Large-scale spatial variation of chronic stress signals in moose
Autoři:
Göran Spong aff001; Nicholas P. Gould aff002; Ellinor Sahlén aff001; Joris P. G. M. Cromsigt aff001; Jonas Kindberg aff001; Christopher S. DePerno aff002
Působiště autorů:
Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden
aff001; Department of Forestry and Environmental Resources, Fisheries, Wildlife and Conservation Biology Program, Raleigh, NC, United States of America
aff002; Department of Zoology, Centre for African Conservation Ecology, Nelson Mandela Metropolitan University, Port Elizabeth, South Africa
aff003; Norwegian Institute for Nature Research, Trondheim, Norway
aff004
Vyšlo v časopise:
PLoS ONE 15(1)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225990
Souhrn
The physiological effects of short-term stress responses typically lead to increased individual survival as it prepares the body for fight or flight through catabolic reactions in the body. These physiological effects trade off against growth, immunocompetence, reproduction, and even long-term survival. Chronic stress may thus reduce individual and population performance, with direct implications for the management and conservation of wildlife populations. Yet, relatively little is known about how chronic stress levels vary across wild populations and factors contributing to increased chronic stress levels. One method to measure long-term stress in mammals is to quantify slowly incorporated stress hormone (cortisol) in hair, which most likely reflect a long-term average of the stress responses. In this study, we sampled 237 harvested moose Alces alces across Sweden to determine the relative effect of landscape variables and disturbances on moose hair cortisol levels. We used linear model combinations and Akaike’s Information Criterion (corrected for small sample sizes), and included variables related to human disturbance, ungulate competition, large carnivore density, and ambient temperature to estimate the covariates that best explained the variance in stress levels in moose. The most important variables explaining the variation in hair cortisol levels in moose were the long-term average temperature sum in the area moose lived and the distance to occupied wolf territory; higher hair cortisol levels were detected where temperatures were higher and closer to occupied wolf territories, respectively.
Klíčová slova:
Bears – Cortisol – Deer – Hair – Moose – Predation – Sweden – Wolves
Zdroje
1. Boonstra RH, Hik D, Singleton GR, Tinnikov A. The impact of predator-induced stress on the snowshoe hare cycle. Ecology Monographs 1998;79: 371–394.
2. Blas J, Bortolotti GR, Tella JL, Baos R, Marchant TA. Stress response during development predicts fitness in a wild, long lived vertebrate. Proceedings of the National Academy of Sciences USA 2007;104: 8880–8884.
3. Strasser EH, Heath JA. Reproductive failure of a human-tolerant species, the American kestrel, is associated with stress and human disturbance. Journal of Applied Ecology 2013;50: 912–919.
4. McEwen BS, Sapolsky RM. Stress and cognitive function. Current Opinion in Neurobiology 1995;5: 205–216. doi: 10.1016/0959-4388(95)80028-x 7620309
5. Khansari DN, Murgo AJ, Faith RE. Effects of stress on the immune-system. Immunology Today 1990;11: 170–175. doi: 10.1016/0167-5699(90)90069-l 2186751
6. McEwen BS 1. Protective and damaging effects of stress mediators. New England Journal of Medicine 1998;338: 171–179. doi: 10.1056/NEJM199801153380307 9428819
7. Wikelski M, Cooke SJ. Conservation physiology. Trends in Ecology & Evolution 2006;21: 38–46.
8. Bourbonnais ML, Nelson TA, Cattet MRL, Darimont CT, Stenhouse GB. Spatial analysis of factors influencing long-term stress in the grizzly bear (Ursus arctos) population of Alberta, Canada. PLoS One 2013;8.
9. Ward JR, Henricks DM, Jenkins TC, Bridges WC. Serum hormone and metabolite concentrations in fasted young bulls and steers. Domestic Animal Endocrinology 1992;9: 97–103. doi: 10.1016/0739-7240(92)90023-q 1617961
10. Ewers RM, Didham RK. Confounding factors in the detection of species responses to habitat fragmentation. Biological Reviews 2006;81: 117–142. doi: 10.1017/S1464793105006949 16318651
11. Vachon-Presseau E, Roy M, Martel MO, Caron E, Marin MF, Chen JN, et al. The stress model of chronic pain: evidence from basal cortisol and hippocampal structure and function in humans. Brain 2013;136: 815–827. doi: 10.1093/brain/aws371 23436504
12. Silanikove N. Effects of heat stress on the welfare of extensively managed domestic ruminants. Livestock Production Science 2000;67: 1–18.
