Density dependence, prey dependence, and population dynamics of martens in Ontario

Ecology

Volumn 80, Issue 4, 1999, Pages 1311-1321

  Fryxell, John M ^a   Falls, J Bruce ^b   Falls, E Ann ^b   Brooks, Ronald J ^a   Dix, Linda ^c   Strickland, Marjorie A ^c  

^a UNIVERSITY OF GUELPH   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c ONTARIO MINISTRY OF NATURAL RESOURCES   (Canada)

Author keywords

Cohort analysis; Harvest; Interference; Martes americana; Numerical response; Population dynamics; Predator; Prey; Small mammal; Stability; Territoriality; Time series

Indexed keywords

CARNIVORE; DENSITY DEPENDENCE; POPULATION DYNAMICS; PREDATOR-PREY INTERACTION;

ALGONQUIN PARK; CANADA; ONTARIO;

CARNIVORA; CERVIDAE; CRICETINAE; GLAUCOMYS SABRINUS; MAMMALIA; MARTES AMERICANA; MUSTELINAE; PEROMYSCUS MANICULATUS; PETAURISTINAE; SCIURIDAE; TAMIASCIURIS; TAMIASCIURIS HUDSONICUS; TAMIASCIURUS; TRIXIS;

EID: 0033043091     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9658(1999)080[1311:DDPDAP]2.0.CO;2     Document Type: Article

References (79)

