ECOSYSTEM RISK INTELLIGENCE (ERI): A Predictive Intelligence Framework for Ecosystem Risk Quantification and Natural Capital Restoration Prioritization
Year: 2026
Type: article
Abstract: The acceleration of environmental degradation processes highlights the need for tools capable of transforming large volumes of ecological observations into actionable information for decision-making. Ecosystem Risk Intelligence (ERI) is a quantitative ecosystem intelligence framework designed to integrate observational data from satellites, climate systems, biodiversity records, and soil datasets. Its objective is to anticipate degradation trajectories, estimate the associated economic exposure of environmental decline, and prioritize restoration strategies. The system combines multi-source observation, ecological inference, and probabilistic modeling to generate synthetic indicators of risk, stability, and territorial resilience. Unlike traditional approaches focused solely on environmental monitoring, ERI introduces an explicit decision-support layer oriented toward natural capital recovery.
Author: Larrea, Javier
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: green
OpenAlex ID: W7162853542
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