Cargando…

Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides

Various indicators of pesticide environmental risk have been proposed, and one of the most widely known and used is the environmental impact quotient (EIQ). The EIQ has been criticized by others in the past, but it continues to be used regularly in the weed science literature. The EIQ is typically c...

Descripción completa

Detalles Bibliográficos
Autores principales: Kniss, Andrew R., Coburn, Carl W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487257/
https://www.ncbi.nlm.nih.gov/pubmed/26121252
http://dx.doi.org/10.1371/journal.pone.0131200
_version_ 1782378973333815296
author Kniss, Andrew R.
Coburn, Carl W.
author_facet Kniss, Andrew R.
Coburn, Carl W.
author_sort Kniss, Andrew R.
collection PubMed
description Various indicators of pesticide environmental risk have been proposed, and one of the most widely known and used is the environmental impact quotient (EIQ). The EIQ has been criticized by others in the past, but it continues to be used regularly in the weed science literature. The EIQ is typically considered an improvement over simply comparing the amount of herbicides applied by weight. Herbicides are treated differently compared to other pesticide groups when calculating the EIQ, and therefore, it is important to understand how different risk factors affect the EIQ for herbicides. The purpose of this work was to evaluate the suitability of the EIQ as an environmental indicator for herbicides. Simulation analysis was conducted to quantify relative sensitivity of the EIQ to changes in risk factors, and actual herbicide EIQ values were used to quantify the impact of herbicide application rate on the EIQ Field Use Rating. Herbicide use rate was highly correlated with the EIQ Field Use Rating (Spearman’s rho >0.96, P-value <0.001) for two herbicide datasets. Two important risk factors for herbicides, leaching and surface runoff potential, are included in the EIQ calculation but explain less than 1% of total variation in the EIQ. Plant surface half-life was the risk factor with the greatest relative influence on herbicide EIQ, explaining 26 to 28% of the total variation in EIQ for actual and simulated EIQ values, respectively. For herbicides, the plant surface half-life risk factor is assigned values without any supporting quantitative data, and can result in EIQ estimates that are contrary to quantitative risk estimates for some herbicides. In its current form, the EIQ is a poor measure of herbicide environmental impact.
format Online
Article
Text
id pubmed-4487257
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-44872572015-07-02 Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides Kniss, Andrew R. Coburn, Carl W. PLoS One Research Article Various indicators of pesticide environmental risk have been proposed, and one of the most widely known and used is the environmental impact quotient (EIQ). The EIQ has been criticized by others in the past, but it continues to be used regularly in the weed science literature. The EIQ is typically considered an improvement over simply comparing the amount of herbicides applied by weight. Herbicides are treated differently compared to other pesticide groups when calculating the EIQ, and therefore, it is important to understand how different risk factors affect the EIQ for herbicides. The purpose of this work was to evaluate the suitability of the EIQ as an environmental indicator for herbicides. Simulation analysis was conducted to quantify relative sensitivity of the EIQ to changes in risk factors, and actual herbicide EIQ values were used to quantify the impact of herbicide application rate on the EIQ Field Use Rating. Herbicide use rate was highly correlated with the EIQ Field Use Rating (Spearman’s rho >0.96, P-value <0.001) for two herbicide datasets. Two important risk factors for herbicides, leaching and surface runoff potential, are included in the EIQ calculation but explain less than 1% of total variation in the EIQ. Plant surface half-life was the risk factor with the greatest relative influence on herbicide EIQ, explaining 26 to 28% of the total variation in EIQ for actual and simulated EIQ values, respectively. For herbicides, the plant surface half-life risk factor is assigned values without any supporting quantitative data, and can result in EIQ estimates that are contrary to quantitative risk estimates for some herbicides. In its current form, the EIQ is a poor measure of herbicide environmental impact. Public Library of Science 2015-06-29 /pmc/articles/PMC4487257/ /pubmed/26121252 http://dx.doi.org/10.1371/journal.pone.0131200 Text en © 2015 Kniss, Coburn http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kniss, Andrew R.
Coburn, Carl W.
Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title_full Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title_fullStr Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title_full_unstemmed Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title_short Quantitative Evaluation of the Environmental Impact Quotient (EIQ) for Comparing Herbicides
title_sort quantitative evaluation of the environmental impact quotient (eiq) for comparing herbicides
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487257/
https://www.ncbi.nlm.nih.gov/pubmed/26121252
http://dx.doi.org/10.1371/journal.pone.0131200
work_keys_str_mv AT knissandrewr quantitativeevaluationoftheenvironmentalimpactquotienteiqforcomparingherbicides
AT coburncarlw quantitativeevaluationoftheenvironmentalimpactquotienteiqforcomparingherbicides