A model is developed to consider the interplay between dispersibility and delayed germination in desert annuals. The model explores the effect of low levels of dispersal, considered realistic for annual plants, on optimal germination fraction. The model also demonstrates the effect of the amount and accuracy of "predictive" (responsive to the environment) dormancy on the optimal innate germination fraction (not responsive to environmental conditions).Optimal germination fraction is found to be very sensitive to changes in despersibility especially at the limited dispersibilities that are realistic for annual plants. As dispersibility increases, optimal germination fraction increases. If plants make two kinds of seeds with differing despersibility, reproduction is maximized if the low dispersal seeds have delayed germination and the high dispersal seeds have quick germination. If dormancy mechanisms permit seeds to germinate when environmental conditions allow successful maturation, and remain dormant when environmental conditions do not permit successful maturation, what fraction of seeds should remain dormant under predicted good conditions as a hedge against inaccurate prediction of the environment? If environmental cues that break dormancy are uncorrelated with environmental conditions that permit successful maturation, predictive dormancy has little or no effect on the optimal innate germination fraction. When predictive dormancy lowers the probability of germinating when environmental conditions preclude successful maturation, the optimal innate germination fraction increases with increasing germination control by predictive dormancy. With a moderate degree of germination control by predictive dormancy, the optimal innate dormancy is still sensitive to changes in dispersal in the low dispersal ranges characteristic of annual plants.Evidence is presented from plant species that have both dispersal and germination dimorphisms to support the predicted correlation of high germination fractions with high dispersal.
Several problems arise if niche overlaps are equated with species similarities or interspecific competition coefficients. Niche overlaps based on food types in the diet rely on proportional utilization rates of the different food types. But because proportional utilizations reflect consumer—environment interactions, measures of similarity based on such proportions may reflect similarities between environments rather than similarities between species pairs. Competition coefficients, as derived by MacArthur, weight renewable resources on the basis of their productivity–not their relative abundance. Use of proportional utilization rates intrinsically incorporates relative resource abundance and ignores differences in resource productivity. Thus, equating overlaps based on proportional utilizations with competition coefficients will overestimate the contribution of abundant resources, which will be actually less limiting if they are very productive. These problems are illustrated with the MacArthur—Levin's measure of niche overlap, but the same problems will arise with other measures of overlap. On the other hand, measures of species' similarities which are independent of resource abundance may reflect evolutionary divergence of consumers' resource utilization patterns due to past competitive pressures.
A measure of net interspecific competition is proposed which incorporates both direct and indirect effects between each species pair in a community. Indirect effects of one species on another may be mediated through other species in the community such that changes in the first species induce changes in other species which in turn directly affect the second species. Even in a competitive community these indirect effects are not necessarily always of a competitive nature and may sometimes actually act to oppose the effects of direct competition. Species pairs which are strong competitors in isolation may exhibit little net competition or even appear mutualistic depending on the other species present in the community.An expression for the net competitive effects between species pairs is derived in terms of the elements of the α-matrix representation of the direct competitive effects. Examples calculated from the literature suggest that indirect competitive effects may often act to counterbalance direct competition between otherwise strong competitors in natural communities.
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