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Mapping cumulative impacts of invasive alien species on ecosystem services

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## Our Take: Quantifying the Complex Footprint of Invasive Species on Ocean Ecosystems

Mapping cumulative impacts of invasive alien species on ecosystem services

The escalating threat of invasive alien species (IAS) to marine ecosystems is well-documented, but understanding the *cumulative* impacts across multiple ecosystem services (ES) has remained a significant challenge. This new research, introducing the Cumulative IMPacts of IAS on Ecosystem Services (CIMPAL-ES) index, represents a crucial step forward in addressing this complexity. The development of a quantitative tool to assess the spatial distribution of these impacts, integrating species ecology, reported magnitudes, and supporting evidence, allows for a more nuanced and actionable understanding of the challenges we face. It builds upon existing efforts to model and predict species spread, such as those detailed in Predicting the spread of marine non-native species and the ongoing research into understanding the mechanisms driving biological invasions, as explored in Biological invasions: mechanisms, processes, and management strategies. The ability to move beyond isolated assessments of individual species and instead consider the combined effects on services like food provision, lifecycle maintenance, and even cognitive benefits (related to recreation and tourism) is a paradigm shift in how we approach marine conservation.

The application of the CIMPAL-ES index in two distinct case studies – the Mediterranean and Aegean Seas – highlights its versatility and adaptability across varying spatial scales and data availability. The finding that Food Provision was the most impacted service in the Mediterranean, reflecting the intricate interplay between fisheries, aquaculture, and IAS disruption, underscores the socioeconomic consequences of these ecological changes. Similarly, identifying Lifecycle Maintenance as the most negatively impacted service in the Aegean Sea highlights the potential for cascading effects throughout the food web. The methodology’s robustness is further supported by the sensitivity analysis, demonstrating a strong correlation between impact weights and spatial rankings, retaining a high percentage of identified hotspots. This suggests that the index provides a reliable baseline for tracking changes and evaluating the effectiveness of management strategies. The research also acknowledges the inherent limitations, emphasizing that the index represents the "best current estimate" and will require refinement as data improve—a critical point of scientific honesty and transparency.

The significance of this work extends beyond simply identifying hotspots of impact. The CIMPAL-ES index offers a framework for targeted and effective IAS management, moving away from broad, reactive measures towards proactive, evidence-based interventions. By pinpointing key ecosystem services and species most vulnerable to cumulative impacts, resource managers can prioritize efforts and allocate resources more efficiently. This is particularly relevant in regions facing multiple stressors, including climate change and pollution, where the synergistic effects of IAS can exacerbate existing vulnerabilities. The index’s ability to quantify both positive and negative impacts is also noteworthy, recognizing that some IAS may provide localized benefits while simultaneously causing widespread harm. Understanding this complexity is essential for developing sustainable management solutions that minimize negative consequences while maximizing potential benefits – a concept explored in detail in The ecological consequences of coastal ecosystem engineering by invasive mussels.

Looking ahead, the refinement and broader application of the CIMPAL-ES index will be crucial for informing marine conservation efforts worldwide. A key question to watch is how this framework can be integrated with predictive models of species spread and climate change scenarios to anticipate future impacts and proactively mitigate risks. The development of standardized data collection protocols and the integration of citizen science initiatives could further enhance the index’s accuracy and accessibility, enabling a more comprehensive assessment of IAS impacts across diverse marine ecosystems. Ultimately, the success of this approach will depend on fostering collaboration between researchers, policymakers, and local communities to translate scientific findings into effective on-the-ground action.

Marine invasive alien species (IAS) play a transformative role in ecosystems, driving ecological changes and affecting ecosystem services (ES) and socio-economic systems. Each IAS uniquely influences ecosystems, causing negative or positive impacts of varying intensities across locations, which collectively result in cumulative impacts. To address these complexities, we developed the Cumulative IMPacts of IAS on Ecosystem Services (CIMPAL-ES) index. This index combines the spatial distribution of IAS and ecosystem services with the reported magnitude of impacts and the strength of supporting evidence, providing a quantitative score of cumulative impacts for a given area. We applied this method to two case studies, the Mediterranean Sea and the Aegean Sea, to evaluate its applicability across distinct spatial scales and datasets. In the Mediterranean, we analyzed 80 IAS using a classification of 14 ES. Documented positive and negative impacts were identified for 12 of these services and mapped on a 100 km² grid based on species ecology and affected area. For the Aegean Sea, we applied the same approach for 30 IAS on a finer 1 km² grid. The results revealed marked variability among IAS, with some exerting exclusively positive or negative effects, while others had mixed impacts, benefiting certain services while negatively affecting others. Food provision was the most impacted ES in the Mediterranean, displaying both positive and negative effects. In the Aegean Sea, lifecycle maintenance was the most negatively impacted service, while cognitive effects showed the highest positive impacts. The CIMPAL-ES index highlighted strong spatial heterogeneity, identifying hotspots of cumulative impacts. In the Mediterranean sensitivity analysis, mean and median impact weights were strongly correlated with the baseline spatial rankings and retained 85.3–91.7% of identified hotspots. These findings represent the best current estimate of spatial variation in IAS impacts on ecosystem services in the Mediterranean Sea. The proposed methodological framework provides a baseline for refinement as more precise data become available, offering actionable insights for management. By identifying hotspots of negative and positive impacts and highlighting key ecosystem services and species, this approach can support targeted and effective IAS management.

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