A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks
By Adrian R. Hordyk, K. Ono, J. Prince, Carl J Walters. 2016
111 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/2fe5785788879a7d33b36d4389ea638907ff8c77
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Marc H. Taylor
- T. Mildenberger
- R. Froese
- Daniel Pauly
- Gianpaolo Coro
- H. Winker
- M. Wolff
- Nazli Demirel
In Nature and Landscape Conservation
- Marc H. Taylor
- T. Mildenberger
- Daniel Pauly
- R. Froese
- Gianpaolo Coro
- H. Winker
- M. Wolff
- Nazli Demirel
Citations in the corpus
- 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).”
- TropFishR: an R package for fisheries analysis with length‐frequency data (2017, methodology): “…fisheries are available, such as DLMtool (Carruthers & Hordyk 2016), offering a management strategy evaluation framework, s6model (Kokkalis et al. 2015), offering a lengthbased assessment model, or LBSPR (Hordyk et al. 2016), offering a length-based version of the spawning potential ratio method.”