Supplementary data for the article "Differences in land-based mitigation estimates reconciled by separating natural and land-use CO2 fluxes at the country level"

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Citation: Schwingshackl, Clemens: Supplementary data for the article "Differences in land-based mitigation estimates reconciled by separating natural and land-use CO2 fluxes at the country level". 15. November 2022. Open Data LMU. 10.5282/ubm/data.346

This is the latest version of this item.

	Other (This file contains the gridded anthropogenic LULUCF fluxes averaged across the three bookkeeping models.) Fig1_Data_gridded_anthropogenic-LULUCF-flux_BM-models_2001-2015.nc - Supplemental Material 1MB
	Other (This file contains the gridded natural land sink calculated as multi-model median of the 17 DGVMs.) Fig1_Data_gridded_natural-land-flux_DGVMs_2001-2015.nc - Supplemental Material 505kB
	Microsoft Excel (This file contains the 2001-2015 average of the natural land sink on all land. It includes the median of the 17 DGVM estimates, the lower uncertainty bound (25th quantile of DGVM estimates) and upper uncertainty bound (75th quantile of DGVM estimates) Fig1_Data_country-level_natural-land-flux_DGVMs_2001-2015.xlsx - Supplemental Material 5kB
	Microsoft Excel (This file contains the 2001-2015 time series of the LULUCF fluxes from bookkeeping models for the eight investigated countries. The single sheets contain data for BLUE, OSCAR, and H&N2021. The average of the time series and the three bookkeeping models) Fig2_Data_country-level_anthropogenic-LULUCF-flux_BM-models_2001-2015.xlsx - Supplemental Material 9kB
	Microsoft Excel (This file contains the 2001-2015 average of the natural land sink in managed forests. It includes the median of the 17 DGVM estimates, the lower uncertainty bound (25th quantile of DGVM estimates) and upper uncertainty bound (75th quantile)) Fig2_Data_country-level_natural-land-flux_DGVMs_2001-2015.xlsx - Supplemental Material 5kB
	Microsoft Excel (This file contains the 2001-2015 average of the LULUCF fluxes from UNFCCC country reports including the lower and upper uncertainty bounds (95% confidence intervals).) Fig2_Data_country-level_LULUCF-flux_UNFCCC-reports_2001-2015-average.xlsx - Supplemental Material 5kB
	Microsoft Excel (This file contains the forest area estimates for the eight investigated countries from UNFCCC reports, FAO, the Hansen & Potapov datasets, and from the bookkeping model BLUE.) Fig3_Data_country-level_forest-area.xlsx - Supplemental Material 7kB

DOI: 10.5282/ubm/data.346

This dataset is available unter the terms of the following Creative Commons LicenseCC BY 4.0

Abstract

This dataset contains supplementary data for the article Schwingshackl et al. (2022), entitled "Differences in land-based mitigation estimates reconciled by separating natural and land-use CO2 fluxes at the country level” (https://doi.org/10.1016/j.oneear.2022.11.009). The dataset includes gridded data and country-level estimates of land use, land-use change, and forestry (LULUCF) fluxes from bookkeeping models, gridded data and country-level estimates of the natural land sink, country-level estimates of LULUCF fluxes from UNFCCC reports, and country-level estimates of forest areas. Note that this dataset contains updated natural land sink estimates compared to the first publication of the dataset.

Item Type:	Data
Contact Person:	Schwingshackl, Clemens
E-Mail of Contact:	clemens.schwingshackl at geographie.uni-muenchen.de
Subjects:	Geosciences
Dewey Decimal Classification:	500 Natural sciences and mathematics 500 Natural sciences and mathematics > 550 Earth sciences
ID Code:	346
Deposited By:	Clemens Schwingshackl
Deposited On:	09. Dec 2022 08:21
Last Modified:	09. Dec 2022 08:21

Available Versions of this Item

Supplementary data for the article "Differences in land-based mitigation estimates reconciled by separating natural and land-use CO2 fluxes at the country level". (deposited 16. Nov 2022 12:09)
- Supplementary data for the article "Differences in land-based mitigation estimates reconciled by separating natural and land-use CO2 fluxes at the country level". (deposited 09. Dec 2022 08:21) [Currently Displayed]

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