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Coral Reef Monitoring, Reef Assessment Technologies, and Ecosystem-based Management

机译:珊瑚礁监测,珊瑚礁评估技术和基于生态系统的管理

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Coral reefs are exceptionally biodiverse, and human dependence on their ecosystem services is high. Reefs experience significant direct and indirect anthropogenic pressures, and provide a sensitive indicator of coastal ocean health, climate change and ocean acidification, with associated implications for society. Monitoring coral reef status and trends is essential to better inform science, management and policy, but the projected collapse of reef systems within a few decades makes the provision of accurate and actionable monitoring data urgent. The Global Coral Reef Monitoring Network has been the foundation for global reporting on coral reefs for two decades, and is entering into a new phase with improved operational and data standards incorporating the Essential Ocean Variables (EOVs) (www.goosocean.org/eov) and Framework for Ocean Observing developed by the Global Ocean Observing System. Three EOVs provide a robust description of reef health: hard coral cover and composition, macro-algal canopy cover, and fish diversity and abundance. A data quality model based on comprehensive metadata is designed to facilitate maximum global coverage of coral reef data, and tangible steps to track capacity building. Improved monitoring of events such as mass bleaching and disease outbreaks, citizen science and socio-economic monitoring have the potential to greatly improve the relevance of monitoring to managers and stakeholders, and to address the complex and multi- dimensional interactions between reefs and people. XX THERE IS SOMETHING WRONG IN THE ABSTRACT WORD LIMIT, ONE MORE PARAGRAPH WAS INCLUDED IN THE ORIGINAL TEXT.
机译:珊瑚礁具有独特的生物多样性,人类对其生态系统服务的依赖性很高。珊瑚礁承受着巨大的直接和间接人为压力,为沿海海洋健康,气候变化和海洋酸化提供了敏感指标,并对社会产生了相关影响。监测珊瑚礁的状况和趋势对于更好地向科学,管理和政策提供信息至关重要,但是预计在几十年之内珊瑚礁系统将崩溃,因此迫切需要提供准确且可行的监测数据。全球珊瑚礁监测网已经成为全球二十年来珊瑚礁报告的基础,并且正进入一个新阶段,其改进的操作和数据标准结合了基本海洋变量(EOV)(www.goosocean.org/eov)全球海洋观测系统开发的海洋观测框架。三种EOV可以很好地描述珊瑚礁的健康状况:坚硬的珊瑚覆盖物和组成,大型藻类冠层覆盖物以及鱼类的多样性和丰度。设计了基于综合元数据的数据质量模型,以促进最大程度地覆盖全球珊瑚礁数据,并采取切实措施跟踪能力建设。改进对大规模漂白和疾病暴发,公民科学和社会经济监测等事件的监测,有可能极大地提高监测对管理者和利益相关者的相关性,并解决珊瑚礁与人之间复杂而多层面的相互作用。 XX的抽象字词限制有些错误,原文中包含一个以上的段落。

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