Disentangling In‐Stream Nitrate Uptake Pathways Based on Two‐Station High‐Frequency Monitoring in High‐Order Streams. Zhang, X., Yang, X., Hensley, R., Lorke, A., & Rode, M. Water Resources Research, 59(3):e2022WR032329, March, 2023. ![Disentangling In‐Stream Nitrate Uptake Pathways Based on Two‐Station High‐Frequency Monitoring in High‐Order Streams [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract In‐stream nitrate (NO 3 − ) uptake in rivers involves complex autotrophic and heterotrophic pathways, which often vary spatiotemporally due to biotic and abiotic drivers. High‐frequency monitoring of NO 3 − mass balance between upstream and downstream measurement sites can quantitatively disentangle multi‐path NO 3 − uptake dynamics at the reach scale. However, this approach remains limited to a few river types and has not been fully explored for higher‐order streams with varying hydro‐morphological and biogeochemical conditions. We conducted two‐station 15‐min monitoring in five high‐order stream reaches in central Germany, calculating the NO 3 − ‐N mass balance and whole‐stream metabolism based on time series of NO 3 − ‐N and dissolved oxygen, respectively. With thorough considerations of lateral inputs, the calculated net NO 3 − ‐N uptake rates ( ) differed substantially among campaigns (ranging from −151.1 to 357.6 mg N m 2 d −1 , with cases of negative values representing net NO 3 − ‐N release), and exhibited higher during the post‐wet season than during the dry season. Subtracting autotrophic assimilation ( , stoichiometrically coupled to stream metabolism) from , represented the net balance of heterotrophic NO 3 − ‐N uptake ( \textgreater 0, the dominance of denitrification and heterotrophic assimilation) and NO 3 − ‐N release ( \textless 0, the dominance of nitrification/mineralization). This rarely reported uptake pathway contributed substantially to patterns, especially during post‐wet seasons; moreover, it appeared to exhibit various diel patterns, and for \textgreater 0, diel minima occurred during the daytime. These findings advance our understanding of complex reach‐scale N‐retention processes and can help develop future modeling concepts at the river‐network scale. , Key Points Two‐station monitoring disentangles nitrate uptake pathways and their temporal dynamics in heterogeneous high‐order streams Net nitrate uptake exhibits high variation, seasonally and across reach conditions, with cases of consistent net release Heterotrophic nitrate uptake and release were higher during post‐wet seasons and exhibited various diel patterns
@article{zhang_disentangling_2023,
title = {Disentangling {In}‐{Stream} {Nitrate} {Uptake} {Pathways} {Based} on {Two}‐{Station} {High}‐{Frequency} {Monitoring} in {High}‐{Order} {Streams}},
volume = {59},
issn = {0043-1397, 1944-7973},
url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR032329},
doi = {10.1029/2022WR032329},
abstract = {Abstract
In‐stream nitrate (NO
3
−
) uptake in rivers involves complex autotrophic and heterotrophic pathways, which often vary spatiotemporally due to biotic and abiotic drivers. High‐frequency monitoring of NO
3
−
mass balance between upstream and downstream measurement sites can quantitatively disentangle multi‐path NO
3
−
uptake dynamics at the reach scale. However, this approach remains limited to a few river types and has not been fully explored for higher‐order streams with varying hydro‐morphological and biogeochemical conditions. We conducted two‐station 15‐min monitoring in five high‐order stream reaches in central Germany, calculating the NO
3
−
‐N mass balance and whole‐stream metabolism based on time series of NO
3
−
‐N and dissolved oxygen, respectively. With thorough considerations of lateral inputs, the calculated net NO
3
−
‐N uptake rates (
) differed substantially among campaigns (ranging from −151.1 to 357.6 mg N m
2
d
−1
, with cases of negative values representing net NO
3
−
‐N release), and exhibited higher
during the post‐wet season than during the dry season. Subtracting autotrophic assimilation (
, stoichiometrically coupled to stream metabolism) from
,
represented the net balance of heterotrophic NO
3
−
‐N uptake (
{\textgreater} 0, the dominance of denitrification and heterotrophic assimilation) and NO
3
−
‐N release (
{\textless} 0, the dominance of nitrification/mineralization). This rarely reported uptake pathway contributed substantially to
patterns, especially during post‐wet seasons; moreover, it appeared to exhibit various diel patterns, and for
{\textgreater} 0, diel minima occurred during the daytime. These findings advance our understanding of complex reach‐scale N‐retention processes and can help develop future modeling concepts at the river‐network scale.
