Data from: Comparing alternative harvest strategies to address robustness to recruitment variability and uncertainty: Implications for Alaska Sablefish tested with management strategy evaluation
Data files
Oct 15, 2025 version files 7.59 GB
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README.md
1.99 KB
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zahneretal2025_mseruns_FINAL2.RDS
7.59 GB
Abstract
Developing robust fisheries management strategies for exploited fish stocks is imperative amid rapid ecosystem changes. In Alaska, sablefish (Anoplopoma fimbria) have recently experienced several large recruitment events, resulting in rapid population growth and a concomitant increase in catch of small, low value fish. Current management may not ensure long-term economic stability nor maintain the age structure diversity necessary for population resilience. Using a management strategy evaluation (MSE) framework, we assessed alternative management strategies under random, regime-like, and recruitment-failure scenarios. Data includes raw simulation output from 200, 75-year long, MSE simulations for all combinations of 10 harvest control rules and 4 recruitment scenarios. Strategies that substantially reduced fishing mortality improved stock size and age diversity. Catch stability constraint strategies provided minimal long-term benefits and increased risk during recruitment collapses, although they slightly accelerated population recovery times. Harvest caps maintained higher population sizes, promoted moderate, consistent catches, and modestly expanded population age structure. However, no strategy prevented population declines under prolonged recruitment failure. Results underscore the importance of refining harvest control rules to better balance catch and population stability.
Dataset DOI: 10.5061/dryad.q2bvq83zv
Description of the data and file structure
This data is generated from an management strategy evaluation (MSE) closed-loop simulation model, built for analyzing the performance of the Alaska Sablefish fishery when managed under 10 different harvest control rule policies, across 4 different future recruitment scenarios.
Files and variables
File: zahneretal2025_mseruns_FINAL2.RDS
Description: Final MSE output data. Data is formatted as an R list object, where each list object corresponds to a single MSE simulation run (1 combination of HCR and OM scenario). Within each list object are the following array objects:
- land_caa: landed catch-at-age (in units of mt)
- disc_caa: discarded catch-at-age (in units of mt)
- caa: total catch-at-age (landed + discarded)
- naa: numbers-at-age
- naa_est: estimated numbers-at-age
- faa: fishing mortality-at-age (as an instantaneous annual rate)
- faa_est: estimated fishing mortality-at-age
- abc: allowable biological catch, the HCR recommended catch level (in units of mt)
- tac: total allowable catch (equivalent to abc, in units of mt)
- exp_land: expected landings (equivalent to tac and abc, in units of mt)
- hcr_f: the HCR recommended total fishing mortality rate
- out_f: total annual fishing mortality
- global_rec_devs: recruitment deviations around stock recruit curve where applicable
Code/software
This data was generated using the SablefishMSE R package, available on Github (doi:10.5281/zenodo.17081421). The package is designed to readily install as a traditional GitHub-based R package would. The script located at dev/zahneretal-2025-mseruns.r is able to replicate the data available here.
