Density Dependence as Related to Life History Strategy

Both theory and empirical information support the conclusion that most density-de- pendent change occurs at high population levels (close to the carrying capacity) for species with life history strategies typical of large mammals. The reverse is true for species with life history strategies typical of insects and some fishes. Theoretical considerations that give rise to these conclusions involve natural selection and trophic dynamics. There is a large body of literature that contains descriptions of density dependence as based on empirical observations. These data, and the models used to represent them, indicate that species with high reproductive rates, short life-spans and pop- ulations held below the limits of environmental resources exhibit most density-dependent change at low population levels. Similar data for species with low reproductive rates, long life-spans and pop- ulations that are more limited by resources (large mammals in particular) indicate that most density- dependent changes in vital rates occur at levels of the population quite close to the carrying capacity.

[1]  G. Varley,et al.  Population models for the winter moth. , 1968 .

[2]  R. May,et al.  Stability and Complexity in Model Ecosystems , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  F. Hamerstrom,et al.  Productivity and yield of the George Reserve deer herd. , 1948 .

[4]  F. J. Richards A Flexible Growth Function for Empirical Use , 1959 .

[5]  J. Tanner Effects of Population Density on Growth Rates of Animal Populations , 1966 .

[6]  D. McCullough,et al.  The George Reserve deer herd : population ecology of a K-selected species , 1980 .

[7]  A. Sinclair The natural regulation of buffalo populations in East Africa: III. Population trends and mortality* , 1974 .

[8]  J. Pella,et al.  A generalized stock production model , 1969 .

[9]  Wesley Woodgerd Population Dynamics of Bighorn Sheep on Wildhorse Island , 1964 .

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

[11]  F. A. Pitelka,et al.  PRINCIPLES OF ANIMAL ECOLOGY , 1951 .

[12]  William E. Ricker Handbook of computations for biological statistics of fish populations , 1960 .

[13]  K. Raedeke Population dynamics and socioecology of the guanaco (Lama guanicoe) of Magallanes, Chile , 1979 .

[14]  F. David,et al.  On the Dynamics of Exploited Fish Populations , 1959, Fish & Fisheries Series.

[15]  Mary Stubbs,et al.  DENSITY DEPENDENCE IN THE LIFE-CYCLES OF ANIMALS AND ITS IMPORTANCE IN K- AND r-STRATEGIES , 1977 .

[16]  V. Cox,et al.  Death rates, psychiatric commitments, blood pressure, and perceived crowding as a function of institutional crowding , 1978 .

[17]  J. T. McFadden An Argument Supporting the Reality of Compensation in Fish Populations and a Plea to Let Them Exercise It , 1977 .

[18]  M. Graham,et al.  Modern Theory of Exploiting a Fishery, and Application to North Sea Trawling , 1935 .

[19]  J. Coulson,et al.  The Breeding Biology of the Grey Seal, Halichoerus grypus (Fab.), on the Farne Islands, Northumberland , 1964 .

[20]  M. Gilpin,et al.  Global models of growth and competition. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[21]  J. Estes Exploitation of Marine Mammals: r-Selection of K-Strategists? , 1979 .