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(1993), and Remmert (1994) provided a historical perspective of how the field
developed. In this chapter I discuss procedures to develop useful viability
analyses. Specifically, statistical methods to estimate the variance components
needed to develop a PVA, the need to incorporate individual heterogeneity
into a PVA, and the need to incorporate the sampling variance of parameter
estimates used in a PVA are discussed.
Qualitative Observations About Population Persistence
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Qualitatively, population biologists know a considerable amount about what
allows populations to persist. Some generalities about population persistence
(Ruggiero et al. 1994) are as follows:
Connected habitats are better than disjointed habitats.
• Suitable habitats in close proximity to one another are better than widely
separated habitats.
Late stages of forest development are often better than younger stages.
Larger habitat areas are better than smaller areas.
• Populations with higher reproductive rates are more secure than those with
lower reproductive rates.
• Environmental conditions that reduce carrying capacity or increase vari-
ance in the growth rates of populations decrease persistence probabilities.
This list should be taken as a general set of principles, but you should rec-
ognize that exceptions occur often. In the following section, I discuss these
generalities in more detail and suggest contradictions that occur.
GENERALITIES
Typically, recovery plans for an endangered species try to create multiple pop-
ulations of the species, so that a single catastrophe will not wipe out the entire
species, and increase the size of each population so that genetic, demographic,
and normal environmental uncertainties are less threatening (Meffe and Car-
roll 1994). However, Hess (1993) argued that connected populations can have
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