Sonter, L.J., Nursamsi, I., Bennun, L., Graham, J., Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723, Rainey, H., Starkey, M., Turner, J.A., Watson, J.E.M., & Prescott, G.W.
(2025).
Global land cover maps do not reveal mining pressures to biodiversity.
Scientific Reports 15 (1) e22421. 10.1038/s41598-025-01959-3.
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Abstract
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.
Item Type: | Article |
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Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) |
Depositing User: | Luke Kirwan |
Date Deposited: | 03 Jul 2025 12:33 |
Last Modified: | 03 Jul 2025 12:33 |
URI: | https://pure.iiasa.ac.at/20733 |
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