2009
DOI: 10.1007/s10533-008-9274-8
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes

Abstract: The importance of lotic systems as sinks for nitrogen inputs is well recognized. A fraction of nitrogen in streamflow is removed to the atmosphere via denitrification with the remainder exported in streamflow as nitrogen loads. At the watershed scale, there is a keen interest in understanding the factors that control the fate of nitrogen throughout the stream channel network, with particular attention to the processes that deliver large nitrogen loads to sensitive coastal ecosystems. We use a dynamic stream tr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

11
220
0
1

Year Published

2010
2010
2016
2016

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 219 publications
(234 citation statements)
references
References 35 publications
(125 reference statements)
11
220
0
1
Order By: Relevance
“…- (Alexander et al 2009). N 2 concentrations were slightly under-saturated at times during the study period.…”
Section: Discussionmentioning
confidence: 99%
“…- (Alexander et al 2009). N 2 concentrations were slightly under-saturated at times during the study period.…”
Section: Discussionmentioning
confidence: 99%
“…Streams and rivers are the principal flowpaths linking terrestrial N sources to these downstream locations, and river networks exhibit a substantial capacity to attenuate N fluxes (Galloway et al 2003;Seitzinger et al 2006;Mullholland et al 2008). Despite the need to understand whole-network removal, most inferences about the timing and magnitude of removal come from models (Alexander et al 2000;Seitzinger et al 2002), many of which estimate large-river contributions to network removal by extrapolating observations from small streams, and thus potentially oversimplifying the effects of removal variability as a function of discharge (Hall et al 2013) and channel morphology (Helton et al 2011). While small headwater streams have empirically been identified as ''hot spots'' (Alexander et al 2000;Peterson et al 2001;Bernot and Dodds 2005), other models suggest that higher order reaches can also substantially influence river network removal (Seitzinger et al 2002;Wollheim et al 2006;Mulholland et al 2008).…”
mentioning
confidence: 99%
“…Modeling studies suggest N removal varies spatially within river networks (Alexander et al 2009), and varies temporally with climate (Donner et al 2004;Botter et al 2010) and discharge (Doyle 2005;Wollheim et al 2008;Basu et al 2011). This variability has been directly observed (Hall, Baker et al 2009;Pellerin et al 2012); however, further measurements to validate model predictions at reach-to-network spatial scales and diel-to-event-to-seasonal and even interannual temporal scales are needed.…”
mentioning
confidence: 99%
“…This excess N contributes to eutrophication and impairment of inland and coastal surface waters (Rabalais 2002). Aquatic ecosystems along the flow path from terrestrial to marine environments, such as streams, lakes, rivers, and reservoirs, can have a large influence on N transport to coastal zones (Seitzinger et al 2006;Alexander et al 2009;Harrison et al 2009). As water makes its way from landscapes into stream and river networks, often it passes through relatively lentic water bodies ranging from headwater wetlands to small impounded areas (e.g., beaver dams, mill ponds) to larger lakes and reservoirs.…”
mentioning
confidence: 99%