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首页> 外文期刊>Ocean & coastal management >Multidisciplinary tools for sustainable management of an ecosystem service: The case study of mussel farming in the Mar Piccolo of Taranto (Mediterranean, Ionian Sea)
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Multidisciplinary tools for sustainable management of an ecosystem service: The case study of mussel farming in the Mar Piccolo of Taranto (Mediterranean, Ionian Sea)

机译:生态系统服务可持续管理的多学科工具:Taranto(地中海,爱奥尼亚海地中海)Mar Piccolo贻贝养殖的案例研究

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摘要

This paper describes the development of multidisciplinary simulation tools based on a system approach, and its contribution to local political debate on sustainable shellfish farming in a Mediterranean coastal site (Mar Piccolo of Taranto, Ionian Sea). Remote sensing images were used for the first time to count mussel culture plants and to validate information provided by stakeholders and farmers. The data obtained were even more important considering the lack of reliable official statistics, Further, a model was developed to simulate exploratory scenarios. In the modelling platform, the ecosystem and individual mussel growth models (built in the frame of the EU Integrated Project SPICOSA, Science and Policy Integration for Coastal System Assessment) are combined with the Mussel Farm Model (MFM). The simulated scenarios suggested that: 1. Farming is unsustainable, because it exceeds the system carrying capacity; 2. Plant overloading is exacerbated by the negative effects of recurrent heatwaves; 3. Sustainable management measures should be applied to obtain individuals of good quality as well as to extend the juveniles sale period and cope with climate crises. The results show that the described tools may help in the design of viable policies based on operational objectives and feasible technical options. Since until now, production trends cannot be determined based on natural and social factors alone, once applied, this tool will allow for a more exemplary production system. It could also become a good practice example towards a more sustainable development of coastal zones.
机译:本文介绍了基于系统方法的多学科仿真工具的发展,以及地中海沿海网站上可持续贝类农业的地方政治辩论的贡献(Taranto,Ionian海的Mar Piccolo)。首次使用遥感图像来计算贻贝文化工厂,并验证利益攸关方和农民提供的信息。考虑到缺乏可靠的官方统计数据,所获得的数据进一步更加重要,进一步发展了模型以模拟探索性方案。在建模平台中,生态系统和个人贻贝增长模型(内置于欧盟综合项目SPICOSA,科学和政策整合的沿海系统评估)与贻贝农场模型(MFM)相结合。模拟情景表明:1。农业是不可持续的,因为它超出了载物能力; 2.植物重载通过反复热堰的负面影响加剧; 3.应适用可持续管理措施,以获得良好质量的个人,并扩大青少年销售期并应对气候危机。结果表明,所描述的工具可能有助于根据操作目标和可行的技术选择设计可行的策略。由于到目前为止,生产趋势不能根据自然和社会因素来确定,一旦应用,该工具将允许更具示例性生产系统。它也可能成为沿海地区更可持续发展的良好实践示例。

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  • 来源
    《Ocean & coastal management》 |2019年第6期|11-23|共13页
  • 作者单位

    CNR Marine Sci Inst CNR ISMAR I-80133 Naples Italy;

    CNR Water Res Inst CNR IRSA Via Roma 3 I-74121 Taranto Italy;

    CNR Water Res Inst CNR IRSA Via Roma 3 I-74121 Taranto Italy;

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  • 正文语种 eng
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