Michael A. Spence , James A. Martindale , Khatija Alliji , Hayley J. Bannister , Robert B. Thorpe , Nicola D. Walker , Peter J. Mitchell , Matthew R. Kerr , Paul J. Dolder
{"title":"利用集合建模方法评估多物种相互作用对预防性参考点的影响:北海案例研究","authors":"Michael A. Spence , James A. Martindale , Khatija Alliji , Hayley J. Bannister , Robert B. Thorpe , Nicola D. Walker , Peter J. Mitchell , Matthew R. Kerr , Paul J. Dolder","doi":"10.1016/j.fishres.2024.107160","DOIUrl":null,"url":null,"abstract":"<div><p>The precautionary approach to fisheries management requires accounting of uncertainty to ensure stock sustainability. Most fisheries management is based on a single-species approach, with stocks assumed independent of one another, even though it is known that stocks interact through predation and competition for resources. The strength of these interactions depends on the relative abundance and size/age composition of stocks, but they are usually treated as fixed. Therefore, a key question is: can we simultaneously adopt the precautionary approach for multiple stocks while accounting for these interactions? Here we examine the impact of stock interactions on calculations of precautionary reference points for nine stocks in the North Sea. We combined four multispecies models using an ensemble model to rigorously quantify uncertainty and explore the rates of fishing mortality that leads to groups of stocks being fished according to the precautionary approach. We found that relaxing the assumption of stock independence meant that no fishing at all was only precautionary for six of nine stocks, and no fishing strategy was precautionary for all nine. We suggest that it is necessary to account for multispecies interactions when calculating precautionary reference points.</p></div>","PeriodicalId":50443,"journal":{"name":"Fisheries Research","volume":"280 ","pages":"Article 107160"},"PeriodicalIF":2.2000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165783624002248/pdfft?md5=3d0666a2aa2359e56f2de7c618a4cb00&pid=1-s2.0-S0165783624002248-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Assessing the effect of multispecies interactions on precautionary reference points using an ensemble modelling approach: A North Sea case study\",\"authors\":\"Michael A. Spence , James A. Martindale , Khatija Alliji , Hayley J. Bannister , Robert B. Thorpe , Nicola D. Walker , Peter J. Mitchell , Matthew R. Kerr , Paul J. Dolder\",\"doi\":\"10.1016/j.fishres.2024.107160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The precautionary approach to fisheries management requires accounting of uncertainty to ensure stock sustainability. Most fisheries management is based on a single-species approach, with stocks assumed independent of one another, even though it is known that stocks interact through predation and competition for resources. The strength of these interactions depends on the relative abundance and size/age composition of stocks, but they are usually treated as fixed. Therefore, a key question is: can we simultaneously adopt the precautionary approach for multiple stocks while accounting for these interactions? Here we examine the impact of stock interactions on calculations of precautionary reference points for nine stocks in the North Sea. We combined four multispecies models using an ensemble model to rigorously quantify uncertainty and explore the rates of fishing mortality that leads to groups of stocks being fished according to the precautionary approach. We found that relaxing the assumption of stock independence meant that no fishing at all was only precautionary for six of nine stocks, and no fishing strategy was precautionary for all nine. 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Assessing the effect of multispecies interactions on precautionary reference points using an ensemble modelling approach: A North Sea case study
The precautionary approach to fisheries management requires accounting of uncertainty to ensure stock sustainability. Most fisheries management is based on a single-species approach, with stocks assumed independent of one another, even though it is known that stocks interact through predation and competition for resources. The strength of these interactions depends on the relative abundance and size/age composition of stocks, but they are usually treated as fixed. Therefore, a key question is: can we simultaneously adopt the precautionary approach for multiple stocks while accounting for these interactions? Here we examine the impact of stock interactions on calculations of precautionary reference points for nine stocks in the North Sea. We combined four multispecies models using an ensemble model to rigorously quantify uncertainty and explore the rates of fishing mortality that leads to groups of stocks being fished according to the precautionary approach. We found that relaxing the assumption of stock independence meant that no fishing at all was only precautionary for six of nine stocks, and no fishing strategy was precautionary for all nine. We suggest that it is necessary to account for multispecies interactions when calculating precautionary reference points.
期刊介绍:
This journal provides an international forum for the publication of papers in the areas of fisheries science, fishing technology, fisheries management and relevant socio-economics. The scope covers fisheries in salt, brackish and freshwater systems, and all aspects of associated ecology, environmental aspects of fisheries, and economics. Both theoretical and practical papers are acceptable, including laboratory and field experimental studies relevant to fisheries. Papers on the conservation of exploitable living resources are welcome. Review and Viewpoint articles are also published. As the specified areas inevitably impinge on and interrelate with each other, the approach of the journal is multidisciplinary, and authors are encouraged to emphasise the relevance of their own work to that of other disciplines. The journal is intended for fisheries scientists, biological oceanographers, gear technologists, economists, managers, administrators, policy makers and legislators.