The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms
Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/6/1751 |
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| author | Jacopo Aguzzi Damianos Chatzievangelou Marco Francescangeli Simone Marini Federico Bonofiglio Joaquin del Rio Roberto Danovaro |
| author_facet | Jacopo Aguzzi Damianos Chatzievangelou Marco Francescangeli Simone Marini Federico Bonofiglio Joaquin del Rio Roberto Danovaro |
| author_sort | Jacopo Aguzzi |
| collection | DOAJ |
| description | Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals. |
| first_indexed | 2024-04-11T18:21:33Z |
| format | Article |
| id | doaj.art-eb79a8ae698e4e9c85af0465a5f5c1bf |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:21:33Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-eb79a8ae698e4e9c85af0465a5f5c1bf2022-12-22T04:09:45ZengMDPI AGSensors1424-82202020-03-01206175110.3390/s20061751s20061751The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic PlatformsJacopo Aguzzi0Damianos Chatzievangelou1Marco Francescangeli2Simone Marini3Federico Bonofiglio4Joaquin del Rio5Roberto Danovaro6Marine Science Institute (ICM-CSIC), 08003 Barcelona, SpainJacobs University, 28759 Bremen, GermanySARTI-Remote Acquisition and Data Processing Systems Research group, Electronics Department, Universitat Politècnica de Catalunya (UPC), 08800 Barcelona, SpainStazione Zoologica Anton Dohrn, 80122 Naples, ItalyInstitute of Marine Sciences, National Research Council of Italy (CNR), 19032 La Spezia, ItalySARTI-Remote Acquisition and Data Processing Systems Research group, Electronics Department, Universitat Politècnica de Catalunya (UPC), 08800 Barcelona, SpainStazione Zoologica Anton Dohrn, 80122 Naples, ItalyMeasuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.https://www.mdpi.com/1424-8220/20/6/1751cabled observatoriescrawlerimagingecological information treatmentecological indicatorsdata bankingartificial intelligencecyber-infrastructures |
| spellingShingle | Jacopo Aguzzi Damianos Chatzievangelou Marco Francescangeli Simone Marini Federico Bonofiglio Joaquin del Rio Roberto Danovaro The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms Sensors cabled observatories crawler imaging ecological information treatment ecological indicators data banking artificial intelligence cyber-infrastructures |
| title | The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms |
| title_full | The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms |
| title_fullStr | The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms |
| title_full_unstemmed | The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms |
| title_short | The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms |
| title_sort | hierarchic treatment of marine ecological information from spatial networks of benthic platforms |
| topic | cabled observatories crawler imaging ecological information treatment ecological indicators data banking artificial intelligence cyber-infrastructures |
| url | https://www.mdpi.com/1424-8220/20/6/1751 |
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