Using a food web model to predict the effects of Hazardous and Noxious Substances (HNS) accidental spills on deep-sea hydrothermal vents from the Mid-Atlantic Ridge (MAR) region

• Tipo: Artigo em Revista Científica Internacional
• Data: 2024

Autores

Guerra, A (Autor) Outra; Azevedo, A (Autor) Outra; Amorim, F (Autor) Outra; Soares, J (Autor) Outra; Neuparth, T (Autor) Outra; Santos, MM (Autor) FCUP; Martins, I (Autor) Outra; Colaco, A (Autor) Outra

Revista

Título: Marine Pollution Bulletin

Vol. 199

ISSN: 0025-326X

Editora: Elsevier

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Z-RHQ

DOI: 10.1016/j.marpolbul.2023.115974

Abstract (EN): Deep-sea hydrothermal vents host unique ecosystems but face risks of incidents with Hazardous and Noxious Substances (HNS) along busy shipping lanes such as the transatlantic route. We developed an Ecopath with Ecosim (EwE) model of the Menez Gwen (MG) vent field (MG-EwE) (Mid -Atlantic Ridge) to simulate ecosystem effects of potential accidental spills of four different HNS, using a semi-Lagrangian Dispersion Model (sLDM) coupled with the Regional Ocean Modelling System (ROMS) calibrated for the study area. Food web modelling revealed a simplified trophic structure with low energy efficiency. The MG ecosystem was vulnerable to disruptions caused by all tested HNS, yet it revealed some long-term resilience. Understanding these impacts is vital for enhancing Spill Prevention, Control, and Countermeasure plans (SPCC) in remote marine areas and developing tools to assess stressors effects on these invaluable habitats.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15