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42 results for “Aboveground Carbon”
Plant aboveground biomass carbon and nitrogen: Legume Competition Garden
This experiment was established on top of subplots 24, 25 and 26 of E055 (1.2m X 1.2m plots). Sheet metal was installed to divide the subplots into 4 equal parts (subplots are 1.2m x 1.2m, sub-subplots are .6m x .6m). The resulting 12 sub-subplots (4/subplot = 12/plot) were planted according to the following treatments: 1. LC seed on top of established SS 2. AC seed on top of established SS 3. no seed added to established SS 4. PP seed on top of established SS 5. AC seed vs SS seed 6. LC seed vs SS seed 7. PP seed vs SS seed 8. LC seed vs AC seed vs PP seed vs SS seed 9. AC seed 10. LC seed 11. Bare ground (no seeds added) 12. PP seed Where LC=Lespedeza capitata, AC=Amorpha canescens, PP=Petalostemum purpureum, and SS=Schizachyrium scoparium. Equal amounts of MgSO4, CaCO3, P2O5 and K2O are added to the plots each year in early May and Late June. For further information, see fertilization details.
Plant aboveground biomass carbon and nitrogen: Multiple Traits of Multiple Plant Species Measured in Monoculture Gardens
These gardens were started in order to establish monocultures of several species of native prairie plants common to Cedar Creek.
Plant aboveground biomass carbon and nitrogen: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
Plant aboveground biomass carbon and nitrogen: The Small Biodiversity Experiment
Biodiversity I (E123), also called the ?small biodiversity experiment,? was designed to determine how the number of species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year that result can be examined. Also, the effects of number of species on carbon and nitrogen in the soil and on the ability of other species to invade can be studied. The experiment contains 147 3 x 3m plots that were randomly allocated 1, 2, 4, 6, 8, 12 or 24 plant species. The particular species in a plot were randomly selected from a set of 24 prairie-grassland species which included seven warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, nine non-legume forbs. Each level of number of species has 20 to 24 replicates. In this experiment not all of the species are in monocultures. The study was established in 1994 by lead investigators David Tilman, David Wedin, Peter Reich, and Johannes Knops. Experiment 123 is similar to Experiment 120, but it uses smaller plots and did not categorize by type of plant species prior to randomizing species to plots. This size of plot in Experiment 123 means that the soils are relatively more homogeneous and the desired number of species can be more easily maintained by frequent hand weeding than with larger plots. However, the small size of plots limits sampling and the nesting of other studies within the plots.
Plant aboveground biomass carbon and nitrogen: Long-Term Nitrogen Deposition: Population, Community, and Ecosystem Consequences
The purpose of this experiment is to measure how adding nitrogen over a long time will affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. The experiment is being conducted within fields (A, B, C, and D) which were initially low in soil nutrients. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. There are 6 replicates of the 9 treatments in fields A, B, and C and 5 replicates in field D. The treatments were randomly assigned to the plots. In fields A, B, and C the plots are in 6 by 9 grids and are 4 by 4 meters in size with 1 meter aisles between plots. In field D the plots are 1.5 by 4 meters and are placed in a 3 by 17 grid. The plots are enclosed by a fence to keep out mammalian herbivores. Gophers are trapped and removed as they appear. Nitrogenfertilizer (NH4NO3) is applied twice per year, once in early May and once in late June. This experiment was begun in 1982 by David Tilman.
Plant aboveground biomass carbon and nitrogen: Herbivory by Nitrogen Interactive Effects on Community and Ecosystem Processes and Dynamics
E172 is an herbivory experiment established by Dave Tilman in fall 2004 by enclosing in deer fences three randomly selected plots from the six replicates of each control and each treatment in the N addition E001 experiment in field C. These plots still receive the nutrient treatments prescribed in the Experiment 001 protocols. From 1982-2004 a fence containing all of e001 plots in Field C was designed to exclude deer and all small mammals, including mice, voles and pocket gophers. This fence was removed in Fall of 2004 and individual plots designated for e172 were enclosed in deer fences. The purpose of E001 was to measure how adding nitrogen over a long time would affect the number of species, the type of species present, the amount of annual growth, and the change from year to year in the growth of each species in a plant community which is also relieved of grazing by large and small mammals. There are 8 different levels of nitrogen addition with other nutrients added to ensure that nitrogen remains the limiting nutrient, and a control which receives no nutrients. The plots are in a 6 by 9 grid and are 4 by 4 meters in size with 1 meter aisles between plots. Nitrogen fertilizer (NH4NO3) is applied twice per year, once in early May and once in late June.
Plant aboveground biomass carbon and nitrogen:Effects of Long Term Fertilization and Oak Canopy Cover on Plant Communities and Ecosystem Processes
In 1996 E142 was established in field D on top of the E004 macroplots. E004 was conducted in fields A, B, C and D by Dave Tilman. The purpose of E004 was to see what effect NH4NO3 addition has on large areas over a longer period of time with exposure to naturally-occurring levels of herbivory. The nutrient addition treatments in E004, E142 plots have been applied annually since 1982. These experiments, along with others at Cedar Creek, examine the community and ecosystem consequences of chronic nutrient loading.
