Modelling Density Dependence, Environmental Variability, and Demographic Stochasticity from Population Counts: An Example Using Wytham Wood Great Tits

The relative role of density-dependence and of environmental variables in the fluctuations of animal populations was the subject of a well-known debate in the 1950’s (Lack, 1954; Andrewartha and Birch, 1954). The present consensus (e.g., Royama, 1977), which applies also to plant populations (e.g., Harper, 1967, p.21), can be summarized roughly as follows : —(1) long term stability in numbers can only result from densitydependence, which acts as a negative feedback (in cyberneticians’ language); —(2) large short term variations can be induced by environmental variability, which thus may mask the effects of density-dependence; —(3) population numbers result from the interplay of these two mechanisms in a process which is intrinsically multiplicative over time. As a consequence population numbers rarely follow simple patterns. Great Tit Parus major counts in Wytham wood (Oxfordshire) provide a striking example of this complexity (Fig.1).

[1]  E. Jolivet,et al.  Modèles dynamiques déterministes en biologie , 1983 .

[2]  J. Beddington Age distribution and the stability of simple discrete time population models. , 1974, Journal of theoretical biology.

[3]  Edward L. Frome,et al.  Regression Analysis of Poisson-Distributed Data , 1973 .

[4]  Ramón Margalef Perspectives in Ecological Theory , 1968 .

[5]  M. Koehl,et al.  3. Discussion: From Individuals to Populations , 1989 .

[6]  Christopher M. Perrins,et al.  Population fluctuations and clutch size in the Great tit , 1965 .

[7]  P. McCullagh,et al.  Generalized Linear Models , 1984 .

[8]  John L. Harper A DARWINIAN APPROACH TO PLANT ECOLOGY , 1967 .

[9]  H. G. Andrewartha,et al.  The distribution and abundance of animals. , 1954 .

[10]  J. Nelder,et al.  The GLIM System Release 3. , 1979 .

[11]  P. Holgate,et al.  Branching Processes with Biological Applications , 1977 .

[12]  N. L. Johnson,et al.  Distributions in Statistics: Discrete Distributions. , 1970 .

[13]  S. Zeger,et al.  Markov regression models for time series: a quasi-likelihood approach. , 1988, Biometrics.

[14]  T. Royama Population Persistence and Density Dependence , 1977 .

[15]  Robert M. May,et al.  Theoretical Ecology: Principles and Applications , 1981 .

[16]  G. Salt An examination of Logarithmic Regression as a Measure of Population Density Reponse , 1966 .

[17]  Peter Chesson,et al.  Predator-Prey Theory and Variability , 1978 .

[18]  R. McCleery,et al.  SURVIVAL RATE IN THE GREAT TIT PARUS MAJOR IN RELATION TO SEX, AGE, AND IMMIGRATION STATUS , 1988 .

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