Long-term ecological health assessment of the yellow river estuary (2003−2022) using an EQR-standardized PSR framework with entropy weighting
Estuaries are highly valuable but increasingly engineered ecosystems, where apparent recovery may reflect direct management inputs rather than autonomous ecological improvement. Existing PSR- and DPSIR-type assessments rarely separate these signals, potentially inflating recovery diagnoses. Therefore, we developed a management-adjusted Pressure-State-Response and Ecological Quality Ratio (PSR-EQR) framework for the Yellow River Estuary (YRE) using a continuous 2003–2022 monitoring record. The 24-indicator framework partitions the Response domain into management-response indicators, such as ecological water supplementation and wetland-protection effort, and biotic-response indicators, such as fish early-life-stage and benthic-community metrics. Each indicator was transformed to a 0–1 EQR using cost-, benefit-, or optimum-type functions against auditable benchmarks, weighted with the Entropy Weight Method, and examined with exploratory PCA after correlation-guided block aggregation. The results showed that the full PSR trajectory was inverted-N-shaped, declining from 0.685 in 2003 to 0.428 in 2016 and rebounding to 0.715 in 2022. The 2016 minimum coincided with severe summer hypoxia (DO = 2.1 mg/L) and opportunistic benthic dominance. After 2019, State and biotic-response indicators improved, but management-response indicators reached benchmark conditions earlier. The ecological-core diagnosis therefore indicated slower intrinsic recovery than the full score, highlighting continuing management dependence. The framework provides a transferable approach for highly engineered estuaries by separating ecological condition from direct management inputs while preserving PSR-EQR comparability.
Authors
- Longjiang Han
- Xiaoli Song (ORCID: https://orcid.org/0000-0001-6000-3754)
- S Liu (ORCID: https://orcid.org/0000-0001-8114-4353)
- Sheng Zhao (ORCID: https://orcid.org/0000-0002-9624-5381)
- Wei Tao (ORCID: https://orcid.org/0000-0002-4277-3728)
- Hongbin Han
- Yong Liu
- Honghua Shi
Institutions
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN)
- Ministry of Natural Resources (RW)
- Ocean University of China (CN)
- Shandong University of Science and Technology (CN)
Publication Details
- Journal
- Ecological Indicators
- Published
- 2026-07-16
- DOI
- https://doi.org/10.1016/j.ecolind.2026.115181
- Primary Topic
- Marine and fisheries research
- Type
- article
- Field-Weighted Citation Impact
- 0.00