Past decade above-ground biomass change comparisons from four multi-temporal global maps
Above-ground biomass (AGB) is considered an essential climate variable that underpins our knowledge and information about the role of forests in mitigating climate change. The availability of satellite-based AGB and AGB change (AGB) products has increased in recent years. Here we assessed the past d...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130163 |
| _version_ | 1855532336727195648 |
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| author | Araza, Arnan Herold, Martin Bruin, Sytze de Ciais, Philippe Gibbs, David A. Harris, Nancy Santoro, Maurizio Wigneron, Jean-Pierre Yang, Hui Málaga, Natalia Nesha, Karimon Rodríguez Veiga, Pedro Brovkina, Olga Brown, Hugh C. A. Chanev, Milen Dimitrov, Zlatomir Filchev, Lachezar Fridman, Jonas García, Mariano Gikov, Alexander Govaere, Leen Dimitrov, Petar Moradi, Fardin Esquivel Muelbert, Adriane Novotný, Jan Pugh, Thomas A. M. Schelhaas, Mart-Jan Schepaschenko, Dmitry Stereńczak, Krzysztof Hein, Lars |
| author_browse | Araza, Arnan Brovkina, Olga Brown, Hugh C. A. Bruin, Sytze de Chanev, Milen Ciais, Philippe Dimitrov, Petar Dimitrov, Zlatomir Esquivel Muelbert, Adriane Filchev, Lachezar Fridman, Jonas García, Mariano Gibbs, David A. Gikov, Alexander Govaere, Leen Harris, Nancy Hein, Lars Herold, Martin Moradi, Fardin Málaga, Natalia Nesha, Karimon Novotný, Jan Pugh, Thomas A. M. Rodríguez Veiga, Pedro Santoro, Maurizio Schelhaas, Mart-Jan Schepaschenko, Dmitry Stereńczak, Krzysztof Wigneron, Jean-Pierre Yang, Hui |
| author_facet | Araza, Arnan Herold, Martin Bruin, Sytze de Ciais, Philippe Gibbs, David A. Harris, Nancy Santoro, Maurizio Wigneron, Jean-Pierre Yang, Hui Málaga, Natalia Nesha, Karimon Rodríguez Veiga, Pedro Brovkina, Olga Brown, Hugh C. A. Chanev, Milen Dimitrov, Zlatomir Filchev, Lachezar Fridman, Jonas García, Mariano Gikov, Alexander Govaere, Leen Dimitrov, Petar Moradi, Fardin Esquivel Muelbert, Adriane Novotný, Jan Pugh, Thomas A. M. Schelhaas, Mart-Jan Schepaschenko, Dmitry Stereńczak, Krzysztof Hein, Lars |
| author_sort | Araza, Arnan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Above-ground biomass (AGB) is considered an essential climate variable that underpins our knowledge and information about the role of forests in mitigating climate change. The availability of satellite-based AGB and AGB change (AGB) products has increased in recent years. Here we assessed the past decade net AGB derived from four recent global multi-date AGB maps: ESA-CCI maps, WRI-Flux model, JPL time series, and SMOS-LVOD time series. Our assessments explore and use different reference data sources with biomass re-measurements within the past decade. The reference data comprise National Forest Inventory (NFI) plot data, local AGB maps from airborne LiDAR, and selected Forest Resource Assessment country data from countries with well-developed monitoring capacities. Map to reference data comparisons were performed at levels ranging from 100 m to 25 km spatial scale. The comparisons revealed that LiDAR data compared most reasonably with the maps, while the comparisons using NFI only showed some agreements at aggregation levels 10 km. Regardless of the aggregation level, AGB losses and gains according to the map comparisons were consistently smaller than the reference data. Map-map comparisons at 25 km highlighted that the maps consistently captured AGB losses in known deforestation hotspots. The comparisons also identified several carbon sink regions consistently detected by all maps. However, disagreement between maps is still large in key forest regions such as the Amazon basin. The overall AGB map cross-correlation between maps varied in the range 0.11–0.29 (r). Reported AGB magnitudes were largest in the high-resolution datasets including the CCI map differencing (stock change) and Flux model (gain-loss) methods, while they were smallest according to the coarser-resolution LVOD and JPL time series products, especially for AGB gains. Our results suggest that AGB assessed from current maps can be biased and any use of the estimates should take that into account. Currently, AGB reference data are sparse especially in the tropics but that deficit can be alleviated by upcoming LiDAR data networks in the context of Supersites and GEO-Trees. |
| format | Journal Article |
