Incorporating Uncertainty into Demographic Modeling: Application to Shark Populations and Their Conservation

By E. Cortés. 2002

438 citations recorded by the source corpus.

Subfields: Aquatic Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/c7a4b538bafc713178e83e0d5a7809a5dd666871

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In Aquatic Science

In Nature and Landscape Conservation

Citations in the corpus

Post-release survival of juvenile silky sharks captured in a tropical tuna purse seine fishery (2015, background): “Furthermore, population demographic analyses have shown that high mortality on the juvenile life stages of elasmobranchs has the most profound effect on silky shark population growth or decline (Cortes 2002, Beer kircher et al. 2003, Román-Verdesoto 2014).”
A method for evaluating the impacts of fishing mortality and stochastic influences on the demography of two long-lived shark stocks (2007, methodology): “As suggested by Cortés (2002) and Beerkircher et al. (2003), live weight was used instead of dry weight for the Peterson and Wroblewski (1984) method, because the latter resulted in inconsistently high estimates of Mwt. Live weight-at-age was estimated from each species’ mean length-at-age…”
Inferring shark population trends from generalized linear mixed models of pelagic longline catch and effort data (2010, background): “Although frustrating that trends generally cannot be estimated from fishery-dependent data for individual Carcharhinus species, assessments that do so (e.g. Cortés et al., 2006), ignoring the propensity for fishermen and observers alike to misidentify these species, may produce biased results.”
Vulnerability of oceanic sharks as pelagic longline bycatch (2014, methodology): “Despite the relatively high fecundity of the scalloped hammerhead (Cortés, 2000, 2002), its slow attainment of maturity and low survival render it more vulnerable to bycatch (Table 2, Fig.”
Maximum intrinsic rate of population increase in sharks, rays, and chimaeras: the importance of survival to maturity (2016, positive): “Sensitivity analyses of age-and stage-structured models show that juvenile survival is a key determinant of population growth (λ), especially for species with low rmax (Cortés, 2002; Frisk et al., 2005; Kindsvater et al., 2016).”
Capture time, size and hooking mortality of bottom longline-caught sharks (2010, background): “Demographic modeling of sandbar sharks (Cortés, 1999; Brewster-Geisz and Miller, 2000) and several species of large coastal sharks (Cortés, 2002) have shown that juvenile survivorship is the main factor affecting population growth rates, and thus protection of the juvenile stages may be an effective”
Estimating the rate of quasi-extinction of the Australian grey nurse shark (Carcharias taurus) population using deterministic age- and stage-classified models (2004, background): “Our conclusions agree with previous attempts at modelling C. taurus or other carcharhinid populations elsewhere (Heppell et al., 1999; Cort es, 2002; Mollet and Cailliet, 2002).”
Nursery habitat use and foraging ecology of the brown stingray Dasyatis lata determined from stomach contents, bulk and amino acid stable isotopes (2011, neutral): “…· Ontogenetic shift · Resource partitioning Resale or republication not permitted without written consent of the publisher Mar Ecol Prog Ser 433: 221–236, 2011 Cortés 2002), identification of nursery habitats and knowledge of the trophic ecology and habitat use of juvenile fishes within these…”
Evaluating catch and mitigating risk in a multispecies, tropical, inshore shark fishery within the Great Barrier Reef World Heritage Area (2011, background): “small, medium, large), the underlying concept of a life-history continuum, ranging from ‘slow’ to ‘fast’ species (Cortes 2002), has important implications in terms of simplifying management of multispecies fisheries.”