采用两全其美的方法:利用渔获量和价格数据进行生物经济种群评估(BESA)

IF 5.6 1区 农林科学 Q1 FISHERIES
Kira Lancker, Rudi Voss, Fabian Zimmermann, Martin F. Quaas
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引用次数: 2

摘要

可靠的鱼群评估对成功和可持续的渔业管理至关重要。先进的种群评估方法是昂贵的,因为它们需要年龄或长度结构的捕捞量和详细的独立于渔业的数据,这阻碍了它们的广泛使用,特别是在发展中区域。此外,现代渔业管理日益包括社会经济因素。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,除了使用渔获量之外,还使用价格数据。价格数据可以广泛获取,在南半球也是如此。BESA基于状态空间方法,并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,与数据贫乏的其他评估方法相比,生物和经济参数的估计可以联合获得,从价格数据中固有的附加信息中获得库存评估的可靠性提高。在对巴伦支海虾(Pandalus borealis, Pandalidae)的实际应用中,我们表明BESA基准也可以很好地与先进的种群评估结果相比较。因此,BESA既可以作为目前未评估种群的独立方法,也可以作为其他现有方法的补充,为先进的渔业管理提供生物经济信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the best of two worlds: A bio-economic stock assessment (BESA) method using catch and price data

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.

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来源期刊
Fish and Fisheries
Fish and Fisheries 农林科学-渔业
CiteScore
12.80
自引率
6.00%
发文量
83
期刊介绍: Fish and Fisheries adopts a broad, interdisciplinary approach to the subject of fish biology and fisheries. It draws contributions in the form of major synoptic papers and syntheses or meta-analyses that lay out new approaches, re-examine existing findings, methods or theory, and discuss papers and commentaries from diverse areas. Focal areas include fish palaeontology, molecular biology and ecology, genetics, biochemistry, physiology, ecology, behaviour, evolutionary studies, conservation, assessment, population dynamics, mathematical modelling, ecosystem analysis and the social, economic and policy aspects of fisheries where they are grounded in a scientific approach. A paper in Fish and Fisheries must draw upon all key elements of the existing literature on a topic, normally have a broad geographic and/or taxonomic scope, and provide general points which make it compelling to a wide range of readers whatever their geographical location. So, in short, we aim to publish articles that make syntheses of old or synoptic, long-term or spatially widespread data, introduce or consolidate fresh concepts or theory, or, in the Ghoti section, briefly justify preliminary, new synoptic ideas. Please note that authors of submissions not meeting this mandate will be directed to the appropriate primary literature.
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