ID: 1599
Presenting Author: Ulises Pablo Daniel Gonzalez
Session: 653 - Biodiversity Impact Assessment: Information Disclosure, Risk Identification, and Legal Regulation
Status: pending
Integrates water quality, limnology, and trophic data to model carbonate dynamics and define biodiversity thresholds for predictive, governance-oriented mining BIA
In high-altitude mining regions, environmental monitoring of water quality is often limited to regulatory compliance, missing its potential to inform biodiversity risk and ecosystem management.
This study presents a modeling framework that integrates physicochemical monitoring data with limnological and trophic information to define resilience thresholds for biodiversity in aquatic systems.
Focusing on carbonate system dynamics (CO₂–H₂O–HCO₃⁻–CO₃²⁻), the research demonstrates how pH-driven changes in carbonate speciation control nutrient availability,
metal solubility, and primary productivity, key processes underlying ecosystem stability.
By coupling multi-seasonal monitoring datasets with carbonate equilibrium modeling, the framework identifies functional thresholds that can serve as early-warning indicators under mining-induced stress.
Translating these hydrochemical–biological linkages into decision-support metrics allows Biodiversity Impact Assessments (BIA) to evolve from descriptive reporting to predictive, threshold-oriented governance.
Integrating such quantitative relationships into environmental law reinforces transparency, adaptive management, and long-term protection of biodiversity and ecosystem services in the mining sector
Ulises Pablo Daniel Gonzalez
Environmental Engineer.
M.Sc Environmental Sciences (thesis)
Principal Technical Consultant, ERM Group