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154 results for “carbon stocks”
NACP: Forest Carbon Stocks, Fluxes and Productivity Estimates, Western USA, 1979-2099
This dataset contains annual estimates of carbon stocks, fluxes, and productivity over forested land in 11 states of the western USA (Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming). The estimates were produced from multiple simulations using the Community Land Model (v4.5) with different climate forcing data and prescribed harvest rates. Business as usual (BAU) scenarios were run to ensure that the simulations represented present-day stand ages. The estimates span two modeled time periods, 1979-2014 and 2015-2099, at 1/24-degree (4 km x 4 km) resolution. Variables included are gross primary production (GPP), net ecosystem exchange (NEE), net ecosystem productivity (NEP), net primary production (NPP), autotrophic respiration (RA), heterotrophic respiration (RH), transpiration factor, aboveground live tree carbon, carbon loss from fire, allocation to stem carbon, and burned area fraction over forested areas of the western USA.
CMS: Forest Carbon Stocks, Emissions, and Net Flux for the Conterminous US: 2005-2010
This data set provides maps of estimated carbon in forests of the 48 continental states of the US for the years 2005-2010. Carbon (termed committed carbon) stocks were estimated for forest aboveground biomass, belowground biomass, standing dead stems, and litter for the year 2005. Carbon emissions were estimated from land use conversion to agriculture, insect damage, logging, wind, and weather events in the forests for the years 2006 - 2010. Committed net carbon flux was estimated as the sum of carbon emissions and sequestration. The maps are provided at 100-m spatial resolution in GeoTIFF format. Average annual carbon estimates, by US county, for (1) emissions for the multiple disturbance sources, (2) sequestration, and (3) the committed net carbon flux are provided in an ESRI shapefile.
Ecosystem Demography Model: U.S. Ecosystem Carbon Stocks and Fluxes, 1700-1990
This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data files for the conterminous United States. The ED is a mechanistic ecosystem model built around established sub-models of leaf level physiology, organic matter decomposition, hydrology, and functional biodiversity. It was used herein to estimate ecosystem carbon stocks and fluxes in the conterminous U.S. at 1.0 degree resolution from 1700 to 1990. Output data of carbon stocks and fluxes are stored in NetCDF format. To produce the U.S. scenario, ED was run from an estimated state of ecosystems in the year 1700 to an estimated state of ecosystems in the year 1990 for each 1 degree by 1 degree grid cell through time using ISLSCP Initiative I climate and soil data and a gridded land-use history reconstruction as inputs (Hurtt et al., 2002). The land-use history was based on several sources including: spatial distribution of potential vegetation in 1700, spatial patterns of cropland from 1700 to 1990, regional estimates of land use and logging from 1700 to 1990, and U.S. Forest Inventory and Analysis (FIA) data on the current age distribution of forest stands. The Miami Land Use History Model (Miami-LU), a far simpler empirically-based ecosystem model, was used to track the history of disturbance, land use, fire, and ecosystem recovery. The effects of fire suppression were also included. Atmospheric CO2 concentrations and climatic conditions were held constant throughout the runs to focus on the consequences of land-use and fire-management changes on carbon stocks and fluxes.
Forest Carbon Stocks and Fluxes from the NFCMS, Conterminous USA, 1990-2010
This dataset, derived from the National Forest Carbon Monitoring System (NFCMS), provides estimates of forest carbon stocks and fluxes in the form of aboveground woody biomass (AGB), total live biomass, total ecosystem carbon, aboveground coarse woody debris (CWD), and net ecosystem productivity (NEP) as a function of the number of years since the most recent disturbance (i.e., stand age) for forests of the conterminous U.S. at a 30 m resolution for the benchmark years 1990, 2000, and 2010. The data were derived from an inventory-constrained version of the Carnegie-Ames-Stanford Approach (CASA) carbon cycle process model that accounts for disturbance processes for each combination of forest type, site productivity, and pre-disturbance biomass. Also provided are the core model data inputs including the year of the most recent disturbance according to the North American Forest Dynamics (NAFD) and the Monitoring Trends in Burn Severity (MTBS) data products; the type of disturbance; biomass estimates from the year 2000 according to the National Biomass and Carbon Dataset (NBCD); forest-type group; a site productivity classification; and the number of years since stand-replacing disturbance. The data are useful for a wide range of applications including monitoring and reporting recent dynamics of forest carbon across the conterminous U.S., assessment of recent trends with attribution to disturbance and regrowth drivers, conservation planning, and assessment of climate change mitigation opportunities within the forest sector.
LBA-ECO ND-04 Secondary Forest Carbon and Nutrient Stocks, Central Amazonia, Brazil
This data set reports the carbon and nutrient stocks of above-ground vegetation and soil pools at three locations where post-pasture secondary forest recovery ranged from 0 to 14 years since abandonment. These sites are located in the state of Amazonas, Brazil, along the road BR-174 north of the city of Manaus within three fazendas (cattle ranches) now in various stages of grazing, pasture abandonment, or pasture reclamation: Fazenda Rodao (km 46), Embrapa-District of SUFRAMA (DAS) pasture research site (km 53) and Fazenda Dimona (km 72). From September 2000 to July 2001, measurements were obtained for aboveground biomass (cite ND-04 Sec For Recovery), foliage and wood samples were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations, and soil samples from 0 to 45 cm depth were collected and analyzed for total nutrient (C, N, P, K, Ca and Mg) concentrations. Total carbon (C) and nutrient stocks were calculated for various vegetation and soil pools to gain an understanding of the dynamics of nutrient and C buildup in regenerating secondary forests in central Amazonia (Feldpausch et al., 2004). There are 2 comma-delimited ASCII data files with this data set.