Aboveground carbon stocks and dynamics in Andean forests
<p>This dataset (Andean_AGB.xlsx) has the data employed in the paper entitled <i>Old-growth Andean forests as globally important carbon sinks and future carbon refuges</i>. The data was compiled as the results of the work of several research teams spread out across the Andean region. The information available here has data about aboveground carbon stocks and dynamics and the main explanatory variables, such as climate and symbiotic root associations.</p>
Data from : Quantifying the Effect Size of Management Actions on Aboveground Carbon Stocks in Forest Plantations
<p>These data were extracted from publications listed in the supplemental data associated with the manuscript. The data include information on the aboveground carbon biomass of individual tree crops in pure versus interplanted stands, the aboveground biomass stocks of NPK fertilized versus unfertilized forest plantations, and the aboveground carbon stocks of thinned versus unthinned forest plantations. Additionally, the data contains other attributes of the studies that were used as moderator variables in the meta-analysis. For further details on how missing standard deviations were imputed, please refer to the methods section of the manuscript.</p>
Data from: Tree species diversity promotes aboveground carbon storage through functional diversity and functional dominance
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Aboveground carbon stocks and dynamics in Andean forests
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Data from: Stand structural diversity rather than species diversity enhances aboveground carbon storage in secondary subtropical forests in Eastern China
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Plant aboveground biomass carbon and nitrogen:Effect of Fire Frequency on Grassland Vegetation and Soils
The purpose of this experiment, begun in 1983 by Johannes Knops, is to determine what effect different fire frequencies have on grassland vegetation. This experiment is being conducted in field B. There are 4 different burn treatments: 1. plots burned every year 2. plots burned every other year 3. controls which are not burned 4. plots burned every fourth year There are 6 replicates of each treatment which were randomly assigned to the 24 plots. Plots are 8 by 8 meters and are placed in a 3 by 8 grid with 2 meter walkways. Plots are marked with colored rebar at each corner.
Aboveground plant tissue carbon and nitrogen:Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments
This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.
Data from: Urban warming reduces aboveground carbon storage
A substantial amount of global carbon is stored in mature trees. However, no experiments to date test how warming affects mature tree carbon storage. Using a unique, citywide, factorial experiment, we investigated how warming and insect herbivory affected physiological function and carbon sequestration (carbon stored per year) of mature trees. Urban warming increased herbivorous arthropod abundance on trees, but these herbivores had negligible effects on tree carbon sequestration. Instead, urban warming was associated with an estimated 12% loss of carbon sequestration, in part because photosynthesis was reduced at hotter sites. Ecosystem service assessments that do not consider urban conditions may overestimate urban tree carbon storage. Because urban and global warming are becoming more intense, our results suggest that urban trees will sequester even less carbon in the future.
Data from: Urban warming reduces aboveground carbon storage
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Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010
This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree cover and landcover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.
Global Forest Aboveground Carbon Stocks and Fluxes from GEDI and ICESat-2, 2018-2021
This dataset provides global gridded estimates of forest aboveground carbon stocks and potential fluxes at a 0.01-degree resolution. It was derived by initializing a newly developed global Ecosystem Demography model (ED v3.0) with novel remote sensing observations of tree canopy height collected by GEDI and ICESat-2, two NASA spaceborne lidar missions. A total of 3.77 billion lidar samples were used to generate gridded canopy height histograms that were then linked to ED simulations of canopy height and carbon dynamics during ecosystem succession. This process constrained representation of contemporary forest conditions and associated carbon stocks and fluxes in the model. Inputs that drove these simulations included meteorology, carbon dioxide levels, and soil properties. The data are provided in cloud-optimized GeoTIFF format.
Forest Aboveground Biomass and Carbon Sequestration Potential, Northeastern USA
This dataset provides 90 m estimates of forest aboveground biomass (Mg/ha) for nominal 2011 and projections of carbon sequestration potential for 11 states in the Regional Greenhouse Gas Initiative (RGGI) domain. The RGGI is a cooperative, market-based effort among States in the eastern United States. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model. The ED Model integrates several key data including climate variables from Daymet and MERRA2 products; physical soil and hydraulic properties from Probabilistic Remapping of SSURGO (POLARIS) and CONUS-SOIL; land cover characteristics from airborne lidar, the National Agriculture Imagery Program (NAIP), and the National Land Cover Database (NLCD); and vegetation parameters from the Forest Inventory and Analysis (FIA) Program.
Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA.
This dataset provides 90-m resolution maps of estimated forest aboveground biomass (Mg/ha) for nominal year 2011 and projections of carbon sequestration potential for the state of Maryland. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model, which integrates data from multiple sources, including: climate variables from the North American Regional Reanalysis (NARR) Product, soil variables from the Soil Survey Geographic Database (SSURGO), land cover variables from airborne lidar, the National Agriculture Imagery Program (NAIP) and the National Land Cover Database (NLCD), and vegetation parameters from the Forest Inventory and Analysis (FIA) Program.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.