Accuracies and biases of ageing white-tailed deer in semiarid environments
Aaron M. Foley
A C , John S. Lewis A , Oscar Cortez B , Mickey W. Hellickson B , David G. Hewitt A , Randy W. DeYoung A , Charles A. DeYoung A and Matthew J. Schnupp B
+ Author Affiliations
- Author Affiliations
A Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, 700 University Boulevard, MSC 218 Kingsville, Texas 78363, USA.
B King Ranch, Inc., 2205 Highway 141 West, Kingsville, TX 78363, USA.
C Corresponding author. Email: aaron.foley@tamuk.edu
Wildlife Research 49(3) 237-249 https://doi.org/10.1071/WR21050
Submitted: 9 March 2021 Accepted: 4 August 2021 Published: 23 December 2021
Journal Compilation © CSIRO 2022 Open Access CC BY-NC-ND
Abstract
Context: The ability to accurately estimate age of animals is important for both research and management. The two methods for age estimation in ungulates are tooth replacement and wear (TRW) and cementum annuli (CA). Errors in estimated TRW ages are commonly attributed to environmental conditions; however, the influence of environmental variables on tooth wear has not been quantified. Further, the performance of CA in environments with weak seasonality has not been thoroughly evaluated.
Aims: The study had the following three goals: identify environmental and morphological factors that influenced estimated ages, quantify accuracy of TRW and CA, and develop TRW ageing criteria that minimise error.
Methods: We used data from harvested (n = 5117) and free-ranging, known-age white-tailed deer (n = 134) collected in southern Texas, USA, to quantify environmental and morphological influences on estimated TRW ages, and assess biases in both methods.
Key results: We observed substantial variation in age estimates for both TRW and CA. Soil, drought and supplemental nutrition had minor effects on tooth wear, insufficient to alter age estimates by ≥1 year. Body mass and antler size influenced age estimates for TRW only for extreme outliers. Both methods were biased and tended to under-estimate ages of adult deer, especially TRW. Wear on the first molar was most correlated with the known age (r2 = 0.78) and allowed biologists to correctly place known-age deer into age classes of 2, 3–5, and ≥6 years old 72%, 73% and 68% of the time, an improvement compared with the 79%, 48% and 28% accuracy from pooled TRW.
Conclusions: We observed substantial inter- and intra-individual variation in tooth-wear patterns that became more pronounced in older deer. Individual variation had a greater influence on TRW ages than did environmental covariates, whereas CA ages appeared unaffected by environment. Although variable, age estimates were ±1 year of the true age 87% and 93% of the time for TRW and CA respectively.
Implications: Managers, ecologists and epidemiologists often incorporate ages into population models. The high inter-individual variation in estimated ages, the tendency to underestimate ages of older deer, and the ageing method need to be considered.
Keywords: ageing, cementum annuli, management, Odocoileus virginianus, Severinghaus, soils, supplemental nutrition, tooth replacement and wear, white-tailed deer.
References
Asmus, J., and Weckerly, F. W. (2011). Evaluating precision of cementum annuli analysis for aging mule deer from southern California. The Journal of Wildlife Management 75, 1194–1199.| Evaluating precision of cementum annuli analysis for aging mule deer from southern California.Crossref | GoogleScholarGoogle Scholar |
Bartoskewitz, M. L., Hewitt, D. G., Pitts, J. S., and Bryant, F. C. (2003). Supplemental feed use by free-ranging white-tailed deer in southern Texas. Wildlife Society Bulletin 31, 1218–1228.
Cook, R. L., and Hart, R. V. (1979). Ages assigned known-age Texas white-tailed deer: tooth wear versus cementum analysis. Proceedings of the Annual Conference of the Southeastern Association of Fish and Wildlife Agencies 33, 195–201.
