Harmonized global maps of above and belowground biomass carbon density in the year 2010 ...

• Main Authors: Spawn, Seth A, Sullivan, Clare C, Lark, Tyler J, Gibbs, Holly
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2020
• Subjects: Agricultural Spatial Analysis and Modelling; Agroforestry; Agriculture, Land and Farm Management not elsewhere classified; Agro-ecosystem Function and Prediction; Crop and Pasture Biomass and Bioproducts; Biogeography and Phylogeography; Ecology not elsewhere classified; Global Change Biology; Terrestrial Ecology; Land Use and Environmental Planning; Carbon Sequestration Science; Climate Change Processes; Climate Science; Conservation and Biodiversity; FOS Biological sciences; Earth Sciences not elsewhere classified; Ecological Applications not elsewhere classified; Ecological Impacts of Climate Change; Ecology; Ecosystem Function; Environmental Impact Assessment; Environmental Monitoring; Environmental Science; Environmental Science and Management not elsewhere classified; Environmental Sciences not elsewhere classified; Landscape Ecology; Physical Geography; Physical Geography and Environmental Geoscience not elsewhere classified; Environment and Resource Economics; Geography; Environment Policy; Environmental Politics; Tundra
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.4561940; https://springernature.figshare.com/collections/Harmonized_global_maps_of_above_and_belowground_biomass_carbon_density_in_the_year_2010/4561940

This dataset comprises the derived, vegetation-specific component layers used to create the temporally consistent, harmonized global maps of above and belowground biomass carbon density and associated uncertainty of Spawn et al. (2020). The density estimates of each layer represent the contribution of the respective vegetation type to a given grid cell’s total biomass carbon density. As such, the total above and belowground biomass carbon density layers of Spawn et al. (2020) can be produced by taking the pixelwise sum of the respective tree, grass, crop, and tundra layers. Likewise, the Spawn et al. (2020) uncertainty layer can be produced by taking the root sum of the squared vegetation-specific uncertainty layers. All layers represent conditions in the year 2010. The total C maps of Spawn et al. (2020) can be accessed at the following from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics (https://doi.org/10.3334/ORNLDAAC/1763). These maps are a synthesis of ...