AI Shifting Baselines Syndrome

What can you tell me about shifting baselines syndrome as it applies to fishery management?

Shifting baseline syndrome (SBS)** is the tendency for each generation of scientists, managers, and fishers to treat the stock sizes and ecosystem conditions they first encounter as “normal,” even when those conditions already reflect decades or centuries of depletion. Daniel Pauly named it in a 1995 essay in Trends in Ecology & Evolution, arguing that fisheries science incrementally ratchets expectations downward and therefore sets inadequate reference points. (LINK)

The result is not just nostalgia. It systematically distorts status assessments, recovery targets, and what counts as a “healthy” fishery.

 How it shows up in management

Most modern assessments begin when systematic data collection started—often mid-20th century or later. By then many stocks had already been heavily fished. Managers then treat that depleted state as the implicit virgin biomass (\(B_0\)) or use it to calculate \(B_{MSY}\). Recovery plans therefore aim for a fraction of historical abundance and still call the result success. (LINK)

Recent reconstructions illustrate the scale of the mismatch. Models that incorporate earlier landings for Atlantic cod, Atlantic halibut, and menhaden suggest contemporary reference points can underestimate historical biomass by roughly an order of magnitude. Truncating time series in stock assessments produces the same bias: shorter series make current biomass look closer to “target” than a longer historical view would. (LINK)

Canada’s Sustainable Fisheries Framework has been criticized on exactly these grounds: its “healthy / cautious / critical” zones are defined relative to \(B_{MSY}\) estimated from recent data, so a stock can sit in the “healthy” zone while remaining far below pre-industrial levels. (LINK)

 Evidence from fishers and other records

Quantitative surveys of fishers show the generational drop in memory. In Mexico’s Gulf of California, older fishers named five times as many formerly abundant species and four times as many productive sites as younger fishers, and reported catching up to 25 times as many Gulf grouper on their best days. Trophy-fish photographs from the Florida Keys show a ~90% drop in average weight over about 50 years. Similar patterns appear in reconstructions of Irish Sea fisheries, snapper in eastern Australia, and many others. (LINK)

Not every local study finds strong SBS; a recent comparison of Barcelona fishers’ perceptions with scientific assessments found little discrepancy. That does not erase the broader pattern, but it shows the syndrome is not automatic and can be weaker where memory, data, and conversation remain connected. (LINK)

 Why it matters for policy

– Recovery targets become unambitious by construction.

– “Fishing down the food web” and loss of large, late-maturing species are treated as the new baseline rather than as degradation.

– Economic losses from overfishing and the potential yield of rebuilt ecosystems are understated.

– Ecosystem-based management that only looks at recent decades misses former habitat structure, predator–prey relationships, and spatial productivity.

Counter-measures that researchers and some agencies now emphasize include catch reconstructions that go back before formal assessments, systematic use of older fishers’ knowledge, historical photographs and documents, archaeological and paleoecological data, and explicit sensitivity tests that ask “what if the true \(B_0\) was several times larger?”

A newer complication: climate

A 2026 paper in Fish and Fisheries notes that climate change now requires *forward-looking* baseline shifts as well. Historical abundance may no longer be reachable under new temperature and productivity regimes, so managers need both a clearer picture of the past *and* forecasts matched to the decision timescale (next season versus next decade). Using only a shifted historical baseline or only a recent snapshot both create risk.

In short, SBS is the reason a fishery can be declared “rebuilt” or “sustainably managed” while remaining a shadow of what the same waters once produced. Addressing it means treating historical ecology as a core input to reference points rather than as colorful background.