Patterns of density dependence in moths and aphids

1. The incidence of density dependence was examined in 5715 time-series of annual abundances of 447 species of moths and aphids in the UK using three techniques (Ricker equation, Bulmer's test and Pollard et al.'s test). 2. Delayed density dependence (lag 2 years) was not found more frequently than expected by chance. In the moth family Noctuidae, delayed density dependence was slightly but significantly more frequent in woodland populations than in non-woodland populations, consistent with a higher frequency of outbreak species among forest Lepidoptera. 3. The incidence of significant density dependence increased with the length of the time-series (from 10 to 24 years), and density dependence was detected more frequently in species which did not show a significant trend in abundance over time. 4. The incidence of density dependence was 79% and 88% in moth and aphid time-series which were longer than 20 years (Bulmer's test). 5. There were only slight differences between localities in the average degree of density dependence when the effects of time-series length and trend were removed. 6. Significant differences were found between species in the average degree of density dependence, especially in noctuid moths and aphids. In noctuids, the average degree of density dependence increased with body size.

[1]  W. Schaffer.  Order and Chaos in Ecological Systems , 1985 .

[2]  M. Mountford.  Population regulation, density dependence, and heterogeneity , 1988 .

[3]  George Sugihara,et al.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.

[4]  J. Lawton,et al.  A test of statistical techniques for detecting density dependence in sequential censuses of animal populations , 1987, Oecologia.

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

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

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

[8]  Peter Turchin,et al.  Complex Dynamics in Ecological Time Series , 1992 .

[9]  M. Hassell,et al.  The Dynamics of the Viburnum Whitefly (Aleurotrachelus jelinekii): A Case Study of Population Regulation , 1987 .

[10]  I. Woiwod.  Trap responses of flying insects , 1991 .

[11]  D. Maelzer,et al.  The Regression of Log N(n+1) On Log N(n) as a Test of Density Dependence: An Exercise with Computer-Constructed Density-Independent Populations. , 1970, Ecology.

[12]  J. P. Dempster,et al.  THE NATURAL CONTROL OF POPULATIONS OF BUTTERFLIES AND MOTHS , 1983 .

[13]  W M Schaffer,et al.  Chaos in ecological systems: The coals that Newcastle forgot. , 1986, Trends in ecology & evolution.

[14]  N. Slade.  Statistical Detection of Density Dependence from a Series of Sequential Censuses , 1977 .

[15]  J. Lawton,et al.  Patterns in the distribution and abundance of insect populations , 1988, Nature.

[16]  R. M. May,et al.  Seeing the wood for the trees: detecting density dependence from existing life-table studies , 1989 .

[17]  P. Stiling,et al.  Density-dependent processes and key factors in insect populations , 1988 .

[18]  P. Stiling.  The Frequency of Density Dependence in Insect Host‐Parasitoid Systems , 1987 .

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

[20]  M. Hassell.  Insect natural enemies as regulating factors , 1985 .

[21]  Delayed density-dependence , 1991, Nature.

[22]  William Gurney,et al.  Structured population models: a tool for linking effects at individual and population level , 1989 .

[23]  Ilkka Hanski,et al.  Metapopulation dynamics : empirical and theoretical investigations , 1991 .

[24]  L. Taylor,et al.  Variance and the large scale spatial stability of aphids, moths and birds. , 1980 .

[25]  T. Prout,et al.  Competition Among Immatures Affects Their Adult Fertility: Population Dynamics , 1985, The American Naturalist.

[26]  Andrew R. Solow,et al.  On sample size, statistical power, and the detection of density dependence. , 1990 .

[27]  G. M. Tatchell,et al.  The Rothamsted insect survey 12-metrë suction trap , 1988 .

[28]  D. R. Strong,et al.  Density-vague population change. , 1986, Trends in ecology & evolution.

[29]  M. Hassell.  Detecting regulation in patchily distributed animal populations , 1987 .

[30]  M. Hassell,et al.  The dynamics of age-structured host-parasitoid interactions , 1988 .

[31]  L. Taylor,et al.  Synoptic Dynamics, Migration and the Rothamsted Insect Survey: Presidential Address to the British Ecological Society, December 1984 , 1986 .

[32]  William M. Schaffer,et al.  Stretching and Folding in Lynx Fur Returns: Evidence for a Strange Attractor in Nature? , 1984, The American Naturalist.

[33]  Peter Turchin,et al.  Rarity of density dependence or population regulation with lags? , 1990, Nature.

[34]  J. N. Perry,et al.  Complex dynamics in multispecies communities , 1990 .

[35]  Ian P. Woiwod,et al.  Temporal stability as a density-dependent species characteristic. , 1980 .

[36]  Michael P. Hassell,et al.  Spatial structure and chaos in insect population dynamics , 1991, Nature.