Marine animal forests are benthic communities dominated by sessile suspension feeders (such as sponges, corals, and bivalves) able to generate three-dimensional (3D) frameworks with high structural complexity. The biodiversity and functioning of marine animal forests are strictly related to their 3D complexity. The present paper aims at providing new perspectives in underwater optical surveys. Starting from the current gaps in data collection and analysis that critically limit the study and conservation of marine animal forests, we discuss the main technological and methodological needs for the investigation of their 3D structural complexity at different spatial and temporal scales. Despite recent technological advances, it seems that several issues in data acquisition and processing need to be solved, to properly map the different benthic habitats in which marine animal forests are present, their health status and to measure structural complexity. Proper precision and accuracy should be chosen and assured in relation to the biological and ecological processes investigated. Besides, standardized methods and protocols are strictly necessary to meet the FAIR (findability, accessibility, interoperability, and reusability) data principles for the stewardship of habitat mapping and biodiversity, biomass, and growth data.
Needs and gaps in optical underwater technologies and methods for the investigation of marine animal forest 3D-structural complexity / Rossi, Paolo; Ponti, Massimo; Righi, Sara; Castagnetti, Cristina; Simonini, Roberto; Mancini, Francesco; Agrafiotis, Panagiotis; Bassani, Leonardo; Bruno, Fabio; Cerrano, Carlo; Cignoni, Paolo; Corsini, Massimiliano; Drap, Pierre; Dubbini, Marco; Garrabou, Joaquim; Gori, Andrea; Gracias, Nuno; Ledoux, Jean-Baptiste; Linares, Cristina; Pulido Mantas, Torcuato; Menna, Fabio; Nocerino, Erica; Palma, Marco; Pavoni, Gaia; Ridolfi, Alessandro; Rossi, Sergio; Skarlatos, Dimitrios; Treibitz, Tali; Turicchia, Eva; Yuval, Matan; Capra, Alessandro. - In: FRONTIERS IN MARINE SCIENCE. - ISSN 2296-7745. - 8:(2021), pp. 1-9. [10.3389/fmars.2021.591292]
Needs and gaps in optical underwater technologies and methods for the investigation of marine animal forest 3D-structural complexity
Paolo Rossi;Sara Righi;Cristina Castagnetti;Roberto Simonini;Francesco Mancini;Alessandro Capra
2021
Abstract
Marine animal forests are benthic communities dominated by sessile suspension feeders (such as sponges, corals, and bivalves) able to generate three-dimensional (3D) frameworks with high structural complexity. The biodiversity and functioning of marine animal forests are strictly related to their 3D complexity. The present paper aims at providing new perspectives in underwater optical surveys. Starting from the current gaps in data collection and analysis that critically limit the study and conservation of marine animal forests, we discuss the main technological and methodological needs for the investigation of their 3D structural complexity at different spatial and temporal scales. Despite recent technological advances, it seems that several issues in data acquisition and processing need to be solved, to properly map the different benthic habitats in which marine animal forests are present, their health status and to measure structural complexity. Proper precision and accuracy should be chosen and assured in relation to the biological and ecological processes investigated. Besides, standardized methods and protocols are strictly necessary to meet the FAIR (findability, accessibility, interoperability, and reusability) data principles for the stewardship of habitat mapping and biodiversity, biomass, and growth data.File | Dimensione | Formato | |
---|---|---|---|
[2021] Perspective Frontier591292_Manuscript.PDF
Open access
Tipologia:
Versione pubblicata dall'editore
Dimensione
1.43 MB
Formato
Adobe PDF
|
1.43 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris