Closed 870627 closed 3 years ago
Hi
Are you using the LeMaRns example with only 3 species? This took a day or so to do. However, the Celtic Sea mizer model took about a month.
Cheers Mike
Thanks. There is a uncertain parameters in the LeMaRns model: the recruitment parameter b, which is often referred to as the density-dependent part of the hockey-stick recruitment curve. I'd like to ask you how to obtain the recruitment parameter b.
This is often done by calibration, although other sources could be used, e.g. from stock-assessments. These references may help:
S2 in https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227767
Supplementary 1 in https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12543
We will be publishing this soon that may also help: https://www.frontiersin.org/articles/10.3389/fmars.2021.700534/abstract
I read the paper “LeMaRns: A Length-based Multi-species analysis by numerical simulation in R”, and there is a supplementary file S3, titled “Fitting the North Sea LeMans model to survey and landings data”. Before calibration, the recruitment parameter b defined in “Evaluation and management implications of uncertainty in a multispecies size-structured model of population and community responses to fishing” can be found in orig_NS_par. I still don't quite understand how to get the specific value of b in orig_NS_par.
Hello
I'm using the LeMaRns model and there is a supplementary file S3, titled “Fitting the North Sea LeMans model to survey and landings data”. Before calibration, the recruitment parameter b can be found in orig_NS_par. But how to get the b value before calibration?
orig_NS_par
I believe the parameters b are from the Thorpe et al. 2015 paper: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12292
There's no need to know b
prior to calibration. Initial screening of the parameters should give reasonable initial values. See
https://www.frontiersin.org/articles/10.3389/fmars.2021.700534/full
and
faf12543-sup-0001-Supinfo.pdf found here:
https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12543
Particularly have a look at the figure at the top of page 7.
I want to know whether the parameters b is the inflection point of the hockey-stick spawner–recruit relationship. And is there a unit about the parameters b?
In the hockey-stick spawner-recruit relationship b is the density dependent parameter. See the help files for rec_hockey
, rec_const
, rec_BH
, rec_linear
, and rec_Ricker
as well as the other recruitment functions as well as the vignette.
When estimating Uncertain parameters by fitting the model, after setting the number of iterations of 5000, it takes me a month to run. I wonder if this is normal.