PROSPECTIVE AND RETROSPECTIVE PERTURBATION ANALYSES: THEIR ROLES IN CONSERVATION BIOLOGY

By Hal Caswell. 2000

503 citations recorded by the source corpus.

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Citations in the corpus

NITROGEN DEPOSITION AND EXTINCTION RISK IN THE NORTHERN PITCHER PLANT, SARRACENIA PURPUREA (2002, background): “Without a long-term forecasting model and a pro- spective analysis (Caswell 2000), it may be difficult to recognize the potential risk of extinction for slowgrowing populations.”
Parameter uncertainty and elasticity analyses of a population model: setting research priorities for shearwaters (2000, methodology): “Elasticity analyses only identify what the potential effect of a change in parameter levels is on model output (Caswell, 2000; de Kroon et al., 2000; Wisdom et al., 2000).”
AVIAN LIFE HISTORY VARIATION AND CONTRIBUTION OF DEMOGRAPHIC TRAITS TO THE POPULATION GROWTH RATE (2000, methodology): “…in juvenile survival rates, compared to the variation in adult survival rates (J.-M. Gaillard and H. G. Yoccoz, unpublished manuscript) It is important to distinguish between two different approaches that can be taken to demographic perturbation analysis (Caswell 1997, 2000, Horvitz et al. 1997).”
Risk-taking behavior, urbanization and the pace of life in birds (2018, background): “Consequently, we empirically defined the fast-slow continuum as the combination of life history traits that better predicts the relative sensitivity (i.e., elasticity) of population growth to changes in adult survival (Caswell 2000; Oli and Dobson 2003; Oli 2004).”
Habitat triage for exploited fishes: Can we identify essential “Essential Fish Habitat?” (2005, methodology): “Using red drum, Sciaenops ocellatus (Sciaenidae) as a model species, we (1) develop a stage-structured matrix model (Caswell, 2000a); (2) use the model to identify sensitive life history stages; and (3) determine what habitats, if any, are important to these stages.”
Managing threatened species: the ecological toolbox, evolutionary theory and declining-population paradigm (2004, background): “The use of demographic models in conservation has promoted considerable recent debate (Ludwig 1999; Mills, Doak & Wisdom 1999, 2001; Caswell 2000; Wisdom, Mills & Doak 2000; Coulson et al .”
Land sharing is essential for snow leopard conservation (2016, background): “…long-term population viability will be determined by: (1) the key drivers of population growth (survival and fecundity), which are a function of habitat quality, including human factors, and (2) stochastic population extinction risk, which will be a function of population size (Caswell, 2000).”
Comparative population demography of elasmobranchs using life history tables, Leslie matrices and stage-based matrix models (2002, methodology): “A matrix model is also more suitable to deal with stochastic models, density-dependent models, and life-table response experiments (retrospective analysis) (Caswell 2000).”
Influence of harvesting pressure on demographic tactics: implications for wildlife management. (2011, methodology): “We performed a prospective perturbation analysis to assess the functional dependence of k on variations in demographic parameters and a retrospective perturbation analyses to quantify relative contributions of changes in demographic parameters to variation in k (Caswell 2000).”
Population growth rate of a common understory herb decreases non-linearly across a gradient of deer herbivory (2009, background): “Elasticities identify the parameters in which proportional changes will have the largest impacts on l, and can therefore be used to pinpoint stages that are potential targets for conservation efforts (Crouse et al., 1987; Caswell, 2000, 2001; Morris and Doak, 2002; Beissinger and McCullough, 2002)”
Decomposing the variation in population growth into contributions from multiple demographic rates (2005, methodology): “Although this result is not surprising − there is no a priori expectation for a demographic rate to be strongly associated with both the mean (the prospective matrix method) and the variance (the retrospective matrix method) of a time-series of population growth − some conservation managers may cons”