Journal
ECOLOGICAL MODELLING
Volume 198, Issue 1-2, Pages 23-39Publisher
ELSEVIER
DOI: 10.1016/j.ecolmodel.2006.04.001
Keywords
demography; elasticity analysis; life history; matrix population models; partial life cycle models
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Population growth rate is a function of several life-history variables, which differ in their potential influence on population dynamics. Knowledge of the relative importance of these life-history variables can have implications for ecological and evolutionary theory as well as the conservation of endangered species. We used life-history data for 155 populations of birds to estimate asymptotic growth rate (gimel) and elasticity of gimel to changes in four life-history variables: age at maturity (alpha), juvenile survival (P-j), adult survival (P-a), and mean fertility (F). Elasticities were used to quantify relative importance, and to test predictions regarding the pattern of relative importance. Neither a nor any other single life-history variable was most influential in all populations, but Pa had the largest relative influence on gimel in 53.5% of the populations. Several metrics (gimel/alpha, gimel/P-a, F/alpha, m/alpha, and two estimates of generation time: (A) over bar and T) were strongly correlated with elasticities, suggesting that these metrics may be useful predictors of the pattern of relative importance. In general, reproductive parameters (alpha and F) were most important in populations that matured early and had high reproductive rates, whereas survival parameters (P-j and P-a) were most important in populations that matured late and had low reproductive rates, consistent with earlier research in other taxa. Metrics that require minimal data and have strong predictive power (e.g. the m/alpha ratio) should be useful in devising conservation plans for those species that lack detailed demographic data. (c) 2006 Elsevier B.V. All rights reserved.
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