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A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S.

Authors :
Ebert, Donald
Wickham, James
Neale, Anne
Mehaffey, Megan
Source :
Journal of the American Water Resources Association. Apr2021, Vol. 57 Issue 2, p315-327. 13p.
Publication Year :
2021

Abstract

Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution. These changes often increase habitat heterogeneity relative to upstream and downstream locations, which have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns upstream and downstream of confluences. We have produced a publicly available dataset of stream confluences and associated watershed attributes for the conterminous United States. The dataset includes 1,085,629 stream confluences and 383 attributes for each confluence organized into 15 dataset tables for both tributary and mainstem upstream catchments and watersheds. Themes in the dataset include hydrology (e.g., stream order), land cover, land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). Additionally, we used measures of ecological integrity to assess the condition of the stream confluences. Aside from a generally positive east‐to‐west gradient in ecological condition, we found that approximately one‐third of the confluences had markedly contrasting ecological conditions between mainstem and tributary, catchment and watershed, or both. The dataset should support many, multifaceted studies of stream confluence ecology. Research Impact Statement: Stream confluences may be biological hotspots. We present a USA stream confluence dataset to stimulate further ecological research. The dataset contains 1,085,629 confluences and 383 attributes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1093474X
Volume :
57
Issue :
2
Database :
Academic Search Index
Journal :
Journal of the American Water Resources Association
Publication Type :
Academic Journal
Accession number :
149980640
Full Text :
https://doi.org/10.1111/1752-1688.12899