Increasing the knowledge of approaches to estimate the status of data-limited stocks is of
crucial importance since the vast majority of stocks are data-limited, ie, there is not enough …

The quantity of data from many small-scale fisheries is insufficient to allow for the application
of conventional assessment methods. Even though in many countries they are moving to …

Demand for data-limited stock assessment methods is increasing, and new methods are
being developed rapidly. One class of these methods requires only catch time series and, in …

The term “data-limited fisheries” is a catch-all to generally describe situations lacking data to
support a fully integrated stock assessment model. Data conditions range from data-void …

All fish stocks should be managed sustainably, yet for the majority of stocks, data are often
limited and different stock assessment methods are required. Two popular and widely used …

Abstract Tuna Regional Fisheries Management Organizations (RFMOs) are responsible for
conservation and sustainable management of transboundary tuna resources in Exclusive …

Quantitative assessment and management of small-scale fisheries is a persistent problem
for fisheries. Crustaceans are particularly challenging for conventional techniques because …

Effective fisheries management is reliant on the availability of accurate information, which
also provides the evidence base for certification against sustainability standards. In this …

This paper presents the design and development of a coastal fisheries monitoring system
that harnesses artificial intelligence technologies. Application of the system across the …

Many capture fisheries are considered data-poor, including the northern pike (Esox lucius)
fishery in brackish lagoons in the southern Baltic Sea of Germany. The objective of our work …