Multivariate indicators for fisheries and ecosystem assessment
indicators
multivariate analysis
ecosystem assessment
decision support
Developing interpretable multivariate indicators that integrate biological, spatial, environmental, and fishing dimensions for stock and ecosystem diagnosis.
Scientific question
How can heterogeneous biological, fisheries, spatial, and environmental indicators be integrated into transparent and interpretable diagnostics of stock and ecosystem state?
Scope
This programme develops frameworks for combining indicators without obscuring their ecological meaning, temporal behaviour, uncertainty, or management relevance.
Methods
- Indicator screening, redundancy analysis, and dimensional reduction.
- Selection of representative indicators and assessment of domain dominance.
- Transformation, standardization, biological orientation, and weighting diagnostics.
- Dynamic and static multivariate integration.
- Sensitivity, uncertainty, and robustness analysis.
- Change-point, regime, and threshold detection.
- Pressure–state interpretation and management-oriented visualization.
Current status
Active methodological programme associated with multidimensional anchovy stock-state analyses and broader pressure–state applications in marine and fisheries assessment.
Expected outputs
- Multivariate indicator frameworks and diagnostic protocols.
- Peer-reviewed manuscripts and conference contributions.
- Reproducible code for indicator construction and evaluation.
- Visual products for communicating multidimensional stock condition.
Repository architecture
This is a programme-level record. Method-specific software and paper repositories will be linked as independent source-of-truth components after their repository audits.