UC-Davis Team Reviews Mitigation Efficacies of Vegetated Buffers

Environmental regulators and scientists are making concerted efforts to reduce agricultural nonpoint source pollution using best management practices, but the lack of quantification on their mitigation efficacies limits their implementation in agricultural fields.

Scientists at the University of California, Davis, reviewed more than 300 papers, analyzed the data from these studies, and developed statistical models describing the mitigation efficacies of vegetated buffers. Specifically, they established the relationships between buffer pollutant removal efficacy and buffer width, buffer slope, soil, and vegetation types. Results from the study were published in the January-February 2010 issue of Journal of Environmental Quality, a peer-reviewed journal of the American Society of Agronomy. Part of the results will be presented in San Francisco, Calif., at the American Chemical Society 239th National Meeting in March 2010.

Data gathered for the extensive literature review were compiled into a digital database. Theoretical models for removal efficacy were derived and tested against data from the surveyed literature using statistical analyses methods.

The relationship between buffer width and pollutant removal was successfully captured by a model, and buffer slope was shown to be linearly associated with sediment removal efficacy for slopes less than or equal to 10 percent or negatively for slopes greater than 10 percent. The effects of vegetation were demonstrated by the results that buffers with trees have higher nitrogen and phosphorus removal efficacy than buffers with grasses or mixtures of grasses and trees. However, soil drainage type did not show a significant effect on pollutant removal. Based on the scientists’ analysis, a 30-m buffer under favorable slope conditions (about 10 percent) removes more than 85 percent of all the studied pollutants.

The study reveals the quantitative relationships between mitigation efficacies of vegetated buffers and their width, vegetation type, and slope. The results from this review and data analysis were confirmed by a group of researchers from the U.S. Department of Agriculture in Oklahoma and University of Kenya in Naribo through field experiments.

As Minghua Zhang, one of the authors of the study, noted, “This information could serve as baseline data for setting guidelines for buffer implementation and installation. In addition, estimated parameters could facilitate further investigations on buffer efficacy beyond field scale. The results of this study will assist in future modeling efforts to study the mitigation efficacy of vegetated buffers for reducing pollutants in agricultural runoff at watershed scale.”

The full article is available at no charge for 30 days following the date of this summary. You can read an abstract of the article at the publication's Web site.

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