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This is a geospatial online decision support tool designed to help identify locations where controlled environment agriculture (CEA) can be cited to take advantage of energy and water resources. It also quantifies the benefits of selected energy and water efficiency measures.
This framework was developed to provide data preprocessing for spatiotemporal agricultural yield data and remote sensing data for modelling using artificial neural networks (ANNs) to predict subfield crop yield estimates. The software includes methods to train, validate, and test ANN models. It also include methods to infer on new remote sensing data.
This is the AmeriFlux version of the carbon flux data for the site CA-MA1 Manitoba Agricultural Site 1. Site Description - This field had been in perennial forages (grass with small amount of legume) for several decades. Field size = 39 ha. In 2008, the producer tilled the land so that part of the summer had perennial forage, and the remainder was fallow. In 2009, oats were planted. In 2010, canola was planted. In 2011, oats were planted. See Table 3 in Taylor et al (2013) describing site management practices.
This is the AmeriFlux version of the carbon flux data for the site CA-MA2 Manitoba Agricultural Site 2. Site Description - This field had been in perennial forages (grass with small amount of legume) for several decades. Field size = 60 ha. In 2009, the producer tilled the land so that part of the summer had perennial forage, and the remainder was fallow (see effect outlined by Fraser and Amiro 2013). In 2010, oats were planted. In 2011, the field was too wet to plant and remained fallow. Cattle were in the field for a brief period in June 2011to feed on weeds. See Table 2 in Taylor et al (2013) describing site management practices.
This is the AmeriFlux version of the carbon flux data for the site CA-MA3 Manitoba Agricultural Site 3. Site Description - This field has been in perennial forages (grass (timothy, fescue, brome) with small amount of legume) for several decades. Field size = 40 ha. Hay was harvested once each year. Cattle were placed in the field each autumn to graze. See Table 1 in Taylor et al (2013) describing site management practices.
This is the AmeriFlux version of the carbon flux data for the site US-CS1 Central Sands Irrigated Agricultural Field. Site Description - Heartland Farms Center-Pivot Irrigated Potato Field
This is the AmeriFlux version of the carbon flux data for the site US-CS4 Central Sands Irrigated Agricultural Field. Site Description - Heartland Farms Center-Pivot Irrigated Potato Field
This is the AmeriFlux version of the carbon flux data for the site US-CS5 Central Sands Irrigated Agricultural Field. Site Description - Heartland Farms Center-Pivot Irrigated Potato Field
This is the AmeriFlux version of the carbon flux data for the site US-CS6 Central Sands Irrigated Agricultural Field. Site Description - Worzella Farms Center-Pivot Irrigated Potato Field
This is the AmeriFlux version of the carbon flux data for the site US-CS8 Central Sands Irrigated Agricultural Field. Site Description - Worzella Farms Center-Pivot Irrigated Potato Field
Existing scientific literature shows that health and agricultural impacts attributable to air pollution are significant and should be considered in the integrated analysis of human and Earth-system interactions. The implementation of policies that affect the power sector, the composition of the vehicle fleet or the investments and deployment of different energy sources will in turn result in different levels of air pollution. Even though the various methodologies for estimating the impacts of air pollution, such as exposure-response functions, are extensively applied by the scientific community, they are normally not included in integrated assessment modeling outputs.
Subsurface tile drains act as preferential flow paths that can increase nutrient runoff from agricultural fields. Phosphorus is the limiting nutrient for algal growth in fresh water bodies.
The Agricultural Ice Nuclei at Southern Great Plains (AGINSGP) field campaign was conducted from April 4 to April 29, 2022, at the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) SGP site in Oklahoma. The goal of this campaign was to improve understanding of the sources and variability of ice-nucleating particles (INPs) at the SGP site. To this end, the key objectives of the campaign were (1) to produce a high-quality data set including measurements of atmospheric INP concentrations and aerosol particle properties relevant to the sources of INPs; and (2) to conduct a residual characterization experiment including offline and online analysis of the physical and chemical characteristics of INPs sampled in ambient air at SGP.
