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Similarity of stream width distributions across headwater systems.
Allen, George H; Pavelsky, Tamlin M; Barefoot, Eric A; Lamb, Michael P; Butman, David; Tashie, Arik; Gleason, Colin J.
Afiliação
  • Allen GH; Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA. georgehenryallen@gmail.com.
  • Pavelsky TM; Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA.
  • Barefoot EA; Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA.
  • Lamb MP; Department of Earth Science, Rice University, Houston, 77005, TX, USA.
  • Butman D; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, 91125, CA, USA.
  • Tashie A; School of Environmental & Forest Sciences and the Department of Civil & Environmental Engineering, University of Washington, Seattle, 98195, WA, USA.
  • Gleason CJ; Department of Geological Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA.
Nat Commun ; 9(1): 610, 2018 02 09.
Article em En | MEDLINE | ID: mdl-29426914
ABSTRACT
The morphology and abundance of streams control the rates of hydraulic and biogeochemical exchange between streams, groundwater, and the atmosphere. In large river systems, the relationship between river width and abundance is fractal, such that narrow rivers are proportionally more common than wider rivers. However, in headwater systems, where many biogeochemical reactions are most rapid, the relationship between stream width and abundance is unknown. To constrain this uncertainty, we surveyed stream hydromorphology (wetted width and length) in several headwater stream networks across North America and New Zealand. Here, we find a strikingly consistent lognormal statistical distribution of stream width, including a characteristic most abundant stream width of 32 ± 7 cm independent of discharge or physiographic conditions. We propose a hydromorphic model that can be used to more accurately estimate the hydromorphology of streams, with significant impact on the understanding of the hydraulic, ecological, and biogeochemical functions of stream networks.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article