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Decision-Grade Risk and Cost Mapping for Illegal Gold Mining at Crucitas, Costa Rica: Prioritisation, Phased Remediation Portfolios, and Uncertainty-Aware Policy Ranking

Submitted:

09 February 2026

Posted:

11 February 2026

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Abstract
Artisanal and illegal gold extraction in ecologically sensitive tropical landscapes can generate persistent environmental damage and public fiscal liabilities that accumulate even under formal mining prohibitions. Here we develop a decision-grade pipeline that converts observable environmental signals into (i) spatial prioritisation surfaces, (ii) phase-timed remediation portfolios, and (iii) present-value (PV) comparisons of legislative policy pathways under uncertainty, demonstrated for the Crucitas mining landscape (Cutris, northern Costa Rica). Five linked models are implemented. Remote-sensing change proxies are derived using consistent baseline (January 2019–December 2020) and recent (February 2024–January 2025) windows; multi-criteria indices then produce a 0–100 grid-cell prioritisation surface integrating land, water, and hydrologic dimensions. This prioritisation output is translated into a phased remediation portfolio across 1,324 costed grid cells, yielding a gross liability of US$548.0 million (10-year PV; 5% discount rate). PSA-related credits total US$167.3 million PV; enforcing a cell-level non-negativity floor yields a baseline net PV of US$408.0 million (simple gross-minus-credits would be US$380.8 million). Deterministic policy overlays produce policy-adjusted net PV of US$336.1 million under Exp. 24.717 (Δ = −US$71.9 million vs baseline; modeled royalty PV = US$93.8 million), US$418.6 million under Exp. 24.675 (Δ = +US$10.6 million), and US$421.7 million under Law No. 8904 (Δ = +US$13.7 million). Monte Carlo propagation yields a right-tailed baseline distribution (P10–P90 = US$385.4–519.1 million; P50 = US$450.1 million), with exceedance probabilities P(>US$400 million) = 0.8357 and P(>US$500 million) = 0.1786. Policy-adjusted uncertainty bounds indicate substantially reduced exceedance risk under Exp. 24.717 (P(>US$400 million) = 0.3833; P(>US$500 million) = 0.0179) and increased exceedance risk under non-mining pathways. Collectively, the results enable PV-consistent, uncertainty-aware ranking of contested pathways, with outcomes conditional on enforceable offsets, credible enforcement effectiveness, and residual-risk provisioning. The framework is transferable to other contested mining landscapes where phased interventions and policy alternatives require fiscally comparable evaluation.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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