13. Bechshoft TO, Sonne C, Riget FF, Letcher RJ, Novak MA, Henchey E, et al. Polar bear stress hormone cortisol fluctuates with the North Atlantic Oscillation climate index. Polar Biology 2013;36: 1525–1529.
14. Creel S, Fox JE, Hardy A, Sands J, Garrott B, Peterson RO. Snowmobile activity and glucocorticoid stress responses in wolves and elk. Conservation Biology 2002;16: 809–814.
15. Fey K, Trillmich F. Sibling competition in guinea pigs (Cavia aperea f. porcellus): scrambling for mother's teats is stressful. Behav Ecol Sociobiol 2008;62: 321–329.
16. Mooring MS, Patton ML, Lance VA, Hall BM, Schaad EW, Fetter GA, et al. Glucocorticoids of bison bulls in relation to social status. Hormones and Behavior. 2006; 49: 369–375. doi: 10.1016/j.yhbeh.2005.08.008 16257404
17. Corlatti L., Bethaz S., Hardenberg A, Bassano B, Palme R, and Lovari S. Hormones, parasites and alternative mating tactics in Alpine chamois: identifying the mechanisms of life history trade-offs. Animal Behavior 2012;84: 1061–1070.
18. Davenport MD, Tiefenbacher S. Lutz CK, Novak MA, Meyer JS. Analysis of endogenous cortisol concentrations in the hair of rhesus macaques. Gen Comp Endocrinol 2006;147: 255–261. doi: 10.1016/j.ygcen.2006.01.005 16483573
19. Russell E, Koren G, Rieder M, Van Uum S. Hair cortisol as a biological marker of chronic stress: current status, future directions and unanswered questions. Psychoneuroendocrinology 2012;37: 589–601. doi: 10.1016/j.psyneuen.2011.09.009 21974976
20. Sheriff M, Dantzer JB, Delehanty B, Palme R, Boonstra R. Measuring stress in wildlife: techniques for quantifying glucocorticoids. Oecologia 2011;166: 869–887. doi: 10.1007/s00442-011-1943-y 21344254
21. Macbeth BJ, Cattet MRL, Stenhouse GB,. Gibeau ML, Janz DM. Hair cortisol concentration as a noninvasive measure of long-term stress in free-ranging grizzly bears (Ursus arctos): considerations with implications for other wildlife. Canadian Journal of Zoology 2010;88: 935–949.
22. Ashley NT, Barboza PS, Macbeth BJ, Janz DM, Cattet MR, Booth RK, et al. Glucocorticosteroid concentrations in feces and hair of captive caribou and reindeer following adrenocorticotropic hormone challenge. General and Comparative Endocrinology 2011;172: 382–391. doi: 10.1016/j.ygcen.2011.03.029 21501613
23. Meyer JS., Novak JS. Minireview: Hair cortisol: a novel biomarker of hypothalamic-pituitary-adrenocortical activity. Endocrinology 2012;153: 4120–4127. doi: 10.1210/en.2012-1226 22778226
24. Weed JL, Williams LE, Thomas ML, Mandel M. Hair cortisol titer as a measure of stress in captive owl monkeys (Aotus nancymaae). American Journal of Primatology 2012;74: 76–76.
25. Renecker LA, Hudson RJ. Seasonal energy expenditures and thermoregulatory responses of moose. Canadian Journal of Zoology-Revue Canadienne De Zoologie 1986;64: 322–327.
26. Murray DL, Cox EW, Ballard WB, Whitlaw HA, Lenarz MS, Custer TW, et al. Pathogens, nutritional deficiency, and climate influences on a declining moose population. Wildlife Monographs 2006; 1–29.
27. Lenarz MS, Nelson ME, Schrage MW, Edwards AJ. Temperature Mediated Moose Survival in Northeastern Minnesota. Journal of Wildlife Management 2009;73: 503–510.
28. Lenarz MS, Fieberg J, Schrage MW, Edwards AJ. Living on the Edge: Viability of Moose in Northeastern Minnesota. Journal of Wildlife Management 2010;74: 1013–1023.