Cooper, S. M., Sieckenius, S. S., and Silva, A. L. (2013). Dentine method: aging white-tailed deer by tooth measurements. Wildlife Society Bulletin 37, 451–457.
| Dentine method: aging white-tailed deer by tooth measurements.Crossref | GoogleScholarGoogle Scholar |
Crider, B. L., Fulbright, T. E., Hewitt, D. G., DeYoung, C. A., Grahmann, E. D., Priesmeyer, W. J., Wester, D. B., Echols, K. N., and Draeger, D. (2015). Influence of white-tailed deer population density on vegetation standing crop in a semiarid environment. The Journal of Wildlife Management 79, 413–424.
| Influence of white-tailed deer population density on vegetation standing crop in a semiarid environment.Crossref | GoogleScholarGoogle Scholar |
Darr, R. L., Williamson, K. M., Garver, L. W., Hewitt, D. G., DeYoung, C. A., Fulbright, T. E., Gann, K. R., and Draeger, D. A. (2019). Effects of enhanced nutrition on white-tailed deer foraging behavior. Wildlife Monographs 202, 27–34.
DelGiudice, G. D., Lenarz, M. S., and Powell, M. C. (2007). Age-specific fertility and fecundity in northern free-ranging white-tailed deer: evidence for reproductive senescence? Journal of Mammalogy 88, 427–435.
| Age-specific fertility and fecundity in northern free-ranging white-tailed deer: evidence for reproductive senescence?Crossref | GoogleScholarGoogle Scholar |
Demarais, S., and Strickland, B. K. (2011). Antlers. In ‘Biology and Management of White-tailed Deer’. (Ed. D. G. Hewitt.) pp. 107–145. (CRC Press: Boca Raton, FL, USA.)
DeYoung, C. A. (1988). Comparison of net-gun and drive-net capture for white-tailed deer. Wildlife Society Bulletin 16, 318–320.
DeYoung, C. A. (1989). Aging live white-tailed deer on southern ranges. The Journal of Wildlife Management 53, 519–523.
| Aging live white-tailed deer on southern ranges.Crossref | GoogleScholarGoogle Scholar |
DeYoung, C. A., Fulbright, T. E., Hewitt, D. G., Wester, D. B., and Draeger, D. A. (2019). Linking white-tailed deer density, nutrition, and vegetation in a stochastic environment. Wildlife Monographs 202, 1–63.
| Linking white-tailed deer density, nutrition, and vegetation in a stochastic environment.Crossref | GoogleScholarGoogle Scholar |
Dittmann, M. T., Kreuzer, M., Runge, U., and Clauss, M. (2017). Ingestive mastication in horses resembles rumination but not ingestive mastication in cattle and camels. Ecological and Integrative Physiology 327, 98–109.
| Ingestive mastication in horses resembles rumination but not ingestive mastication in cattle and camels.Crossref | GoogleScholarGoogle Scholar | 29356397PubMed |
Erickson, J. A., Anderson, A. E., Medin, D. E., and Bowden, D. C. (1970). Estimating ages of mule deer: an evaluation of technique accuracy. The Journal of Wildlife Management 34, 523–531.
| Estimating ages of mule deer: an evaluation of technique accuracy.Crossref | GoogleScholarGoogle Scholar |
Foley, A. M., Hewitt, D. G., DeYoung, C. A., DeYoung, R. W., and Schnupp, M. J. (2016). Modeled impacts of chronic wasting disease on white-tailed deer in a semi-arid environment. PLoS One 11, e0163592.
| Modeled impacts of chronic wasting disease on white-tailed deer in a semi-arid environment.Crossref | GoogleScholarGoogle Scholar | 27711208PubMed |
Foley, A. M., Hewitt, D. G., DeYoung, R. W., Schnupp, M. J., Hellickson, M. W., and Lockwood, M. A. (2018). Reproductive effort and success of males in scramble-competition polygyny: evidence for trade-offs between foraging and mate search. Journal of Animal Ecology 87, 1600–1614.
| Reproductive effort and success of males in scramble-competition polygyny: evidence for trade-offs between foraging and mate search.Crossref | GoogleScholarGoogle Scholar |
Folks, D. J., Gann, K., Fulbright, T. E., Hewitt, D. G., DeYoung, C. A., Wester, D. B., Echols, K. N., and Draeger, D. A. (2014). Drought but not population density influences dietary niche breadth in white-tailed deer in a semiarid environment. Ecosphere 5, 1–15.
| Drought but not population density influences dietary niche breadth in white-tailed deer in a semiarid environment.Crossref | GoogleScholarGoogle Scholar |
Gaillard, J.-M., Festa-Bianchet, M., and Yoccoz, N. G. (1998). Population dynamics of large herbivores: variable recruitment with constant adult survival. Trends in Ecology & Evolution 13, 58–63.
| Population dynamics of large herbivores: variable recruitment with constant adult survival.Crossref | GoogleScholarGoogle Scholar |
Gee, K. L., Holman, J. H., Causey, K., Rossi, A. N., and Armstrong, J. B. (2002). Aging white-tailed deer by tooth replacement and wear: a critical evaluation of a time-honored technique. Wildlife Society Bulletin 30, 387–393.
