Spatiotemporal Variability in Transport and Reactive Processes Across a First‐ to Fifth‐Order Fluvial Network
Spatiotemporal Variability in Transport and Reactive Processes Across a First‐ to Fifth‐Order Fluvial Network
复制标题
一阶到五阶河流网络中输运和反应过程的时空变化
DOI:
10.1029/2019wr026303
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发表时间:
2020
影响因子:
5.4
通讯作者:
Cable, Jaye E.
中科院分区:
文献类型:
--
作者:
Gootman, Kaylyn S.;González‐Pinzón, Ricardo;Knapp, Julia L. A.;Garayburu‐Caruso, Vanessa;Cable, Jaye E.
Fluvial networks integrate, transform, and transport constituents from terrestrial and aquatic ecosystems. To date, most research on water quality dynamics has focused on process understanding at individual streams, and, as a result, there is a lack of studies analyzing how physical and biogeochemical drivers scale across fluvial networks. We performed tracer tests in five stream orders of the Jemez River continuum in New Mexico, USA, to quantify reach‐scale hyporheic exchange during two different seasonal periods to address the following: How do hyporheic zone contributions to overall riverine processing change with space and time? And does the spatiotemporal variability of hyporheic exchange scale across fluvial networks? Combining conservative (i.e., bromide) and reactive (i.e., resazurin) tracer analyses with solute transport modeling, we found a dominance of reaction‐limited transport conditions and a decrease of the contributions of hyporheic processing across stream orders and flow regimes. Our field‐based findings suggest that achieving knowledge transferability of hyporheic processing within fluvial networks may be possible, especially when process variability is sampled across multiple stream orders and flow regimes. Therefore, we propose a shift in our traditional approach to investigating scaling patterns in transport processes, which currently relies on the interpretation of studies conducted in multiple sites (mainly in headwater streams) that are located in different fluvial networks, to a more cohesive, network‐centered investigation of processes using the same or readily comparable methods.
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DOI:
10.1029/2012jf002455
发表时间:
2013
期刊:
Journal of Geophysical Research: Earth Surface
影响因子:
--
作者:
S. Patil;T. Covino;A. Packman;B. McGlynn;J. Drummond;R. Payn;R. Schumer
通讯作者:
R. Schumer
影响因子:
5.4
作者:
R. González‐Pinzón;R. Haggerty
通讯作者:
R. Haggerty
DOI:
--
发表时间:
2011
期刊:
影响因子:
--
作者:
A. Argerich;R. Haggerty;E. Martí;F. Sabater;J. Zarnetske
通讯作者:
J. Zarnetske
影响因子:
6.3
作者:
C. Oldham;D. Farrow;S. Peiffer
通讯作者:
S. Peiffer
影响因子:
2.6
作者:
R. González‐Pinzón;Marc Peipoch;R. Haggerty;E. Martí;J. Fleckenstein
通讯作者:
J. Fleckenstein