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38 results for “Biofuel”
Data from: Nest survival modeling using a multi-species approach in forests managed for timber and biofuel feedstock
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Data from: Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan
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Biofuels Harvest:Biodiversity: A field test of biofuel production and ground-water quality
Bioenergy could be an important part of the solution to the projected climate problems of the future, and in addition could provide auxiliary ecological services. The project described here aims to parameterize expected benefits of diverse prairie biofuel plantations for groundwater quality, and also to further evaluate its biofuel potential. This project, done in cooperation with the USGS, grows out of purely scientific discoveries in other Cedar Creek experiments. We know that diverse prairie systems are better able to retain inorganic nitrogen than monoculture systems (e.g., Dijkstra etal. 2007). However, nitrogen is just one pollutant of many being delivered to surface-water and ground-water from agricultural systems. There are a number of others including phosphorus, pesticides, and veterinary pharmaceuticals. This fact combined with the rising demand for corn grain ethanol could lead to further declines in the water quality of agricultural regions in the United States. Perennial vegetative buffers, in particular diverse prairies and/or hay (CRP), are proposed solutions. The vegetation in such buffers can be used for biofuel and simultaneously appear to be attenuate leaching of agricultural compounds through the unsaturated zone to groundwater. This 3-year cooperative USGS and UMN study will (1) examine the ability of prairies and hay (CRP) to attenuate leaching of agricultural compounds to ground-water (2) compare biofuel production of four cropping systems: diverse prairie, hay (CRP), corn grown with chemical fertilizer, and corn grown with a combination of manure and chemical fertilizer, (3) provide for future investigations into microbial antibiotic resistance and (4) provide a better understanding of the unsaturated zone hydrology and shallow groundwater recharge at Cedar Creek. The project will take place in the E120 field.
Plant community light interception:Biodiversity: A field test of biofuel production and ground-water quality
Bioenergy could be an important part of the solution to the projected climate problems of the future, and in addition could provide auxiliary ecological services. The project described here aims to parameterize expected benefits of diverse prairie biofuel plantations for groundwater quality, and also to further evaluate its biofuel potential. This project, done in cooperation with the USGS, grows out of purely scientific discoveries in other Cedar Creek experiments. We know that diverse prairie systems are better able to retain inorganic nitrogen than monoculture systems (e.g., Dijkstra etal. 2007). However, nitrogen is just one pollutant of many being delivered to surface-water and ground-water from agricultural systems. There are a number of others including phosphorus, pesticides, and veterinary pharmaceuticals. This fact combined with the rising demand for corn grain ethanol could lead to further declines in the water quality of agricultural regions in the United States. Perennial vegetative buffers, in particular diverse prairies and/or hay (CRP), are proposed solutions. The vegetation in such buffers can be used for biofuel and simultaneously appear to be attenuate leaching of agricultural compounds through the unsaturated zone to groundwater. This 3-year cooperative USGS and UMN study will (1) examine the ability of prairies and hay (CRP) to attenuate leaching of agricultural compounds to ground-water (2) compare biofuel production of four cropping systems: diverse prairie, hay (CRP), corn grown with chemical fertilizer, and corn grown with a combination of manure and chemical fertilizer, (3) provide for future investigations into microbial antibiotic resistance and (4) provide a better understanding of the unsaturated zone hydrology and shallow groundwater recharge at Cedar Creek. The project will take place in the E120 field.
Data from: Harvesting biofuel grasslands has mixed effects on natural enemy communities and no effects on biocontrol services
1.Perennial bioenergy systems, such as switchgrass and restored prairies, are alternatives to commonly used annual monocultures such as maize. Perennial systems require lower chemical input, provide greater ecosystem services such as carbon storage, greenhouse gas mitigation, and support greater biodiversity of beneficial insects. However, biomass harvest will be necessary in managing these perennial systems for bioenergy production, and it is unclear how repeated harvesting might affect ecosystem services. 2.In this study, we examined how repeated production-scale harvesting of diverse perennial grasslands influences vegetation structure, natural enemy communities (arthropod predators and parasitoids), and natural biocontrol services in two states (Wisconsin and Michigan, USA) over multiple years. 3.We found that repeated biomass harvest reduced litter biomass and increased bare ground cover. Some natural enemy groups, such as ground-dwelling arthropods, decreased in abundance with harvest whereas others, such as foliar-dwelling arthropods increased in abundance. The disparity in responses is likely due to how different taxonomic groups utilize vegetation and differences in dispersal abilities. 4.At the community level, biomass harvest altered community composition, increased total arthropod abundance, and decreased evenness but did not influence species richness, diversity, or biocontrol services. Harvest effects varied with time, diminishing in strength both within the season (for total abundance and evenness), across seasons (for evenness), or were consistent throughout the duration of the study (for community composition). Greater functional redundancy and compensatory responses of the different taxonomic groups may have buffered against the potentially negative effects of harvest on biocontrol services. 5.Synthesis and applications. Our results show that in the short-term, repeated harvesting of perennial grasslands (when insect activity is low) consistently altered vegetation structure but had mixed effects on natural enemy communities and no discernable effects on biocontrol services. However, the long-term effects of repeated harvesting on vegetation structure, natural enemies, and other arthropod-derived ecosystem services such as pollination and decomposition remain largely unknown.
