Density dependence in fluctuating grey-sided vole populations

1. The presence of direct and delayed (1 year) density dependence in fluctuating grey-sided vole populations (Clethrionomys rufocanus) in Hokkaido, Japan, were tested using 90 time series spanning 31 years (1962 92). 2. The autocorrelation test of Bulmer, the randomization test of Pollard. Lakhani & Rothery, and the bootstrap test of Dennis & Taper using two different models (Ricker and Gompertz) detected direct density dependence in most of the time series (90.0-100%) at the 5% level (one-tailed test). 3. Plotting population growth rates as functions of abundance suggested that the Gompertz model is more appropriate than the Ricker model for the studied populations. The tests for direct density dependence using the Gompertz model also rejected the null hypothesis of density-independent growth more frequently than the tests using the Ricker model. 4. We extended the randomization and the bootstrap methods to investigate delayed density dependence by using partial correlation and partial regression, respectively. The extended tests detected delayed density dependence in 8-15 time series (8.9%-16.7% at the 5% level (two-tailed test). 5. The high incidence of direct density dependence and the low, but significant, incidence of delayed density dependence in these vole populations are discussed. Delayed maturation at high densities by social interference and a rich generalist fauna are thought to represent plausible mechanisms generating direct density dependence. As a candidate mechanism for delayed density dependence, specialist predator and climate conditions (affecting the exposure to predators) are discussed.

[1]  N. Stenseth,et al.  A gradient from stable to cyclic populations of Clethrionomys rufocanus in Hokkaido, Japan , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[2]  N. Stenseth,et al.  Cyclicity and Stability of Grey-Sided Voles, Clethrionomys rufocanus, of Hokkaido: Spectral and Principal Components Analyses , 1996 .

[3]  N. Stenseth,et al.  A geographic gradient in small rodent density fluctuations: a statistical modelling approach , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[4]  Ilkka Hanski,et al.  Microtine Rodent Dynamics in Northern Europe: Parameterized Models for the Predator‐Prey Interaction , 1995 .

[5]  R. Ostfeld,et al.  DENSITY-DEPENDENT PROCESSES IN MEADOW VOLES: AN EXPERIMENTAL APPROACH' , 1995 .

[6]  Peter Turchin,et al.  Population Regulation" Old Arguments and a New Synthesis , 1995 .

[7]  F. Saucy.  Density dependence in time series of the fossorial form of the water vole, Arvicola terrestris , 1994 .

[8]  M. Holyoak.  Identifying delayed density dependence in time-series data , 1994 .

[9]  B. Hörnfeldt,et al.  Delayed Density Dependence as a Determinant of Vole Cycles , 1994 .

[10]  F. Messier,et al.  UNGULATE POPULATION MODELS WITH PREDATION: A CASE STUDY WITH THE NORTH AMERICAN MOOSE' , 1994 .

[11]  Brian Dennis,et al.  DENSITY DEPENDENCE IN TIME SERIES OBSERVATIONS OF NATURAL POPULATIONS: ESTIMATION AND TESTING' , 1994 .

[12]  S. R. Pugh,et al.  Intrinsic density-dependent regulation of vole populations , 1993, Nature.

[13]  P. Turchin.  Chaos and stability in rodent population dynamics: evidence from non-linear time-series analysis , 1993 .

[14]  Erkki Korpimäki,et al.  Population oscillations of boreal rodents: regulation by mustelid predators leads to chaos , 1993, Nature.

[15]  T. Royama,et al.  Analytical Population Dynamics , 1994, Population and Community Biology Series.

[16]  Ian P. Woiwod,et al.  Patterns of density dependence in moths and aphids , 1992 .

[17]  T. Saitoh,et al.  Rodent dynamics and community structure: Clethrionomys rufocanus in northern Fennoscandia and Hokkaido , 1992 .

[18]  Ilkka Hanski,et al.  Specialist predators, generalist predators, and the microtine rodent cycle. , 1991 .

[19]  J. Gee,et al.  Ecology (3rd edn) , 1991 .

[20]  Muni S. Srivastava,et al.  Regression Analysis: Theory, Methods, and Applications , 1991 .

[21]  R. Ostfeld,et al.  The ecology of territoriality in small mammals. , 1990, Trends in ecology & evolution.

[22]  I. Hanski.  Density Dependence, Regulation and Variability in Animal Populations , 1990 .

[23]  T. Clutton‐Brock,et al.  Red deer in the Highlands , 1989 .

[24]  H. Henttonen,et al.  Rodent dynamics as community processes. , 1988, Trends in ecology & evolution.

[25]  R. Ostfeld.  Fluctuations and Constancy in Populations of Small Rodents , 1988, The American Naturalist.

