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128 results for “carbon biomass”
Identification of taxa, counts, biomass and carbon biomass calculations for phytoplankton and ciliates from artic lakes near Toolik Lake LTER in summer 1998.
Identification of taxa, counts, biomass and carbon biomass calculations for phytoplankton and ciliates from artic lakes near Toolik Lake LTER in summer 1998.
Aboveground biomass carbon and nitrogen: Old-Field Chronosequence: Plant Productivity
The goal of this research is to study the change in plant growth and species distribution during succession. Annual plant growth above ground is annually sampled in more than 20 fields from 4 permanently marked 3m x 4m plots in each field. These fields were previously cultivated, but then abandoned from agriculture at various times in the past. The fields were left undisturbed for plants to develop from seeds within the soil or brought into the fields by wind or animals. The fields included in this study are 4, 5, 10, 24, 26, 28, 35, 39, 41, 45, 53, 70, 72, 77 and the Lawrence strip that was abandoned in 1988. This experiment was started in 1987 by lead investigators David Tilman and Johannes Knops. In 2001 new sampling was started in positions similar to the E054 plots in these E014 fields: 21, 27, 32, 40, 44, 47, 76. Past work at CDR and elsewhere has demonstrated an overriding influence of fire frequency in maintaining prairie openings and oak savanna at the prairie-forest border. Fire regimes harm some types of species while favoring others and drive light and nutrient dynamics, which in turn drive community functional attributes and diversity levels. Ultimately, fire frequency interacts with climate, N deposition, land use, and biotic invasion to determine the outcomes of tree-grass interactions and the dynamics of vegetation at ecotones such as the prairie-forest border in Minnesota. In 2006 each field was divided in half, and one half randomly chosen for periodic prescribed burning (a fire every other year). We anticipate that the burned half will continue succession to prairie grassland while the unburned half will become white pine stands if seed sources are nearby, or will otherwise undergo extremely slow succession to oaks.
Root biomass carbon and nitrogen: Old-Field Chronosequence: Plant Productivity
The goal of this research is to study the change in plant growth and species distribution during succession. Annual plant growth above ground is annually sampled in more than 20 fields from 4 permanently marked 3m x 4m plots in each field. These fields were previously cultivated, but then abandoned from agriculture at various times in the past. The fields were left undisturbed for plants to develop from seeds within the soil or brought into the fields by wind or animals. The fields included in this study are 4, 5, 10, 24, 26, 28, 35, 39, 41, 45, 53, 70, 72, 77 and the Lawrence strip that was abandoned in 1988. This experiment was started in 1987 by lead investigators David Tilman and Johannes Knops. In 2001 new sampling was started in positions similar to the E054 plots in these E014 fields: 21, 27, 32, 40, 44, 47, 76. Past work at CDR and elsewhere has demonstrated an overriding influence of fire frequency in maintaining prairie openings and oak savanna at the prairie-forest border. Fire regimes harm some types of species while favoring others and drive light and nutrient dynamics, which in turn drive community functional attributes and diversity levels. Ultimately, fire frequency interacts with climate, N deposition, land use, and biotic invasion to determine the outcomes of tree-grass interactions and the dynamics of vegetation at ecotones such as the prairie-forest border in Minnesota. In 2006 each field was divided in half, and one half randomly chosen for periodic prescribed burning (a fire every other year). We anticipate that the burned half will continue succession to prairie grassland while the unburned half will become white pine stands if seed sources are nearby, or will otherwise undergo extremely slow succession to oaks.
Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework
<p>Dataset for "Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework"</p>
Quantifying the light-absorption properties and molecular composition of brown carbon aerosol from sub-Saharan African biomass combustion
<div> <p>Data presented in figures of the peer-reviewed journal article "Quantifying the light-absorption properties and molecular composition of brown carbon aerosol from sub-Saharan African biomass combustion" by Moschos et al.</p> <p>Disclaimer: Please contact the dataset creator prior to inclusion of data in any upcoming publication.</p> </div>
The percentage of above-ground biomass carbon carrying capacity reached
<p>This dataset is the percentage of above-ground biomass carbon carrying capacity reached in the eight provinces of southern China from 2002 to 2017 at the resolution of 500m x 500m, with the urban and water areas, cropland, and the southeast margin of the Tibet Plateau masked. The dataset takes values ranging from 0%-100%. 0% represents the highest carbon sequestration potential, while 100% represents carbon sequestration has reached saturation. The dataset can locate areas where vegetation has not yet reached its full potential, which is significant for the implementation and adjustment of ecological engineering. The dataset is publicly available.</p>
Data set on soil physicochemical parameters, biomass accumulation and carbon credit generation in different management systems in Rio Verde, GO, Brazil
<h1>Description</h1> <p>This repository contains a comprehensive dataset focused on soil organic carbon and its role in mitigating climate change through carbon sequestration on agricultural lands in Rio Verde, GO, Brazil. With the global imperative to reduce anthropogenic CO2 emissions, our data highlights the effectiveness of no-till agricultural practices in both improving soil quality and enhancing carbon storage. This collection represents extensive soil and biomass sampling from five distinct areas within the Cerrado region, utilizing three priority management systems:</p> <p>No-till with soybean and maize in sequence under rainfed conditions. No-till with soybean and maize in sequence with central pivot irrigation. First and second cuts of sugarcane. The samples were meticulously collected post-harvest and used to estimate both soil biomass accumulation and carbon stock indices. A thorough analysis of the soil's physicochemical parameters was conducted for the 0-20 cm soil profile in each area. This dataset not only provides a valuable resource for studying the impact of different no-till practices on carbon sequestration but also serves as a critical input for modeling future contributions of conservation management systems to carbon trading markets.</p> <div> <div> </div> <div> <h2>Data Contents</h2> </div> <p>Soil organic carbon measurements for various no-till systems. Biomass accumulation data post-harvest. Carbon stock indices derived from biomass samples. Detailed physicochemical profiles of soil samples.</p> <div> <h2>Significance</h2> </div> <p>This dataset is pivotal for researchers and policymakers focusing on the potentials of agricultural carbon sequestration and its implications for carbon trading schemes. It offers insights into the current contributions of no-till conservation management systems and aids in the development of future strategies to enhance carbon</p> <h1>Metadata Description and Script</h1> </div> <p>This repository contains two key data files that encapsulate diverse aspects of soil physicochemical parameters, biomass accumulation, and carbon credit generation across different management systems in Rio Verde, GO, Brazil. Below are descriptions of each file's contents and structure.</p> <div> <h2>all.txt</h2> </div> <p>This text file presents aggregated data from various sites under different agricultural management systems. Each row in the dataset represents measurements from distinct sample plots, with the following fields:</p> <ul> <li><code>Sites</code> - Identifier for the plot location.</li> <li><code>SB</code> - Soil bulk density (g/cm³).</li> <li><code>SOC</code> - Soil organic carbon (%).</li> <li><code>Stock</code> - Carbon stock (ton/ha).</li> <li><code>Biomass</code> - Biomass accumulation (ton/ha).</li> <li><code>Credits</code> - Estimated carbon credits (ton CO2 equivalent/ha).</li> </ul> <div> <h2>Quimica.xlsx</h2> </div> <p>This Excel file provides detailed physicochemical analyses of soil samples from different management zones in the study area. The data is structured to support in-depth analysis of soil characteristics influencing carbon sequestration capabilities. Each sheet in the workbook corresponds to a specific area, with columns typically representing:</p> <ul> <li><code>pH</code> - Soil pH, indicating the acidity or alkalinity.</li> <li><code>EC</code> - Electrical conductivity (dS/m).</li> <li><code>Cation Exchange Capacity (CEC):</code> - (meq/100g).</li> <li><code>Organipont c Matter:</code> - (%).</li> <li><code>NPK levels</code> - Concentrations of Nitrogen (N), Phosphorus (P), and Potassium (K).</li> </ul>
