Equipping conservation practitioners with quantitative estimations of sediment and P reduction from BMPs Jul 2025

Project Update

Work continues on preparing a version of the ACPF OFETool that can be run anywhere in the DEP domain. A draft version of the OFETool for inclusion in the ACPF has been finalized that accesses DEP web services and requests DEP model runs to summarize. The draft tool runs a two-step approach of the tool. 1 - Obtain DEP info; 2 - Run a HUC12 OFE assessment. However, the draft OFETool does not yet access the DEP tillage rasters as those only became available as a web service in late June. Read more about Equipping conservation practitioners with quantitative estimations of sediment and P reduction from BMPs Jul 2025

Researcher looks for conservation that ‘pencils out’

July 29, 2025
News

While many farmers express interest in growing alternative crops that could be profitable and improve environmental quality, there are strong incentives for growing conventional row crops. Exploring the potential of options that could outweigh those risks is a professional quest for Andy VanLoocke, associate professor of agronomy at Iowa State University. Recent research he led showed that incorporating miscanthus, a perennial biomass crop, on less productive farm ground can increase farm income, and improve water quality and soil health.   Read more about Researcher looks for conservation that ‘pencils out’

Linking agricultural practices to water quality improvement: The importance of spatial scale in accurately characterizing nonpoint source nutrient loads in Iowa stream systems Jan 2025

Project Update

Monitoring and field work: We have continued monitoring nutrient and hydrologic loads in Walnut Creek. We established an additional monitoring station along the mainstem of the system.

Nutrient assays: Water quality samples collected during 2024 (~2000 samples total) are still being assayed. This effort should be complete by mid-April.

Data analysis: We have begun analyzing 2021 through mid-2024 data and anticipate having a complete analysis of the nutrient and sediment load/yield completed by May 2025 for 2021, 2022, 2023 and 2024, pending assays of 2024 samples. Read more about Linking agricultural practices to water quality improvement: The importance of spatial scale in accurately characterizing nonpoint source nutrient loads in Iowa stream systems Jan 2025

Equipping conservation practitioners with quantitative estimations of sediment and P reduction from BMPs Jan 2025

Project Update

Previous PI Luquin moved to a position with the University of Minnesota on September 15. He remains committed to completing the project and the remainder of the project period was mostly devoted to paperwork changing PI from Luquin to Brian Gelder at ISU. Minor amounts of additional project work consisted of building an Ag Conservation Planning Framework ArcGIS tool to enable sharing of the OFETool process with GIS professionals and watershed managers.

Related activities and accomplishments Read more about Equipping conservation practitioners with quantitative estimations of sediment and P reduction from BMPs Jan 2025

Dam! Impacts of Beaver Dams on Surface and Groundwater Quality Feb 2025

Project Update

Andrew Rupiper (MS student, whose project was partially supported through 2020-05) graduated in August 2024. Since then, he has been continuing data analyses and writing related to his thesis, with a planned journal submission to JEQ in spring 2025. In addition, undergraduate students have been assisting Andrew with final sample analyses and field reconnaisance. Read more about Dam! Impacts of Beaver Dams on Surface and Groundwater Quality Feb 2025

Building cross-scale predictability of land-to-aquatic nitrogen loads in agriculture-dominated watersheds Feb 2025

Project Update

We conducted a series of model simulations to assess the potential of in-field and edge-of-field practices in reducing nitrate loading. In-field strategies included cover crops, fertilizer reduction, manure substitution and fertilizer timing adjustments, while saturated riparian buffers (SRBs) were evaluated for additional nitrate removal based on daily estimates of water flow and nitrate concentration from the DLEM-catchment model. Read more about Building cross-scale predictability of land-to-aquatic nitrogen loads in agriculture-dominated watersheds Feb 2025

Linking Agricultural Practices to Water Quality Improvement: The Importance of Scale in Accurately Characterizing Nonpoint Source Nutrient Loads in Iowa Streams Feb 2025

Project Update

We have continued maintaining the water quality monitoring locations installed in Walnut Creek and have begun analyzing the data collected since the start of the project, including beginning a draft of a manuscript pertaining to the Iowa Creek synoptic sampling work.

Related activities and accomplishments

We have held several meetings with PIs on another project to relay how the results of this grant complement their ongoing work.

One manuscript is in draft.  Read more about Linking Agricultural Practices to Water Quality Improvement: The Importance of Scale in Accurately Characterizing Nonpoint Source Nutrient Loads in Iowa Streams Feb 2025

Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Apr 2025

Project Update

The monthly (4-week interval) sampling of the study field has been completed. For a total of 1,400 samples, a consistent grid of 100 samples per month was taken from the field to a depth of 15 cm (6 inches), packed into individual bags, and sent for further analysis at a commercial laboratory for soil nutrients. A stack of covariates, including different digital terrain attributes (slope gradient, profile curvature, eastness, northness, etc.) and remote sensing imagery (Sentinel-2, Landsat-8) has been created to be used as predictors in the modelling process. Read more about Spatial models for scaling optimal nutrient management research from plot to field and watershed scales Apr 2025

Quantifying co-benefits of water quality conservation practices for wildlife of greatest conservation need in Iowa Jun 2025

Project Update

We have established a fully reproducible, high-resolution workflow for generating species distribution maps for Species of Greatest Conservation Need and other focal taxa. This includes finalized covariates, Bayesian occupancy modeling and spatial probability estimation. All the steps necessary to the process are coded in R, an open-source coding program. The benefit of this approach is reproducibility, so that future researchers can re-run the same analyses with updated data. Read more about Quantifying co-benefits of water quality conservation practices for wildlife of greatest conservation need in Iowa Jun 2025

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