Modeling Demographic Processes in Marked Populations 2009
DOI: 10.1007/978-0-387-78151-8_19
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Stochastic Variation in Avian Survival Rates: Life-History Predictions, Population Consequences, and the Potential Responses to Human Perturbations and Climate Change

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Cited by 13 publications
(21 citation statements)
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“…Contrary to this theory, we found that although postfledging survival rates exhibited high sensitivity and elasticity values; they also exhibited high process variation and thus contributed the most to past changes in λ. The overall mean estimate of λ was ~ 1.0; indicating population stability during our study period and that departure from the demographic buffering life history strategy is not due to a case of maladaptation to the contemporary environment (Schmutz 2009). Rather, sage-grouse may exhibit a life history that is intermediate on the slow-fast continuum, where female survival is important and lability in related traits allows them to exploit opportune environments (Koons et al 2009), and survive at rates that, on average, are higher than most other galliformes, (Johnsgard 1983, Madge andMcGowan 2002), but are also sensitive to poor environmental conditions.…”
Section: Discussionmentioning
confidence: 74%
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“…Contrary to this theory, we found that although postfledging survival rates exhibited high sensitivity and elasticity values; they also exhibited high process variation and thus contributed the most to past changes in λ. The overall mean estimate of λ was ~ 1.0; indicating population stability during our study period and that departure from the demographic buffering life history strategy is not due to a case of maladaptation to the contemporary environment (Schmutz 2009). Rather, sage-grouse may exhibit a life history that is intermediate on the slow-fast continuum, where female survival is important and lability in related traits allows them to exploit opportune environments (Koons et al 2009), and survive at rates that, on average, are higher than most other galliformes, (Johnsgard 1983, Madge andMcGowan 2002), but are also sensitive to poor environmental conditions.…”
Section: Discussionmentioning
confidence: 74%
“…Alternatively, a species may exhibit demographic lability to fluctuating environmental conditions if the benefits of booms in demographic performance outweigh the busts (Koons et al 2009). Long-lived animals tend to exhibit demographic buffering (Gaillard et al 2000, Gaillard and Yoccoz 2003, Schmutz 2009), but little is known about species such as sagegrouse, which may be intermediate on the slowfast life history continuum (Koons et al 2014). As such, it is difficult to make predictions based on theory as to which vital rates should most influence sage-grouse population dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…The restructuring of zooplankton communities associated with changes in the North Atlantic current system (Hurrel 2000) may therefore directly affect little auk food availability, and this could have an effect on adult survival. Even a small change in adult survival will have a large effect on the population size of long-lived species (Doherty et al 2004), and a high variability in survival rates is also expected to decrease long-term population growth rates (Schmutz 2009). …”
Section: Resultsmentioning
confidence: 99%
“…Variation in survival is unknown due to sparse data. Variability in survival and reproductive rates is important to consider because heightened variation tends to depress population growth rates (Schmutz, 2009). Thus, with respect to variability in real vital rates, this deterministic modeling effort may slightly overestimate population viability of yellowbilled loons.…”
Section: Simulated Harvest Scenariosmentioning
confidence: 99%