| id | CGSpace130163 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1301632025-12-08T09:54:28Z Past decade above-ground biomass change comparisons from four multi-temporal global maps Araza, Arnan Herold, Martin Bruin, Sytze de Ciais, Philippe Gibbs, David A. Harris, Nancy Santoro, Maurizio Wigneron, Jean-Pierre Yang, Hui Málaga, Natalia Nesha, Karimon Rodríguez Veiga, Pedro Brovkina, Olga Brown, Hugh C. A. Chanev, Milen Dimitrov, Zlatomir Filchev, Lachezar Fridman, Jonas García, Mariano Gikov, Alexander Govaere, Leen Dimitrov, Petar Moradi, Fardin Esquivel Muelbert, Adriane Novotný, Jan Pugh, Thomas A. M. Schelhaas, Mart-Jan Schepaschenko, Dmitry Stereńczak, Krzysztof Hein, Lars biomass maps data spatial data carbon cycle earth observation satellites Above-ground biomass (AGB) is considered an essential climate variable that underpins our knowledge and information about the role of forests in mitigating climate change. The availability of satellite-based AGB and AGB change (AGB) products has increased in recent years. Here we assessed the past decade net AGB derived from four recent global multi-date AGB maps: ESA-CCI maps, WRI-Flux model, JPL time series, and SMOS-LVOD time series. Our assessments explore and use different reference data sources with biomass re-measurements within the past decade. The reference data comprise National Forest Inventory (NFI) plot data, local AGB maps from airborne LiDAR, and selected Forest Resource Assessment country data from countries with well-developed monitoring capacities. Map to reference data comparisons were performed at levels ranging from 100 m to 25 km spatial scale. The comparisons revealed that LiDAR data compared most reasonably with the maps, while the comparisons using NFI only showed some agreements at aggregation levels 10 km. Regardless of the aggregation level, AGB losses and gains according to the map comparisons were consistently smaller than the reference data. Map-map comparisons at 25 km highlighted that the maps consistently captured AGB losses in known deforestation hotspots. The comparisons also identified several carbon sink regions consistently detected by all maps. However, disagreement between maps is still large in key forest regions such as the Amazon basin. The overall AGB map cross-correlation between maps varied in the range 0.11–0.29 (r). Reported AGB magnitudes were largest in the high-resolution datasets including the CCI map differencing (stock change) and Flux model (gain-loss) methods, while they were smallest according to the coarser-resolution LVOD and JPL time series products, especially for AGB gains. Our results suggest that AGB assessed from current maps can be biased and any use of the estimates should take that into account. Currently, AGB reference data are sparse especially in the tropics but that deficit can be alleviated by upcoming LiDAR data networks in the context of Supersites and GEO-Trees. 2023-04 2023-04-26T19:36:18Z 2023-04-26T19:36:18Z Journal Article https://hdl.handle.net/10568/130163 en Open Access Elsevier Araza, A. et al. 2023. Past decade above-ground biomass change comparisons from four multi-temporal global maps. International Journal of Applied Earth Observation and Geoinformation 118(April 2023): 103274. https://doi.org/10.1016/j.jag.2023.103274 |
| spellingShingle | biomass maps data spatial data carbon cycle earth observation satellites Araza, Arnan Herold, Martin Bruin, Sytze de Ciais, Philippe Gibbs, David A. Harris, Nancy Santoro, Maurizio Wigneron, Jean-Pierre Yang, Hui Málaga, Natalia Nesha, Karimon Rodríguez Veiga, Pedro Brovkina, Olga Brown, Hugh C. A. Chanev, Milen Dimitrov, Zlatomir Filchev, Lachezar Fridman, Jonas García, Mariano Gikov, Alexander Govaere, Leen Dimitrov, Petar Moradi, Fardin Esquivel Muelbert, Adriane Novotný, Jan Pugh, Thomas A. M. Schelhaas, Mart-Jan Schepaschenko, Dmitry Stereńczak, Krzysztof Hein, Lars Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title | Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title_full | Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title_fullStr | Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title_full_unstemmed | Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title_short | Past decade above-ground biomass change comparisons from four multi-temporal global maps |
| title_sort | past decade above ground biomass change comparisons from four multi temporal global maps |
| topic | biomass maps data spatial data carbon cycle earth observation satellites |
| url | https://hdl.handle.net/10568/130163 |
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