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Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations
- Source :
- Biogeosciences, Biogeosciences, European Geosciences Union, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences 14 (2017) 22, Biogeosciences, Vol 14, Pp 5053-5067 (2017), Biogeosciences, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences, 14(22), 5053-5067, Biogeosciences, 14 (22), 5053-5067
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- The use of dynamic global vegetation models (DGVMs) to estimate CO2 emissions from land-use and land-cover change (LULCC) offers a new window to account for spatial and temporal details of emissions and for ecosystem processes affected by LULCC. One drawback of LULCC emissions from DGVMs, however, is lack of observation constraint. Here, we propose a new method of using satellite- and inventory-based biomass observations to constrain historical cumulative LULCC emissions (ELUCc) from an ensemble of nine DGVMs based on emerging relationships between simulated vegetation biomass and ELUCc. This method is applicable on the global and regional scale. The original DGVM estimates of ELUCc range from 94 to 273 PgC during 1901–2012. After constraining by current biomass observations, we derive a best estimate of 155 ± 50 PgC (1σ Gaussian error). The constrained LULCC emissions are higher than prior DGVM values in tropical regions but significantly lower in North America. Our emergent constraint approach independently verifies the median model estimate by biomass observations, giving support to the use of this estimate in carbon budget assessments. The uncertainty in the constrained ELUCc is still relatively large because of the uncertainty in the biomass observations, and thus reduced uncertainty in addition to increased accuracy in biomass observations in the future will help improve the constraint. This constraint method can also be applied to evaluate the impact of land-based mitigation activities.
- Subjects :
- 0106 biological sciences
Meteorology
010504 meteorology & atmospheric sciences
lcsh:Life
Land cover
Atmospheric sciences
010603 evolutionary biology
01 natural sciences
7. Clean energy
Laboratory of Geo-information Science and Remote Sensing
lcsh:QH540-549.5
ddc:550
Range (statistics)
Life Science
Laboratorium voor Geo-informatiekunde en Remote Sensing
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Ecology, Evolution, Behavior and Systematics
ComputingMilieux_MISCELLANEOUS
Earth-Surface Processes
0105 earth and related environmental sciences
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Biomass (ecology)
Land use
lcsh:QE1-996.5
Vegetation
04 agricultural and veterinary sciences
15. Life on land
PE&RC
Constraint (information theory)
lcsh:Geology
Earth sciences
lcsh:QH501-531
13. Climate action
Greenhouse gas
040103 agronomy & agriculture
Environmental science
0401 agriculture, forestry, and fisheries
lcsh:Ecology
Scale (map)
Subjects
Details
- Language :
- English
- ISSN :
- 17264170 and 17264189
- Database :
- OpenAIRE
- Journal :
- Biogeosciences, Biogeosciences, European Geosciences Union, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences 14 (2017) 22, Biogeosciences, Vol 14, Pp 5053-5067 (2017), Biogeosciences, 2017, 14 (22), pp.5053-5067. ⟨10.5194/bg-14-5053-2017⟩, Biogeosciences, 14(22), 5053-5067, Biogeosciences, 14 (22), 5053-5067
- Accession number :
- edsair.doi.dedup.....1c5071cd04cdad56f9d9bbd5ffd04a93
- Full Text :
- https://doi.org/10.5194/bg-14-5053-2017⟩