RT journal article
T1 Exploring visual methods for monitoring marine non-indigenous species colonizing artificial structures in the Madeira archipelago (NE Atlantic)
A1 Álvarez, Soledad
A1 Gestoso García, Ignacio José
A1 Ramalhosa, Patrício
A1 Canning-Clode, João
A2 Biología
K1 Artificial structures
K1 Atlantic
K1 Bioinvasion
K1 Fouling communities
K1 Image analysis
K1 Management
AB The introduction of non-indigenous species (NIS) poses a significant threat to biodiversity in coastal communities globally, with maritime traffic serving as a primary vector for introducing these species into new habitats. Managing potential new marine invasions begins in harbours and marinas, where artificial structures are the first step towards establishing new habitats. In this study, we aimed to examine and compare the performance of three methods: Plate, Photo quadrate, and a new Video approach, using image analysis for monitoring fouling communities in artificial structures, with a specific focus on NIS in marinas. Additionally, we evaluated attributes for each method, including cost, area, deployment/sampling time, and logistics, to determine the most reliable, efficient, and affordable method with respect to species richness (S) and cover (N). The video (VID) method performed similarly to the plate (PLA) method in species identification and outperformed the photo (PHO) method. The VID method represents a novel and faster approach for monitoring NIS in artificial structures, offering several advantages. It allows data gathering that can be performed by non-taxonomic experts, facilitating rapid detection and intervention in managing marine invasions in port environments. By assessing the effectiveness of these methods, we sought to contribute to developing improved strategies and faster approaches for monitoring and mitigating the impact of NIS in coastal communities.
PB Elsevier B.V.
SN 2352-4855
YR 2024
FD 2024
LK http://hdl.handle.net/10498/32415
UL http://hdl.handle.net/10498/32415
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 15-nov-2026