2020
DOI: 10.1002/ece3.6252
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Implications of life history uncertainty when evaluating status in the Northwest Atlantic population of white shark (Carcharodon carcharias)

Abstract: To effectively protect at‐risk sharks, resource managers and conservation practitioners must have a good understanding of how fisheries removals contribute to changes in abundance and how regulatory restrictions may impact a population trajectory. This means they need to know the number of animals being removed from a population and whether a given number of removals will lead to population increases or declines. For white shark (Carcharodon carcharias), theoretical quantities like the intrinsic rate of popula… Show more

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Cited by 21 publications
(13 citation statements)
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References 58 publications
(148 reference statements)
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“…Catches of white shark and other shark species are only recently increasing year‐on‐year (Department of Primary Industries, 2019) following long term declines over 80 years of the bather‐protection program along the east coast of Australia, which has been lethal for sharks despite catch‐and‐release programs (Roff et al., 2018). The recent modeling of the recovery of the North West Atlantic white shark population provides a useful principal in this regard; “every fish counts” (Bowlby & Gibson, 2020, p.9).…”
Section: Discussionmentioning
confidence: 99%
“…Catches of white shark and other shark species are only recently increasing year‐on‐year (Department of Primary Industries, 2019) following long term declines over 80 years of the bather‐protection program along the east coast of Australia, which has been lethal for sharks despite catch‐and‐release programs (Roff et al., 2018). The recent modeling of the recovery of the North West Atlantic white shark population provides a useful principal in this regard; “every fish counts” (Bowlby & Gibson, 2020, p.9).…”
Section: Discussionmentioning
confidence: 99%
“…In all, there was fair correspondence with rates derived from life history for both species, even though our data came primarily from juvenile animals. Estimates of M based on age and growth parameters, maturity, and longevity most often yield a single value, and variability is generated by applying different types of estimators (e.g., Cortés, 2002Cortés, , 2016 or by allowing for variability in longevity when using a single estimator (e.g., Bowlby and Gibson, 2020). Using the Then et al (2015) suite of estimators based on longevity and growth data, M ranged from 0.081 to 0.267 for porbeagle and from 0.068 to 0.318 for shortfin mako for males and females combined.…”
Section: Discussionmentioning
confidence: 99%
“…We adapted the simulation model described in Bowlby and Gibson (2020) to characterize productivity and predict how varying levels of incidental mortality may influence abundance trends. The first component of this model is a life table analysis describing population productivity, which was used to determine the intrinsic rate of population growth (r) from demographic information (Mollet and Cailliet, 2002;Corteś, 2016).…”
Section: Simulation Approachmentioning
confidence: 99%