Ecology. Michael Begon

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as the ‘total number of offspring that would have been produced had there been no intraspecific competition’, i.e. if each reproducing individual had produced as many offspring as it would have done in a competition‐free environment. A is then the total number of offspring actually produced. (In practice, B is usually estimated from the population experiencing the least competition – not necessarily competition‐free.) For growth, we think of B as the total biomass, or total number of modules, that would have been produced had all individuals grown as if they were in a competition‐free situation. A is then the total biomass or total number of modules actually produced. Examples are shown in Figure 5.11e–g. The patterns are essentially similar to those in Figure 5.11a–d. Each falls somewhere on the continuum ranging between density independence and pure scramble, and their position along that continuum is immediately apparent: exactly compensating density dependence for fecundity in Figure 5.11e, a b value rising to infinity for the reproduction in Figure 5.11f, and density dependence remaining undercompensating for the growth in Figure 5.11g.

Graphs depict the density-dependent birth and mortality rates lead to the regulation of population size. When both are density dependent (a), or when either of them is (b, c), their two curves cross. The situation is closer to that shown in (d), where mortality rate broadly increases, and birth rate broadly decreases, with density. It is possible, therefore, for the two rates to balance not at just one density, but over a broad range of densities, and it is towards this broad range that other densities tend to move.

      5.4.1 Carrying capacities

      Figures 5.12a–c reiterate the fact that as density increases, the per capita birth rate eventually falls and the per capita death rate eventually rises. There must, therefore, be a density at which these curves cross. At densities below this point, the birth rate exceeds the death rate and the population increases in size. At densities above the crossover point, the death rate exceeds the birth rate and the population declines. At the crossover density itself, the two rates are equal and there is no net change in population size. This density therefore represents a stable equilibrium, in that all other densities will tend to approach it. In other words, intraspecific competition, by acting on birth rates and death rates, can regulate populations at a stable density at which the birth rate equals the death rate. This density is known as the carrying capacity of the population and is usually denoted by K (Figure 5.12). It is called a carrying capacity because it represents the population size that the resources of the environment can just maintain (‘carry’) without a tendency to either increase or decrease.

      real populations lack simple carrying capacities

      In fact, the concept of a population settling at a stable carrying capacity, even in caricatured populations, is relevant only to situations in which density dependence is not strongly overcompensating. Where there is overcompensation, cycles or even chaotic changes in population size may be the result. We return to this point later (see Section 5.6.5).

      5.4.2 Net recruitment curves

      peak recruitment occurs at intermediate densities

Graphs depict intraspecific competition typically generates n-shaped net recruitment curves and S-shaped growth curves. (a) Density-dependent effects on the numbers dying and the number of births in a population: net recruitment is births minus deaths. Hence, as shown in (b), the density-dependent effect of intraspecific competition on net recruitment is a domed or n-shaped curve. (c) A population increasing in size under the influence of the relationships in (a) and (b).

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