The same text is the
Management options tab of the app
(run_app()). The functions behind each option are shown in
vignette("mmsyFM").
This page explains the management options of the app in a real-world context: what each option means, how the model represents it, where it is used in practice, and what to watch for. It applies to any system, whether the Atlantic example, the Gulf of Thailand draft or your own tables.
Mixed fisheries are hard to manage because one fleet, and often one day at sea, catches many species at once. Every measure below is a different answer to the same question: how much fishing, by whom and where, keeps every stock safe while delivering the most food, income or jobs?
| Reference point | Meaning | Use in the app |
|---|---|---|
| Bmsy | Biomass that gives the maximum sustainable yield of a stock | All statistics are relative to it (B/Bmsy) |
| 0.8 Bmsy | FAO threshold: below it a stock is classified as overfished (SOFIA, SDG 14.4.1) | Green target line; statistic P(B > 0.8 Bmsy) |
| Bpa = 0.5 Bmsy | Precautionary biomass: a buffer above the limit | The safeguard of the optimisation; default trigger of the rules |
| Blim = 0.25 Bmsy | Limit below which recruitment and productivity may be impaired | Risk P(B < Blim); the rules reach their minimum effort here |
In practice. ICES and GFCM advice sets the trigger of harvest control rules at Bpa (often called MSY Btrigger) and requires that the risk of falling below Blim is at most 5%. FAO reports stocks below 0.8 Bmsy as overfished. The defaults of the app follow these conventions; all can be changed.
| Objective | Real-world meaning |
|---|---|
| Total yield | Food supply and landings: the multispecies MSY (MMSY) |
| Revenue | Value of the landings at first sale |
| Profit | Revenue minus fishing costs: maximum economic yield (MEY). Usually reached at much lower effort than MMSY, with higher catch rates and lower costs |
| Catch of one stock | Priority to one stock, e.g. a small pelagic that supplies a processing industry, or a high-value or culturally important species |
Whatever the objective, the safeguard is applied: no stock may fall below Bpa at equilibrium. The stock that limits the solution is the choke stock. In mixed fisheries this is often a slow-growing or highly catchable species (e.g. reef fish, sharks, rays), and protecting it costs yield of the healthier stocks caught alongside it.
Single-stock MSYs do not add up. Because stocks are caught together, fishing every stock at its own Fmsy is not possible; the multispecies MSY is lower than the sum of single-stock MSYs.
Most tropical and many mixed fisheries are managed by limiting fishing effort (licences, vessel numbers, days at sea, gear) rather than catches, because catches are hard to monitor across many species and landing sites.
What the model adds. Fishers respond to limits: when a segment’s days are capped, its vessels still choose where to fish by expected profit, and unprofitable vessels stay in port. An effort limit therefore does not reduce fishing mortality equally on all stocks; effort can concentrate on the most valuable grounds, which may be those of the choke stock.
| Setting | Real-world meaning |
|---|---|
| Full effort | Days allowed when stocks are healthy: the safeguarded-MMSY days (recommended), or today’s days. With today’s days as full effort, a stock that recovers is fished back down if the fishery is currently overfished |
| Trigger | Status below which effort is cut. Default 0.5 Bmsy (= Bpa, ICES/GFCM). Can differ by segment, e.g. higher for fleets targeting short-lived small pelagics, whose biomass can drop fast |
| Minimum effort | The rule reduces but does not close a fleet (default 10% of full effort): closing a fleet entirely is rarely acceptable, and some fishing keeps data flowing. 0 allows full closure |
| Maximum annual change | Limits year-to-year changes (default 20%), as for TAC stability clauses. Gives predictability to fishers, at the cost of a slower response |
| Value-weighted or weakest link | How a fleet’s status is formed from the stocks it fishes. Value-weighted (default): the stocks that make up the fishery drive its effort. Weakest link: the most depleted stock decides. This is the “choke species” problem (e.g. the EU landing obligation, ICES mixed-fisheries “min” scenario): the most precautionary option, but with many depleted or slow stocks it can keep fleets at the minimum for decades |
| By-catch responsibility | Whether a fleet is cut for stocks it only catches as by-catch. Off by default: a fleet answers for the stocks it targets |
Assessments are expensive, and in most multispecies fisheries only some stocks are assessed. The rule can only respond to what is assessed.
In the app (tab 5), tick the rules “HCR, indicator
species”, “HCR, species complexes” or “HCR, nominal assignment” next to
the “HCR, value-weighted” rule (all stocks assessed) to see what each
assessment strategy costs or risks, with the same random draws. Defaults
come from the system and can be edited: one indicator per fleet segment
(the stock of highest value to it), the species groups as complexes
(pooled biomass or pooled CPUE), and each stock assigned to the segment
for whose fishery it matters most. The differences show most with the
weakest link, where a complex or a missing assessment can hide the
depleted stock that would otherwise cut effort. In the package:
hcr_effort(assessed =, complexes =, assign =) and
ms_assessment_presets().
Closures act on where and when fishing happens, not on how much.
Displacement. Closed days do not disappear: vessels move to the open metiers by expected profit. A closure can therefore increase pressure on other stocks; the model shows this directly.
| Source | Real-world meaning |
|---|---|
| Data lag | Advice for next year is based on data that are one or two years old (default 2) |
| Assessment error | Estimated status differs from the truth (default CV 0.2) |
| Implementation error | The days fished differ from the days allowed: compliance, enforcement, illegal and unreported fishing |
| Effort noise | Year-to-year variation in fishing behaviour and catch rates |
| Process error | Environmental variability in stock productivity; larger for fast, short-lived stocks and larger at low abundance |
A rule that looks good at equilibrium can fail under these uncertainties. Every rule is therefore run many times with the same random draws, so differences between rules are due to the rules, not to chance.
No rule is best on everything. The decision table and trade-off plots make the choice explicit: how much catch or profit is given up for how much less risk, and which fleets bear the cost.