By Regis Ferriere, Ulf Dieckmann, Denis Couvet
As human threats to the Earth's biota span unheard of temporal and spatial scales, it has develop into pressing to combine at present disparate components of conservation biology right into a unified framework. Combining conservation genetics, demography, and ecology, this e-book offers an integrative method of dealing with species in addition to ecological and evolutionary tactics. The contributions are meant for college students, execs, and researchers in conservation biology, ecology, genetics, and evolution.
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Additional resources for Evolutionary Conservation Biology
1998) recently reemphasized that to detect density dependence requires investigation of the response of individual life-history traits to changes in population density. This has been achieved in very few studies as yet. By using individual histories of capture–recapture, Lebreton et al. (1992) found limited evidence for density dependence of survival probabilities in the roe deer (Capreolus capreolus). In contrast, Leirs et al. (1997) found that the population dynamics of a murid rodent pest (Mastomys natalensis) are driven by both density-independent (stochastic) and density-dependent factors, the latter affecting several demographic traits in different ways.
By contrast, external stochastic influences on population dynamics include environmental noise and rare catastrophes. Chapter 2 shows how the type and “color” of stochastic fluctuations interfere with the nonlinear mechanisms of population regulation to shape patterns of population viability and extinction. As few life-history traits are required to parametrize unstructured population models, these models are particularly amenable to mathematical analysis. Such simplification, however, carries the cost of ignoring those life-history traits that govern transitions in a species’ life cycle.
It involves the stochasticity of encounters between individuals that may arise in the random formation of mating pairs or of social groups. In spatially structured populations, migration stochasticity, that is the chance realization of dispersal probabilities, also influences the local population dynamics, whereas the stochasticity of extinction–recolonization processes operate at the regional scale. Extinction–recolonization stochasticity can be regarded as a form of demographic stochasticity that affects patches instead of individuals (see Chapter 4).