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A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S.
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 so...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128689/ https://www.ncbi.nlm.nih.gov/pubmed/34017164 http://dx.doi.org/10.1111/1752-1688.12899 |
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author | Ebert, Donald Wickham, James Neale, Anne Mehaffey, Megan |
author_facet | Ebert, Donald Wickham, James Neale, Anne Mehaffey, Megan |
author_sort | Ebert, Donald |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8128689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81286892021-07-02 A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. Ebert, Donald Wickham, James Neale, Anne Mehaffey, Megan J Am Water Resour Assoc Additional Technical Papers 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. John Wiley and Sons Inc. 2020-12-28 2021-04 /pmc/articles/PMC8128689/ /pubmed/34017164 http://dx.doi.org/10.1111/1752-1688.12899 Text en Published 2020. This article is a U.S. Government work and is in the public domain in the USA. Journal of the American Water Resources Association published by Wiley Periodicals LLC on behalf of American Water Resources Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Additional Technical Papers Ebert, Donald Wickham, James Neale, Anne Mehaffey, Megan A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title | A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title_full | A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title_fullStr | A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title_full_unstemmed | A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title_short | A Landscape Assessment and Associated Dataset of Stream Confluences for the Conterminous U.S. |
title_sort | landscape assessment and associated dataset of stream confluences for the conterminous u.s. |
topic | Additional Technical Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128689/ https://www.ncbi.nlm.nih.gov/pubmed/34017164 http://dx.doi.org/10.1111/1752-1688.12899 |
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