Dries Lorré, Sara Vandamme, Ulrike Braeckman, Colin R Janssen, and Jana Asselman (2025)
Quantitative approach for assessing risks and benefits to the supply of ecosystem services in response to human activities
Science of the Total Environment, 979(179504):1-14.
Escalating human activities threaten ecosystems and the benefits they provide, known as ecosystem services (ES).
Despite the recognized importance of ES for both ecological health and human well-being, integrated methods
for evaluating ES within decision-making frameworks remain limited. Current environmental assessments, such
as ecological risk assessment (ERA), typically focus on risks to specific endpoints such as survival, growth and
reproduction of test species without capturing broader ecosystem risks and benefits. This study introduces a
novel method designed to quantitatively assess risks and benefits to ES supply by integrating ES as assessment
endpoints within ERA. Using cumulative distribution functions, we establish risk and benefit thresholds and
calculate the probability and magnitude of exceeding these following human interventions. The method was
tested by quantifying risk and benefit metrics for a regulating ES, waste remediation, in three marine offshore
case studies: an existing offshore wind farm, a hypothetical mussel longline culture, and a multi-use scenario
combining both. The results enabled detailed comparisons of the probability and magnitude of creating risks and
providing benefits across scenarios, demonstrating the utility of cumulative distribution functions for both
visualizing and quantifying risks and benefits to ES supply. This generic and broadly applicable method can
evaluate ES trade-offs regardless of the ecosystem under study, providing a valuable tool to operationalize the integration of ES into decision-making and environmental management frameworks.
Impact Factor
• Integration of ecosystem services (ES), into ecological risk assessment (ERA)., • Cumulative distribution functions are, used to derive ES risk and benefit, metrics., • The ERA-ES methodology is generic and, broadly applicable., • Practical implementation should include, multiple ecosystem services.
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