scholarly journals Supplemental data for "Effectiveness of Conservation Crop Rotation on Water Pollutant Reduction from Agricultural Areas"

2021 ◽  
Author(s):  
Lydia Koropeckyj-Cox ◽  
Reid Christianson ◽  
Yongping Yuan

This file contains the appendix and supplemental material, including data, used in the journal article.

2021 ◽  
Author(s):  
Lydia Koropeckyj-Cox ◽  
Reid Christianson ◽  
Yongping Yuan

This file contains the appendix and supplemental material, including data, used in the journal article.


2021 ◽  
Author(s):  
Reid Christianson ◽  
Jordan Fox ◽  
Neely Law ◽  
Carol Wong

<p>The Supplemental Material provides additional information that may not have explicitly been referenced in the associated article. These additional data add substance to the discussion and are intended to add transparency. The dataset is in spreadsheet form and includes U.S.-specific studies reporting total nitrogen, nitrate, total phosphorus, phosphate, and sediment or erosion concentrations or losses from control and cover crop field plot studies. Where pertinent data were not reported in tabular format, DataThief software was used. Some aggregation was done on these data to appropriately bin them into grass, legume, brassica, and mixed categories, based on the type of cover crop evaluated. Further loss reduction calculations were done based on reported concentrations or losses from the literature reviewed in a site-year approach, where possible. Because of this, the resulting percent loss reductions reported here may be slightly different from those reported in the original source.</p> <p><br></p><p>Further, each study was aggregated to a study component average (e.g., legume treatment, which may have included more than one type of legume) in an attempt to represent the study findings while reducing the variability associated with the site-year approach. These data were used to develop a series of correlations to evaluate trends associated with cover crop use in the U.S. to support Conservation Practice Standard 340. Data not reported by a given study were left blank, and calculations based on missing data were represented with #N/A.</p>


2021 ◽  
Author(s):  
Reid Christianson ◽  
Jordan Fox ◽  
Neely Law ◽  
Carol Wong

<p>The Supplemental Material provides additional information that may not have explicitly been referenced in the associated article. These additional data add substance to the discussion and are intended to add transparency. The dataset is in spreadsheet form and includes U.S.-specific studies reporting total nitrogen, nitrate, total phosphorus, phosphate, and sediment or erosion concentrations or losses from control and cover crop field plot studies. Where pertinent data were not reported in tabular format, DataThief software was used. Some aggregation was done on these data to appropriately bin them into grass, legume, brassica, and mixed categories, based on the type of cover crop evaluated. Further loss reduction calculations were done based on reported concentrations or losses from the literature reviewed in a site-year approach, where possible. Because of this, the resulting percent loss reductions reported here may be slightly different from those reported in the original source.</p> <p><br></p><p>Further, each study was aggregated to a study component average (e.g., legume treatment, which may have included more than one type of legume) in an attempt to represent the study findings while reducing the variability associated with the site-year approach. These data were used to develop a series of correlations to evaluate trends associated with cover crop use in the U.S. to support Conservation Practice Standard 340. Data not reported by a given study were left blank, and calculations based on missing data were represented with #N/A.</p>


2015 ◽  
Vol 737 ◽  
pp. 945-949
Author(s):  
Xu Li ◽  
Jing Hua Sha ◽  
Jing Jing Yan ◽  
Guo Feng Zhang

A dynamic comprehensive simulation model is constructed to evaluate the economic and environmental impact of reclaimed water utilization. One objective function and three sub-model is consisted the simulation model. Lingo software is used to solve this model. The simulation result shows that the utilization of reclaimed water is a feasible approach to the achievement of the water pollutant reduction and economic development.


2021 ◽  

<p>The City of San Angelo has been imposed on urban flooding and no-point source pollution and develop storm water monitoring and modeling project for managing these storm water issues. This study focuses on the stormwater peak flow reduction and water pollutant improvement by using small serial retention structures. The storm water data collected are utilized to verify storm water and event mean concentration in SWMM model. The verified SWMM that has range from 0.6 to 0.8 of coefficient of determination is modeled to evaluate small serial dams for reducing peak flow and water quality loading. Small serial dams explain the 26%~55.3% peak flow reduction and 53.2%~93.7% water pollutant removal percent. Sensitivity analysis results for three kinds of orifice sizes provide that smaller size increases the hydraulic retention and reduces the peak flow than other bigger size while the bigger size shows effective water pollutant reduction than small size.</p>


2004 ◽  
Vol 70 (7) ◽  
pp. 4012-4020 ◽  
Author(s):  
Joana Falcão Salles ◽  
Johannes Antonius van Veen ◽  
Jan Dirk van Elsas

ABSTRACT The assessment of Burkholderia diversity in agricultural areas is important considering the potential use of this genus for agronomic and environmental applications. Therefore, the aim of this work was to ascertain how plant species and land use management drive the diversity of the genus Burkholderia. In a greenhouse experiment, different crops, i.e., maize, oat, barley, and grass, were planted in pots containing soils with different land use histories, i.e., maize monoculture, crop rotation, and permanent grassland, for three consecutive growth cycles. The diversity of Burkholderia spp. in the rhizosphere soil was assessed by genus-specific PCR-denaturing gradient gel electrophoresis (DGGE) and analyzed by canonical correspondence analysis (CCA). CCA ordination plots showed that previous land use was the main factor affecting the composition of the Burkholderia community. Although most variation in the Burkholderia community structure was observed between the permanent grassland and agricultural areas, differences between the crop rotation and maize monoculture groups were also observed. Plant species affected Burkholderia community structure to a lesser extent than did land use history. Similarities were observed between Burkholderia populations associated with maize and grass, on the one hand, and between those associated with barley and oat, on the other hand. Additionally, CCA ordination plots demonstrated that these two groups (maize/grass versus barley/oat) had a negative correlation. The identification of bands from the DGGE patterns demonstrated that the species correlated with the environmental variables were mainly affiliated with Burkholderia species that are commonly isolated from soil, in particular Burkholderia glathei, B. caledonica, B. hospita, and B. caribiensis.


2009 ◽  
Author(s):  
Susan Mineka ◽  
Emily Durbin
Keyword(s):  

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