Systems for Monitoring and Analytics for Renewable Transportation Fuels from Agricultural Resources and Management (SMARTFARM SBIR/STTR)
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54 ENVIRONMENTAL SCIENCES↗
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Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains
Establish publicly available open-source, high-resolution datasets of greenhouse gas (GHG) emissions, meteorology, soil, and vegetation to support testing and validation of emerging biofuel production monitoring technologies. The project team deployed latest technologies to collect “Gold Standard” data for field- level fluxes of CO 2 , N 2 O, CH 4 and H 2 O in grain sorghum production systems in Texas, Oklahoma, and Kansas. The Oklahoma State University led SMARTFARM was initiated on Oct 1, 2020, due to COVID-19 pandemic delay. We installed closed-path dual laser Eddy Covariance (EC) flux measurement system along with a well-established open-path EC system for simultaneously measuring field-level fluxes of CO 2 , N 2 O, CH 4 , and H2O. The eddy flux data are combined with sub-acre soil moisture and temperature measurements, plant and soil analysis data (nutrient, composition, carbon, growth, and phenology), spatial surveys of soil EC, and pH. Grain sorghum crop was managed including planting and harvesting by producers. All teams recruited postdocs and students for the project and submitted purchase orders for field equipment. The team has developed a draft impact sheet and finalized the advisory board for the project.
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AmeriFlux US-RGB Butte County Rice Farm
This is the AmeriFlux version of the carbon flux data for the site US-RGB Butte County Rice Farm. Site Description - Commercially farmed, mid-grain japonica rice variety, field in Butte County, California. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project. Field is approx. 30 ha in size in three checks with commercial rice over rice rotation on silty clay loam.
Schuppenhauer, Michael↗
AmeriFlux US-RGA Arkansas Corn Farm
This is the AmeriFlux version of the carbon flux data for the site US-RGA Arkansas Corn Farm. Site Description - Commercially farmed corn-soy rotation in Arkansas County, Arkansas. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
AmeriFlux US-RGo Glenn County Organic Rice Farm
This is the AmeriFlux version of the carbon flux data for the site US-RGo Glenn County Organic Rice Farm. Site Description - Organically farmed medium-grain brown rice field in Glenn County, California. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project. Field check is approx. 7 ha in size (1,250 ft by 250 ft), part of a 75+ acre site in several checks with commercial rice over rice rotation on Tehama silt loam, management practices include winter cover crops and AWD.
Schuppenhauer, Michael R.↗
AmeriFlux US-RGW Desha County Rice Farm
This is the AmeriFlux version of the carbon flux data for the site US-RGW Desha County Rice Farm. Site Description - Commercially farmed rice variety, field in Desha County, Arkansas. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
AmeriFlux US-DS3 Staten Rice 1
This is the AmeriFlux version of the carbon flux data for the site US-DS3 Staten Rice 1. Site Description - This tower is located in a rice field in the California Delta on Staten Island. The tower is within a few square kilometers of rice fields that comprise the vast majority of the southwestern portion of Staten Island. This is part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
AmeriFlux US-RGF Stanislaus County Forage Farm
This is the AmeriFlux version of the carbon flux data for the site US-RGF Stanislaus County Forage Farm. Site Description - Commercially farmed field in Stanislaus County, California. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project (https://arpa-e.energy.gov/news-and-media/blog-posts/smartfarm-changing-whats-possible-agriculture). Field is approx. 31.3 ha in size (1,300 ft by 2,600 ft), part of a 176+ acre site in several fields with commercial corn-wheat rotation for silage, in combination with manure application.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-RGA Arkansas Corn Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGA Arkansas Corn Farm. This is the FLUXNET version of the carbon flux data for the site US-RGA Arkansas Corn Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed corn-soy rotation in Arkansas County, Arkansas. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-RGB Butte County Rice Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGB Butte County Rice Farm. This is the FLUXNET version of the carbon flux data for the site US-RGB Butte County Rice Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed, mid-grain japonica rice variety, field in Butte County, California. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project. Field is approx. 30 ha in size in three checks with commercial rice over rice rotation on silty clay loam.
