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Current and potential contributions of the Gulf of Lion Fisheries Restricted Area to fisheries sustainability in the NW Mediterranean Sea

机译:狮子渔业海湾的当前和潜在贡献限制了NW地中海渔业可持续性的区域

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摘要

Among FAO's Major Fishing Areas, the Mediterranean and the Black Sea had the highest percentage (62.5%) of stocks fished at unsustainable levels, especially demersal stocks. Spatial-temporal restrictions of fishing activities are important measures used for the management of marine stocks. However, sometimes these regulations are not fully implemented due to a lack of effectiveness and compliance, which contributes to their failure. Here, we developed a food-web model approach using the Ecopath with Ecosim (EwE) model representing the Fisheries Restricted Area (FRA) of the Gulf of Lion ecosystem (CoSEGoL model) prior to the establishment of the fisheries restrictions (2006-2008). We characterized the structure and functioning of the ecosystem before and after its establishment. The constructed food-web model was then fitted to the available time series of data from 2008 to 2016 to verify whether this FRA has contributed to the recovery of target demersal species and the demersal community. The fitted model was used to explore alternative future management scenarios to explore feasible management options in order to ensure a full ecosystem recovery under climate change conditions. Our results suggest a failure in the recovery of target species in the restricted area under the current management scenario, potentially revealing a lack of protection efficiency and/or enforcement. Scenarios of management options under plausible climate futures revealed possible recovery of targeted species, especially European hake. The study highlighted the importance of considering trophic interactions between predators and prey to identify trade-offs and synergies in fisheries management outcomes and the need to consider both fishing and climate dynamics.
机译:在粮农组织的主要渔场中,地中海和黑海的股票中的最高百分比(62.5%)占据了不可持续的水平,特别是缺口股。捕捞活动的空间时间限制是用于管理海洋股票的重要措施。然而,由于缺乏有效性和遵守性,有时这些法规不会完全实施,这有助于他们的失败。在这里,我们开发了一种使用代表驼峰生态系统(COSEGOL模型)在建立渔业限制之前(2006-2008)之前的ECOPATH与ECOPAIM(EWE)模型的食品网络模型方法。我们在建立前后的生态系统的结构和运作的特征。然后,建造的食品网模型从2008年到2016年拟合到可用时间序列的数据序列,以验证该FRA是否有助于恢复目标过度物种和倒影社区。拟合的型号用于探索替代的未来管理方案,以探索可行的管理方案,以确保在气候变化条件下完全生态系统回收。我们的结果表明,在目前的管理场景下,禁区内的目标物种的复苏失败,可能揭示缺乏保护效率和/或执法。合理的气候期货下管理方案的情景显示出目标物种的可能恢复,尤其是欧洲鳕鱼。该研究强调了考虑掠夺者和猎物之间的营养互动的重要性,以确定渔业管理结果的权衡和协同作用以及需要考虑捕鱼和气候动态的必要性。

著录项

  • 来源
    《Marine policy 》 |2021年第1期| 104296.1-104296.14| 共14页
  • 作者单位

    CSIC ICM Inst Ciencies Mar P Maritim Barceloneta 37-49 Barcelona 08003 Spain|Univ Florida Inst Food & Agr Sci Nat Coast Biol Stn Cedar Key FL 32625 USA|Univ Florida Sch Forest Resources & Conservat Fisheries & Aquat Sci Program Gainesville FL 32611 USA;

    CSIC ICM Inst Ciencies Mar P Maritim Barceloneta 37-49 Barcelona 08003 Spain|Ecopath Int Initiat EII Barcelona Spain;

    CSIC ICM Inst Ciencies Mar P Maritim Barceloneta 37-49 Barcelona 08003 Spain|Ecopath Int Initiat EII Barcelona Spain|Basque Res & Technol Alliance BRTA Marine Res Inst AZTI Txatxarramendi Ugartea Z-G Sukarrieta 48395 Spain;

    Ecopath Int Initiat EII Barcelona Spain;

    European Commiss Joint Res Ctr Via Fermi 2749 I-21027 Ispra Italy;

    European Commiss Joint Res Ctr Via Fermi 2749 I-21027 Ispra Italy;

    Consorzio Ctr Interuniv Biol Marina Ecol Applicat Viale N Sauro 4 I-57128 Livorno Italy;

    Consorzio Ctr Interuniv Biol Marina Ecol Applicat Viale N Sauro 4 I-57128 Livorno Italy;

    PSL Univ Paris Natl Ctr Sci Res CRIOBE USR 3278 CNRS EPHE UPVD 195 Rue St Jacques F-75005 Paris France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fisheries rebuilding; Future management scenarios; Ecopath with Ecosim; Gulf of lion; Food webs; Ecological indicators;

    机译:渔业重建;未来的管理情景;与生态的eCopath;狮子湾;食物网;生态指标;

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