Supplemental Data for "Soil organic carbon change can reduce the climate benefits of biofuel produced from forest residues"
<p>The files contain the code and supplementary data for the article.</p>
Did U.S. Biofuel Policies Drive Up Feed and Meat Prices in Japan?
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Geospatial Dataset Estimating Corn and Soy Inputs for Biofuel Production
<p>This dataset provides estimates for the corn and soybean biomass used for biofuel production (corn ethanol and soybean biodiesel, respectively) based on the geographic locations of biofuel plants provided by US Energy Information Administration for the 2017 USDA crop census data. County-level biomass was allocated to each biofuel plant based on distance to the plant assuming all biomass is located at each county’s centroid. If two plants were competing for the same county’s biomass, priority was given to the biofuel plant with the highest production capacity. County-level biomass estimation was validated using reported state-level biomass to biofuel values. Reported values could only be found for 11 states, but the mean difference between reported and estimated biomass used for biofuel production was 1.4% for corn ethanol. </p>
Data from: Early accumulation of active fraction soil carbon in newly established cellulosic biofuel systems
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Data from: Harvesting biofuel grasslands has mixed effects on natural enemy communities and no effects on biocontrol services
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SAFARI 2000 Gas Emissions from Biofuel Use and Production, September 2000
Domestic biomass fuels (biofuels) are estimated to be the second largest source of carbon emissions from global biomass burning. Wood and charcoal provide approximately 90% and 10% of domestic energy in tropical Africa, respectively. As part of the Southern Africa Regional Science Initiative (SAFARI 2000), the University of Montana participated in both ground-based and airborne campaigns during the southern African dry season of 2000 to measure trace gas emissions from biofuel production and use and savanna fires, respectively.In September of 2000, ground-based, open-path Fourier transform infrared spectroscopy (OP-FTIR) was used to quantify 18 of the most abundant trace gases emitted by wood and charcoal cooking fires and an earthen, charcoal-making kiln in Zambia. These are the first, in-situ measurements of an extensive suite of trace gases emitted by tropical biofuel burning.This data set provides biofuel burning emission ratios and emission factors from field measurements for the following trace gases (in order of abundance): carbon dioxide (CO2); carbon monoxide (CO); methane (CH4); acetic acid (CH3COOH); methanol (CH3OH); formaldehyde (HCHO); ethene (C2H4); ammonia (NH3); acetylene (C2H2); nitric oxide (NO); ethane (C2H6); phenol (C6H5OH); propene (C3H6); formic acid (HCOOH); nitrogen dioxide (NO2), hydroxyacetaldehyde (HOCH2COH); and furan (C4H4O). The files are ASCII text files in comma-separated-value format. All emission factors units are grams of compound emitted per kilogram of dry fuel. Emission ratios are dimensionless.
Propelling sustainable energy: Multi-omics analysis of pennycress FATTY ACID ELONGATION 1 knockout for biofuel production
GEO Series GSE283023. Thlaspi arvense. 18 samples. Type: Expression profiling by high throughput sequencing.
RNA-sequencing reveals the complexities of the transcriptional response to lignocellulosic biofuel substrates in Aspergillus niger.
GEO Series GSE62284. Aspergillus niger. 6 samples. Type: Expression profiling by high throughput sequencing.
A Comprehensive Analysis of the Risks Associated with the Determination of Biofuels' Calorific Value by Bomb Calorimetry
<p>Dataset contains the experimental results obtained by the different institutes. This database was used to draw the graphs and perfomring the calculations in the following publication:<br> "Comprehensive Analysis of the Risks Associated with the Determination of Biofuels’ Calorific Value by Bomb Calorimetry"</p>
Integrated omics studies delineate the formation and dynamics of lipid droplets in Rhodococcus opacus PD630 for biofuel feedstock
GEO Series GSE42381. Rhodococcus opacus. 3 samples. Type: Expression profiling by high throughput sequencing.
Advanced Biofuel Value Chains Sourced by New Cropping Systems with Low iLUC Risk
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The short time-series transcriptome profiles of a human adipose mesenchymal stem cell by electrical stimulation of enzymatic biofuel cell
GEO Series GSE140781. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Phylogenomic Analysis of R2R3 MYB Transcription Factors in Sorghum and their Role in Conditioning Biofuel Syndrome
GEO Series GSE148558. Sorghum bicolor. 4 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.