1. Abrams, P. A. 1994. The fallacies of a "ratio-dependent" predation. Ecology 75:1842-1850.
2. Akçakaya, H. R. 1992. Population cycles of mammals: evidence for a ratio-dependent predation hypothesis. Ecological Monographs 62:119-142.
3. Arditi, R., and L. R. Ginzburg. 1989. Coupling in predator-prey dynamics: ratio-dependence. Journal of Theoretical Biology 139:311-326.
4. Balharry, D. 1993. Social organization in martens: an inflexible system? Symposium of the Royal Society of London 65:321-345.
5. Baranov, F. I. 1918. On the question of the biological basis of fisheries. Izvestiia Gosudarstvennogo Instituta Opytnoi Agronomii 1:81-128.
6. Bayliss, P. 1985. The population dynamics of red and western gray kangaroos in arid New South Wales. Australia. II. The numerical response function. Journal of Animal Ecology 54:127-135.
7. Beddington, J. R. 1975. Mutual interference between parasites or predators and its effect on searching efficiency. Journal of Animal Ecology 44:331-340.
8. Bulmer, M. G. 1974. A statistical analysis of the 10-year cycle in Canada. Journal of Animal Ecology 43:701-718.
9. _. 1975. Phase relations in the ten-year cycle. Journal of Animal Ecology 44:609-621.
10. Carpenter, S. R., K. L. Cottingham, and C. A. Snow. 1994. Fitting predator-prey models to time series with observation errors. Ecology 75:1254-1264.
11. DeAngelis, D. L., R. A. Goldstein, and R. V. O'Neill. 1975. A model for trophic interactions. Ecology 56:881-892.
12. Dennis, B., and M. L. Taper. 1994. Density dependence in time series observations of natural populations: estimation and testing. Ecological Monographs 64:205-224.
13. Dill, L. M. 1978. An energy-based model of optimal feeding-territory size. Theoretical Population Biology 14:396-429.
14. Dix, L. M., and M. A. Strickland. 1986. The use of radiographs to classify marten by sex and age. Wildlife Society Bulletin 14:275-279.
15. Elkinton, J. S., W. M. Healy, J. P. Buonaccorsi, G. H. Boettner, A. M. Hazzard, H. R. Smith, and A. M. Liebhold. 1996. Interactions among gypsy moths, white-footed mice, and acorns. Ecology 77:2332-2342.
16. Ellner, S., and P. Turchin. 1995. Chaos in a noisy world: new methods and evidence from time-series analysis. American Naturalist 145:343-375.
17. Francis, G. R., and A. B. Stephenson. 1972. Marten ranges and food habits in Algonquin Provincial Park, Ontario. Research Report no. 91, Ontario Ministry of Natural Resources, Ontario, Canada.
18. Fry, F. E. J. 1949. Statistics of a lake trout fishery. Biometrics 5:27-67.
19. Fryxell, J. M., J. B. Falls, E. A. Falls, and R. J. Brooks. 1998. Long-term dynamics of small-mammal populations in Ontario. Ecology 79:213-225.
20. Fryxell, J. M., D. J. T. Hussell, A. B. Lambert, and P. C. Smith. 1991. Time lags and population fluctuations in white-tailed deer. Journal of Wildlife Management 55:377-385.
21. Fryxell, J. M., and P. Lundberg. 1997. Individual behavior and community dynamics. Chapman and Hall, New York, New York, USA.
22. Fryxell, J. M., W. E. Mercer, and R. B. Gellately. 1988. Population dynamics of Newfoundland moose using cohort analysis. Journal of Wildlife Management 52:14-21.
23. Getz, W. M. 1984. Population dynamics: a per capita resource approach. Journal of Theoretical Biology 108:623-643.
24. _. 1993. Metaphysiological and evolutionary dynamics of populations exploiting constant and interactive resources: r-K selection revisited. Evolutionary Ecology 7: 287-305.
25. Gilpin, M. E. 1972. Enriched predator-prey systems: theoretical stability. Science 177:902-904.
26. Gleeson, S. K. 1994. Density dependence is better than ratio dependence. Ecology 75:1834-1835.
27. Gutierrez, A. P., N. J. Mills, S. J. Schreiber, and C. K. Ellis. 1994. A physiologically based tritrophic perspective on bottom-up-top-down regulation of populations. Ecology 75:2227-2242.
28. Hanski, I., L. Hansson, and H. Henttonen. 1991. Specialist predators, generalist predators, and the microtine rodent cycle. Journal of Animal Ecology 60:353-367.
29. Hanski, I., and E. Korpimäki. 1995. Microtine rodent dynamics in northern Europe: parameterized models for the predator-prey interaction. Ecology 76:840-850.
30. Hanski, I., P. Turchin, E. Korpimäki, and H. Henttonen. 1993. Population oscillations of boreal rodents: regulation by mustelid predators leads to chaos. Nature 364:232-235.
31. Hassell, M. P., and G. C. Varley. 1969. New inductive population model for insect parasites and its bearing on biological control. Nature 223:1133-1137.
32. Hodgman, T. P., D. J. Harrison, D. D. Katnik, and K. D. Elowe. 1994. Survival in an intensively trapped marten population in Maine. Journal of Wildlife Management 58: 593-600.
33. Holling, C. S. 1959. Some characteristics of simple types of predation and parasitism. Canadian Entomologist 91:385-398.
34. Holmgren, N. 1995. The ideal free distribution of unequal competitors: predictions from a behaviour-based functional response. Journal of Animal Ecology 64:197-212.
35. King, C. M. 1983. The relationships between beech (Nothofagus sp.) seedfall and populations of mice (Mus musculus) and the demographic and dietary responses of stoats (Mustela erminea) in three New Zealand forests. Journal of Animal Ecology 52:141-166.
36. Krebs, C. J., S. Boutin, R. Boonstra, A. R. E. Sinclair, J. N. M. Smith, M. R. T. Dale, K. Martin, and R. Turkington. 1995. Impact of food and predation on the snowshoe hare cycle. Science 269:1112-1115.
37. Leslie, P. H. 1948. Some further notes on the use of matrices in population mathematics. Biometrica 35:213-245.
38. Lotka, A. J. 1925. Elements of physical biology. Williams and Wilkin. Baltimore, Maryland, USA.
39. May, R. 1972. Limit cycles in predator-prey communities. Science 177:900-902.
40. May, R. M. 1973. Stability and complexity in model ecosystems. Princeton University Press, Princeton, New Jersey, USA.
