The RECOR monitoring network, initiated in 2010, concerns the monitoring of coralligenous assemblages. It is operated by Andromède Océanologie with the support of the Rhone Mediterranean and Corsica Water Agency and OSU-OREME. It covers the entire French Mediterranean coastline bordered by three regions : Corsica, the South region, and Occitania. The objectives of this network are to collect descriptive data on the state and functioning of coralligenous assemblages according to an adapted and standardized methodology and to follow their evolution in time and space. This network is in line with Article 8 of the European Directive 2000/60/EC of October 23, 2000, since it completes the status of marine waters (also required by the Marine Strategy Framework Directive (MSFD, 2008/56/EC)) and also meets the obligations of the monitoring program of the Marine Environment Action Plan of the Western Mediterranean sub-region.
On the entire French Mediterranean coast, RECOR includes 125 sites corresponding to 211 stations (one station = one depth) distributed between 17 and 120 meters deep (figure in August 2022). This network also extends into foreign Mediterranean waters such as Sardinia (Italy) or Monaco. In total, the network includes 154 sites corresponding to 240 stations (figure in August 2022). Each year, a French region is monitored at the end of spring (May-June) in order to cover the whole coastline every three years. Some RECOR sites are also monitored for ichthyological populations (PISCIS network), background temperature (CALOR network), acoustic listening (CALME network) and 3D modeling by photogrammetry (MODEL network).
The « Agriates_Sud » Coralligenous site off the Agriates Desert in Corsica (Laurent Ballesta ©, 2020)
On the basis of a bibliographical synthesis dealing with the coralligenous and a comparison with the studies and methodologies carried out in the coral environment (more than 70 international publications and reports), we take into account three types of descriptors for the monitoring of the coralligenous communities : a general description of the site (abiotic factors), the visible fixed species and the demography of the erected species. A descriptive brochure (Material and methods) of this monitoring network is available on the website.
At each sampling station, 30 photographs of 50 x 50 cm quadrats are taken using a Nikon D810 camera (24×36 mm sensor, 36.3 million pixel resolution) at the same depth along a 20 m transect (Deter et al., 2012b). During photo analysis, CPCe software randomly distributes 64 points across each quadrat. Identifying the nature of the species or substrate on which these points are placed allows calculation of percent cover by different substrates and taxa (Deter et al., 2012b, 2012a).
Illustration of the quadrat photography method (© Andromède océanologie).
About 100 quantitative variables are extracted from these results : percentages of total cover by non-living (cavities, substrates (mud, sand, rock), biological debris, macro-waste) and living, and the relative proportions of different taxa/categories of interest among the living. In total, more than 220 species can be identified.
Photographic quadrat being analyzed with CPCe software with random positioning of 64 points (© Andromède océanologie).
For each RECOR station, all these data are summarized through : (1) the 30 photographic quadrats ; (2) a table detailing about forty variables from the analysis of these quadrats (for each detailed parameter a pictorial cursor places the observed value in the regional context (minimum, maximum and average values observed on all the sampled sites) ; (3) a diagram of the distribution of the different taxa among the living organisms (relative abundance). At each site we estimate the density, size structure and status of erect species (gorgonians) to monitor the health of the populations.
You can access the complete ‘Coralligenous’ (photographic quadrat analysis) and ‘Gorgonian’ (erect species demography) monitoring sheets, as well as general station information : station name, illustration, depth, Coralligenous Assemblage Index (CAI ; Deter et al., 2012a), % sedimentation, % major bio-constructors, Disturbance Indicator, and 3D model, directly on the platform by clicking on the “Access maps” button, just below. You will also find a comparison tool, which will allow you to compare about thirty parameters resulting from the analysis of photographic quadrats from the CPCe software for each RECOR station and this at different spatial scales of comparison (Mediterranean, Region, Coastal water body).
The demography of erect species (mainly gorgonians such as Paramuricea clavata) is carried out on each RECOR site : density, size structure and state of the species (necrosis) (Laurent Ballesta ©, 2020)
Contacts : Gwenaëlle Delaruelle (gwenaelle.delaruelle@andromede-ocean.com) / Julie Deter (julie.deter@andromede-ocean.com)
Project leader : Andromède Océanologie – andromede-ocean
Update frequency : Annual monitoring by region (each region, Occitanie/PACA West, PACA East and Corsica, is monitored every three years).
Partners : Rhone Mediterranean and Corsica Water Agency and OSU-OREME
• A Visual Basic program for the determination of coral and substrate coverage (Kohler & Gill 2006)
• New multidimensional functional diversity indices (Villéger et al., 2008)
• An index based on coralligenous assemblages : CAI (Deter et al., 2012)
• A photographic method detects depth gradient in coralligenous (Deter et al., 2012)
• Mapping biodiversity in three-dimensions challenges marine conservation strategies (Doxa et al., 2015)
• Fine-Scale Cartography of Human Impacts along French Mediterranean Coasts (Holon et al., 2015)
• Interactions entre écosystèmes marins et pressions anthropiques (Holon 2015)
• Taxonomic and functional diversity increase the aesthetic value of coralligenous reefs (Tribot 2016)
• Esthétique et Biodiversité des écosystèmes sous-marins (Tribot 2017).
• Integrating the aesthetic value of landscapes and diversity (Tribot et al., 2018)
• Deep convolutional neural networks to monitor coralligenous (Marre et al., 2020).