Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio

By Adrian R. Hordyk, K. Ono, K. Sainsbury, N. Loneragan, J. Prince. 2015

221 citations recorded by the source corpus.

Subfields: Aquatic Science, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/63f2d618e039ea402e1f36f65b0852ab94770589

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In Aquatic Science

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries (2015, background): “…parameters are based on (I) sand sole (P. melanostictus) (Pearson and Mcnally, 2005); (II) Puget Sound rockfish (S. emphaeus) (Beckmann et al., 1998); (III) yellowtail flathead (P. endrachtensis) (Coulson et al., 2007); and (IV) Pacific saury (C. saira) (Hughes, 1974; Watanabe et al., 1988).”
On the pile‐up effect and priors for Linf and M/K: response to a comment by Hordyk et al. on “A new approach for estimating stock status from length frequency data” (2018, background): “On the variability of M/K Hordyk et al. (2019) claim that Froese et al. (2018) misrepresent the analysis of potential M/K values in Hordyk et al. (2015).”
An evaluation of an iterative harvest strategy for data-poor fisheries using the length-based spawning potential ratio assessment methodology (2015, methodology): “The M/k ratio is a major determinant of the shape of the unfished size composition in populations under equilibrium (Hordyk et al., 2014a,b; Prince et al., 2014), and the biological parameters for the MSE were based on three species that covered a range of M/k ratios (Table 1): (i) Pacific mackerel…”
A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks (2016, methodology): “325 Four sets of equilibrium size distributions, representing the four different life history 326 types (Table 1), were generated with both the LB-SPR model (Hordyk et al. 2015b, 2015c) 327 and the GTG LB-SPR model.”