TY - JOUR
T1 - Characterizing soft-bottom epibenthic megainvertebrate communities of the Mediterranean continental shelf: a biogeographic approach
AU - Millot, Jade
AU - Vaz, Sandrine
AU - Hattab, Tarek
AU - Smith, Christopher J.
AU - Dominguez-Carrio, Carlos
AU - Guijarro, Beatriz
AU - Certain, Gregoire
AU - Gerovasileiou, Vasilis
AU - Georges, Vincent
AU - Stamouli, Caterina
AU - Casini, Michele
AU - Manfredi, Chiara
AU - Fanelli, Emanuela
AU - Garofalo, Germana
AU - Fabri, Marie-Claire
AU - Massi, Daniela
AU - Jadaud, Angelique
AU - Profeta, Adriana
AU - Carbonara, Pierluigi
AU - Lefkaditou, Evgenia
AU - Petovic, Slavica
AU - Evangelopoulos, Athanasios
AU - Kamidis, Nikolaos
AU - Thasitis, Ioannis
AU - Mifsud, Jurgen
AU - Camilleri, Kelly
AU - Lauria, Valentina
PY - 2026
Y1 - 2026
N2 - Partitioning of the Mediterranean basin has so far mainly focused on surface waters, relying on biogeochemical and hydrological data while the Mediterranean seafloor has received much less attention. Bioregions are essential units for conservation planning, as they provide a framework for designing representative networks of protected areas. Therefore, seafloor-specific bioregions are needed to support the management and conservation of benthic ecosystems. While benthic habitat mapping is generally based on macrofaunal patterns, we propose the first mesoscale partitioning of the Mediterranean seabed based on epibenthic megainvertebrate communities. Benthic records from the MEDITS programme (International Mediterranean Bottom Trawl Survey) were used to partition the Mediterranean soft bottoms. Using k-means clustering combined with Random Forest modelling, we grouped sites according to similarities in biotic composition and predicted their distribution in relation to environmental variables. The analysis was conducted independently across four sub-basins: the Western Mediterranean, the Central Mediterranean, the Adriatic Sea, and the Aegean Sea. This approach identified 16 distinct bioregions, each characterized by unique epibenthic megainvertebrate communities. The partitioning revealed a pronounced bathymetric gradient, with deep-sea bioregions showing a more homogeneous set of indicator taxa and greater similarity across regions compared to the more distinct communities found on the shelf and slope. These coherent bioregions can serve as spatial units to enhance the representativeness of conservation priority networks and provide a valuable complement to the existing EUNIS seabed habitat classification, which does not explicitly account for vulnerable epibenthic megainvertebrate communities.
AB - Partitioning of the Mediterranean basin has so far mainly focused on surface waters, relying on biogeochemical and hydrological data while the Mediterranean seafloor has received much less attention. Bioregions are essential units for conservation planning, as they provide a framework for designing representative networks of protected areas. Therefore, seafloor-specific bioregions are needed to support the management and conservation of benthic ecosystems. While benthic habitat mapping is generally based on macrofaunal patterns, we propose the first mesoscale partitioning of the Mediterranean seabed based on epibenthic megainvertebrate communities. Benthic records from the MEDITS programme (International Mediterranean Bottom Trawl Survey) were used to partition the Mediterranean soft bottoms. Using k-means clustering combined with Random Forest modelling, we grouped sites according to similarities in biotic composition and predicted their distribution in relation to environmental variables. The analysis was conducted independently across four sub-basins: the Western Mediterranean, the Central Mediterranean, the Adriatic Sea, and the Aegean Sea. This approach identified 16 distinct bioregions, each characterized by unique epibenthic megainvertebrate communities. The partitioning revealed a pronounced bathymetric gradient, with deep-sea bioregions showing a more homogeneous set of indicator taxa and greater similarity across regions compared to the more distinct communities found on the shelf and slope. These coherent bioregions can serve as spatial units to enhance the representativeness of conservation priority networks and provide a valuable complement to the existing EUNIS seabed habitat classification, which does not explicitly account for vulnerable epibenthic megainvertebrate communities.
KW - Bioregionalization
KW - Community structure
KW - Conservation planning
KW - Habitat mapping
KW - K-means
KW - Machine learning
KW - Marine environment
KW - Mediterranean
KW - Megainvertebrates
KW - Epifauna
KW - Bioregionalization
KW - Community structure
KW - Conservation planning
KW - Habitat mapping
KW - K-means
KW - Machine learning
KW - Marine environment
KW - Mediterranean
KW - Megainvertebrates
KW - Epifauna
UR - https://res.slu.se/id/publ/146535
U2 - 10.1016/j.marenvres.2026.107951
DO - 10.1016/j.marenvres.2026.107951
M3 - Journal article
C2 - 41795394
SN - 0141-1136
VL - 217
JO - Marine Environmental Research
JF - Marine Environmental Research
M1 - 107951
ER -