Above and below ground biomass and carbon content in the most common farm crops in Latvia
<p>Field measurements based assessment of above and below ground biomass of the most common farm crops in Latvia, including carbon and nitrogen stock and CO2 input into soil with plant residues under the most common management systems. Organic and integrated farmings are separated. Biomass is expressed as total biomass of all plants growing in the area, not only main species. Data for less common species are extrapolated assuming similarity with similar species or using default factors provided by the IPCC guidelines and other literature sources.</p> <p>Data area partially published (references are provided in the description). Uncertainty, which is not included in the public data set, can be provided separately.</p>
MAR2PROTECT Biomass-derived Carbons for the Separation of Fluorinated Gases DATASET
<p>Fluorinated gases (F-gases) are widely used in the refrigeration industry and air conditioning equipment, being used as substitutes for ozone-depleting substances, since these compounds do not damage the atmospheric ozone layer, are non-toxic, and are not flammable. However, F-gases have high global warming potential, up to 23 000 times greater than carbon dioxide, and their atmospheric lifetime is up to 50 000 years. Then, small atmospheric concentrations of these gases can have large effects on global temperatures and on climate change. Hence, different legislations aim to combat their effect on the atmosphere, such as the EU regulation (No 517/2014) that targets to cut the emissions of these gases by 2/3 by 2030, compared to the levels of 2014. The aim of this work is to design, test, and validate climate-friendly processes, based on different Key Enabling Technologies (KETs), to separate and recover F-gases. These KETs are based on more efficient treatment systems, designed according to the principles of green chemistry, for the separation of the F-gases most used in air conditioning, commercial refrigeration, electrical circuit industry, thermal insulators, and electronic semiconductors at European level: R-134a - 1,1,1,2-tetrafluoroethane, R-32 – difluoromethane, R-125 – pentafluoroethane, SF<sub>6</sub> – sulfur hexafluoride ) and nitrogen (N<sub>2</sub>). In this work, the adsorption of these gases was studied on 4 different biocarbons (CC-1:3H<sub>3</sub>PO<sub>4</sub>, CC-1:1H<sub>3</sub>PO<sub>4</sub>, CC-K<sub>2</sub>CO<sub>3</sub> and CC-CO<sub>2</sub>). Then, this work contributes to reduce the environmental impact of these powerful greenhouse gases, answering one of the greatest current concerns of society, the environment, one central goal of EU Research.</p>
Data and analyses for Perkowski et al. (2024) manuscript accepted to AoB Plants: "Symbiotic nitrogen fixation reduces belowground biomass carbon costs of nitrogen acquisition under low, but not high, nitrogen availability"
<p>This repository contains data and scripts for analyses and plots in Perkowski et al. (2024), titled "Symbiotic nitrogen fixation reduces belowground biomass carbon costs of nitrogen acquisition under low, but not high, nitrogen availability".</p> <p>v2.0 updates code and scripts per reviewer comments and is the final release prior to manuscript proofing.</p>
Soil and understory CO2 respiration, CH4, and N2O fluxes, tree biomass and litter, and soil carbon stock after a long-term N fertilization of a Scots pine forest in Finland
<p>Data of forest soil respiration, soil and undestory respiration, CH4, and N2O fluxes, soil temperature and volumetric water content (Data_Karstula_GHG_temp.swc.csv), continuous soil temperature and moisture data (Data_Karstula_measured_temperature_2021_2023.csv, Data_Karstula_measured_moisture_2021_2023.csv), forest biomass and litter (Data_Karstula_total_biomass_litter.csv, Data_Karstula_measured_litter_2021_2023.csv), and soil C stocks (Data_Karstula_soc.csv) from the boreal Scots pine forest site Karstula after a long-term N fertilization in Finland (62°54'43.343"N; 24°34'16.021"E).</p> <p>The dataset is used for the publication "Tupek et al. : <strong>Lower sensitivity of microbial respiration to soil moisture after long-term N fertilization increases soil carbon retention in a Scots pine forest</strong>. 2024".</p>
Dataset for: Intracellular carbon storage by microorganisms is an overlooked pathway of biomass growth
<p>Dataset and code for the publication:</p> <p>Intracellular carbon storage by microorganisms is an overlooked pathway of biomass growth<br> Mason-Jones, K., Breidenbach, A., Dyckmans, J., Banfield, C.C., Dippold, M.A.<br> Nature Communications<br> 2023<br> <br> Article DOI: 10.1038/s41467-023-37713-4</p>
Estimation of biomass combustion carbon emissions data for 2016 in Africa based on GABAM burned area products.
