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The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, Danaë M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodríguez-Veiga, et al.
(2021) EARTH SYSTEM SCIENCE DATA. 13(8). p.3927-3950
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Abstract
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1 ha. Using an extensive database of 110 897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high-carbon-stock forests with AGB > 250 Mg ha(-1), where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in the literature (426-571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the Global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps and identified major biases compared to inventory data, up to 120% of the inventory value in dry tropical forests, in the subtropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes and provides a crucial baseline in future carbon stock change estimates.
Keywords
General Earth and Planetary Sciences, cavelab, GROWING STOCK VOLUME, BOREAL FORESTS, CARBON-CYCLE, ALOS PALSAR, UNITED-STATES, MAP, RETRIEVAL, DENSITY, MANAGEMENT, EMISSIONS

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Citation

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MLA
Santoro, Maurizio, et al. “The Global Forest Above-Ground Biomass Pool for 2010 Estimated from High-Resolution Satellite Observations.” EARTH SYSTEM SCIENCE DATA, vol. 13, no. 8, 2021, pp. 3927–50, doi:10.5194/essd-13-3927-2021.
APA
Santoro, M., Cartus, O., Carvalhais, N., Rozendaal, D. M. A., Avitabile, V., Araza, A., … Willcock, S. (2021). The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. EARTH SYSTEM SCIENCE DATA, 13(8), 3927–3950. https://doi.org/10.5194/essd-13-3927-2021
Chicago author-date
Santoro, Maurizio, Oliver Cartus, Nuno Carvalhais, Danaë M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, et al. 2021. “The Global Forest Above-Ground Biomass Pool for 2010 Estimated from High-Resolution Satellite Observations.” EARTH SYSTEM SCIENCE DATA 13 (8): 3927–50. https://doi.org/10.5194/essd-13-3927-2021.
Chicago author-date (all authors)
Santoro, Maurizio, Oliver Cartus, Nuno Carvalhais, Danaë M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodríguez-Veiga, Heiko Balzter, João Carreiras, Dmitry Schepaschenko, Mikhail Korets, Masanobu Shimada, Takuya Itoh, Álvaro Moreno Martínez, Jura Cavlovic, Roberto Cazzolla Gatti, Polyanna da Conceição Bispo, Nasheta Dewnath, Nicolas Labrière, Jingjing Liang, Jeremy Lindsell, Edward T. A. Mitchard, Alexandra Morel, Ana Maria Pacheco Pascagaza, Casey M. Ryan, Ferry Slik, Gaia Vaglio Laurin, Hans Verbeeck, Arief Wijaya, and Simon Willcock. 2021. “The Global Forest Above-Ground Biomass Pool for 2010 Estimated from High-Resolution Satellite Observations.” EARTH SYSTEM SCIENCE DATA 13 (8): 3927–3950. doi:10.5194/essd-13-3927-2021.
Vancouver
1.
Santoro M, Cartus O, Carvalhais N, Rozendaal DMA, Avitabile V, Araza A, et al. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. EARTH SYSTEM SCIENCE DATA. 2021;13(8):3927–50.
IEEE
[1]
M. Santoro et al., “The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations,” EARTH SYSTEM SCIENCE DATA, vol. 13, no. 8, pp. 3927–3950, 2021.
@article{8718217,
  abstract     = {{The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1 ha. Using an extensive database of 110 897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high-carbon-stock forests with AGB > 250 Mg ha(-1), where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in the literature (426-571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the Global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps and identified major biases compared to inventory data, up to 120% of the inventory value in dry tropical forests, in the subtropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes and provides a crucial baseline in future carbon stock change estimates.}},
  author       = {{Santoro, Maurizio and Cartus, Oliver and Carvalhais, Nuno and Rozendaal, Danaë M. A. and Avitabile, Valerio and Araza, Arnan and de Bruin, Sytze and Herold, Martin and Quegan, Shaun and Rodríguez-Veiga, Pedro and Balzter, Heiko and Carreiras, João and Schepaschenko, Dmitry and Korets, Mikhail and Shimada, Masanobu and Itoh, Takuya and Moreno Martínez, Álvaro and Cavlovic, Jura and Cazzolla Gatti, Roberto and da Conceição Bispo, Polyanna and Dewnath, Nasheta and Labrière, Nicolas and Liang, Jingjing and Lindsell, Jeremy and Mitchard, Edward T. A. and Morel, Alexandra and Pacheco Pascagaza, Ana Maria and Ryan, Casey M. and Slik, Ferry and Vaglio Laurin, Gaia and Verbeeck, Hans and Wijaya, Arief and Willcock, Simon}},
  issn         = {{1866-3508}},
  journal      = {{EARTH SYSTEM SCIENCE DATA}},
  keywords     = {{General Earth and Planetary Sciences,cavelab,GROWING STOCK VOLUME,BOREAL FORESTS,CARBON-CYCLE,ALOS PALSAR,UNITED-STATES,MAP,RETRIEVAL,DENSITY,MANAGEMENT,EMISSIONS}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{3927--3950}},
  title        = {{The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations}},
  url          = {{http://doi.org/10.5194/essd-13-3927-2021}},
  volume       = {{13}},
  year         = {{2021}},
}
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