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Montpelier, VT, United States

Budreski K.,Stone Environmental | Richardson K.,Esri
Sea Technology | Year: 2010

Ecosystem-based management (EBM) is the study of all the complex interactions within an ecosystem. The atlas was developed by the New York Ocean and Great Lakes Ecosystem Conservation Council. The council, created in 2006, is chartered with protecting, restoring and enhancing New York's ocean and Great Lakes ecosystems while taking into account sustainable economic development and job creation. The portal provides a robust way for users to search all the data holdings in the atlas. Users of the portal can perform metadata searches by keyword, data type, data category, date modified and geographic location. Information for specific areas of interest can be easily found and compared in this manner. Many datasets are from organizations that had never widely distributed geospatial data before. Data providers have several avenues to easily publish data using the portal. Source


Winchell M.F.,Stone Environmental | Jones R.L.,Bayer CropScience | Estes T.L.,Stone Environmental
ACS Symposium Series | Year: 2011

Vegetated filter strips (VFSs) established at the downslope edge of agricultural fields have long been recommended as a management practice to reduce sediment, nutrients, and pesticides in surface runoff before it enters water bodies. Recently VFSs have been mandated as label requirements for plant protection products in Europe and North America. Several simulation models have been developed to predict the amount of pesticide active ingredients and their metabolites removed from runoff flowing through these strips. Removal efficiency is a function of several parameters and must be predicted on an event basis. The predictions of four simulation models (APEX, PRZM-BUFF, REMM, and VFSMOD) were compared using three data sets. Conditions simulated included a range of soil properties, slopes, rainfall events, and pesticide characteristics. All four models predicted reductions of pesticides in the VSFs consistent with the observed reductions, with VFSMOD simulations in closest agreement with the measured data across the three data sets. © 2011 American Chemical Society. Source


Winchell M.,Stone Environmental | Padilla L.,Stone Environmental | Jackson S.,BASF | Mitchell G.,FMC Corporation
ACS Symposium Series | Year: 2014

An urban residential pesticide exposure modeling approach using the Storm Water Management Model (SWMM) has been developed and validated in a high density residential watershed in southern California. The approach incorporates pyrethroid wash-off characteristics from pervious and impervious surfaces, neighborhood characteristics, and local pyrethroid application practices. This modeling approach was extended to the Southeast, South Central, Northwest, North Central, Northeast, and Mid-Atlantic US through parameterization of local use practices, along with local weather and irrigation characteristics. Application of the SWMM modeling approach to a broader population of regional conditions has provided aquatic exposure estimates important for developing a comprehensive higher tier ecological risk assessment for pyrethroids at the national scale. © 2014 American Chemical Society. Source


Estes T.L.,Stone Environmental | Pai N.,Stone Environmental | Winchell M.F.,Stone Environmental
Pest Management Science | Year: 2015

BACKGROUND: A key factor in the human health risk assessment process for the registration of pesticides by the US Environmental Protection Agency (EPA) is an estimate of pesticide concentrations in groundwater used for drinking water. From 1997 to 2011, these estimates were obtained from the EPA empirical model SCI-GROW. Since 2012, these estimates have been obtained from the EPA deterministic model PRZM-GW, which has resulted in a significant increase in estimated groundwater concentrations for many pesticides. RESULTS: Historical groundwater monitoring data from the National Ambient Water Quality Assessment (NAWQA) Program (1991-2014) were compared with predicted groundwater concentrations from both SCI-GROW (v.2.3) and PRZM-GW (v.1.07) for 66 different pesticides of varying environmental fate properties. The pesticide environmental fate parameters associated with over- and underprediction of groundwater concentrations by the two models were evaluated. CONCLUSION: In general, SCI-GROW2.3 predicted groundwater concentrations were close to maximum historically observed groundwater concentrations. However, for pesticides with soil organic carbon content values below 1000Lkg-1 and no simulated hydrolysis, PRZM-GW overpredicted, often by greater than 100ppb. © 2015 Society of Chemical Industry. Source


Winchell M.,Stone Environmental | Peranginangin N.,Syngenta | Estes T.,Stone Environmental | Padilla L.,Stone Environmental | And 2 more authors.
ACS Symposium Series | Year: 2014

The standard regulatory approach for predicting aquatic pesticide Expected Environmental Concentrations (EECs) in an ecological risk assessment is to use the PRZM/EXAMS model to simulate a ten hectare field draining into a one hectare pond. This approach assumes that 100% of the crop area draining into the pond is treated with the pesticide on a soil representative of the geographic region and crop. In reality, the characteristics of pond drainage areas vary widely over the geographic extent of interest for a typical exposure assessment. An approach that accounts for variability in soils, weather, percent cropped area, and pesticide use was developed to predict aquatic pesticide concentrations as part of an endangered species risk assessment. The approach used spatially explicit data and the PRZM/EXAMS model to predict a probability distribution of aquatic EECs reflective of the species habitat area and may be applied in exposure assessments required for other ecological risk assessments. © 2014 American Chemical Society. Source

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