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为了达成科学界的共识,从图像来确定脆弱的海洋生态系统

Amy R Baco¹, Rebecca Ross², Franziska Althaus³

¹Earth, Ocean, and Atmospheric Sciences, Florida State University, Tallahassee, FL, United States.

|October 17, 2023

概括

开发用于识别脆弱海洋生态系统 (VMEs) 的非侵入性方法对于深海管理至关重要. 本研究建立了使用图像数据识别VME的全球指导方针,促进区域渔业管理组织/安排的一致VME评估.

科学领域:

海洋生物学海洋生物学
深海生态深海生态
渔业管理渔业管理渔业管理

背景情况:

区域渔业管理组织/安排 (RFMO/As) 在国家管辖范围之外管理深海渔业,需要确定脆弱的海洋生态系统 (VMEs).
目前的VME识别严重依赖入侵渔业数据 (拖网/长附捕),需要非入侵替代监测.
从图像数据中识别VMEs的现有协议是不一致的,缺乏标准化的框架.

研究的目的:

建立初步的全球共识指南,用于使用图像数据识别VMEs.
评估不同RFMO/A地区当前的VME评估协议.
为从单个图像中识别VME开发一个决策框架.

主要方法:

召集了一个国际小组,审查VME评估协议.
分析图像数据以识别VME指标种群和评估密度值.
开发了一个决策流程图,用于解释粮农组织从图像中识别VME的标准.

主要成果:

在RFMO/A地区的VME指标种群定义中发现了重大不一致性.
确定在特定情况下 (例如,珊瑚礁,花园,化学合成生态系统) 可以从单个图像中识别VMEs.
对VME的感知密度值观察到相当大的变化,尽管在VME和非VME图像之间注意到了统计差异.

结论:

需要在VME指标类型上达成全球共识.
区域性渔业管理组织 (RFMO/As) 应采用图像调查作为VME指标的补充或替代方法.
对于影响评估和所有影响海底的行业,建议进行图像调查,以检测和识别VME.

关键词:

超出国家管辖范围的地区.深海图像 - 深海的图像显著的不利影响显著的不利影响 VME指标标的税率是什么脆弱的海洋生态系统

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