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| DOI: | 10.2134/jeq2015.12.0624 |
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| Web URL(s): | https://dl.sciencesocieties.org/publications/jeq/articles/45/6/1856
Last checked: 02/05/2018
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https://dl.sciencesocieties.org/publications/jeq/pdfs/45/6/1856
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| Publication Type:
| Refereed |
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| Author(s): | Shoda, Megan E.;
Stone, Wesley W.;
Nowell, Lisa H. |
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| Author Affiliation: | Shoda and Stone: USGS, Indianapolis, IN; Nowell: USGS, Sacramento, CA |
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| Title: | Prediction of pesticide toxicity in Midwest streams |
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| Column Name: | Environmental models, modules, and datasets
Other records with the "Environmental models, modules, and datasets" Column
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| Source: | Journal of Environmental Quality. Vol. 45, No. 6, November/December 2016, p. 1856-1864. |
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| Publishing Information: | Madison, Wisconsin: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America |
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| # of Pages: | 9 |
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| Related Web URL: | https://dl.sciencesocieties.org/publications/jeq/abstracts/45/6/1856
Last checked: 02/05/2018
Notes: Abstract only |
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| Abstract/Contents: | "The occurrence of pesticide mixtures is common in stream waters of the United States, and the impact of multiple compounds on aquatic organisms is not well understood. Watershed Regressions for Pesticides (WARP) models were developed to predict Pesticide Toxicity Index (PTI) values in unmonitored streams in the Midwest and are referred to as WARP-PTI models. The PTI is a tool for assessing the relative toxicity of pesticide mixtures to fish, benthic invertebrates, and cladocera in stream water. One hundred stream sites in the Midwest were sampled weekly in May through August 2013, and the highest calculated PTI for each site was used as the WARP-PTI model response variable. Watershed characteristics that represent pesticide sources and transport were used as the WARP-PTI model explanatory variables. Three WARP-PTI modelsfish, benthic invertebrates, and cladocerawere developed that include watershed characteristics describing toxicity-weighted agricultural use intensity, land use, agricultural management practices, soil properties, precipitation, and hydrologic properties. The models explained between 41 and 48% of the variability in the measured PTI values. WARP-PTI model evaluation with independent data showed reasonable performance with no clear bias. The models were applied to streams in the Midwest to demonstrate extrapolation for a regional assessment to indicate vulnerable streams and to guide more intensive monitoring." |
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| Language: | English |
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| References: | 30 |
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| See Also: | See also related article "Fate and impact of pesticides", CSA News, 62(12) December 2017, p. 6-8, R=294768. R=294768 |
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| Note: | Maps
Tables
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Shoda, M. E., W. W. Stone, and L. H. Nowell. 2016. Prediction of pesticide toxicity in Midwest streams. J. Environ. Qual. 45(6):p. 1856-1864. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=294753 |
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| DOI: 10.2134/jeq2015.12.0624 |
| Web URL(s):
https://dl.sciencesocieties.org/publications/jeq/articles/45/6/1856
Last checked: 02/05/2018
Access conditions: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/jeq/pdfs/45/6/1856
Last checked: 02/05/2018
Requires: PDF Reader
Access conditions: Item is within a limited-access website
Notes: Direct Download |
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MSU catalog number: b2225072a |
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