Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability

Establishing tributary load (i.e., the mass exported over a period of time) targets to reduce anthropogenic nutrient inputs to receiving waters — and thus eutrophication — is a common mitigation strategy in freshwater and coastal ecosystems. However, detecting and quantifying trends can be difficult...

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Autores principales:	Freya E. Rowland, Craig A. Stow, Laura T. Johnson, Robert M. Hirsch
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Long-term data Monitoring Nutrients Statistics Streams Time-series analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/a37cb19219624aeeac25db3c4486e6dd
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spelling	oai:doaj.org-article:a37cb19219624aeeac25db3c4486e6dd2021-12-01T04:49:09ZLake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability1470-160X10.1016/j.ecolind.2021.107601https://doaj.org/article/a37cb19219624aeeac25db3c4486e6dd2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002661https://doaj.org/toc/1470-160XEstablishing tributary load (i.e., the mass exported over a period of time) targets to reduce anthropogenic nutrient inputs to receiving waters — and thus eutrophication — is a common mitigation strategy in freshwater and coastal ecosystems. However, detecting and quantifying trends can be difficult because annual precipitation strongly influences tributary flow (e.g., average daily stream discharge). This may obscure trends as wet years tend to produce high tributary loads despite management activities to reduce nutrient export, and dry years typically generate low loads, even without management of nutrients. Furthermore, flow and nutrient concentrations are often correlated. Earlier efforts to reduce the effect of flow variability on tributary nutrient assessment were limited by computational and methodological constraints, until the weighted regressions on time, discharge, and season (WRTDS) method was introduced in 2010. Here we use WRTDS to assess nutrient concentration and load changes from 1982 to 2018 in three tributaries to the western basin of Lake Erie, of the Laurentian Great Lakes. Generally, trends revealed by flow-normalization do not contradict those of non-normalized metrics; however flow-normalization made the patterns more perceptible than in non-normalized metrics and reduced the influence of a particularly wet or dry period at the end of records on long-term trend analysis. We demonstrate that using WRTDS for flow-normalization removed the noise arising from annual precipitation variability and makes tributary nutrient trend evaluation more straightforward.Freya E. RowlandCraig A. StowLaura T. JohnsonRobert M. HirschElsevierarticleLong-term dataMonitoringNutrientsStatisticsStreamsTime-series analysisEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107601- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Long-term data Monitoring Nutrients Statistics Streams Time-series analysis Ecology QH540-549.5
spellingShingle	Long-term data Monitoring Nutrients Statistics Streams Time-series analysis Ecology QH540-549.5 Freya E. Rowland Craig A. Stow Laura T. Johnson Robert M. Hirsch Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
description	Establishing tributary load (i.e., the mass exported over a period of time) targets to reduce anthropogenic nutrient inputs to receiving waters — and thus eutrophication — is a common mitigation strategy in freshwater and coastal ecosystems. However, detecting and quantifying trends can be difficult because annual precipitation strongly influences tributary flow (e.g., average daily stream discharge). This may obscure trends as wet years tend to produce high tributary loads despite management activities to reduce nutrient export, and dry years typically generate low loads, even without management of nutrients. Furthermore, flow and nutrient concentrations are often correlated. Earlier efforts to reduce the effect of flow variability on tributary nutrient assessment were limited by computational and methodological constraints, until the weighted regressions on time, discharge, and season (WRTDS) method was introduced in 2010. Here we use WRTDS to assess nutrient concentration and load changes from 1982 to 2018 in three tributaries to the western basin of Lake Erie, of the Laurentian Great Lakes. Generally, trends revealed by flow-normalization do not contradict those of non-normalized metrics; however flow-normalization made the patterns more perceptible than in non-normalized metrics and reduced the influence of a particularly wet or dry period at the end of records on long-term trend analysis. We demonstrate that using WRTDS for flow-normalization removed the noise arising from annual precipitation variability and makes tributary nutrient trend evaluation more straightforward.
format	article
author	Freya E. Rowland Craig A. Stow Laura T. Johnson Robert M. Hirsch
author_facet	Freya E. Rowland Craig A. Stow Laura T. Johnson Robert M. Hirsch
author_sort	Freya E. Rowland
title	Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
title_short	Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
title_full	Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
title_fullStr	Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
title_full_unstemmed	Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability
title_sort	lake erie tributary nutrient trend evaluation: normalizing concentrations and loads to reduce flow variability
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a37cb19219624aeeac25db3c4486e6dd
work_keys_str_mv	AT freyaerowland lakeerietributarynutrienttrendevaluationnormalizingconcentrationsandloadstoreduceflowvariability AT craigastow lakeerietributarynutrienttrendevaluationnormalizingconcentrationsandloadstoreduceflowvariability AT lauratjohnson lakeerietributarynutrienttrendevaluationnormalizingconcentrationsandloadstoreduceflowvariability AT robertmhirsch lakeerietributarynutrienttrendevaluationnormalizingconcentrationsandloadstoreduceflowvariability
_version_	1718405741021233152

Lake Erie tributary nutrient trend evaluation: Normalizing concentrations and loads to reduce flow variability

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