ECOSYSTEM RISK INTELLIGENCE (ERI): A Predictive Intelligence Framework for Ecosystem Risk Quantification and Natural Capital Restoration Prioritization

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20466402
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ECOSYSTEM RISK INTELLIGENCE (ERI): A Predictive Intelligence Framework for Ecosystem Risk Quantification and Natural Capital Restoration Prioritization

Javier Larrea
Zenodo (CERN European Organization for Nuclear Research)
Ecosystem dynamics and resilience
article

ECOSYSTEM RISK INTELLIGENCE (ERI): A Predictive Intelligence Framework for Ecosystem Risk Quantification and Natural Capital Restoration Prioritization

Javier Larrea
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 6%
Ecosystem dynamics and resilience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.