A history and evaluation of catch-only stock assessment models

Understanding the status of fish stocks is a critical step in ensuring the ecological and economic sustainability of marine ecosystems. However, at least half of global catch and a vast majority of global fisheries lack formal stock assessments, largely due to a lack of sufficient data. Catch data, loosely referring to any catch records be it inclusive of discards or not, are the only type of fishery data available across a wide range of fisheries at a global scale. This has given rise to a long list of so-called catch-only models, intended to estimate aspects of stock status based primarily on characteristics of a fishery's catch history. In this paper, we review the history, performance and potential of catch-only models to estimate stock biomass status. While individual catch-only models often report good performance, repeated efforts to examine the performance of these models have consistently found them to be imprecise and biased when applied to new data-limited fisheries. We demonstrate that a large reason for this is the simple lack of information on stock status contained in the shape of a catch history alone. Off-the-shelf use of catch-only models can lead to poor and biased estimates of stock status, potentially hindering efforts at effective management.

Automated summary

Understanding the status of fish stocks is crucial for ecological and economic sustainability of marine ecosystems. However, a lack of formal stock assessments in many global fisheries, combined with reliance on catch data, has led to imprecise and biased estimates of stock status in new data-limited fisheries when using catch-only models.