Additional file 1 of Mind the gap: reconciling tropical forest carbon flux estimates from earth observation and national reporting requires transparency
Creators: name: Heinrich, Viola
name: House, Jo
name: Gibbs, David A.
name: Harris, Nancy
name: Herold, Martin
name: Grassi, Giacomo
name: Cantinho, Roberta
name: Rosan, Thais M.
name: Zimbres, Barbara
name: Shimbo, Julia Z.
name: Melo, Joana
name: Hales, Tristram
name: Sitch, Stephen
name: Aragão, Luiz E. O. C.
Publisher: name: figshare
Year: 2024
Subjects: Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified

description: Additional file 1: Figure S1. Comparison of the area of Primary and non-Primaryforest land according to the Global EO (Harris et al. 2021) in the year 2000, for which they used dataset byTurubanova et al. (2018)and the Unmanaged forest land and Managed forest land according to the NGHGI in 1994 and 2002. Figure S2. Percentage contribution of different plantation types to the total plantation area in different biomes of Brazil. Colouring denotes if the plantation is a forest plantation (shades of blue) or a Tree crop plantation (yellow-oranges). Theareas considered for analysis only included those that were also classified as plantation area in the National Greenhouse gas inventory of Brazil in 2016. Figure S3. Bar graphs representing the area contribution of different forest and non-forest cover types that make up the six biomes of Brazil according to three different approachesfor the year 2020. The three approachesare the Global Earth Observation (EO), the National Greenhouse Gas Inventory (NGHGI) and the independent estimate (SEEG). As the NGHGI is only available up to 2016, area numbersfor theNGHGIhave been adjusted by multiplying by the fractional difference in the area of each forest type in 2016 and 2020 according to SEEG (Mapbiomas).Note differences in the Y axis scale. Figure S4. Bar graphs representing theaveragegross removals contribution of different forest types within the six biomes of Brazil according to three different approachesover the period 2001 to 2020.The three approachesare the Global Earth Observation (EO), the National Greenhouse Gas Inventory (NGHGI) and the independent estimate (SEEG). As the NGHGI is only available up to 2016, numbersfor the NGHGI have been adjusted by multiplying by the fractional difference in the removalsof each forest type in 2016 and 2020 according to SEEG.Note differences in the Y axis scale. Table S1. Summary of the key United Nations Framework Convention on Climate Change (UNFCCC) principles as outlined in the 5th Conference of the Parties (COP5) in 1999. Table S2. Modifications made to the NGHGI of Brazil to account for the shorter time-period available. The fractional difference of the average fluxes were calculated for the period 2002 to 2016 (period of the NGHGI) and for 2001 to 2020 (period of the Global EO). Table S3. The total number of pixels per biome which are considered as non-primary forests in the Global Earth Observation dataset and overlap pixels classified as Managed forests (old-growth managed, secondary forest, plantation forest) pixels in the National Greenhouse Gas Inventory (NGHGI) of Brazil. Table S4. The categories of forest-based transitions used within this study and how they are referred to in the National Greenhouse Gas Inventory (NGHGI) of the case study countries Indonesia and Malaysia.