–182. BÉRUBÉ, C. H., M. FESTA-BIANCHET, AND J. T. JORGENSON. 1999. Individual differences, longevity, and reproductive senescence in bighorn ewes. Ecology 80:2555–2565. BORG, K. 1970. On mortality and reproduction of roe deer in Sweden during the period 1948–1969. Viltrevy 7:119–149. CARSTENSEN, M., G. D. DELGIUDICE, AND B. A. SAMPSON. 2003. Using doe behavior and vaginal implant transmitters to capture neonate white-tailed deer in north-central Minnesota. Wildlife Society Bulletin 31:634–641. CARSTENSEN POWELL, M. 2004. Winter severity, deer nutrition and fawning characteristics. Ph.D. dissertation, University of Minnesota, St. Paul. CARSTENSEN POWELL, M., G. D. DELGIUDICE, AND B. A. SAMPSON. 2005. Low risk of marking-induced abandonment in free-ranging white-tailed deer neonates. Wildlife Society Bulletin 33:643–655. CASWELL, H. 2001. Matrix population models: construction, analysis and interpretation. 2nd ed. Sinauer Associates, Inc., Publishers, Sunderland, Massachusetts. CAUGHLEY, G. 1966. Mortality patterns in mammals. Ecology 47: 906–972. CHEATUM, E. L., AND SEVERINGHAUS. 1950. Variations in fertility of white-tailed deer related to range conditions. Transactions of the North American Wildlife Conference 15:170–190. CLOVER, M. R. 1956. Single-gate deer trap. California Fish and Game 42:199–201. CLUTTON-BROCK, T. H. 1988. Reproductive success: studies of individual variation in contrasting breeding systems. University of Chicago Press, Chicago, Illinois. COOK, R. C., J. C. COOK, AND L. D. MECH. 2004. Nutritional condition of northern Yellowstone elk. Journal of Mammalogy 85:714–722. DELGIUDICE, G. D. 1998. Surplus killing of white-tailed deer by wolves in northcentral Minnesota. Journal of Mammalogy 79:227–235. DELGIUDICE, G. D. 2006. Assessing the relationship of conifer thermal cover to winter distribution, movements, and survival of female white-tailed deer in north central Minnesota. Pp. 69–85 in Summaries of wildife research findings, 2005 (P. J. Wingate, R. O. Kimmel, J. S. Lawrence, and M. S. Lenarz, eds.). Minnesota Department of Natural Resources, St. Paul. Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 production beginning at about 6–7 years after the onset of survival senescence and following a modest decrease in body mass, which occurred at about 11 years old. These long-lived ewes were consistently the heaviest and most reproductively successful during the prime ages of 2–7 years and over their entire lifetimes (Bérubé et al. 1999). We observed no decline in body mass in does 8.5 years old compared to the 2.5–7.5 year olds; rather, the consistently high pregnancy rates and estimated fecundities were associated with body masses that tended to be slightly heavier. Examination of our collective data suggests that low survival of neonates of older (8 years old) does is an initial indicator of reproductive senescence in white-tailed deer. As suggested by Eberhardt (1985), the senescent component of survival and reproductive curves can be difficult to study because of the infrequency of these older animals, particularly in populations that are impacted by relatively heavy, regular hunter harvests. In the vicinity of our study area, the annual hunting pressure on does varies dramatically (DelGiudice 2006; DelGiudice et al. 2002). That variability and the longterm (12 years) nature of our study allowed us to capture and monitor the reproduction of a somewhat atypical large sample of older does. Although 15.5-year-old does were our oldest at capture, 9 radiocollared does survived to 15.5 years old (up to 17.5 years old). However, because we do not have subsequent reproductive data for them after their original capture and handling, we cannot make inferences about their reproductive status beyond 15.5 years old. Indeed, transversal data do not allow the monitoring of individual heterogeneity relative to reproductive output (fertility and fecundity) over time as is possible with longitudinal data. However, because nearly all of the randomly sampled deer in this study were pregnant over the 12-year study period and litter sizes vary little (i.e., rarely exceed 2) in these northern forests (M. S. Lenarz, MNDNR, in litt.), the masking of reproductive senescence relative to litter size or fecundity in our data set is unlikely. Clearly, at some point beyond 15.5 years old, reproductive senescence will become expressed by reductions in fertility and fecundity. To better understand the potential effects of age of dams on neonate survival, additional study is required. As shown by our postbreeding census matrix modeling, the short-term effect of reproduction of old does relative to population change (i.e., k) was rather negligible. However, longevity can be an important predictor of life-long reproductive success in large mammals (Clutton-Brock 1988; Le Boeuf and Reiter 1988). As suggested by Bérubé et al. (1999), a significant value of these long-lived, reproductive individuals may be their notable potential to contribute to the variation of phenotypic qualities upon which natural selection acts through inheritance of associated genetic factors. 433 434 JOURNAL OF MAMMALOGY HARDER, J. D. 2005. Reproduction and hormones. Pp. 591–615 in Techniques for wildlife investigations and management (C. E. Braun, ed.). Wildlife Society, Bethesda, Maryland. HARDER, J. D., AND D. L. MOORHEAD. 1980. Development of corpora lutea and plasma progesterone levels associated with the onset of the breeding season in white-tailed deer (Odocoileus virginianus). Biology of Reproduction 22:185–191. HARDER, J. D., AND A. WOOLF. 1976. Changes in plasma levels of oestrone and oestradiol during pregnancy and parturition in whitetailed deer. Journal of Reproductive Fertility 47:161–163. HAUGEN, A. O. 1975. Reproductive performance of white-tailed deer in Iowa. Journal of Mammalogy 56:151–159. HEARD, D., S. BARRY, G. WATTS, AND K. CHILD. 1997. Fertility of female moose (Alces alces) in relation to age and body composition. Alces 33:165–176. HEUGEL, C. N. 1985. Predator-avoidance behaviors that favor fawn survival in white-tailed deer in south-central Iowa. Ph.D. dissertation, Iowa State University, Ames. HEWISON, A. J. M., AND J. M. GAILLARD. 2001. Phenotypic quality and senescence affect different components of reproductive output in roe deer. Journal of Animal Ecology 70:600–608. INGEBRIGTSEN, D. 1988. Farmland deer productivity. Minnesota Department of Natural Resources, Intra-Department Memorandum, pp 1–7. IRVING, G., D. E. JONES, AND A. KNIFTON. 1972. Progesterone concentration in the peripheral plasma of pregnant goats. Journal of Endocrinology 53:447–452. KUNKEL, K. E., AND L. D. MECH. 1994. Wolf and bear predation on white-tailed deer fawns in northeastern Minnesota. Canadian Journal of Zoology 72:1557–1565. LANGBEIN, J., AND R. J. PUTMAN. 1992. Reproductive success of female fallow deer in relation to age and condition. Pp. 293–299 in The biology of feer (R. D. Brown, ed.). Springer-Verlag, New York. LANGENAU, E. E., AND J. M. LERG. 1976. The effects of winter nutritional stress on maternal and neonatal behavior in penned white-tailed deer. Applied Animal Ethology 2:207–223. LE BOEUF, B. J., AND J. REITER. 