Extent, patterns, and drivers of hypoxia in the world's streams and rivers
Hypoxia in coastal waters and lakes is widely recognized as a detrimental environmental issue, yet we lack a comparable understanding of hypoxia in rivers. We investigated controls on hypoxia using 118 million paired observations of dissolved oxygen (DO) concentration and water temperature in over 125,000 locations in rivers from 93 countries. We found hypoxia (DO < 2 mg L−1) in 12.6% of all river sites across 53 countries, but no consistent trend in prevalence since 1950. High-frequency data reveal a 3-h median duration of hypoxic events which are most likely to initiate at night. River attributes were better predictors of riverine hypoxia occurrence than watershed land cover, topography, and climate characteristics. Hypoxia was more likely to occur in warmer, smaller, and lower-gradient rivers, particularly those draining urban or wetland land cover. Our findings suggest that riverine hypoxia and the resulting impacts on ecosystems may be more pervasive than previously assumed.
Citation Information
Publication Year | 2023 |
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Title | Extent, patterns, and drivers of hypoxia in the world's streams and rivers |
DOI | 10.1002/lol2.10297 |
Authors | Joanna R Blaszczak, Lauren E Koenig, Francine H. Mejia, Alice M. Carter, Lluis Gómez-Gener, Christoper L Dutton, Nancy B. Grimm, Judson Harvey, Ashley M. Helton, Matthew J. Cohen |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Limnology and Oceanography - Letters |
Index ID | 70238795 |
Record Source | USGS Publications Warehouse |
USGS Organization | Forest and Rangeland Ecosys Science Center; WMA - Earth System Processes Division |
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Distribution, frequency, and global extent of hypoxia in rivers
To assess the distribution, frequency, and global extent of riverine hypoxia, we compiled 118 million paired dissolved oxygen (DO) and water temperature measurements from 125,158 unique locations in rivers in 93 countries and territories across the globe. The dataset also includes site characteristics derived from StreamCat, the National Hydrography and HydroAtlas datasets and proximal land cover - Connect
Lauren Koenig
Data Scientist (Biologist)EmailFrancine H Mejia
Research EcologistEmailPhone