Abstract
Increased water temperatures under climate change will probably cause decreases in dissolved oxygen and an associated increase in the number of days with hypoxia. This could have major consequences for freshwater ecosystems, but the extent of this threat remains unclear. Here we analyse trends in dissolved oxygen concentrations and days with stress and hypoxia in rivers worldwide between the periods 1980–2019 and 2020–2100 under global change. To achieve this, we train a hybrid process-based and machine learning model on approximately 2.6 million observations of dissolved oxygen, and we apply this model under both past and future conditions globally. The model projects significant decreasing trends in dissolved oxygen in most of the world’s rivers, resulting in on average 8.8 ± 2.3 more hypoxia days per decade globally between the years 2020 and 2100, and indicating a potentially major threat to freshwater ecosystems worldwide.
| Original language | English |
|---|---|
| Pages (from-to) | 1348-1354 |
| Number of pages | 7 |
| Journal | Nature Climate Change |
| Volume | 15 |
| Issue number | 12 |
| Early online date | 11 Nov 2025 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive licence to Springer Nature Limited 2025.
Funding
We thank J. Wang (Utrecht University) for their inputs related to biogeochemistry. We would like to thank A. Schipper (Radboud University and PBL Netherlands Environmental Assessment Agency) for providing valuable feedback on this study. The calculations of the study were computed on the Dutch national supercomputer Snellius with the support of SURFsara. D.J.G. and M.T.H.v.V. were financially supported by the Netherlands Scientific Organisation VIDI grant no. VI.Vidi.193.019. In addition, M.T.H.v.V. acknowledges funding from the European Research Council B-WEX grant no. 101039426.
| Funders | Funder number |
|---|---|
| Planbureau voor de Leefomgeving | |
| Radboud Universiteit | |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
| European Research Council | 101039426 |