4.7 Review

A modelling framework to assess multiple metals impacts on marine food webs: Relevance for assessing the ecological implications of deep-sea mining based on a systematic review

Journal

MARINE POLLUTION BULLETIN
Volume 191, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2023.114902

Keywords

Contamination; Bioaccumulation; Trophic; Model; Trace element; ERA

Ask authors/readers for more resources

This study conducted a systematic review to look for models of metal effects on aquatic biota, with the aim of supporting the Environmental Risk Assessment (ERA) of deep-sea mining. The results show a strong bias towards freshwater species in metal effects research, with Cu, Hg, Al, Ni, Pb, Cd, and Zn being the most studied metals. Limited species studies and a lack of understanding of metal effects on marine ecosystems hinder the ERA of deep-sea mining. The study proposes future research directions and a modelling framework to predict the effects of metals on marine food webs.
Industrial deep-sea mining will release plumes containing metals that may disperse over long distances; however, there is no general understanding of metal effects on marine ecosystems. Thus, we conducted a systematic review in search of models of metal effects on aquatic biota with the future perspective to support Environmental Risk Assessment (ERA) of deep-sea mining. According to results, the use of models to study metal effects is strongly biased towards freshwater species (83% freshwater versus 14% marine); Cu, Hg, Al, Ni, Pb, Cd and Zn are the best-studied metals, and most studies target few species rather than entire food webs. We argue that these limitations restrain ERA on marine ecosystems. To overcome this gap of knowledge, we suggest future research directions and propose a modelling framework to predict the effects of metals on marine food webs, which in our view is relevant for ERA of deep-sea mining.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available