The big picture: appraising the risk of cumulative impacts on seagrass meadows in the Mediterranean Sea

Human well-being and societal resilience are deeply tied to marine coastal ecosystems, yet they are threatened by multiple endogenic and exogenic pressures. This study implements a MAchine leaRnIng-based CumulaTive Impact AssessMEnt (MARITIME) model to understand better the risk of cumulative impacts on seagrass meadows in the Mediterranean Sea and their cascading effects on the capacity to provide ecosystem services for this vital blue carbon ecosystem under a reference state (2017) and future climate change scenarios, which encompass various levels of global warming, from moderate to more extreme. The model employs a Random Forest algorithm to support robust, data-driven analysis of complex environmental interactions. The results indicate a shrinkage of seagrass meadows, particularly at lower depths, and a corresponding reduction in ecosystem services capacity by the years 2050 and 2100. This trend is notably severe across the entire Mediterranean basin in the long-term scenario, with an estimated reduction of approximately 20 % in seagrass distribution under the most severe scenario considered in this study (RCP8.5 projected to the end of the century). Such shrinkage may trigger further impacts, starting with a decline in ecosystem service provision: model projections indicate a potential decrease of approximately 3.5 %–6 % in carbon sequestration and up to 20 % in denitrification potential by the century's end, contingent upon the scenario considered. Furthermore, the loss of seagrass could also lead to the release of buried carbon, potentially transforming Mediterranean coastal areas from carbon sinks into sources of carbon emissions - a phenomenon likened to a ‘carbon bomb.’ • MARITIME model evaluates cumulative impacts on seagrass meadows using machine learning. • MARITIME model identifies patterns of interaction among pressures. • The model predicts severe meadow loss under long-term climate scenarios. • Analysis highlights the risk of carbon release (‘carbon bomb’) from degraded meadows. • MARITIME enables data-driven insights for marine conservation and policy development.

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Publication Details

Journal
Ecological Informatics
Published
2025-10-07
DOI
https://doi.org/10.1016/j.ecoinf.2025.103461
Citations
1
Primary Topic
Marine and coastal plant biology
Type
article
Field-Weighted Citation Impact
1.79
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article

The big picture: appraising the risk of cumulative impacts on seagrass meadows in the Mediterranean Sea

Rémy Simide, Andrea Critto, Antonio Marcomini, Elisa Furlan et al.
1 citations
Ecological Informatics
Marine and coastal plant biology
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article

The big picture: appraising the risk of cumulative impacts on seagrass meadows in the Mediterranean Sea

Rémy Simide, Andrea Critto, Antonio Marcomini, Elisa Furlan, Sebastiano Vascon, Angelica Bianconi, Christian Simeoni, Vuong T. Pham
article en
1 citations

Abstract

Human well-being and societal resilience are deeply tied to marine coastal ecosystems, yet they are threatened by multiple endogenic and exogenic pressures. This study implements a MAchine leaRnIng-based CumulaTive Impact AssessMEnt (MARITIME) model to understand better the risk of cumulative impacts on seagrass meadows in the Mediterranean Sea and their cascading effects on the capacity to provide ecosystem services for this vital blue carbon ecosystem under a reference state (2017) and future climate change scenarios, which encompass various levels of global warming, from moderate to more extreme. The model employs a Random Forest algorithm to support robust, data-driven analysis of complex environmental interactions. The results indicate a shrinkage of seagrass meadows, particularly at lower depths, and a corresponding reduction in ecosystem services capacity by the years 2050 and 2100. This trend is notably severe across the entire Mediterranean basin in the long-term scenario, with an estimated reduction of approximately 20 % in seagrass distribution under the most severe scenario considered in this study (RCP8.5 projected to the end of the century). Such shrinkage may trigger further impacts, starting with a decline in ecosystem service provision: model projections indicate a potential decrease of approximately 3.5 %–6 % in carbon sequestration and up to 20 % in denitrification potential by the century's end, contingent upon the scenario considered. Furthermore, the loss of seagrass could also lead to the release of buried carbon, potentially transforming Mediterranean coastal areas from carbon sinks into sources of carbon emissions - a phenomenon likened to a ‘carbon bomb.’ • MARITIME model evaluates cumulative impacts on seagrass meadows using machine learning. • MARITIME model identifies patterns of interaction among pressures. • The model predicts severe meadow loss under long-term climate scenarios. • Analysis highlights the risk of carbon release (‘carbon bomb’) from degraded meadows. • MARITIME enables data-driven insights for marine conservation and policy development.

Ecological InformaticsVol. 92
Ca' Foscari University of Venice (IT), Istituto Universitario di Studi Superiori di Pavia (IT), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), European Centre for Living Technology (IT), Institut Océanographique (FR)
Openalex Percentile: Top 13%
Marine and coastal plant biology
1.79
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