Data · dataset · 2026
Joint request from EU and UK on the impacts of different rebuilding harvest control rules (HCRs) for selected depleted stocks caught in mixed fisheries in the Celtic Sea and Eastern Channel
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17895/ices.advice.33980749.v1
<p dir="ltr">A shortcut management strategy evaluation (MSE) was conducted to explore potential rebuilding harvest control rules (HCRs) for five stocks: cod in divisions 7.e–k, haddock in divisions 7.b–k, whiting in divisions 7.b–c and 7.e–k, plaice in Division 7.d, and sole in Division 7.d.
Description
Simulations were conducted to explore the relative short- to medium-term impacts of applying HCRs which differ from the ICES advice rule (AR).
A set of HCRs was evaluated wherein the advised fishing mortality decreased linearly below MSY B<sub>trigger</sub>, with the same slope as the ICES AR, but when advised fishing mortality reached a specific value (F<sub>min</sub>), the advised fishing mortality was kept constant at this value up to spawning stock biomass (SSB) = 0. Different levels of minimum fishing mortality (F<sub>min</sub>) were tested. The HCRs were evaluated under two alternative stock productivity scenarios, low and medium, with the low-productivity scenario considered the most plausible assumption for the medium term.</p><p dir="ltr">Results indicated that rebuilding prospects vary substantially between stocks and depend strongly on assumed future recruitment levels, with more precautionary HCRs generally improving recovery outcomes at the cost of reduced short-term fishing opportunities:</p><p dir="ltr"><b>Cod in divisions 7.e–k (western English Channel and southern Celtic Seas):</b> Under the low-recruitment scenario, all HCRs are projected to increase SSB above B<sub>lim</sub> and MSY B<sub>trigger</sub> in the medium term, although this outcome is highly dependent on the assumed stock–recruitment relationship.
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Biomass increases under all HCRs after an initial decline, while catches are expected to decrease in 2027–2028 before recovering.</p><p dir="ltr"><b>Haddock in divisions 7.b–k (southern Celtic Seas and English Channel)</b>: Continued low recruitment is projected to prevent stock rebuilding, with median SSB remaining below B<sub>lim</sub> under all HCRs throughout the simulation period. Catches are expected to decline to very low levels, and even the most precautionary HCRs only produce modest biomass increases.</p><p dir="ltr"><b>Whiting in divisions 7.b–c and 7.e–k (southern Celtic Seas and western English Channel)</b>: All HCRs result in moderate increases in SSB during the first decade, but none rebuild the stock above B<sub>lim</sub>.
More precautionary HCRs provide the highest probability of stock improvement, while catches are projected to decrease initially and recover only moderately thereafter.</p><p dir="ltr"><b>Plaice in Division 7.d (eastern English Channel)</b>: SSB is projected to increase above B<sub>lim</sub> within 2–3 years under all HCRs, although higher F<sub>min </sub>values slow this increase. However, none of the HCRs are expected to rebuild the stock to MSY B<sub>trigger</sub>.</p><p dir="ltr"><b>Sole in Division 7.d (eastern English Channel)</b>: All HCRs are projected to increase SSB above B<sub>lim</sub> in the medium term, with faster increases occurring under lower F<sub>min</sub> values.</p><p dir="ltr">None of the HCRs rebuild the stock to MSY B<sub>trigger</sub>, and the results reveal a trade-off between larger short-term catch reductions and improved long-term stock status and catches.
Compared to a full MSE, shortcut MSEs have inherent limitations because of simplified assumptions regarding assessment model error as well as observation error. Uncertainty about these errors may have a substantial effect on the estimated probabilities, including the probability of SSB falling below B<sub>lim</sub>, but will generally have less effect on trends and median values. There are also uncertainties about modelling productivity realistically for these stocks, and this should ultimately be explored more thoroughly through a full reference set of operating models to find HCRs that are robust to these uncertainties.
The results from these evaluations should not be considered predictions for the future. Rather, these analyses are an intermediate step between a short-term forecast (as done by ICES to provide annual catch advice) and full MSE. Results are sufficient to draw comparisons between alternative HCRs and can be used to guide decisions on interim measures until a full MSE can be conducted.</p><p><br></p>
Links
Where it is published
- DOI doi.org/10.17895/ices.advice.33980749.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Ocean & Atmospheric Science · Ocean & Atmospheric Science · Ocean & Atmospheric Science
- Inferred from text
- Aquaculture and fisheries stock assessment 76% · Simulation 75%
Provenance · 3 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/33980749 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/33980749 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/33980749 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:300502 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |