Skip to main content
U.S. flag

An official website of the United States government

Identifying headwater streams across the conterminous United States

January 13, 2026

Headwater streams play critical roles in hydrologic and biogeochemical processes and functions, yet their spatial distribution and land cover context remain poorly understood at continental scales, and no dedicated geospatial dataset exists. Building from a high-resolution conterminous United States (CONUS) hydrography network dataset, we quantified the spatial extent, density, and upstream catchment characteristics of headwater stream segments across the CONUS. We identified approximately 8.4 million kilometers of headwater streams, finding that 77% of the total stream network consists of headwaters, nearly double the total length represented in prior estimates. Stream density varied fivefold across regions, from  5 km·km−2 in humid, forested areas. Over 73% of the CONUS landmass drains from headwater streams. The majority of headwater stream length occurred in forested and cultivated catchments across the CONUS, while substantial regional differences were evident for headwater stream distribution in other land cover classes (for example, wetlands, urban areas, shrublands, and herbaceous-dominated catchments). The dedicated and novel geospatial dataset, HELiOS (HEadwater streams and Low-Order Systems) is introduced for management and research use. The HELiOS dataset provides the first continental-scale, high-resolution characterization of headwater streams, offering new insights and opportunities for hydrologic modeling, ecological assessments, and environmental policy.

Publication Year 2026
Title Identifying headwater streams across the conterminous United States
DOI 10.1007/s10021-025-01041-z
Authors Charles R. Lane, Ellen D’Amico, Jay R. Christensen, Heather E. Golden, Frederick Y. Cheng, John C. Hammond, Admin Husic, Kristin L. Jaeger, C. Nathan Jones, Christa A. Kelleher, Li Li, D. Tyler Mahoney, Hilary K. McMillan, Adam N. Price, Roy Sando, Catalina Segura, Erin C. Seybold, Adam S. Ward, Margaret Zimmer
Publication Type Article
Publication Subtype Journal Article
Series Title Ecosystems
Index ID 70273496
Record Source USGS Publications Warehouse
USGS Organization Maryland-Delaware-District of Columbia Water Science Center
Was this page helpful?