The goal of this study is to evaluate the state of biochar technology and determine the feasibility of integrating small-scale biochar production in ways that benefit smaller, diversified producers. Because of the emergence of carbon markets, this innovative climate and agricultural solution may be financed externally, making biochar more accessible to the growers that could benefit. In this report, we review the current state of biochar technology (Section 2), methods for assessing the potential climate impacts derived from its implementation (Section 3), and the current state of carbon-offset mechanisms for biochar technology (Section 4). In Section 5, we apply this knowledge to several specific biochar technology scenarios involving combinations of different feedstocks, production methods, and economic incentives to arrive at estimates of climate-mitigation impacts and costs per carbon credit generated. We conclude with a summary in Section 6.
This document constitutes the final report of the project titled “A New Approach for Increasing Efficiency of Agricultural Tractors and Implements” (DOE award # DE- EE0009201). The project started Oct 1st, 2020 and ended Sept 30th, 2024.
Hellwinckel, C., D. de la Torre Ugarte, J. L. Field, and M. Langholtz. 2024. “Chapter 5: Biomass from Agriculture.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316171.
Introduction There is a global goal to reduce greenhouse gas emissions by 43% by 2023. Nuclear microreactors, a subset of small modular reactors, offer a potential solution due to their compact size, transportability, and carbon-neutral power generation capabilities. Methods This study explores the feasibility of using heat from nuclear microreactors for bioconversion and agricultural processes, including transforming biomass into energy carriers and products such as syngas, bio-oil, and pasteurized milk. Operating requirements for gasification, pyrolysis, hydrothermal carbonization, hydrothermal liquefaction, hydrothermal gasification, ethanol production, anaerobic digestion, and pasteurization were obtained through a literature review. A Brayton cycle model based on the eVinci TM microreactor was developed to assess the feasibility of powering these processes using nuclear microreactor heat. Results and Discussion Exergetic efficiency values for high-temperature processes ranged from 72% to 100%, whereas lower-temperature processes ranged from 2% to 53%. These efficiencies depend on the available source temperature for each microreactor design. There were trade-offs between producing net power and using process heat, particularly for high-temperature processes. Three heat exchanger locations were considered: before the turbine (600 ℃ ), between the turbine and regenerator (370 ℃ ), and after the regenerator (192 ℃ ). High-temperature processes like gasification require temperatures too high for feasibility. Middle temperature processes are better suited to a heat exchanger between the turbine and regenerator, while also operable before the turbine. Lower-temperature processes like pasteurization and anaerobic digestion can use waste heat after the regenerator and do not impact power production. These findings are valuable for optimizing nuclear microreactor heat use and aligning with global climate initiatives.
The rhizosphere microbiome plays a crucial role in supporting plant productivity and ecosystem functioning by regulating nutrient cycling, soil integrity, and carbon storage. However, deciphering the intricate interplay between microbial relationships within the rhizosphere is challenging due to the overwhelming taxonomic and functional diversity. Here we present our systematic design framework built on microbial colocalization and microbial interaction, toward successful assembly of multiple rhizosphere-derived Reduced Complexity Consortia (RCC). We enriched co-localized microbes from Brachypodium roots grown in field soil with carbon substrates mimicking Brachypodium root exudates, generating 768 enrichments. By transferring the enrichments every 3 or 7 days for 10 generations, we developed both fast and slow-growing reduced complexity microbial communities. Most carbon substrates led to highly stable RCC just after a few transfers. 16S rRNA gene amplicon analysis revealed distinct community compositions based on inoculum and carbon source, with complex carbon enriching slow growing yet functionally important soil taxa like Acidobacteria and Verrucomicrobia. Network analysis showed that microbial consortia, whether differentiated by growth rate (fast vs. slow) or by succession (across generations), had significantly different network centralities. Besides, the keystone taxa identified within these networks belong to genera with plant growth-promoting traits, underscoring their critical function in shaping rhizospheric microbiome networks. Furthermore, tested consortia demonstrated high stability and reproducibility, assuring successful revival from glycerol stocks for long-term viability and use. Our study represents a significant step toward developing a framework for assembling rhizosphere consortia based on microbial colocalization and interaction, with future implications for sustainable agriculture and environmental management.