N: 50.366 S: 23.1873 E: -65.7307 W: -127.686
Description
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.
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
|---|---|---|---|
| Integrating remote sensing data with watershed-scale ecohydrological |
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| Evaluating SWAT-3PG simulation of hydrologic and water quality processes |
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| Mapping forest-based natural climate solutions |
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| Carbon, climate, and natural disturbance: a review of mechanisms |
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| Federal lands greenhouse gas emissions and sequestration in the united statesestimates for 200522 |
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| Predictive Analysis of Biomass with Green Mobile Cloud Computing for Environment Sustainability |
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| Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote ... |
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| Beyond biomass to carbon fluxes: application and evaluation of a comprehensive forest carbon monitoring system |
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