1988. Lifetime reproductive success in northern elephant seals. Pp. 344–361 in Reproductive success: studies of individual variation in contrasting breeding systems (T. H. Clutton-Brock, ed.). University of Chicago Press, Chicago, Illinois. LESLIE, P. H. 1945. On the use of matrices in certain population mathematics. Biometrika 33:183–212. LOISON, A., M. FESTA-BIANCHET, J. M. GAILLARD, J. T. JORGENSON, AND J. M. JULLIEN. 1999. Age-specific survival in five populations of ungulates: evidence of senescence. Ecology 80:2539–2554. MCCAFFERY, K. R., J. E. ASHBRENNER, AND R. E. ROLLEY. 1998. Deer reproduction in Wisconsin. Transactions of the Wisconsin Academy of Sciences, Arts, and Letters 86:249–261. MECH, L. D., G. D. DELGIUDICE, P. D. KARNS, AND U. S. SEAL. 1985. Yohimbine hydrochloride as an antagonist to xylazine hydrochloride–ketamine hydrochloride immobilization of white-tailed deer. Journal of Wildlife Diseases 21:404–410. MECH, L. D., R. E. MCROBERTS, R. O. PETERSON, AND R. E. PAGE. 1987. Relationship of deer and moose populations to previous winters’ snow. Journal of Animal Ecology 56:615–627. MORTON, G. H., AND E. L. CHEATUM. 1946. Regional differences in breeding potential of white-tailed deer in New York. Journal of Wildlife Management 10:242–248. NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION. 1991–2002. Climatological data—Minnesota. National Climatic Data Center, Asheville, North Carolina. Vols. 96–107. Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 DELGIUDICE, G. D., J. FIEBERG, M. R. RIGGS, M. CARSTENSEN POWELL, AND W. PAN. 2006. A long-term age-specific survival analysis of female white-tailed deer. Journal of Wildlife Management 70:1556– 1568. DELGIUDICE, G. D., B. A. MANGIPANE, B. A. SAMPSON, AND C. O. KOCHANNY. 2001. Chemical immobilization, body temperature, and post-release mortality of white-tailed deer captured by Clover trap and net-gun. Wildlife Society Bulletin 29:1147–1157. DELGIUDICE, G. D., L. D. MECH, W. J. PAUL, AND P. D. KARNS. 1986. Effects on fawn survival of multiple immobilizations of captive pregnant white-tailed deer. Journal of Wildlife Diseases 22:245– 248. DELGIUDICE, G. D., M. R. RIGGS, P. JOLY, AND W. PAN. 2002. Winter severity, survival, and cause-specific mortality of female whitetailed deer in north-central Minnesota. Journal of Wildlife Management 66:698–717. DELGIUDICE, G. D., B. A. SAMPSON, D. W. KUEHN, M. CARSTENSEN POWELL, AND J. FIEBERG. 2005. Understanding margin of safe capture, chemical immobilization, and handling of free-ranging white-tailed deer. Wildlife Society Bulletin 33:677–687. DOENIER, P. B., G. D. DELGIUDICE, AND M. R. RIGGS. 1997. Effects of winter supplemental feeding on browse consumption by whitetailed deer. Wildlife Society Bulletin 25:235–243. EBERHARDT, L. L. 1985. Assessing the dynamics of wild populations. Journal of Wildlife Management 49:997–1012. FESTA-BIANCHET, M., J. M. GAILLARD, AND S. CÔTE. 2003. Variable age structure and apparent density dependence in survival of adult ungulates. Journal of Animal Ecology 72:640–649. FRIEDRICH, P. D., AND H. R. HILL. 1982. Doe productivity and physical condition: 1982 spring survey results. Michigan Department of Natural Resources, Report 2926:1–12. GAILLARD, J. M., ET AL. 2003. Effects of hurricane Lothar on the population dynamics of European roe deer. Journal of Wildlife Management 67:767–773. GAILLARD, J. M., M. FESTA-BIANCHET, N. G. YOCCOZ, A. LOISON, AND C. TOIGO. 2000. Temporal variation in fitness components and population dynamics of large herbivores. Annual Review of Ecology and Systematics 31:367–393. GAILLARD, J. M., O. LEBERG, R. ANDERSEN, A. J. M. HEWISON, AND G. CEDERLUND. 