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The implications of lag times between nitrate leaching losses and riverine loads for water quality policy

Understanding the lag time between land management and impacts on riverine nitrate–nitrogen (N) loads is critical to understand when action to mitigate nitrate–N leaching losses from the soil profile may start improving water quality. These lags occur due to leaching of nitrate–N through the subsurf...

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Autores principales: McDowell, R. W., Simpson, Z. P., Ausseil, A. G., Etheridge, Z., Law, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360963/
https://www.ncbi.nlm.nih.gov/pubmed/34385500
http://dx.doi.org/10.1038/s41598-021-95302-1
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author McDowell, R. W.
Simpson, Z. P.
Ausseil, A. G.
Etheridge, Z.
Law, R.
author_facet McDowell, R. W.
Simpson, Z. P.
Ausseil, A. G.
Etheridge, Z.
Law, R.
author_sort McDowell, R. W.
collection PubMed
description Understanding the lag time between land management and impacts on riverine nitrate–nitrogen (N) loads is critical to understand when action to mitigate nitrate–N leaching losses from the soil profile may start improving water quality. These lags occur due to leaching of nitrate–N through the subsurface (soil and groundwater). Actions to mitigate nitrate–N losses have been mandated in New Zealand policy to start showing improvements in water quality within five years. We estimated annual rates of nitrate–N leaching and annual nitrate–N loads for 77 river catchments from 1990 to 2018. Lag times between these losses and riverine loads were determined for 34 catchments but could not be determined in other catchments because they exhibited little change in nitrate–N leaching losses or loads. Lag times varied from 1 to 12 years according to factors like catchment size (Strahler stream order and altitude) and slope. For eight catchments where additional isotope and modelling data were available, the mean transit time for surface water at baseflow to pass through the catchment was on average 2.1 years less than, and never greater than, the mean lag time for nitrate–N, inferring our lag time estimates were robust. The median lag time for nitrate–N across the 34 catchments was 4.5 years, meaning that nearly half of these catchments wouldn’t exhibit decreases in nitrate–N because of practice change within the five years outlined in policy.
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spelling pubmed-83609632021-08-17 The implications of lag times between nitrate leaching losses and riverine loads for water quality policy McDowell, R. W. Simpson, Z. P. Ausseil, A. G. Etheridge, Z. Law, R. Sci Rep Article Understanding the lag time between land management and impacts on riverine nitrate–nitrogen (N) loads is critical to understand when action to mitigate nitrate–N leaching losses from the soil profile may start improving water quality. These lags occur due to leaching of nitrate–N through the subsurface (soil and groundwater). Actions to mitigate nitrate–N losses have been mandated in New Zealand policy to start showing improvements in water quality within five years. We estimated annual rates of nitrate–N leaching and annual nitrate–N loads for 77 river catchments from 1990 to 2018. Lag times between these losses and riverine loads were determined for 34 catchments but could not be determined in other catchments because they exhibited little change in nitrate–N leaching losses or loads. Lag times varied from 1 to 12 years according to factors like catchment size (Strahler stream order and altitude) and slope. For eight catchments where additional isotope and modelling data were available, the mean transit time for surface water at baseflow to pass through the catchment was on average 2.1 years less than, and never greater than, the mean lag time for nitrate–N, inferring our lag time estimates were robust. The median lag time for nitrate–N across the 34 catchments was 4.5 years, meaning that nearly half of these catchments wouldn’t exhibit decreases in nitrate–N because of practice change within the five years outlined in policy. Nature Publishing Group UK 2021-08-12 /pmc/articles/PMC8360963/ /pubmed/34385500 http://dx.doi.org/10.1038/s41598-021-95302-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
McDowell, R. W.
Simpson, Z. P.
Ausseil, A. G.
Etheridge, Z.
Law, R.
The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title_full The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title_fullStr The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title_full_unstemmed The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title_short The implications of lag times between nitrate leaching losses and riverine loads for water quality policy
title_sort implications of lag times between nitrate leaching losses and riverine loads for water quality policy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360963/
https://www.ncbi.nlm.nih.gov/pubmed/34385500
http://dx.doi.org/10.1038/s41598-021-95302-1
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