Extended Valuation of Coral Reef Ecosystem Services (2017–2025): Model and Policy Insight | ||
| Egyptian Journal of Aquatic Biology and Fisheries | ||
| Volume 29, Issue 5, September and October 2025, Pages 827-844 PDF (657.5 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejabf.2025.415203.6425 | ||
| Authors | ||
| Yudi Wahyudin* 1; Mahipal Mahipal2; Septa Riadi3; Esza Cahya Dewantara4; Muhammad Yuusuf Wahyudin5; Muhammad Nur Hussein Wahyudin6; Adinda Aisyah Puteri Wahyudin7 | ||
| 1Jln. Tol Ciawi No.1, Ciawi-Bogor, Jawa Barat, Indonesia | ||
| 2Department of Law, Faculty of Law, Universitas Pakuan | ||
| 3Department of Management, Faculty of Economic and Business, Sang Bumi Ruwa Jurai Unversity | ||
| 4Department of Marine Science, Faculty of Agriculture, Sultan Ageng Tirtayasa University | ||
| 5Department of Agribusiness, Faculty of Agriculture, Djuanda University | ||
| 6Department of Law, Graduated School, Universitas Pakuan | ||
| 7Department of Law, Faculty of Law, Pakuan University | ||
| Abstract | ||
| The coral reefs are the most commercially and ecologically significant coastal ecosystems, yet human activity, especially vessel-grounded operations and environmental stresses are posing a growing threat to their survival. To assess the effectiveness of linear and nonlinear models in valuing coral reef ecosystem services, this study builds on earlier research by combining data (2017-2025) from the Ministry of Environment, Ministry of Maritime Affairs and Fisheries, Ministry of Forestry, and associated agencies. The dependent variable is the ecosystem services value (V, millions of Rupiah/m²/year), whereas the independent variables are the year of observation (t), coral reef quality (Q, %), and distance from the shore (D, km). According to the analysis's findings, the linear model yielded an R-square value of 0.2193 (Significance F= 0.0230), and the value of ecosystem services was strongly influenced by coral reef quality (P= 0.01998) and distance from the coast (P= 0.04918). The non-linear model, on the other hand, did worse, with no factors significant at the 95% confidence level and an R-square of 0.1007 (Significance F= 0.2523). Model performance decreased as temporal scope increased in comparison with the 2019 study, highlighting the shortcomings of simple regression in long-term valuation. To increase forecast accuracy, this study suggests applying more complex non-linear techniques, developing spatiotemporal models, and integrating external variables (such as human activity and environmental dynamics). These results highlight how crucial an adaptive valuation framework is to bolstering coral reef management and promoting evidence-based conservation policy. | ||
| Keywords | ||
| Ecosystem services; Coral reef; Economic valuation; Linear model; Non-linear model | ||
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