41. McLaren, B. E., and R. O. Peterson. 1994. Wolves, moose, and tree rings in Isle Royale. Science 266:1555-1558.
42. Messier, F. 1994. Ungulate population models with predation: a case study with the North American moose. Ecology 75:478-488.
43. Moody, A. L., and A. I. Houston. 1995. Interference and the ideal free distribution. Animal Behaviour 49:1065-1072.
44. Murdoch, W. W., and A. Oaten. 1975. Predation and population stability. Advances in Ecological Research 9:2-131.
45. Pimm, S. L. 1982. Food webs. Chapman and Hall, London, UK.
46. Pope, J. G. 1972. An investigation of the accuracy of virtual population analysis using cohort analysis. International Commission for the Northwest Atlantic Fisheries Research Bulletin 9:65-74.
47. Powell, R. A. 1979. Mustelid spacing patterns: variations on a theme by Mustela. Zeitschrift fur Tierpsychologie. 50: 153-165.
48. _. 1980. Stability in a one-predator-three prey community. American Naturalist 115:567-579.
49. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery. 1992. Numerical recipes in C. Second edition. Cambridge University Press, Cambridge, UK.
50. Pucek, Z., W. Jedrzejewski, B. Jedrzejewska, and M. Pucek. 1993. Rodent population dynamics in a primeval deciduous forest (Bialowieza National Park) in relation to weather, seed crop, and predation. Acta Theriologica 38:199-232.
51. Ricker, W. E. 1940. Relation of "catch per unit effort" to abundance and rate of exploitation. Journal of the Fisheries Research Board of Canada 5:43-70.
52. Rosenzweig, M. L. 1971. Paradox of enrichment: destabilization of exploitation ecosystems in ecological time. Science 171:385-387.
53. Rosenzweig, M. L., and R. H. MacArthur. 1963. Graphical representation and stability conditions of predator-prey interactions. American Naturalist 97:209-223.
54. Royama, T. 1992. Analytical population dynamics. Chapman and Hall, London, UK.
55. Ruxton, G. D., W. S. C. Gurney, and A. M. de Roos. 1992. Interference and generation cycles. Theoretical Population Biology 42:235-253.
56. Saitoh, T. 1987. A time series and geographical analysis of population dynamics of the red-backed vole in Hokkaido, Japan. Oecologia 73:382-388.
57. _. 1991. The effect and limits of territoriality on population regulation in grey-sided voles, Clethrionomys rufocanus bedfordiae. Researches on Population Ecology 33: 367-386.
58. Saitoh, T., N. Chr. Stenseth, and O. N. Bjørnstad. 1997. Density dependence in fluctuating grey-sided vole populations. Journal of Animal Ecology 66:14-24.
59. Schneider, R. R., and P. Yodzis. 1994. Extinction dynamics in the American marten (Martes americana). Conservation Biology 8:1058-1068.
60. Schoener, T. 1983. Simple models of optimal feeding-territory size: a reconciliation. American Naturalist 121:608-629.
61. _. 1987. Time budgets and territory size: some simultaneous optimization models for energy maximizers. American Zoologist 27:259-291.
62. Sinclair, A. R. E., J. M. Gosline, G. Holdsworth, C. J. Krebs, S. Boutin, J. N. M. Smith, R. Boonstra, and M. Dale. 1993. Can the solar cycle and climate synchronize the snowshoe hare cycle in Canada? Evidence from tree rings and ice cores. American Naturalist 141:173-198.
63. Steen, H., R. A. Ims, and G. A. Sonerud. 1996. Spatial and temporal patterns of small-rodent population dynamics at a regional scale. Ecology 77:2365-2372.
64. Stenseth, N. Chr., O. N. Bjornstad, and T. Saitoh. 1996. A gradient from stable to cyclic populations of Clethrionomys rufocanus in Hokkaido, Japan. Proceedings of the Royal Society of London Series B 263:1117-1126.
65. Stephens, D. W., and S. R. Dunbar. 1993. Dimensional analysis in behavioral ecology. Behavioral Ecology 4:172-183.
66. Strickland, M. A., and C. W. Douglas. 1987 Marten. Pages 530-546 in M. Novak, J. A. Baker, M. E. Obbard, and B. Malloch, editors. Wild furbearer management and conservation in North America. Ontario Trappers Association, Toronto, Ontario, Canada.
67. Sutherland, W. J., and G. A. Parker. 1985. Distribution of unequal competitors. Pages 255-273 in R. M. Sibly and R. H. Smith, editors. Behavioral ecology. Blackwell, Oxford, UK.
68. Sutherland, W. J., and G. A. Parker. 1992. The relationship between continuous input and interference models of ideal free distributions with unequal competitors. Animal Behaviour 44:345-355.
69. Tanner, J. T. 1975. The stability and the intrinsic growth rates of prey and predator populations. Ecology 56:855-867.
70. Tapper, S. 1979. The effect of fluctuating vole numbers (Microtus agrestis) on a population of weasels (Mustela nivalis) on farmland. Journal of Animal Ecology 48:603-617.
71. Taylor, M. E., and N. Abrey. 1982. Marten, Martes americana, movements and habitat use in Algonquin Provincial Park, Ontario. Canadian Field Naturalist 96:439-447.
72. Thompson, I. D., and P. W. Colgan. 1987. Numerical responses of martens to a food shortage in northcentral Ontario. Journal of Wildlife Management 51:824-835.
73. Turchin, P., and A. D. Taylor. 1992. Complex dynamics in ecological time series. Ecology 73:289-305.
74. Ulltang, O. 1977. Sources of errors and limitations of virtual population analysis (cohort analysis). Journal du Conseil Conseil International pour l'Exploration de la Mer 37:249-260.
75. Volterra, V. 1928. Variations and fluctuations of the number of individuals in animal species living together. Journal du Conseil Conseil International pour l'Exploration de la Mer 3:3-51.
76. Weckworth, R. P., and V. D. Hawley. 1962. Marten food habits and population fluctuations in Montana. Journal of Wildlife Management 26:55-74.
77. Wilkinson, L. 1990. SYSTAT: the system for statistics. SYSTAT, Evanston, Illinois, USA.
78. Wolff, J. O. 1996. Population fluctuations of mast-eating rodents are correlated with acorn production. Journal of Mammalogy 77:850-856.
79. Yodzis, P. 1989. Introduction to theoretical ecology. Harper and Row, New York, New York, USA.