Suraj,

You may find these two recent papers of interest. The reference sections are full of good links to other relevant studies.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12318

Article FISHERY STOCK ASSESSMENT OF MEGALASPIS CORDYLA BY USING NON-...

Cheers,

Tomas

See the LBB method of Froese et al. 2018 and Froese et al. 2019 published in ICES journal

See also the project TropFishR of MarcTaylor and Tobias Mildenberger

https://www.researchgate.net/project/TropFishR

Good luck

Recommend Zakia's responses. Here is the link to TropFishR: https://github.com/tokami/TropFishR

Froese et al. 2018: http://wormlab.biology.dal.ca/publication/view/froese-r-winker-h-coro-g-demirel-n-tsikliras-ac-dimarchopoulou-d-scarcella-g-probst-wn-dureuil-m-pauly-d-2018-new-approach-for-estimating-stock-status-from-length-frequency-data/

Froese et al. 2019 with a reply on criticism of a pile-up effect: https://s3-us-west-2.amazonaws.com/legacy.seaaroundus/researcher/dpauly/PDF/2019/Journal+Articles/Froese+et+al.+On+the+pile-up+effect+and+priors+ICES.pdf

another paper has just been accepted before X-mas but is not yet available online

Training materials from the recent Dakar workshop for the Sub-Regional Fisheries Commission is here: https://www.q-quatics.org/cmsy-workshop-in-dakar-senegal/

What matters most is what kind of data you have available. A recent evaluation of length-based methods can be found in https://academic.oup.com/icesjms/advance-article/doi/10.1093/icesjms/fsz212/5621359

If you have a decent index of abundance in biomass, JABBA is worth a look: Article JABBA: Just Another Bayesian Biomass Assessment

Thanks a lot @Iago , @Cornelia , @ Zakia , @Tomas for the information, and it's very much useful for me.

Hi Suray,

You may also want to have a look at our recently published AMSY (Abundance- MSY) method for "Estimating stock status from relative abundance and resilience" in data-poor situations where you have a reasonable index of abundance (e.g. trawl surveys, CPUE) but no or incomplete catch data.

https://academic.oup.com/icesjms/advance-article-abstract/doi/10.1093/icesjms/fsz230/5682447)

https://github.com/SISTA16/amsy

Thanks a lot @HENNING SIR

Hi Suraj

I agree with Henning, you can try out two data-limited modeling approaches such as CMSY( Catch-MSY) and AMSY (Abundance-MSY). Both of these methods provide reliable estimates of reference points by using resilience priors.

Hi Suraj

I recommend you to use package on R, it called TropFishR like someone menroom earlier.

especially for poor-data collection in tropics you can use length-weight based estimation for population. Through it you can also estimate the exploitation rate and growth for Fish.

for growth you can use VGBM package, available on R Core time software too, and you can use LBB method.

yeah for sure I recommend you to use R tool if you have a huge data, because that software is helpful and awesome.

good luck!

Length-based methods are very useful when reliable catch data are not available. Simple empirical indicators provide a starting point, but models such as LB-SPR (Hordyk et al. (2015) https://academic.oup.com/icesjms/article/72/1/217/815772

can now be applied to gillnet and hook data

Article Dome-shaped selectivity in LB-SPR: Length-Based assessment o...

and support the use of management reference points.

A stock assessment is the process of collecting, analyzing, and reporting demographic information to determine changes in the abundance of fishery stocks in response to fishing . Analysis of catch-at-age data;& simple models of biomass dynamics will be useful.