Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Details

• Journal Title:
  Methods in Ecology and Evolution
• Personal Author:
  Chimienti, Marianna ; Kato, Akiko ; Seydi, Vahid ; Schoombie, Stefan ; Hinke, Jefferson T. ; Joy, Ruth ; Lidgard, Damian C. ; Oosthuizen, W. Chris ; Papastamatiou, Yannis P. ; Ropert‐Coudert, Yan ; Takahashi, Akinori ; Thiebot, Jean‐Baptiste ; Visani, Muriel ; Coustaty, Mickael ; Jeanniard‐du‐Dot, Tiphaine
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center)
• Description:
  Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours and their environment, but generate complex datasets needing efficient analytical tools.
• Source:
  Methods in Ecology and Evolution (2025)
• DOI:
  https://doi.org/10.1111/2041-210X.70063
• ISSN:
  2041-210X ; 2041-210X
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:a02cb583b0b4b26be04563cfe6b8f9202099dc1f3186bc71494a97bcd320cf348d0bb62dbd07ada6fdb223782359176fd0a47893312a5287fc52f98445413da7
• Download URL:
  https://repository.library.noaa.gov/view/noaa/71034/noaa_71034_DS1.pdf
• File Type:
  [PDF - 3.79 MB ]