<p>Estimated biomass combustion carbon emissions data for the African region in 2016, based on the GABAM 30m burned area product.The product is geographically (latitude/longitude) projected with a resolution of 0.00025° (approximately 30 meters) using the WGS84 horizontal datum and the EGM96 vertical datum, and consists of 10° x 10° tiles covering the entire African region.</p>
Estimation of biomass combustion carbon emissions data for 2015 in Africa based on GABAM burned area products.
<p>Estimated biomass combustion carbon emissions data for the African region in 2015, based on the GABAM 30m burned area product.The product is geographically (latitude/longitude) projected with a resolution of 0.00025° (approximately 30 meters) using the WGS84 horizontal datum and the EGM96 vertical datum, and consists of 10° x 10° tiles covering the entire African region.</p>
Leaf area, biomass, carbon and nitrogen content by species for harvests taken as part of the ITEX flux survey.
Leaf area, biomass, foliar carbon and nitrogen by species for destructive vegetation harvests. Plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; and at various sites in Adventdalen, Svalbard, in Zackenberg valley, Northeast Greenland, and at BEO near Barrow, Alaska. Harvests were taken during the growing seasons 2003 to 2009.
Percent carbon, percent nitrogen, del13C and del15N of above ground plant and belowground stem biomass samples from experimental plots in moist acidic and moist non-acidic tundra, 2000, Arctic LTER, Toolik Lake, Alaska.
Percent carbon, percent nitrogen, del13C and del15N were measured from above ground plant and belowground stem biomass samples from experimental plots in moist acidic and moist non-acidic tundra. Biomass data are in 2000lgshttbm.dat.
Biomass, nitrogen and carbon of plants in the Arctic LTER experimental wet sedge tundra experimental sites, 2001, Toolik Lake, Alaska.
Biomass, nitrogen and carbon of plants in the Arctic LTER experimental wet sedge tundra experimental sites, 2001, Toolik Lake, Alaska.. Treatments at each site included factorial NxP, greenhouse and shade house and were begun in 1985 (Sag site) or in 1988 (Toolik sites).
Percent carbon and percent nitrogen of above ground plant and belowground stem biomass samples from experimental plots in moist acidic and moist non-acidic tundra, 2001, Arctic LTER, Toolik Lake, Alaska.
Percent carbon and percent nitrogen were measured from above ground plant and belowground stem biomass samples from experimental plots in moist acidic and moist non-acidic tundra. Biomass data are in 2001lgshttbm.dat.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): leaf C, N, delta-13C, delta-15N at peak biomass; 2009-2019
The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes carbon (C) and nitrogen (N) elemental and isotope content in leaves collected from winter warming, summer warming, and control treatment plots at CiPEHR.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (DryPEHR): Peak growing season aboveground biomass 2011-2017.
This drying and warming experiment addresses the following questions: 1) Does ecosystem drying, warming and permafrost thaw cause a net release or uptake of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss? 3) How do drying and warmign affect plant communities and ecosystem properties? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieve using an automated pumping system that lowers the water table in the dry plots. Soil warming began in 2008; OTCs and drying in 2011. Above ground plant biomass was surveyed non-destructively using a point-intercept method for all vascular and moss species at peak growing season.
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OpenNeuro
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