Matrix Population Models: Construction, Analysis, and Interpretation

By Dmitrii O. Logofet. 2002

1,978 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/05249506b9d92912061a85f53fdeb9b83fe13c46

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In Management Science and Operations Research

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Citations in the corpus

Long‐term spatial dynamics of Succisa pratensis in a changing rural landscape: linking dynamical modelling with historical maps (2006, methodology): “To initialize the size structure, the numbers of plants were recalculated to the long-term average of the stage structure assuming stochastic matrix dynamics with all matrices of the good patches included with the same probability (Caswell 2001).”
Evaluating the Effectiveness of Predator Control: the Non‐Native Red Fox as a Case Study (2001, methodology): “Sensitivities reflect the effect of the absolute change in a parameter on the growth rate, whereas elasticities show the effects of proportional change in parameters on , facilitating comparisons of different vital rates (Caswell 1989).”
Discussion comments on: 'Approaches for the direct estimation of u and demographic contributions to u using capture-recapture data' (2002, background): “Caswell (1989) and Renshaw (1991) have both cautioned against making prospective inferences from a single realization of the dynamics of a population; analysis of what has happened (retrospective) may not necessarily be informative about the future behaviour of a population.”
LIFE HISTORY STRATEGIES IN EXTREME ENVIRONMENTS: COMPARATIVE DEMOGRAPHY OF ARCTIC AND ALPINE PTARMIGAN (2005, background): “…95% percentiles 5 F[2F (F ) 6 1.96] where F is the normal cumulative distribution, F21 is the inverse normal cumulative distribution, F is the fraction of bootstrap values smaller than the observed mean, and 1.96 is the critical value for 95% confidence intervals (Caswell 2001).”
What Is Missing in Amphibian Decline Research: Insights from Ecological Sensitivity Analysis (2002, methodology): “Specifically, when is a linear function of vital rates, r 2 is approximated by the product of elasticity squared and the proportional variance of a vital rate when vital rates vary independently ( Wisdom & Mills 1997; Caswell 2000 b ).”
Determinants of reproductive costs in the long-lived Black-legged Kittiwake: A multiyear experiment (2004, background): “…long-lived species balance reproduction and self-maintenance under variable environmental conditions is critical to population modeling, as the patterns of variance in survival and fecundity (embedded within constant averages) influence the rates at which populations grow or decline (Caswell 2001).”
Life table response experiment analysis of the stochastic growth rate (2010, background): “Given the proper interaction between environmental states and the stage structure, autocorrelation can have dramatic impacts on the growth rate (Caswell 2001, Example 14.1).”
The demographic consequences of releasing a population of red deer from culling (2004, neutral): “An elasticity or sensitivity is speciﬁc to an individual matrix with its own growth rate, (cid:108) (Caswell 2001).”
Impacts of fisheries bycatch on loggerhead turtles worldwide inferred from reproductive value analyses (2008, methodology): “Incorporating this life-history information into deterministic matrix models allows estimation of asymptotic population growth rates ( λ ), as well as stable age distributions and age- or stagespecific reproductive values (Caswell 2001).”
Demographic Viability of a Relict Population of the Critically Endangered Plant Borderea chouardii (2003, methodology): “So, although the possibility of pollen limitation has not been tested experimentally, population dynamics may be assumed to be governed by the availability and reproductive success of females, therefore allowing for the use of this single-sex model (Brook et al. 2000; Caswell 2001).”
Predicting differential effects of climate change at the population level with life‐cycle models of spring Chinook salmon (2007, methodology): “…project the age structure of each of the four populations through time as the vector n(t), using a stochastic transition matrix A(t) as described by Caswell (2001): nðtþ 1Þ ¼ AðtÞ nðtÞ: ð1Þ Our matrix includes survival probabilities, s, a fertility function F, and the propensity to breed at a…”
Comparative population demography of elasmobranchs using life history tables, Leslie matrices and stage-based matrix models (2002, methodology): “Brault and Caswell (1993) and Caswell (2001) used the geometric distribution for Orcinus orca with good results, although the stages are, as in elasmobranchs, groups of age classes.”
Fish predation and trapping for rusty crayfish (Orconectes rusticus) control: a whole-lake experiment (2006, neutral): “Lorman observed a 50:50 sex ratio, so we halved the number of juveniles per female to obtain the fertility of each individual in the population (Caswell 2001).”
The time for sex: A biennial life cycle in a marine planktonic diatom (2010, methodology): “Conceptual models of the population dynamics of multicellular organisms are strongly grounded in life cycle processes, which determine the spatial and temporal structure of natural populations (Caswell 2001).”
POPULATION VIABILITY ANALYSIS IN ENDANGERED SPECIES RECOVERY PLANS: PAST USE AND FUTURE IMPROVEMENTS (2002, background): “Such structured models allow more detailed analysis of critical life stages or demographic processes that are potential targets for management (Caswell 2001), but they require data on stage-specific fecundity rates, stage-specific mortality rates, and the current stage structure of the population…”