1998. Population dynamics of roe deer. Pp. 309–335 in The European rod deer: the biology of success (R. Andersen, P. Duncan, and J. D. C. Linnell, eds.). Scandinavian University Press, Oslo, Norway. GAILLARD, J. M., A. J. S. SEMPÉRÉ, J. M. BOUTIN, G. VAN LAERE, AND B. BOISAUBERT. 1992. Effects of age and body weight on the proportion of females breeding in a population of roe deer (Capreolus capreolus). Canadian Journal of Zoology 70:1541– 1545. GILBERT, F. F. 1966. Aging white-tailed deer by annuli in the cementum of the first incisor. Journal of Wildlife Management 30:200–202. GUINNESS, F. E., S. D. ALBON, AND T. H. CLUTTON-BROCK. 1978a. Factors affecting reproduction in red deer (Cervus elaphus). Journal of Reproduction and Fertility 54:325–334. GUINNESS, F. E., T. H. CLUTTON-BROCK, AND S. D. ALBON. 1978b. Factors affecting calf mortality in red deer (Cervus elaphus). Journal of Animal Ecology 47:817–832. HAMILTON, W. J., AND K. L. BLAXTER. 1980. Reproduction in farmed red deer. I. Hind and stag fertility. Journal of Agricultural Science 95:261–273. Vol. 88, No. 2 April 2007 DELGIUDICE ET AL.—FERTILITY IN WHITE-TAILED DEER SEVERINGHAUS, C. W. 1946. Comparison of the weight of Adirondack and Southern Tier deer. United States Department of Interior Pittman-Robertson Quarterly Report (attachment), New York Project 28-R. SHORT, R. V. 1958. Progesterone in blood. II. Progesterone in the peripheral blood of pregnant cows. Journal of Endocrinology 16:426–428. SILER, W. 1979. A competing-risk model for animal mortality. Ecology 60:750–757. VERME, L. J., AND D. E. ULLREY. 1984. Physiology and nutrition. Pp. 91–118 in White-tailed deer: ecology and management (L. K. Halls, ed.). Wildlife Management Institute, Stackpole Books, Harrisburg, Pennsylvania. WEBER, B. J., AND M. L. WOLFE. 1982. Use of serum progesterone levels to detect pregnancy in elk. Journal of Wildlife Management 46:835–838. WOOD, A. K., R. E. SHORT, A. DARLING, G. L. DUSEK, R. G. SASSER, AND C. A. RUDER. 1986. Serum assays for detecting pregnancy in mule and white-tailed deer. Journal of Wildlife Management 50:684–687. Submitted 31 May 2006. Accepted 22 August 2006. Associate Editor was Floyd W. Weckerly. Downloaded from http://jmammal.oxfordjournals.org/ by guest on March 4, 2016 NELSON, M. E., AND L. D. MECH. 1990. Weights, productivity, and mortality of old white-tailed deer. Journal of Mammalogy 71:689–691. OZOGA, J. J., AND L. J. VERME. 1986. Relation of maternal age to fawnrearing success in white-tailed deer. Journal of Wildlife Management 50:480–486. PLOTKA, E. D., U. S. SEAL, G. C. SCHMOLLER, P. D. KARNS, AND K. D. KEENLYNE. 1977. Reproductive steroids in the white-tailed deer (Odocoileus virginianus borealis). I. Seasonal changes in the female. Biology of Reproduction 16:340–343. PLOTKA, E. D., U. S. SEAL, L. J. VERME, AND J. J. OZOGA. 1980. Reproductive steroids in deer. III. Luteinizing hormone, estradiol and progesterone around estrus. Biology of Reproduction 22:576–581. RAMSAY, M. A., AND R. M. F. S. SADLIER. 1979. Detection of pregnancy in living bighorn sheep by progestin determination. Journal of Wildlife Management 43:970–973. RHODES, O. E., JR., M. H. SMITH, AND R. K. CHESSER. 1992. Prenatal reproductive losses in white-tailed deer. Pp. 390–397 in The biology of deer (R. D. Brown, ed.). Springer-Verlag, New York. ROBERTSON, H. A., AND I. R. SARDA. 1971. A very early pregnancy test for mammals: its application to the cow, ewe and sow. Journal of Endocrinology 49:407–419. SAETHER, B. E., AND H. HAAGENRUD. 1983. Life history of the moose (Alces alces): fecundity rates in relation to age and carcass weight. Journal of Mammalogy 64:226–232. SAS INSTITUTE INC. 1996. SAS/STAT software: changes and enhancements through release 6.11. SAS Institiute Inc., Cary, North Carolina. 435