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Sustainable fisheries

机译:可持续渔业

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摘要

The destruction of the worlds major fisheries has been widely documented, with a general consensus that the biomass of top marine predators is now some 10% of what it was half a century ago. Many of these species - such as the bluefin tuna, Atlantic cod, and sword-fish in the Atlantic and Indian oceans - are expected to be extinct within decades. There is therefore great interest in finding ways of managing fisheries that ensure their sustainable use, allowing a fish population to return to earlier levels and providing a secure basis for a healthy and profitable fishery. Writing in Science, Cos-tello, Gaines and Lynham present a convincing and thorough analysis of this issue. They suggest that a particular management approach, the use of 'individual tradable quotas' (ITQs), has had dramatically beneficial impacts on many of the fisheries in which they have been implemented. The destruction of the worlds fisheries is a classic illustration of the 'tragedy of the commons'. With open access, all boats are competing for the same fish: the more fish one catches, the fewer there are for others. Everyone rushes to catch as many as possible. There is no point in leaving fish untouched so they can breed, as competitors will catch them. Economists have developed formal models showing that the outcome is a massive overuse relative to the policy that would generate the greatest economic value from the fishery.
机译:关于世界主要渔业的破坏已有广泛文献记载,人们普遍认为,目前主要海洋捕食者的生物量约为半个世纪前的10%。预计其中许多物种(如蓝鳍金枪鱼,大西洋鳕鱼和大西洋及印度洋的剑鱼)将在几十年内灭绝。因此,人们非常希望找到一种管理渔业的方法,以确保其可持续利用,使鱼类种群恢复到较早的水平并为健康和有利可图的渔业提供可靠的基础。 Cos-tello,Gaines和Lynham的《科学》杂志对此问题进行了令人信服的透彻分析。他们认为,一种特殊的管理方法,即使用“可交易的个体配额”(ITQ),已对实施这些规则的许多渔业产生了巨大的有利影响。世界渔业的破坏是“公地悲剧”的经典例证。有了开放式通道,所有船只都在争夺同一条鱼:一条鱼捕获的鱼越多,其他鱼捕获的鱼就越少。每个人都赶着赶上尽可能多的地方。保持鱼类的原样是没有意义的,这样它们就可以繁殖,因为竞争对手会抓住它们。经济学家开发了正式的模型,表明相对于将从渔业中产生最大经济价值的政策而言,结果是过度使用。

著录项

  • 来源
    《Nature》 |2008年第7216期|p.1044-1045|共2页
  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

  • 入库时间 2022-08-18 02:56:00

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