Michael Winchell
YOU?
Author Swipe
Automated probabilistic spatial co-occurrence assessments for aquatic endangered species Open
The U.S. Environmental Protection Agency must evaluate potential impacts on federally listed threatened and endangered species during the course of pesticide registration. However, current deterministic methods for analyzing geospatial co-…
Validation of the spray drift modeling software AGDISPpro applied to remotely piloted aerial application systems Open
Regulatory bodies worldwide are currently developing modeling frameworks to simulate pesticide drift following applications from remotely piloted aerial application systems (RPAAS). Unfortunately, there are no currently validated mechanist…
Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach Open
Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting in an inability to capture the variability of P status across the study region. This stu…
Understanding Pesticide Exposure Mitigation Effectiveness in Achieving Endangered Species Protection Goals Open
To protect the environment, pesticides often require mitigation measures to reduce losses via runoff, erosion, spray drift, and other routes of transport. Although many mitigation measures are generally effective at reducing pesticide loss…
Improving endangered species assessments using the Automated Probabilistic Co-Occurrence Assessment Tool Open
Under the US Endangered Species Act (ESA), calculating the degree of spatial overlap among endangered species' geographic ranges and registered pesticide use patterns is required and critical to assessing and mitigating potential risks pos…
Effectiveness of side-inlet vegetated filter strips at trapping pesticides from agricultural runoff Open
Agriculture can be a contributor of pollutants, including pesticides and excess sediment, to aquatic environments. However, side-inlet vegetated filter strips (VFSs), which are planted around the upstream side of culverts draining agricult…
Measuring and preliminary modeling of drift interception by plant species Open
Currently, the concept of plant capture efficiency is not quantitatively considered in the evaluation of off‐target drift for the purposes of pesticide risk assessment in the United States. For on‐target pesticide applications, canopy capt…
Technical note: Extending the SWAT model to transport chemicals through tile and groundwater flow Open
The Soil and Water Assessment Tool (SWAT) is frequently used to simulate the transport of water-soluble chemicals in the environment such as pesticides and their metabolites originating from agricultural applications. However, the model do…
Comment on hess-2022-150 Open
The SWAT model is frequently used to simulate the transport of water-soluble chemicals in the environment such as pesticides and their metabolites originating from agricultural applications. However, the model does not simulate the transpo…
Comment on hess-2022-150 Open
Abstract. The SWAT model is frequently used to simulate the transport of water-soluble chemicals in the environment such as pesticides and their metabolites originating from agricultural applications. However, the model does not simulate t…
Technical Note: Extending the SWAT model to transport chemicals through tile and groundwater flow Open
The SWAT model is frequently used to simulate the transport of water-soluble chemicals in the environment such as pesticides and their metabolites originating from agricultural applications. However, the model does not simulate the transpo…
Simulation of Pesticide and Metabolite Concentrations Using SWAT+ Landscape Routing and Conditional Management Applications Open
The estimation of pesticide concentrations in surface water bodies with models is a critical component of the environmental and human health risk assessment process. The most recent version of the Soil and Water Assessment Tool (SWAT+) pro…
Comparison of pesticide concentrations observed in community water systems to predictions from U.S. regulatory aquatic exposure models Open
The Variable Volume Water Model (VVWM), the receiving water body model for the USEPA regulatory assessment of aquatic pesticide exposures, is composed of a set of static and quasistatic receiving water body conceptual models, but research …
SWAT‐LUT: A Desktop Graphical User Interface for Updating Land Use in SWAT Open
Long‐term simulations of agricultural watersheds have often been done assuming constant land use over time, but this is not a realistic assumption for many agricultural regions. This paper presents the soil and water assessment tool (SWAT)…
Soil and Water Assessment Tool model predictions of annual maximum pesticide concentrations in high vulnerability watersheds Open
Recent national regulatory assessments of potential pesticide exposure of threatened and endangered species in aquatic habitats have led to increased need for watershed-scale predictions of pesticide concentrations in flowing water bodies.…
A refined ecological risk assessment for California red-legged frog, Delta smelt, and California tiger salamander exposed to malathion Open
The California red-legged frog (CRLF), Delta smelt (DS), and California tiger salamander (CTS) are 3 species listed under the United States Federal Endangered Species Act (ESA), all of which inhabit aquatic ecosystems in California. The US…
Appendix D. The first and second principal component scores for each weather station id and the loading for each variable. Open
The first and second principal component scores for each weather station id and the loading for each variable.
Appendix C. The spatial distribution of the 2851 USDA-NRCS nonirrigated alfalfa yields across the north central and eastern United States used in Fig. 2. Open
The spatial distribution of the 2851 USDA-NRCS nonirrigated alfalfa yields across the north central and eastern United States used in Fig. 2.
Appendix E. The change in switchgrass LBP expected from current climate by 2080–2090 under the A2 scenario in relation to changes in growing season precipitation, maximum temperature, and minimum temperature. Open
The change in switchgrass LBP expected from current climate by 2080–2090 under the A2 scenario in relation to changes in growing season precipitation, maximum temperature, and minimum temperature.
Appendix A. Table with parameter estimates for the best-fit multiple simultaneous spatial autoregressive linear model. Open
Table with parameter estimates for the best-fit multiple simultaneous spatial autoregressive linear model.
Appendix B. Figure showing the relative standard error (RSE) of mean switchgrass yield as a function of the number of random points distributed in each 27.5-km² cell. Open
Figure showing the relative standard error (RSE) of mean switchgrass yield as a function of the number of random points distributed in each 27.5-km² cell.