Needs and Gaps in Optical Underwater Technologies and Methods for the Investigation of Marine Animal Forest 3D-Structural Complexity

9 pages, 2 figures.-- Data Availability Statement: All datasets generated for this study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s
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
This perspective manuscript is the result of the 3DSeaFor online workshop funded by EUROMARINE Call 2019 Foresight Workshops. This work was partially supported by an Italian Research Projects of National Interest (PRIN), funded by the Italian Ministry of University and Research: “Reef ReseArcH – Resistance and resilience of Adriatic mesophotic biogenic habitats to human and climate change threats” (Call 205; Prot. 2015J922E; 2017-2020) and by the TAO (Tecnologie per il monitorAggio cOstiero) project in the frame of the program POR-FESR (European Regional Development Fund, ERDF) 2014-2020 of the Emilia-Romagna Region. This work was partially supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation
With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)