DOAJ Open Access 2023

Distribution patterns of marine megafauna density in the Mediterranean Sea assessed through the ACCOBAMS Survey Initiative (ASI)

Ana Cañadas Nino Pierantonio Hélder Araújo Léa David Nathalie Di Meglio +10 lainnya

Abstrak

The ACCOBAMS Survey Initiative (ASI) is the first synoptic large-scale survey of the entire ACCOBAMS Area and as such it plays a key role in filling the current gaps in our biological and ecological knowledge of large vertebrate species occurring in the region. Data gathered during the ASI were analyzed in a distance sampling surface-modelling framework to assess the summer distribution, densities and patterns, as well as to investigate the correlates of these parameters, for large vertebrate species and taxa in the Mediterranean Basin. Static and dynamic explanatory variables, including water depth (m), distance to depth contours (km), distance to canyons and seabed slope (km), sea surface temperature (°C), mixed layer depth (m) and levels of chlorophyll-a (mg/l), were considered to predict density and compute its variance spatially at a resolution of 10x10 km. A strong longitudinal gradient from low densities in the east to high densities in the west is shared by most taxa. In addition, several taxa also showed a less marked latitudinal gradient varying in direction according to species, and finally, a few of them exhibited patchy distributions.

Penulis (15)

A

Ana Cañadas

N

Nino Pierantonio

H

Hélder Araújo

L

Léa David

N

Nathalie Di Meglio

G

Ghislain Dorémus

J

Joan Gonzalvo

D

Draško Holcer

D

Draško Holcer

S

Sophie Laran

G

Giancarlo Lauriano

M

Morgane Perri

V

Vincent Ridoux

J

Jose Antonio Vázquez

S

Simone Panigada

Format Sitasi

Cañadas, A., Pierantonio, N., Araújo, H., David, L., Meglio, N.D., Dorémus, G. et al. (2023). Distribution patterns of marine megafauna density in the Mediterranean Sea assessed through the ACCOBAMS Survey Initiative (ASI). https://doi.org/10.3389/fmars.2023.1270917

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3389/fmars.2023.1270917
Akses
Open Access ✓