Modeling phosphorus reduction strategies from the international St. Clair-Detroit River system watershed

Awoke Dagnew, Donald Scavia, Yu Chen Wang, Rebecca Muenich, Margaret Kalcic

Research output: Contribution to journalArticle

Abstract

Nutrient loading from nonpoint sources has degraded water quality in large water bodies globally. The water quality of Lake Erie, the most productive of the Laurentian Great Lakes bordering the United States and Canada, is influenced by phosphorus loads from the Detroit River that drains an almost 19,000 km 2 international watershed. We used the Soil and Water Assessment Tool (SWAT)to evaluate a range of management practices to potentially reduce total phosphorus (TP)and dissolved reactive phosphorus (DRP)loads. Scenarios included both single practices and bundles of multiple practices. Single practice scenarios included fertilizer rate reduction (Rate)and sub-surface placement (PL), filter strips (FL), grassed waterways, cover crops (CC), wetlands (WT), controlled drainage, and changes in tillage practices. Bundle scenarios included combinations of Rate, PL, FL, CC, and WT with three adoption strategies: application on all applicable areas, on 55% of randomly selected applicable areas, and on 55% of high phosphorus yielding applicable areas. Results showed that among the single practice scenarios, FL, WT, PL, CC, and Rate performed well in reducing both TP and DRP loss from agricultural dominated sub-watersheds. Over all, the CC, FL, WT bundle performed best, followed by the CC, PL, WT bundle, reducing the load up to 80% and 70%, respectively, with 100% implementation. However, targeting high phosphorus yielding areas performed nearly as well as 100% implementation. Results from this work suggest that there are potential pathways for phosphorus load reduction, but extensive implementation of multiple practices is required.

Original languageEnglish (US)
JournalJournal of Great Lakes Research
DOIs
StatePublished - Jan 1 2019

Fingerprint

river system
watershed
cover crop
phosphorus
filter strips
cover crops
rivers
wetlands
wetland
modeling
filter
water quality
vegetated waterways
Soil and Water Assessment Tool model
Lake Erie
range management
lake
fertilizer rates
Great Lakes
pollution load

Keywords

  • Agricultural management practices
  • Phosphorus load
  • Scenario analysis
  • SWAT
  • Watershed modeling

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology

Cite this

Modeling phosphorus reduction strategies from the international St. Clair-Detroit River system watershed. / Dagnew, Awoke; Scavia, Donald; Wang, Yu Chen; Muenich, Rebecca; Kalcic, Margaret.

In: Journal of Great Lakes Research, 01.01.2019.

Research output: Contribution to journalArticle

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abstract = "Nutrient loading from nonpoint sources has degraded water quality in large water bodies globally. The water quality of Lake Erie, the most productive of the Laurentian Great Lakes bordering the United States and Canada, is influenced by phosphorus loads from the Detroit River that drains an almost 19,000 km 2 international watershed. We used the Soil and Water Assessment Tool (SWAT)to evaluate a range of management practices to potentially reduce total phosphorus (TP)and dissolved reactive phosphorus (DRP)loads. Scenarios included both single practices and bundles of multiple practices. Single practice scenarios included fertilizer rate reduction (Rate)and sub-surface placement (PL), filter strips (FL), grassed waterways, cover crops (CC), wetlands (WT), controlled drainage, and changes in tillage practices. Bundle scenarios included combinations of Rate, PL, FL, CC, and WT with three adoption strategies: application on all applicable areas, on 55{\%} of randomly selected applicable areas, and on 55{\%} of high phosphorus yielding applicable areas. Results showed that among the single practice scenarios, FL, WT, PL, CC, and Rate performed well in reducing both TP and DRP loss from agricultural dominated sub-watersheds. Over all, the CC, FL, WT bundle performed best, followed by the CC, PL, WT bundle, reducing the load up to 80{\%} and 70{\%}, respectively, with 100{\%} implementation. However, targeting high phosphorus yielding areas performed nearly as well as 100{\%} implementation. Results from this work suggest that there are potential pathways for phosphorus load reduction, but extensive implementation of multiple practices is required.",
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