珊瑚礁
暗礁
海洋空间规划
生物多样性热点
生物多样性
地理
环境资源管理
生态学
渔业
海洋生物多样性
动物群
公民科学
热点(地质)
计算机科学
珊瑚
底栖生境
群岛
水下
环境科学
声纳
模式
珊瑚礁保护
遥感
利用
地图学
海洋保护
海洋保护区
海洋学
作者
Seth McCammon,Levi Cai,Daniel Yang,John Walsh,John D. Cast,T. Aran Mooney,Yogesh Girdhar
出处
期刊:Science robotics
[American Association for the Advancement of Science]
日期:2026-05-13
卷期号:11 (114): eadx9939-eadx9939
被引量:1
标识
DOI:10.1126/scirobotics.adx9939
摘要
Coral reefs are under threat worldwide. Yet, in these often-challenging marine habitats, biologists lack the tools to quantify the spatial heterogeneity of mobile reef fauna at high resolution (<1 meter), hampering monitoring and restoration efforts. Because of the diverse species present, multiple sensor modalities are needed to characterize the biodiversity. The urgent need to expand this study across unexplored reefs worldwide compounds these challenges. To address these problems, we propose a generative model of reef observations and develop a multimodal framework for seeking and mapping hotspots of biodiversity. In a case study on a healthy Caribbean reef, our autonomous underwater vehicle used passive acoustics and visual sensing to locate a biological hotspot around a large Dendrogyra pillar coral. We used the colocated multimodal data to self-validate the hotspot’s prominence, representing a technological step forward to help understand the ecological dynamics of coral reefs.
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