Gee, K. L., Webb, S. L., and Holman, J. H. (2014). Accuracy and implications of visually estimating age of male white-tailed deer using physical characteristics from photographs. Wildlife Society Bulletin 38, 96–102.
| Accuracy and implications of visually estimating age of male white-tailed deer using physical characteristics from photographs.Crossref | GoogleScholarGoogle Scholar |
Gilbert, F. F. (1966). Aging white-tailed deer by annuli in the cementum of the first incisor. The Journal of Wildlife Management 30, 200–202.
| Aging white-tailed deer by annuli in the cementum of the first incisor.Crossref | GoogleScholarGoogle Scholar |
Gilbert, F. F., and Stolt, S. L. (1970). Variability in aging Maine white-tailed deer by tooth-wear characteristics. The Journal of Wildlife Management 34, 532–535.
| Variability in aging Maine white-tailed deer by tooth-wear characteristics.Crossref | GoogleScholarGoogle Scholar |
Hall, G. P., Murray, P. J., Byrne, M. J., and Lisle, A. T. (2012). Is tooth wear a reliable means of aging wild European fallow deer in Tasmania, Australia? Wildlife Society Bulletin 36, 124–129.
| Is tooth wear a reliable means of aging wild European fallow deer in Tasmania, Australia?Crossref | GoogleScholarGoogle Scholar |
Hamlin, K. L., Pac, D. F., Sime, C. A., DeSimone, R. M., and Dusek, G. L. (2000). Evaluating the accuracy of ages obtained by two methods for Montana ungulates. The Journal of Wildlife Management 64, 441–449.
| Evaluating the accuracy of ages obtained by two methods for Montana ungulates.Crossref | GoogleScholarGoogle Scholar |
Hewison, A. J. M., Vincent, J. P., Angibault, J. M., Delorme, D., Laere, G. V., and Gaillard, J. M. (1999). Tests of estimation of age from tooth wear on roe deer of known-age: variation within and among populations. Canadian Journal of Zoology 77, 58–67.
| Tests of estimation of age from tooth wear on roe deer of known-age: variation within and among populations.Crossref | GoogleScholarGoogle Scholar |
Hewitt, D. G., Hellickson, M. W., Lewis, J. S., Wester, D. B., and Bryant, F. C. (2014). Age-related patterns of antler development in free-ranging white-tailed deer. The Journal of Wildlife Management 78, 976–984.
| Age-related patterns of antler development in free-ranging white-tailed deer.Crossref | GoogleScholarGoogle Scholar |
Jacobson, H. A., and Reiner, R. J. (1989). Estimating age of white-tailed deer: tooth wear versus cementum annuli. Proceedings of the Annual Conference of the Southeastern Association of Fish and Wildlife Agencies 43, 286–291.
Jacobson, H. A., DeYoung, C. A., DeYoung, R. W., Fulbright, T. E., and Hewitt, D. G. (2011). Management on private property. In ‘Biology and Management of White-tailed Deer’. (Ed. D. G. Hewitt.) pp. 453–480. (CRC Press: Boca Raton, FL, USA.)