Schuppenhauer, Michael↗
AmeriFlux FLUXNET-1F US-RGo Glenn County Organic Rice Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGo Glenn County Organic Rice Farm. This is the FLUXNET version of the carbon flux data for the site US-RGo Glenn County Organic Rice Farm produced by applying the standard ONEFlux (1F) software. Site Description - Organically farmed medium-grain brown rice field in Glenn County, California. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project. Field check is approx. 7 ha in size (1,250 ft by 250 ft), part of a 75+ acre site in several checks with commercial rice over rice rotation on Tehama silt loam, management practices include winter cover crops and AWD.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-DS3 Staten Rice 1
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-DS3 Staten Rice 1. This is the FLUXNET version of the carbon flux data for the site US-DS3 Staten Rice 1 produced by applying the standard ONEFlux (1F) software. Site Description - This tower is located in a rice field in the California Delta on Staten Island. The tower is within a few square kilometers of rice fields that comprise the vast majority of the southwestern portion of Staten Island. This is part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-RGF Stanislaus County Forage Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGF Stanislaus County Forage Farm. This is the FLUXNET version of the carbon flux data for the site US-RGF Stanislaus County Forage Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed field in Stanislaus County, California. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project (https://arpa-e.energy.gov/news-and-media/blog-posts/smartfarm-changing-whats-possible-agriculture). Field is approx. 31.3 ha in size (1,300 ft by 2,600 ft), part of a 176+ acre site in several fields with commercial corn-wheat rotation for silage, in combination with manure application.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-RGW Desha County Rice Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGW Desha County Rice Farm. This is the FLUXNET version of the carbon flux data for the site US-RGW Desha County Rice Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed rice variety, field in Desha County, Arkansas. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
Feedstock Carbon Intensity Calculator (FD-CIC): Users’ Manual and Technical Documentation
The carbon intensities (CIs) of biofuels are determined with the life cycle analysis (LCA) technique, which accounts for the energy/material uses and emissions during the complete supply chain of biofuel including feedstock production and fuel conversion stages. Regulatory agencies such as California Air Resources Board (CARB) adopts LCA to calculate biofuel CIs. The Low Carbon Fuel Standard (LCFS) program developed by CARB allows individual biofuel conversion facilities to submit their own biofuel CIs with their facility input data and incentivizes the reduction in the CI specific to that particular facility compared to a reference fuel’s CI (Liu et al 2020). Such an incentive program has driven innovations in biorefineries to reduce their greenhouse gas (GHG) emissions by linking their revenue directly to its CI score through LCFS credit trading. Besides the biofuel conversion stage, different farming practices for feedstock growth can result in significant CI variations for feedstocks, thus for biofuels. To provide evidence-based research findings, the U.S. Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E) has supported the Systems Assessment Center of the Energy Systems and Infrastructure Analysis Division at Argonne National Laboratory to examine CI variations of different farming practices to grow agricultural crops for biofuel production. Meanwhile, the ARPA-E has launched the Systems for Monitoring and Analytics for Renewable Transportation Fuels from Agricultural Resources and Management (SMARTFARM) program to develop technologies and data platforms that enable an accurate measurement of key farming parameters that can help robust accounting of the GHG benefits of sustainable, low-carbon agronomic practices at farm level.
54 ENVIRONMENTAL SCIENCES↗
Extrapolation Domains for Aggregating Environmental Outcomes from Local to Regional Levels
Billions of dollars are invested every year to run field experiments to quantify the response of crops to new technologies and associated environmental outcomes. Given the diversity of environments where crop production occurs, conducting these research studies without a robust framework for research site selection and upscaling results to larger spatial scales is inefficient. In this project, researchers from the University of Nebraska-Lincoln used their unique Technology Extrapolation Domains framework (TED) as a tool to guide the selection of experimental sites and as basis for aggregating and validating environmental outcomes from local to regional levels. In the present project, we first used the TED framework to evaluate the current distribution and area coverage of the current SMARTFARM sites. The purpose was to showcase how it is possible to use the TED framework to guide site selection and extrapolate results over space. Additionally, the original TED framework was expanded to account for other factors influencing environmental outcomes by inclusion of three additional variables: soil organic matter, soil texture, and topographic wetness index. The resulting expanded framework (TED-E) was validated using nitrogen (N) losses from corn in the United States as a case study. To do so, we used N balance as a proxy to N losses and we evaluated the capacity of the framework to explain variation in N balance across fields and across countries. We found that the TED-E has substantially higher predictive power than the original TED framework to explain spatial variation in N balance. However, improvements in predictive power with the TED-E tool come at the expense of a higher number of TEDs needed to achieve a given crop area coverage compared with the original TED framework. We conclude that the new TED-E framework can help aggregate and extrapolate environmental outcomes from research sites to regional levels and improve the visualization of their spatial patterns across the United States. An online version of the framework is available at: https://www.toolted.org/
54 ENVIRONMENTAL SCIENCES↗
NitroNet: Smart System to Quantify Nitrous Oxide Emissions
Agricultural croplands are the largest anthropogenic source of nitrous oxide (N 2 O), the third most important greenhouse gas. Emissions are characterized by “hot spots” and “hot moments”, meaning emissions are highly heterogeneous in space and time. Emissions are driven by nitrification and denitrification processes which depend upon complex factors such as soil characteristics (type, compaction, pH, moisture, topography), management practices (fertilizer type and application, tillage, crop type, field history, irrigation), biogeochemistry (organic carbon, microbial composition), and meteorology (precipitation, temperature, and wind). For these reasons, quantifying cropland emissions by either measurements or modeling is extremely challenging with large uncertainties.
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