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Poulter, Benjamin; Aragão, Luiz; Andela, Niels; Bellassen, Valentin; Ciais, Philippe; Kato, Tomomichi; Lin, Xin; Nachin, Baatarbileg; Luyssaert, Sebastiaan; Pederson, Niel; Peylin, Philippe; Piao, Shilong; Pugh, Tom; Saatchi, Sassan; Schepaschenko, Dmitry; Schelhaas, Martjan; Shivdenko, Anatoly (2019): The global forest age dataset and its uncertainties (GFADv1.1) [dataset]. NASA National Aeronautics and Space Administration, PANGAEA, https://doi.org/10.1594/PANGAEA.897392

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Abstract:
The global forest age dataset (GFAD v.1.1) provides a correction to GFAD v1.0, as well as its uncertainties.
GFAD describes the age distributions of plant functional types (PFT) on a 0.5-degree grid. Each grid cell contains information on the fraction of each PFT within an age class. The four PFTs, needleaf evergreen (NEEV), needleleaf deciduous (NEDE), broadleaf evergreen (BREV) and broadleaf deciduous (BRDC) are mapped from the MODIS Collection 5.1 land cover dataset, crosswalking land cover types to PFT fractions. The source of data for the age distributions is from country-level forest inventory for temperate and high-latitude countries, and from biomass for tropical countries. The inventory and biomass data are related to fifteen age classes defined in ten-year intervals, from 1-10 up to a class greater than 150 years old.
The uncertainties are estimated for the inventory derived forest age classes as +/- 40% of the mean age. For the areas where age is derived from aboveground biomass, the uncertainty is derived from the 5th and 95th percentile estimates of biomass, but using the same age-aboveground biomass curves.
The GFAD dataset represents the 2000-2010 era.
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Poulter, Benjamin; Aragão, Luiz; Andela, Niels; Bellassen, Valentin; Ciais, Philippe; Kato, Tomomichi; Lin, Xin; Nachin, Baatarbileg; Luyssaert, Sebastiaan; Pederson, Niel; Peylin, Philippe; Piao, Shilong; Saatchi, Sassan; Schepaschenko, Dmitry; Schelhaas, Martjan; Shivdenko, Anatoly (2018): The global forest age dataset (GFADv1.0), link to NetCDF file [dataset]. NASA National Aeronautics and Space Administration, PANGAEA, https://doi.org/10.1594/PANGAEA.889943
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