Spatial distribution of Forest Structure and Carbon Stock in Japan
<p>This repository contains the results for the paper entitled:High-Resolution Mapping of Forest Structure and Carbon Stock using Multi-source Remote Sensing Data in Japan.</p> <p><a href="https://doi.org/10.1016/j.rse.2024.114322">https://doi.org/10.1016/j.rse.2024.114322</a></p> <p>The dataset includes forest height, volume, AGB and carbon density across Japan with a spatial resolution at 10 m.</p> <div> <p>The data is retained in integer format (8 or 16-bit unsigned). For higher precision data, please contact the corresponding author.</p> <p>-------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Projection: EPSG:3857 WGS 84 / Pseudo-Mercator</p> <p>Spatial resolution: 10 m</p> <p>Forest mask: JAXA HRLULC 21.03</p> <p>Traning data: Airborne LiDAR derived forest structures squared plots.</p> <p>Predictors variables: PALSAR-2,Sentinel-2,SRTM</p> <p>-------------------------------------------------------------------------------------------------------------------------------------------------------</p> </div>
Organic carbon content and estimated organic carbon stocks for Northern Irish Marine Sediments
<p>Northern Ireland is a constituent region of the United Kingdom, consisting of 14,330 square kilometers of land in the north east of the island of Ireland. Northern Ireland's devolved administration has repsonsibility for 6000 square kilometers of shelf seas, encompassing the north western portion of the Irish Sea, the North Channel and part of the Malin Sea. There is growing interest in the capacity of marine sediments to sequester and store carbon, as a potential natural feedback against climate change. Between 2021 and 2024, the Northern Ireland Department of Agriculture, the Environment and Rural Affairs provided funding to AFBI NI to support the initial quantification and mapping of sediment carbon content in Northern Ireland's Marine Sediments. Here we present a consolidated dataset of sediment organic carbon content and estimates of areal seabed carbon stocks (for the upper 10cm of sediment) across the Northern Irish portion of the UK's territorial seas. The dataset includes sediment carbon data from recent oceanographic surveys, alongside historical datasets from AFBI's internal data archive. The data are supported by metadata including location (Latitude and Longitude), bathymetric depth, seabed type (percentage mud, sand and gravel), year of collection, sampling metier and information on the data source.</p>
Data from: Sensitivity of global soil carbon stocks to combined nutrient enrichment
Soil stores approximately twice as much carbon as the atmosphere and fluctuations in the size of the soil carbon pool directly influence climate conditions. We used the Nutrient Network global change experiment to examine how anthropogenic nutrient enrichment might influence grassland soil carbon storage at a global scale. In isolation, enrichment of nitrogen and phosphorous had minimal impacts on soil carbon storage. However, when these nutrients were added in combination with potassium and micronutrients, soil carbon stocks changed considerably, with an average increase of 0.04 KgCm−2 year−1 (standard deviation 0.18 KgCm−2 year−1). These effects did not correlate with changes in primary productivity, suggesting that soil carbon decomposition may have been restricted. Although nutrient enrichment caused soil carbon gains most dry, sandy regions, considerable absolute losses of soil carbon may occur in high‐latitude regions that store the majority of the world's soil carbon. These mechanistic insights into the sensitivity of grassland carbon stocks to nutrient enrichment can facilitate biochemical modelling efforts to project carbon cycling under future climate scenarios.
Data from: Sensitivity of global soil carbon stocks to combined nutrient enrichment
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Carbon stocks and drivers in China's bamboo forests: a nationwide field survey
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Data for "Functional substitutability of native herbivores by livestock for soil carbon stock is mediated by microbial decomposers"
<p>Data for "Functional substitutability of native herbivores by livestock for soil carbon stock is mediated by microbial decomposers". </p> <p>Contains one csv file with data on multiple variables. </p>
Carbon and nitrogen stocks and distributions associated with different vegetation covers and soil profile types in Abisko, northern Sweden.
<p>Dataset used to compute carbon and nitrogen stocks in the vegetation and the soil of various arctic habitats near Abisko Research Station, northern Sweden. The dataset contains vegetation inventories and soil measurements on 45 quadrats, a birch tree inventory and C and N contents of soils and dominant species.</p>
Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their bioregional environmental drivers
<p>Soils in terrestrial and coastal blue carbon ecosystems are an important carbon sink. National carbon inventories require accurate assessments of soil carbon in these ecosystems to aid conservation and nature-based climate change mitigation strategies. Here we harmonise measurements from Australia’s terrestrial and blue carbon ecosystems and apply a multiscale spatial machine learning model to estimate soil carbon stocks and drivers of variation. We find that climate and vegetation are the primary drivers of variation at the continental scale, with ecosystem type, terrain, clay content, mineralogy and nutrients drive subregional variations. We estimate that in the top 0–30cm soil layer, terrestrial ecosystems hold 27.6 Gt C (19.6–39.0 Gt C), and blue carbon ecosystems hold 0.35 GtC (0.20–0.62 GtC). Tall open eucalypt and mangrove forests have the largest soil carbon content by area, while eucalypt woodlands and hummock grasslands have the largest total carbon stock due to their large area. Our findings suggest these are important ecosystems for conservation and nature-based mitigation climate change strategies.</p>
Soil Carbon Stock Change Due to Afforestation in Japan by Paired-Sampling Method in an Equivalent Mass Basis
<p>The data set for the paper submitted to Global Biogeochemical Cycles.</p>
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Allen Brain Atlas
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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.