Reliable stock assessments are essential for successful and sustainable fisheries management. Advanced stock assessment methods are expensive, as they require age- or length-structured catch and detailed fishery-independent data, which prevents their widespread use, especially in developing regions. Furthermore, modern fisheries management increasingly includes socio-economic considerations. Integrated ecological-economic advice can be provided by bio-economic models, but this requires the estimation of economic parameters. To improve accuracy of data-limited stock assessment while jointly estimating biological and economic parameters, we propose to use price data, in addition to catches, in a new bio-economic stock assessment (‘BESA’) approach for de-facto open access stocks. Price data are widely available, also in the Global South. BESA is based on a state-space approach and uncovers biomass dynamics by use of the extended Kalman filter in combination with Bayesian estimation. We show that estimates for biological and economic parameters can be obtained jointly, with reliability gains for the stock assessment from the additional information inherent in price data, compared to alternative assessment methods for data-poor stocks. In a real-world application to Barents Sea shrimp (Pandalus borealis, Pandalidae), we show that BESA benchmarks well also against advanced stock assessment results. BESA can thus be both a stand-alone approach for currently unassessed stocks as well as a complement to other available methods by providing bio-economic information for advanced fisheries management.

中文翻译：

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两全其美：利用捕捞量和价格数据的生物经济种群评估 (BESA) 方法

可靠的种群评估对于成功和可持续的渔业管理至关重要。先进的种群评估方法价格昂贵，因为它们需要年龄或长度结构的渔获量以及与渔业无关的详细数据，这阻碍了其广泛使用，特别是在发展中地区。此外，现代渔业管理越来越多地考虑社会经济因素。生物经济模型可以提供综合的生态经济建议，但这需要对经济参数进行估计。为了提高数据有限的种群评估的准确性，同时联合估计生物和经济参数，我们建议在新的生物经济种群评估（“BESA”）方法中，除了渔获量之外，还使用价格数据来评估事实上的开放获取种群。价格数据广泛存在，在南半球国家也是如此。BESA 基于状态空间方法，通过使用扩展卡尔曼滤波器与贝叶斯估计相结合来揭示生物量动态。我们表明，与数据贫乏种群的替代评估方法相比，可以联合获得生物和经济参数的估计，并且从价格数据固有的附加信息中获得种群评估的可靠性增益。在巴伦支海虾的实际应用中（Pandalus borealis，Pandalidae），我们表明 BESA 也能很好地针对高级种群评估结果进行基准测试。因此，BESA 既可以作为目前未评估种群的独立方法，也可以通过为先进渔业管理提供生物经济信息来补充其他可用方法。