Literature DB >> 31074981

New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems.

Jacopo Aguzzi1, Damianos Chatzievangelou2, Simone Marini3, Emanuela Fanelli4, Roberto Danovaro4,5, Sascha Flögel6, Nadine Lebris7, Francis Juanes8, Fabio C De Leo8,9, Joaquin Del Rio10, Laurenz Thomsen2, Corrado Costa11, Giorgio Riccobene12, Cristian Tamburini13, Dominique Lefevre13, Carl Gojak14, Pierre-Marie Poulain15, Paolo Favali16,17, Annalisa Griffa3, Autun Purser18, Danelle Cline19, Duane Edgington19, Joan Navarro1, Sergio Stefanni5, Steve D'Hondt20, Imants G Priede21,22, Rodney Rountree8,23, Joan B Company1.   

Abstract

Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g., fisheries, oil-gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional vessel-assisted, time-consuming, high-cost sampling surveys. The implementation of permanent networks of seabed and water-column-cabled (fixed) and docked mobile platforms is presently enforced, to cooperatively measure biological features and environmental (physicochemical) parameters. Video and acoustic (i.e., optoacoustic) imaging are becoming central approaches for studying benthic fauna (e.g., quantifying species presence, behavior, and trophic interactions) in a remote, continuous, and prolonged fashion. Imaging is also being complemented by in situ environmental-DNA sequencing technologies, allowing the traceability of a wide range of organisms (including prokaryotes) beyond the reach of optoacoustic tools. Here, we describe the different fixed and mobile platforms of those benthic and pelagic monitoring networks, proposing at the same time an innovative roadmap for the automated computing of hierarchical ecological information on deep-sea ecosystems (i.e., from single species' abundance and life traits to community composition, and overall biodiversity).

Entities:  

Mesh:

Year:  2019        PMID: 31074981     DOI: 10.1021/acs.est.9b00409

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  8 in total

1.  Towards Naples Ecological REsearch for Augmented Observatories (NEREA): The NEREA-Fix Module, a Stand-Alone Platform for Long-Term Deep-Sea Ecosystem Monitoring.

Authors:  Emanuela Fanelli; Jacopo Aguzzi; Simone Marini; Joaquin Del Del Rio; Marc Nogueras; Simonepietro Canese; Sergio Stefanni; Roberto Danovaro; Fabio Conversano
Journal:  Sensors (Basel)       Date:  2020-05-21       Impact factor: 3.576

2.  Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories.

Authors:  Vanesa Lopez-Vazquez; Jose Manuel Lopez-Guede; Simone Marini; Emanuela Fanelli; Espen Johnsen; Jacopo Aguzzi
Journal:  Sensors (Basel)       Date:  2020-01-28       Impact factor: 3.576

3.  Burrow emergence rhythms of Nephrops norvegicus by UWTV and surveying biases.

Authors:  Jacopo Aguzzi; Nixon Bahamon; Jennifer Doyle; Colm Lordan; Ian D Tuck; Matteo Chiarini; Michela Martinelli; Joan B Company
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

4.  Automatic detection of fish and tracking of movement for ecology.

Authors:  Sebastian Lopez-Marcano; Eric L Jinks; Christina A Buelow; Christopher J Brown; Dadong Wang; Branislav Kusy; Ellen M Ditria; Rod M Connolly
Journal:  Ecol Evol       Date:  2021-05-18       Impact factor: 2.912

5.  A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring.

Authors:  Jacopo Aguzzi; Jan Albiez; Sascha Flögel; Olav Rune Godø; Endre Grimsbø; Simone Marini; Olaf Pfannkuche; Erik Rodriguez; Laurenz Thomsen; Terje Torkelsen; Javier Valencia; Vanesa López-Vázquez; Henning Wehde; Guosong Zhang
Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

Review 6.  The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms.

Authors:  Jacopo Aguzzi; Damianos Chatzievangelou; Marco Francescangeli; Simone Marini; Federico Bonofiglio; Joaquin Del Rio; Roberto Danovaro
Journal:  Sensors (Basel)       Date:  2020-03-21       Impact factor: 3.576

7.  An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions.

Authors:  Ander Zuazo; Jordi Grinyó; Vanesa López-Vázquez; Erik Rodríguez; Corrado Costa; Luciano Ortenzi; Sascha Flögel; Javier Valencia; Simone Marini; Guosong Zhang; Henning Wehde; Jacopo Aguzzi
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

8.  A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.

Authors:  Stephanie M Bilodeau; Austin W H Schwartz; Binfeng Xu; V Paúl Pauca; Miles R Silman
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240

  8 in total

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