| Citation | Cope, J.M., 2024. The good practices of practicable alchemy in the stock assessment continuum: Fundamentals and principles of analytical methods to support science-based fisheries management under data and resource limitations. Fisheries Research 270, 106859. https://doi.org/10.1016/j.fishres.2023.106859
(https://www.sciencedirect.com/science/article/pii/S0165783623002527?via%3Dihub) |
| Title | Science-based fisheries management under data and resource limitations: The good practices of practicable alchemy |
| Publication Year | 2024 |
| Volume | 270 |
| Keywords | stock assessment, data limited, fisheries management, uncertainty estimation, management strategy |
| Abstract | It is the exceptionally rare case that we can directly measure fish absolute abundance through many stock generations in all areas of its range. Data sampling protocols and analytical methods describing some aspect of a fish population therefore become critical applications, with the latter taking on abstractions dictated by said data availability and quality, as well as capacity limitations such as time, money and trained analysts. Below even biomass production models, often considered a very data-limited analysis, but actually quite data-rich, are a host of data scenarios and subsequent approaches meant to engage the power of fisheries science to inform management decisions despite a variety of limitations. This data-limited umbrella is large and often challenging to navigate, despite containing simplified (but not simple) approaches. Here I aim to provide both context of and guidance in organizing and applying so-called data-limited stock assessments. I reveal a list of best practic |
| Official Citation | Cope, J.M., 2024. The good practices of practicable alchemy in the stock assessment continuum: Fundamentals and principles of analytical methods to support science-based fisheries management under data and resource limitations. Fisheries Research 270, 106859. https://doi.org/10.1016/j.fishres.2023.106859
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| Links | (https://www.sciencedirect.com/science/article/pii/S0165783623002527?via%3Dihub) |