Your browser doesn't support javascript.
loading
A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum.
Zhang, Yanwu; Ryan, John P; Hobson, Brett W; Kieft, Brian; Romano, Anna; Barone, Benedetto; Preston, Christina M; Roman, Brent; Raanan, Ben-Yair; Pargett, Douglas; Dugenne, Mathilde; White, Angelicque E; Freitas, Fernanda Henderikx; Poulos, Steve; Wilson, Samuel T; DeLong, Edward F; Karl, David M; Birch, James M; Bellingham, James G; Scholin, Christopher A.
Afiliação
  • Zhang Y; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA. yzhang@mbari.org.
  • Ryan JP; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Hobson BW; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Kieft B; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Romano A; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Barone B; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Preston CM; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Roman B; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Raanan BY; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Pargett D; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Dugenne M; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • White AE; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Freitas FH; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Poulos S; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Wilson ST; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • DeLong EF; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Karl DM; University of Hawai'i at Manoa, Honolulu, HI, USA.
  • Birch JM; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
  • Bellingham JG; Woods Hole Oceanographic Institution, Woods Hole, MA, USA.
  • Scholin CA; Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
Sci Robot ; 6(50)2021 01 13.
Article em En | MEDLINE | ID: mdl-34043577
ABSTRACT
The deep chlorophyll maximum (DCM) layer is an ecologically important feature of the open ocean. The DCM cannot be observed using aerial or satellite remote sensing; thus, in situ observations are essential. Further, understanding the responses of microbes to the environmental processes driving their metabolism and interactions requires observing in a reference frame that moves with a plankton population drifting in ocean currents, i.e., Lagrangian. Here, we report the development and application of a system of coordinated robots for studying planktonic biological communities drifting within the ocean. The presented Lagrangian system uses three coordinated autonomous robotic platforms. The focal platform consists of an autonomous underwater vehicle (AUV) fitted with a robotic water sampler. This platform localizes and drifts within a DCM community, periodically acquiring samples while continuously monitoring the local environment. The second platform is an AUV equipped with environmental sensing and acoustic tracking capabilities. This platform characterizes environmental conditions by tracking the focal platform and vertically profiling in its vicinity. The third platform is an autonomous surface vehicle equipped with satellite communications and subsea acoustic tracking capabilities. While also acoustically tracking the focal platform, this vehicle serves as a communication relay that connects the subsea robot to human operators, thereby providing situational awareness and enabling intervention if needed. Deployed in the North Pacific Ocean within the core of a cyclonic eddy, this coordinated system autonomously captured fundamental characteristics of the in situ DCM microbial community in a manner not possible previously.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água do Mar / Robótica Limite: Humans Idioma: En Revista: Sci Robot Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água do Mar / Robótica Limite: Humans Idioma: En Revista: Sci Robot Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos