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Harmonized global maps of above and belowground biomass carbon density in the year 2010.
Spawn, Seth A; Sullivan, Clare C; Lark, Tyler J; Gibbs, Holly K.
Afiliación
  • Spawn SA; Department of Geography, University of Wisconsin-Madison, Madison, WI, USA. spawn@wisc.edu.
  • Sullivan CC; Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI, USA. spawn@wisc.edu.
  • Lark TJ; Department of Geography, University of Wisconsin-Madison, Madison, WI, USA.
  • Gibbs HK; Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, University of Wisconsin-Madison, Madison, WI, USA.
Sci Data ; 7(1): 112, 2020 04 06.
Article en En | MEDLINE | ID: mdl-32249772
Remotely sensed biomass carbon density maps are widely used for myriad scientific and policy applications, but all remain limited in scope. They often only represent a single vegetation type and rarely account for carbon stocks in belowground biomass. To date, no global product integrates these disparate estimates into an all-encompassing map at a scale appropriate for many modelling or decision-making applications. We developed an approach for harmonizing vegetation-specific maps of both above and belowground biomass into a single, comprehensive representation of each. We overlaid input maps and allocated their estimates in proportion to the relative spatial extent of each vegetation type using ancillary maps of percent tree cover and landcover, and a rule-based decision schema. The resulting maps consistently and seamlessly report biomass carbon density estimates across a wide range of vegetation types in 2010 with quantified uncertainty. They do so for the globe at an unprecedented 300-meter spatial resolution and can be used to more holistically account for diverse vegetation carbon stocks in global analyses and greenhouse gas inventories.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbono / Biomasa Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbono / Biomasa Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido