Above and below ground biomass carbon (tonnes/ha)

Name: Above and below ground biomass carbon (tonnes/ha)
Creator: UN Environment World Conservation Monitoring Centre
License: 暂无描述

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This dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. This layer supports analysis but, if needed, a direct download of the data can be accessed <a href='https://datadownload-production.s3.amazonaws.com/WCMC_carbon_tonnes_per_ha.zip' rel='nofollow ugc' target='_blank'>here</a>. The dataset was constructed by combining the most reliable publicly available datasets and overlying them with the ESA CCI landcover map for the year 2010 [ESA, 2017], assigning to each grid cell the corresponding above-ground biomass value from the biomass map that was most appropriate for the grid cell’s landcover type. Input carbon datasets were identified through a literature review of existing datasets on biomass carbon in terrestrial ecosystems published in peer-reviewed literature. To determine which datasets to combine to produce the global carbon density map, identified datasets were evaluated based on resolution, accuracy, biomass definition and reference date (see table 1 for further information on datasets selected). <table border='1' cellpadding='0' cellspacing='0' style='border-collapse:collapse; border:none;'> <tbody><tr> <td style='width:84.65pt; border:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='113'> Dataset </td> <td style='width:34.4pt; border:solid windowtext 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='46'> Scope </td> <td style='width:55.4pt; border:solid windowtext 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='74'> Year </td> <td style='width:50.9pt; border:solid windowtext 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='68'> Resolution </td> <td style='width:143.5pt; border:solid windowtext 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='191'> Definition </td> </tr> <tr> <td style='width:84.65pt; border:solid windowtext 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt;' width='113'> Santoro et al. 2018 </td> <td style='width:34.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='46'> Global </td> <td style='width:55.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='74'> 2010 </td> <td style='width:50.9pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='68'> 100 m </td> <td style='width:143.5pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='191'> Above-ground woody biomass for trees that are >10 cm diameter-at-breast-height, masked to Landsat-derived canopy cover for 2010; biomass is expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. </td> </tr> <tr> <td style='width:84.65pt; border:solid windowtext 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt;' width='113'> Xia et al. 2014 </td> <td style='width:34.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='46'> Global </td> <td style='width:55.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='74'> 1982-2006 </td> <td style='width:50.9pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='68'> 8 km </td> <td style='width:143.5pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='191'> Above-ground grassland biomass. </td> </tr> <tr> <td style='width:84.65pt; border:solid windowtext 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt;' width='113'> Bouvet et al. 2018 </td> <td style='width:34.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='46'> Africa </td> <td style='width:55.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='74'> 2010 </td> <td style='width:50.9pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='68'> 25 m </td> <td style='width:143.5pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='191'> Above-ground woodland and savannah biomass; low woody biomass areas, which therefore exclude dense forests and deserts. </td> </tr> <tr> <td style='width:84.65pt; border:solid windowtext 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt;' width='113'> Spawn et al. 2017 </td> <td style='width:34.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='46'> Global </td> <td style='width:55.4pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='74'> 2010 </td> <td style='width:50.9pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' width='68'> 300 m </td> <td style='width:143.5pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0cm 5.4pt 0cm 5.4pt;' valign='top' width='191'> Synthetic, global above- and below-ground biomass maps that combine recently released satellite-based data of standing forest biomass with novel estimates for non-forest biomass stocks. </td> </tr> </tbody></table> After aggregating each selected dataset to a nominal scale of 300 m resolution, forest categories in the CCI ESA 2010 landcover dataset were used to extract above-ground biomass from Santoro et al. 2018 for forest areas. Woodland and savanna biomass were then incorporated for Africa from Bouvet et al. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside of forest. Biomass from croplands, sparse vegetation and grassland landcover classes from CCI ESA, in addition to shrubland areas outside Africa missing from Santoro et al. 2018, were extracted from were extracted from Xia et al. 2014. and Spawn et al. 2017 averaged by ecological zone for each landcover type. Below-ground biomass were added using root-to-shoot ratios from the 2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No below-ground values were assigned to croplands as ratios were unavailable. Above- and below-ground biomass were then summed together and multiplied by 0.5 to convert to carbon, generating a single above-and-below-ground biomass carbon layer. This dataset has not been validated.

提供机构：

UN Environment World Conservation Monitoring Centre