Johnson, D. H. (1999). The insignificance of statistical significance testing. The Journal of Wildlife Management 63, 763–772.
| The insignificance of statistical significance testing.Crossref | GoogleScholarGoogle Scholar |
Kaiser, T. M., Brasch, J., Castell, J. C., Schulz, E., and Clauss, M. (2009). Tooth wear in captive wild ruminant species differs from that of free-ranging conspecifics. Mammalian Biology 74, 425–437.
| Tooth wear in captive wild ruminant species differs from that of free-ranging conspecifics.Crossref | GoogleScholarGoogle Scholar |
Kaiser, T. M., Muller, D. W., Fortelius, M., Schulz, E., Codron, D., and Clauss, M. (2013). Hypsodonty and tooth facet development in relation to diet and habitat in herbivorous ungulates: implications for understanding tooth wear. Mammal Review 43, 34–46.
| Hypsodonty and tooth facet development in relation to diet and habitat in herbivorous ungulates: implications for understanding tooth wear.Crossref | GoogleScholarGoogle Scholar |
Kozicky, E. L. (1997). A protein pellet feed-delivery system for white-tailed deer. Management Bulletin 1, Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX, USA.
Low, W. A., and Cowan, I. M. (1963). Age determination of deer by annular structure of dental cementum. The Journal of Wildlife Management 27, 466–470.
| Age determination of deer by annular structure of dental cementum.Crossref | GoogleScholarGoogle Scholar |
Lyons, E. K., Schroeder, M. A., and Robb, L. A. (2012). Criteria for determining sex and age of birds and mammals. In ‘The Wildlife Techniques Manual, Vol. 1: Research’, 7th edn. (Ed. N. J. Silvy.) pp. 207–229. (The Johns Hopkins University Press: Baltimore, MD, USA.)
McCaffery, K. R. (2001). Evaluation of population estimation methods. In ‘Sandhill Whitetails: Providing New Perspective for Deer Management’. (Eds J. F. Kubisiak, K. R. McCaffery, W. A. Creed, T. A. Heberlein, R. C. Bishop, and R. E. Rolley.) pp. 136–154. (Wisconsin Department of Natural Resources: Madison, WI, USA.)
McCullough, D. R. (1996). Failure of the tooth cementum aging technique with reduced population density of deer. Wildlife Society Bulletin 24, 722–724.
Meares, J. M., Murphy, B. P., Ruth, C. R., Osborn, D. A., Warren, R. J., and Miller, K. V. (2006). A quantitative evaluation of the Severinghaus technique for estimating age of white-tailed deer. Proceedings of the Annual Conference of the Southeastern Association of Fish and Wildlife Agencies 60, 89–93.
Merceron, G., Ramdarshan, A., Blondel, C., Boisserie, J. R., Brunetiere, N., Francisco, A., Gautier, D., Milhet, X., Novello, A., and Pret, D. (2016). Untangling the environmental from the dietary: dust does not matter. Proceedings of the Royal Society of London. Series B, Biological Sciences 283, 20161032.
| Untangling the environmental from the dietary: dust does not matter.Crossref | GoogleScholarGoogle Scholar |
Miller, M. W., and Conner, M. M. (2005). Epidemiology of chronic wasting disease in free-ranging mule deer: spatial, temporal, and demographic influences on observed prevalence patterns. Journal of Wildlife Diseases 41, 275–290.
| Epidemiology of chronic wasting disease in free-ranging mule deer: spatial, temporal, and demographic influences on observed prevalence patterns.Crossref | GoogleScholarGoogle Scholar | 16107661PubMed |
Mysterud, A., and Ostbye, E. (2006). Comparing simple methods for ageing roe deer Capreolus capreolus: are any of them useful for management? Wildlife Biology 12, 101–107.
| Comparing simple methods for ageing roe deer Capreolus capreolus: are any of them useful for management?Crossref | GoogleScholarGoogle Scholar |
Nakagawa, S., and Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: a practical guide for biologists. Biological Reviews of the Cambridge Philosophical Society 82, 591–605.
| Effect size, confidence interval and statistical significance: a practical guide for biologists.Crossref | GoogleScholarGoogle Scholar | 17944619PubMed |
Nesbitt, W. H., and Wright, P. L. (1981). ‘Records of North American big game.’ (Boone and Crockett Club: Alexandria, VA, USA.)
Newsom, J. D., and Sullivan, J. S. (1968). Cyro-branding: a marking technique for white-tailed deer. Proceedings of the Southeastern Association of Fish and Wildlife Agencies 22, 128–133.
Norwine, J., and John, K. (2007). ‘The changing climate of South Texas, 1900–2100: Problems and prospects, impacts and implications.’ (CREST-RESSACA, Texas A&M University-Kingsville.)
