This article explores the critical divergence between scientifically modeled ecosystem service potentials and stakeholder perceptions, a challenge with profound implications for sustainable landscape management and biomedical innovation.
This article addresses the critical challenge of aligning large-scale ecosystem service (ES) models with localized, ground-truthed data.
This article provides a comprehensive examination of the trade-offs and synergies between ecosystem services under alternative land use scenarios, addressing a critical challenge in sustainable land management.
This article explores the paradigm shift from single-model reliance to ensemble modeling for enhancing predictive accuracy in complex systems.
This article provides a comprehensive comparative analysis of established and emerging ecosystem service valuation methods, addressing a critical need for researchers and scientists engaged in environmental assessment and policy development.
This article synthesizes current research on the critical comparison between data-driven ecosystem services (ES) models and stakeholder perceptions.
This article synthesizes advanced methodologies for designing and evaluating forest treatment schedules to optimize the provision of multiple ecosystem services (ES).
This article provides a comprehensive framework for understanding and managing trade-offs and synergies among multiple ecosystem services, tailored for researchers and environmental professionals.
Integrated Ecosystem Services (ES) assessments are crucial for informing sustainable development and conservation policies, yet their reliability is often hampered by validation gaps, methodological inconsistencies, and fragmented data.
This article addresses the critical 'certainty gap' in ecosystem services (ES) modeling—the uncertainty about model accuracy that hinders their use in decision-making.