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Marine animals: the next generation of autonomous underwater vehicle?

机译:海洋动物:下一代自动水下机器人?

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Advances in animal tag technologies now offer a significant method for gathering oceanographic information throughout the world's oceans. By employing marine organisms as oceanic samplers (MOOS), vast amounts of in situ data (e.g. temperature, productivity and salinity in relation to depth and location) can be archived and transmitted via satellite or obtained directly from the tag if the tag is recovered. The beauty of this technique is that no on-board navigation system nor external propulsion supply is required. The animal performs the work necessary to transport the equipment and chooses what transect to run. The gathered data, guided by the animal's point of view, reveal secrets of the animal's life and pinpoint environmental features most important to its lifestyle. Depending on the species tagged, the animal may perform a number of tasks of great interest to oceanographers e.g. gathering data from remote regions like the poles, performing repeated deep dives, targeting specific food sources or oceanographic features and traversing massive expanses of ocean. The breadth of animal species with which this technology has been successfully deployed is growing steadily. The list includes bluefin and yellowfin tuna, white sharks, thresher sharks, whale sharks, ocean sunfish, marine turtles, seals, sea lions, and seabirds. It is hoped that the wealth of tag data already being collected worldwide can serve both the needs of the biologic and oceanographic communities alike.
机译:现在,动物标签技术的进步为收集全世界海洋中的海洋学信息提供了一种重要的方法。通过将海洋生物用作海洋采样器(MOOS),可以将大量原位数据(例如与深度和位置有关的温度,生产力和盐度)存储起来并通过卫星进行传输,或者如果回收了标签,则可以直接从标签中获取数据。该技术的优点在于,无需车载导航系统,也无需外部推进装置。动物执行运输设备所需的工作,并选择要运行的横断面。以动物的观点为指导,收集的数据揭示了动物生活的秘密,并指出了对其生活方式最重要的环境特征。取决于所标记的物种,动物可能会执行海洋学家非常感兴趣的许多任务,例如:从极地等偏远地区收集数据,进行重复的深潜,针对特定的食物来源或海洋学特征,并穿越大片海洋。成功使用该技术的动物种类的范围正在稳步增长。名单包括蓝鳍金枪鱼和黄鳍金枪鱼,白鲨,脱粒鲨,鲸鲨,海洋翻车鱼,海龟,海豹,海狮和海鸟。希望已经在全球范围内收集的大量标签数据能够满足生物界和海洋学界的需求。

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