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1. Monitoring ecosystem services is essential for achieving sustainability and biodiversity goals, yet existing monitoring programmes are fragmented, siloed, and not designed to detect or attribute change in ecosystem services.
2. We applied the Essential Ecosystem Service Variables (EESV) framework within a social-ecological network model to integrate three decades of ecological, economic, and social monitoring data from the Pacific salmon fisheries of British Columbia, Canada. Using Bayesian state-space models, we analysed the coupled provisioning (commercial) and cultural (recreational) services provided by five salmon species across six regions.
3. Our models revealed complex, species- and location-specific dynamics, including regional declines in Chum salmon abundance, long-term reductions in commercial fishing effort, and diverging trends between commercial and recreational harvests, with recreational catchability consistently higher than commercial catchability.
4. Trade-offs between provisioning and cultural services were particularly evident for Chinook and Coho salmon, where recreational and commercial harvest rates displayed opposing trends, highlighting competition among user groups.
5. The modelling process exposed the limitations of current monitoring systems: many model structures failed to converge, key external drivers (e.g. sea surface temperature and hatchery releases) could not be reliably incorporated, and predictive accuracy was consistently poor for anthropogenic and governance components, demonstrating that existing monitoring programmes cannot support confident causal attribution of change.
6. Despite these limitations, the integration of siloed datasets recovered known dynamics and provided valuable insights, showing that social-ecological network models can serve both as analytical tools and diagnostics of monitoring capacity, providing an empirically supported mandate for the fundamental redesign of monitoring systems. To effectively manage ecosystem services and meet global sustainability targets, nations must move beyond fragmented data collection and build integrated, holistic monitoring programs that co-measure ecological, social, and governance variables by design, enabling an evidence-based understanding of our planet's vital human-nature systems.
https://doi.org/10.32942/X2M36H
Life Sciences
monitoring, Essential Variables, social-ecological network, ecosystem services, Pacific salmon monitoring, Essential Variables, Social-ecological network, Ecosystem Services, Pacific salmon monitoring
Published: 2025-10-09 12:32
Last Updated: 2025-10-09 12:32
CC-BY Attribution-NonCommercial 4.0 International
Data and Code Availability Statement:
Data and scripts for this article are available at https://github.com/FlavAff/SalmonSEN
Language:
English
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