Data quality in impact assessment follow-up: Advancing biodiversity and ecosystem-services management across mineral value chains

Growing metal demand increases pressure on biodiversity and ecosystem services while mining faces intensified scrutiny, highlighting the need for dependable monitoring data from impact assessment follow-up to guide decisions across mineral value chains.

The thesis investigates how to secure data quality in impact assessment follow-up to advance the management of biodiversity and ecosystem services. Using qualitative methods, the study draws on a literature review, field visits, document analysis, interviews, a focus group, institutional events, and a case analysis of Brazilian Amazon bauxite extraction and the aluminium supply chain, selected due to bauxite mining in forests and widespread aluminium use. The findings indicate a need for greater data integration and contextualization.