Parent, C. J., Hernandez, F., Brennan, L. A., Wester, D. B., Bryant, F. C., and Schnupp, M. J. (2016). Northern bobwhite abundance in relation to precipitation and landscape structure. The Journal of Wildlife Management 80, 7–18.
| Northern bobwhite abundance in relation to precipitation and landscape structure.Crossref | GoogleScholarGoogle Scholar |
R Core Team (2013). ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria.)
Ramsey, C. W., Steinbach, D. W., and Rideout, D. W. (1993). ‘Determining the age of a deer.’ (Texas Agricultural Extension Service, College Station: USA.)
Rice, M. (2018). Population parameters and stress in white-tailed deer in south Texas. Thesis. Texas A&M University-Kingsville, Kingsville, TX, USA.
Rolandsen, C. M., Solberg, E. J., Heim, M., Holmstrom, F., Solem, M. I., and Saether, B. E. (2008). Accuracy and repeatability of moose (Alces alces) age as estimated from dental cement layers. European Journal of Wildlife Research 54, 6–14.
| Accuracy and repeatability of moose (Alces alces) age as estimated from dental cement layers.Crossref | GoogleScholarGoogle Scholar |
Roseberry, J. L. (1980). Age determination of white-tailed deer in the Midwest – methods and problems. In ‘Proceedings of the 1979 Symposium. White-tailed deer population management in the north central states’. (Eds R. L. Hine and S. Nehls.) pp. 73–82. (The North Central Section of the Wildlife Society: Urbana, IL, USA.)
Roseberry, J. L., and Woolf, A. (1991). A comparative evaluation of techniques for analysing white-tailed deer harvest data. Wildlife Monographs 117, 3–59.
Schulz, E., Fraas, S., Kaiser, T. M., Cunningham, P. L., Ismail, K., and Wronski, T. (2013). Food preferences and tooth wear in the sand gazelle (Gazella marica). Mammalian Biology 78, 55–62.
| Food preferences and tooth wear in the sand gazelle (Gazella marica).Crossref | GoogleScholarGoogle Scholar |
Severinghaus, C. W. (1949). Tooth development and wear as criteria of age in white-tailed deer. The Journal of Wildlife Management 13, 195–216.
| Tooth development and wear as criteria of age in white-tailed deer.Crossref | GoogleScholarGoogle Scholar |
Severinghaus, C. W., and Cheatum, E. L. (1956). Life and times of white-tailed deer. In ‘The Deer of North America’. (Ed. W. P. Taylor.) pp. 57–186. (Stackpole: Harrisburg, Pennsylvania, USA and The Wildlife Management Institute: Washington, DC, USA.)
Solberg, E. J., and Sæther, B. E. (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.
| Male traits as life-history variables: annual variation in body mass and antler size in moose (Alces alces).Crossref | GoogleScholarGoogle Scholar |
Storm, D. J., Samuel, M. D., Rolley, R. E., Beissel, T., Richards, B. J., and Van Deelen, T. R. (2014). Estimating ages of white-tailed deer: age and sex patterns of error using tooth wear-and-replacement and consistency of cementum annuli. Wildlife Society Bulletin 38, 849–856.
| Estimating ages of white-tailed deer: age and sex patterns of error using tooth wear-and-replacement and consistency of cementum annuli.Crossref | GoogleScholarGoogle Scholar |
Texas National Resources Information System (TNRIS) (2019). Soils homepage. Available at https://tnris.org/data-catalog/entry/soils/ [verified 15 June 2018].
Thomas, D. C., and Bandy, P. J. (1973). Age determination of wild black-tailed deer from dental annulations. The Journal of Wildlife Management 37, 232–235.
| Age determination of wild black-tailed deer from dental annulations.Crossref | GoogleScholarGoogle Scholar |
United States Drought Monitor (2019). Time series home page. Available at https://droughtmonitor.unl.edu/Data/Timeseries.aspx [verified 3 March 2019].
Welch, B. L. (1951). On the comparison of several mean values: an alternative approach. Biometrika 38, 330–336.
| On the comparison of several mean values: an alternative approach.Crossref | GoogleScholarGoogle Scholar |
