LIFE HISTORIES AND ELASTICITY PATTERNS: PERTURBATION ANALYSIS FOR SPECIES WITH MINIMAL DEMOGRAPHIC DATA

By S. Heppell, Hal Caswell, LB Crowder. 2000

634 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b3c9081d22abb8c2b78d61ce581583ab7201baec

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Citations in the corpus

General guidelines for invasive plant management based on comparative demography of invasive and native plant populations (2008, background): “These general patterns for native plants are consistent with those for animal taxa, such as birds (Saether & Bakke 2000) and mammals ( Heppell, Caswell & Crowder 2000 ).”
Can life‐history traits predict the response of forb populations to changes in climate variability? (2010, unknown): “Our first question concerns the basic demography of these ten species: Is survival or recruitment most influential for population growth? We hypothesized that the relative importance of survival and recruitment to population growth should be related to life history: species with shorter generation t”
Temporal Variation in Fitness Components and Population Dynamics of Large Herbivores (2000, background): “Demographic analyses reveal that the elasticity of adult survival is at least threefold higher than that of juvenile survival or of fecundity rates (48, 83, 132, 187).”
Life Stage Simulation Analysis: Estimating Vital-Rate Effects on Population Growth for Conservation (2000, background): “Consequently, matrix population models are a primary means of assessing population viability for many species of concern (Burgman et al. 1993, Mills et al. 1996, Heppell et al. 2000).”
Modelling demography and extinction risk in the endangered Balearic shearwater (2004, background): “Even though some parameters (such as age at first reproduction) had an unknown degree of uncertainty, recent studies indicate that additional age structure in matrix models has little influence on either population growth rate or perturbation analyses (Heppell et al., 2000; Caswell, 2001; Yearsley a”
Research Priorities to Support Effective Manta and Devil Ray Conservation (2018, background): “Matrix models are a common tool for population viability analysis, and can be particularly useful in data-poor scenarios that are common among mobulid rays (Heppell et al., 2000).”
Comparative population demography of elasmobranchs using life history tables, Leslie matrices and stage-based matrix models (2002, methodology): “First, we used the simplified age-structured model introduced by Heppell et al. (2000a) in which all the adult age classes are combined into one stage, but we used a post-breeding census.”
The roles of body size and phylogeny in fast and slow life histories (2009, background): “…‘‘fast’’ and ‘‘slow’’ in both ways (e.g. Sæther 1987; Read and Harvey 1989; Blackburn 1991; Ricklefs 2000; Fisher et al. 2001; Oli 2004), and still others do not mention body size (e.g. Loehle 1988; Franco and Silvertown 1996; Heppell et al. 2000; Sæther and Bakke 2000; Bennett and Owens 2002).”
Habitat triage for exploited fishes: Can we identify essential “Essential Fish Habitat?” (2005, background): “In the worst case, knowing only average adult survival, age at maturity, and an estimate of l, it is possible to calculate elasticities of adult and juvenile stages (Heppell et al., 2000).”
Which community indicators can measure the impact of fishing? A review and proposals (2003, background): “can be estimated knowing only Z, F, , and (Heppel et al. 2000).”
Why study bycatch? An introduction to the Theme Section on fisheries bycatch (2008, background): “However, given the life history characteristics of most marine megafauna (slow growth, low reproductive rates, high adult survival), relatively low levels of bycatch can have a large effect on population viability (Heppell et al. 2000).”