29. Messier F. Ungulate population models with predation: A case study with the North American Moose. 1994;75: 478–488.
30. Valimaki P, Madslien K, Malmsten J, Harkonen L, Harkonen S, Kaitala A, et al. Fennoscandian distribution of an important parasite of cervids, the deer ked (Lipoptena cervi), revisited. Parasitology Research 2010; 107: 117–125. doi: 10.1007/s00436-010-1845-7 20379833
31. Singh NJ, Borger L, Dettki H, Bunnefeld N, Ericsson G. From migration to nomadism: movement variability in a northern ungulate across its latitudinal range. Ecological Applications 2012;22: 2007–2020. doi: 10.1890/12-0245.1 23210316
32. Viltolycksstatistik. 2012; http://www.viltolycka.se/statistik/ Accessed online on 2016.05.12.
33. Cook NJ, Review: Minimally invasive sampling media and the measurement of corticosteroids as biomarkers of stress in animals. Canadian Journal of Animal Science 2012; 92: 227–259.
34. SMHI. 2014; Klimatologi Nr 9. Report. (http://www.smhi.se/polopoly_fs/1.81608!/Menu/general/extGroup/attachmentColHold/mainCol1/file/Klimatologi_9%20.pdf) Accessed on April 10, 2016.
35. Allen AM, Månsson J, Sand H, Malmsten J, Ericsson GE, Singh NJ Scaling up movements: from individual space use to population patterns. Ecosphere 2016;7:e01524. doi: 10.1002/ecs2.1524
36. Zuur AF, Ieno EN, Elphick CS. A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 2010;1: 3–14.
37. Corlatti L. Fecal cortisol metabolites under anonymized sampling: Robust estimates despite signicant individual heterogeneity. Ecological Indicators 2018;95: 775–780
38. Burnham KP, Anderson DR. Model selection and multimodel inference: a practical information-theoretic approach. New York: Springer Science & Business Media; 2002.
39. Ericsson G, Dettki H, Neumann W, Arnemo JM, Singh NJ. Offset between GPS collar-recorded temperature in moose and ambient weather station data. European Journal of Wildlife Research 2015;61: 919–922.
40. McCann NP, Moen RA, Harris TR. Warm-season heat stress in moose (Alces alces). Canadian Journal of Zoology-Revue Canadienne De Zoologie 2013;91:893–898.
41. Macbeth BJ, Cattet MR, Obbard ME, Middel K, Janz D. M. Evaluation of hair cortisol concentration as a biomarker of long‐term stress in free‐ranging polar bears. Wildlife Society Bulletin 2012;36: 747–758.
42. Gonzalez-de-la-Vara MD, Valdez RA, Lemus-Ramirez V, Vazquez-Chagoyan JC, Villa-Godoy A, Romano MC. Effects of adrenocorticotropic hormone challenge and age on hair cortisol concentrations in dairy cattle. Canadian Journal of Veterinary Research-Revue Canadienne De Recherche Veterinaire 2011;75: 216–221. 22210998
43. Landys M. Ramenofsky M, Wingfield JC. Actions of glucocorticoids at a seasonal baseline as compared to stress-related levels in the regulation of periodic life processes. General and comparative endocrinology 2006;148: 132–149. doi: 10.1016/j.ygcen.2006.02.013 16624311
44. Malmsten J. Reproduction and health of moose in southern Sweden. Dissertation, Sveriges Lantbruksuniversitet, Uppsala. 2014.
45. Nellemann C, Stoen OG, Kindberg J, Swenson JE, Vistnes I, Ericsson G, et al. Terrain use by an expanding brown bear population in relation to age, recreational resorts and human settlements. Biological Conservation 2007;138: 157–165.
46. Li Y, Zhao MS, Motesharrei S, Mu QZ, Kalnay E, Li SC. Local cooling and warming effects of forests based on satellite observations. Nature Communications 2015;6.
47. Olsson O, Wirtberg J, Andersson M, Wirtberg I. Wolf Canis lupus predation on moose Alces alces and roe deer Capreolus capreolus in south-central Scandinavia. 1997.Wildl Biol 3:13–25.
48. Nichols RV, Spong G. Ungulate browsing on conifers during summer as revealed by DNA. Scand J For Res 2014, 29(7):650–652.
49. IPCC. Climate Change (2008). Impacts, adaptation and vulnerability: working group II contribution to the fourth assessment report of the intergovernmental panel on climate change. Cambridge, Cambridge University Press. 2008.
50. Lundmark C, Ball JP. Living in snowy environments: Quantifying the influence of snow on moose behavior. Arctic Antarctic and Alpine Research 2008;40: 111–118.
51. Frey SJK, Hadley AS, Johnson SL, Schulze M, Jones JA, Betts MG. Spatial models reveal the microclimatic buffering capacity of old-growth forests. Science Advances 2016; 2.
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