Animal borne ocean sensors - AniBOS

Brief History:

The Animal Borne Ocean Sensors (AniBOS) network, launched in 2020, represents an innovative way for observing the ocean through the eyes of marine animals. is.  This network contributes to the ocean monitoring in remote locations such as polar regions, by instrumenting marine animals with sophisticated data collection devices. The ocean information gathered by animal oceanographers not only help scientists predict climate change and the future of our ocean, but they also allow to study and protect the animals themselves, integrating oceanography with biology.

  

Description:

Since marine animals travel many kilometres to find food, scientists started to fit these animals with special devices to better understand their feeding behaviour, and collect oceanographic data over long distances and at different locations. These devices carry different sensors and can be placed on different animals.  These are mainly elephant seals, Wedell seals and turtles but AniBOS is exploring the possibility of fitting devices to sharks and seabirds. The type of data collected depends on the species and the animal’s life history characteristics.  

Once the animal is captured and secured, the device is positioned so as not to disturb the animal's movements and behaviour before being released.

  

Deployment location:

Instrumented animals are used to sample under-sampled remote ocean locations. For example, elephant seals are effective for sampling inhospitable regions around Antarctica.

  

Main data collected:
  • Salinity
  • Temperature
  • In situ habitat data
  • Chlorophyll
  • Dissolved oxygen concentration
  • Etc.

  

Societal applications:

The AniBOS network delivers across all three of GOOS’s critical themes: climate, ocean health and forecasts / early warnings. Data gathered by AniBOS also enables us to understand how animals respond to a dynamic, changing ocean and provides a foundation for integrating that data with existing and new and emerging ocean observing networks.

  

If you want to learn more about this program, visit the website: https://www.meop.net/