[26]  A. Cockburn.  Social Behaviour in Fluctuating Populations , 1987 .

[27]  P. Rothery,et al.  The Detection of Density-Dependence from a Series of Annual Censuses. , 1987, Ecology.

[28]  L. Hansson,et al.  An Interpretation of Rodent Dynamics as Due to Trophic Interactions , 1987 .

[29]  R. Ims.  Responses in spatial organization and behaviour to manipulations of the food resource in the vole Clethrionomys rufocanus , 1987 .

[30]  J. Flowerdew,et al.  The Ecology of Woodland Rodents, Bank Voles and Wood Mice , 1987 .

[31]  C. Fowler.  A Review of Density Dependence in Populations of Large Mammals , 1987 .

[32]  Michael P. Hassell,et al.  GENERALIST AND SPECIALIST NATURAL ENEMIES IN INSECT PREDATOR-PREY INTERACTIONS , 1986 .

[33]  C. Krebs,et al.  Do Clethrionomys rutilus females suppress maturation of juvenile females , 1986 .

[34]  N. Stenseth.  On the interaction between stabilizing social factors and destabilizing trophic factors in small rodent populations , 1986 .

[35]  S. Bondrup-Nielsen.  Investigation of spacing behaviour of Clethrionomys gapperi by experimentation , 1986 .

[36]  L. Hansson.  Clethrionomys food: generic, specific and regional characteristics , 1985 .

[37]  S. Bondrup-Nielsen,et al.  Movements and spatial patterns in populations of Clethrionomys species: a review , 1985 .

[38]  G. Bujalska.  Regulation of female maturation in Clethrionomys species, with special reference to an island population of C. glareolus , 1985 .

[39]  A. McGuire,et al.  Comparison of amplitudes and frequencies (spectral analyses) of density variations in long-term data sets of Clethrionomys species , 1985 .

[40]  D. B. Preston.  Spectral Analysis and Time Series , 1983 .

[41]  Thomas W. Schoener,et al.  An empirically based estimate of home range , 1981 .

[42]  Charles W. Fowler,et al.  Density Dependence as Related to Life History Strategy , 1981 .

[43]  N. Stenseth.  On Chitty's theory for fluctuating populations: the importance of genetic polymorphism in the generation of regular density cycles. , 1981, Journal of theoretical biology.

[44]  T. Saitoh.  Control of Female Maturation in High Density Populations of the Red-Backed Vole, Clethrionomys rufocanus bedfordiae , 1981 .

[45]  M. Gaines,et al.  Dispersal in Small Mammals , 1980 .

[46]  N. Stenseth,et al.  Reproductive Effort and Optimal Reproductive Rates in Small Rodents , 1980 .

[47]  C. Krebs.  A review of the Chitty Hypothesis of population regulation , 1978 .

[48]  N. Stenseth.  Evolutionary aspects of demographic cycles: the relevance of some models of cycles for microtine fluctuations , 1977 .

[49]  H. Abe.  Population Structure and Reproductive Activity of Clethrionomys rufocanus bedfordiae (THOMAS) in a Wind Shelter-Belt of the Ishikari Plain, Hokkaido , 1976 .

[50]  Bulmer Mg,et al.  The statistical analysis of density dependence. , 1975 .

[51]  M. Bulmer,et al.  The statistical analysis of density dependence. , 1975, Biometrics.

[52]  C. Krebs,et al.  Population Cycles in Small Mammals , 1974 .

[53]  G. Bujalska.  Reproduction stabilizing elements in an island population of Clethrionomys glareolus (Schreber, 1780) , 1970 .

[54]  D. Chitty,et al.  The natural selection of self-regulatory behaviour in animal populations , 1967 .

[55]  D. M. Ellis,et al.  Applied Regression Analysis , 1968 .

[56]  O. Pearson.  The Prey of Carnivores During One Cycle of Mouse Abundance , 1966 .

[57]  O. Pearson,et al.  Carnivore-Mouse Predation: An Example of its Intensity and Bioenergetics , 1964 .

[58]  Dennis Chitty,et al.  POPULATION PROCESSES IN THE VOLE AND THEIR RELEVANCE TO GENERAL THEORY , 1960 .

[59]  M. Tatewaki.  Forest ecology of the islands of the north pacific ocean , 1958 .

[60]  F. A. Pitelka.  Some Aspects of Population Structure In The Short-Term Cycle Of The Brown Lemming In Northern Alaska , 1957 .

[61]  W. Ricker.  Stock and Recruitment , 1954 .

[62]  Benjamin Gompertz,et al.  XXIV. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. In a letter to Francis Baily, Esq. F. R. S. &c , 1825, Philosophical Transactions of the Royal Society of London.