However, this association is again strongly altered by the interactions of population density with cities.
It brings to the fore the dynamic interactions of population, urbanization and levels of incomes with food production, utilization of natural resource endowments and technology.
Further investigation of the interactions of population size, landscape ruggedness and mutation rate with bottleneck size, and the importance of different types of mutations during growth-bottleneck cycles [ 64] deserves further study.
This work has been concerned with issues of tropical deforestation, with climate change and societal impacts, with the reciprocal interactions of population-environment-consumption, with large-scale monitoring of changes in vegetation and with mega-urbanization dynamics, and with historical reconstructions of human interactions at local and regional scales.
A further polygon contains the remaining interactions of populations at other experimental sites.
However, recent studies of the natural populations indicated that the interactions of populations, for example, the density-dependent population regulation sometimes takes place over many generations (see [12 29] and the references therein).
Difference equations are frequently used in modelling the interactions of populations with nonoverlapping generations (see, e.g., May and Oster [1] for the one-species difference equations; [2] for how populations regulate; Hassel [3], Basson and Fogarty [4] and Beddington et al. [5] for predator-prey models).
Notably, it has recently been proposed that species richness may be promoted by incomplete filling of niche space due localized dynamic coevolutionary interactions of populations with their pathogens or other natural enemies [4].
To illustrate some of these general patterns, we now look in more detail at differences in population genetic structure of Chinook salmon in Puget Sound and the Columbia River and how these differences reflect historical interactions of populations with their dynamic habitats.
The interactions of populations with test sites and populations with year were statistically significant for nearly all traits, indicating that population responses differed among test sites and between years; however, F-values were generally not large compared with main effects (Table 2).
Cropper, M. & Griffiths, C. The interaction of population growth and environmental quality.
