Global land cover maps do not reveal mining pressures to biodiversity

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/110345 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/110345 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/110345 archive 353 disk0/00/02/07/33 2025-07-03 12:33:08 2025-07-03 12:33:08 2025-07-03 12:33:08 article show Sonter L.J. Nursamsi I. Bennun L. Graham J. Maus V. 8780 0000-0002-7385-4723 Rainey H. Starkey M. Turner J.A. Watson J.E.M. Prescott G.W. Global land cover maps do not reveal mining pressures to biodiversity pub ASA NODES Global land cover maps are key inputs into the biodiversity metrics used by the private sector to align their performance with conservation goals and targets. These maps utilize classification systems depicting combinations of ‘natural’ (vegetation, water bodies) and ‘anthropogenic’ (agriculture and built-up land) cover types, but often miss intensive pressures on biodiversity, such as mining. Here, we reveal that more than half (56–77%) the global land area disturbed by mining is classified by land cover maps as ‘natural’, suggesting metrics based on these maps likely overestimate the current state of biodiversity and underestimate opportunities to improve it. The proportion of mining land classified as natural varies by continent (e.g. 46% in Europe; 69% in Australia), further biasing initial screening efforts to identify where to mitigate negative impacts of mining. Improving the spatial and temporal resolution of land cover maps and better integrating cumulative impact mapping into biodiversity metrics, rather than relying on land cover maps which are not designed to capture land use pressures, is necessary. Current biodiversity metrics that utilise global land cover maps must be supplemented and validated with local data on ecosystem extent and condition, as well as species abundance and extinction risk, through targeted field studies, particularly in regions with large mining sectors and significant biodiversity value. 2025-07-01 published NPG doi:10.1038/s41598-025-01959-3 3138 public Scientific Reports 15 1 e22421 TRUE 2045-2322 info:eu-repo/semantics/article