,
Key Points
Two‐station monitoring disentangles nitrate uptake pathways and their temporal dynamics in heterogeneous high‐order streams
Net nitrate uptake exhibits high variation, seasonally and across reach conditions, with cases of consistent net release
Heterotrophic nitrate uptake and release were higher during post‐wet seasons and exhibited various diel patterns},
language = {en},
number = {3},
urldate = {2024-11-15},
journal = {Water Resources Research},
author = {Zhang, Xiaolin and Yang, Xiaoqiang and Hensley, Robert and Lorke, Andreas and Rode, Michael},
month = mar,
year = {2023},
pages = {e2022WR032329},
}
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{"_id":"6oecpyyzTZWHc9gks","bibbaseid":"zhang-yang-hensley-lorke-rode-disentanglinginstreamnitrateuptakepathwaysbasedontwostationhighfrequencymonitoringinhighorderstreams-2023","author_short":["Zhang, X.","Yang, X.","Hensley, R.","Lorke, A.","Rode, M."],"bibdata":{"bibtype":"article","type":"article","title":"Disentangling In‐Stream Nitrate Uptake Pathways Based on Two‐Station High‐Frequency Monitoring in High‐Order Streams","volume":"59","issn":"0043-1397, 1944-7973","url":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR032329","doi":"10.1029/2022WR032329","abstract":"Abstract In‐stream nitrate (NO 3 − ) uptake in rivers involves complex autotrophic and heterotrophic pathways, which often vary spatiotemporally due to biotic and abiotic drivers. High‐frequency monitoring of NO 3 − mass balance between upstream and downstream measurement sites can quantitatively disentangle multi‐path NO 3 − uptake dynamics at the reach scale. However, this approach remains limited to a few river types and has not been fully explored for higher‐order streams with varying hydro‐morphological and biogeochemical conditions. We conducted two‐station 15‐min monitoring in five high‐order stream reaches in central Germany, calculating the NO 3 − ‐N mass balance and whole‐stream metabolism based on time series of NO 3 − ‐N and dissolved oxygen, respectively. With thorough considerations of lateral inputs, the calculated net NO 3 − ‐N uptake rates ( ) differed substantially among campaigns (ranging from −151.1 to 357.6 mg N m 2 d −1 , with cases of negative values representing net NO 3 − ‐N release), and exhibited higher during the post‐wet season than during the dry season. Subtracting autotrophic assimilation ( , stoichiometrically coupled to stream metabolism) from , represented the net balance of heterotrophic NO 3 − ‐N uptake ( \\textgreater 0, the dominance of denitrification and heterotrophic assimilation) and NO 3 − ‐N release ( \\textless 0, the dominance of nitrification/mineralization). This rarely reported uptake pathway contributed substantially to patterns, especially during post‐wet seasons; moreover, it appeared to exhibit various diel patterns, and for \\textgreater 0, diel minima occurred during the daytime. These findings advance our understanding of complex reach‐scale N‐retention processes and can help develop future modeling concepts at the river‐network scale. , Key Points Two‐station monitoring disentangles nitrate uptake pathways and their temporal dynamics in heterogeneous high‐order streams Net nitrate uptake exhibits high variation, seasonally and across reach conditions, with cases of consistent net release Heterotrophic nitrate uptake and release were higher during post‐wet seasons and exhibited various diel patterns","language":"en","number":"3","urldate":"2024-11-15","journal":"Water Resources Research","author":[{"propositions":[],"lastnames":["Zhang"],"firstnames":["Xiaolin"],"suffixes":[]},{"propositions":[],"lastnames":["Yang"],"firstnames":["Xiaoqiang"],"suffixes":[]},{"propositions":[],"lastnames":["Hensley"],"firstnames":["Robert"],"suffixes":[]},{"propositions":[],"lastnames":["Lorke"],"firstnames":["Andreas"],"suffixes":[]},{"propositions":[],"lastnames":["Rode"],"firstnames":["Michael"],"suffixes":[]}],"month":"March","year":"2023","pages":"e2022WR032329","bibtex":"@article{zhang_disentangling_2023,\n\ttitle = {Disentangling {In}‐{Stream} {Nitrate} {Uptake} {Pathways} {Based} on {Two}‐{Station} {High}‐{Frequency} {Monitoring} in {High}‐{Order} {Streams}},\n\tvolume = {59},\n\tissn = {0043-1397, 1944-7973},\n\turl = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR032329},\n\tdoi = {10.1029/2022WR032329},\n\tabstract = {Abstract\n \n In‐stream nitrate (NO\n 3\n −\n ) uptake in rivers involves complex autotrophic and heterotrophic pathways, which often vary spatiotemporally due to biotic and abiotic drivers. High‐frequency monitoring of NO\n 3\n −\n mass balance between upstream and downstream measurement sites can quantitatively disentangle multi‐path NO\n 3\n −\n uptake dynamics at the reach scale. However, this approach remains limited to a few river types and has not been fully explored for higher‐order streams with varying hydro‐morphological and biogeochemical conditions. We conducted two‐station 15‐min monitoring in five high‐order stream reaches in central Germany, calculating the NO\n 3\n −\n ‐N mass balance and whole‐stream metabolism based on time series of NO\n 3\n −\n ‐N and dissolved oxygen, respectively. With thorough considerations of lateral inputs, the calculated net NO\n 3\n −\n ‐N uptake rates (\n \n ) differed substantially among campaigns (ranging from −151.1 to 357.6 mg N m\n 2\n d\n −1\n , with cases of negative values representing net NO\n 3\n −\n ‐N release), and exhibited higher\n \n during the post‐wet season than during the dry season. Subtracting autotrophic assimilation (\n \n , stoichiometrically coupled to stream metabolism) from\n \n ,\n \n represented the net balance of heterotrophic NO\n 3\n −\n ‐N uptake (\n \n {\\textgreater} 0, the dominance of denitrification and heterotrophic assimilation) and NO\n 3\n −\n ‐N release (\n \n {\\textless} 0, the dominance of nitrification/mineralization). This rarely reported uptake pathway contributed substantially to\n \n patterns, especially during post‐wet seasons; moreover, it appeared to exhibit various diel patterns, and for\n \n {\\textgreater} 0, diel minima occurred during the daytime. These findings advance our understanding of complex reach‐scale N‐retention processes and can help develop future modeling concepts at the river‐network scale.\n \n , \n Key Points\n \n \n \n Two‐station monitoring disentangles nitrate uptake pathways and their temporal dynamics in heterogeneous high‐order streams\n \n \n Net nitrate uptake exhibits high variation, seasonally and across reach conditions, with cases of consistent net release\n \n \n Heterotrophic nitrate uptake and release were higher during post‐wet seasons and exhibited various diel patterns},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2024-11-15},\n\tjournal = {Water Resources Research},\n\tauthor = {Zhang, Xiaolin and Yang, Xiaoqiang and Hensley, Robert and Lorke, Andreas and Rode, Michael},\n\tmonth = mar,\n\tyear = {2023},\n\tpages = {e2022WR032329},\n}\n\n\n\n\n\n\n\n","author_short":["Zhang, X.","Yang, X.","Hensley, R.","Lorke, A.","Rode, M."],"key":"zhang_disentangling_2023","id":"zhang_disentangling_2023","bibbaseid":"zhang-yang-hensley-lorke-rode-disentanglinginstreamnitrateuptakepathwaysbasedontwostationhighfrequencymonitoringinhighorderstreams-2023","role":"author","urls":{"Paper":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022WR032329"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/tereno","dataSources":["cq3J5xX6zmBvc2TQC"],"keywords":[],"search_terms":["disentangling","stream","nitrate","uptake","pathways","based","two","station","high","frequency","monitoring","high","order","streams","zhang","yang","hensley","lorke","rode"],"title":"Disentangling In‐Stream Nitrate Uptake Pathways Based on Two‐Station High‐Frequency Monitoring in High‐Order Streams","year":2023}