Articles | Volume 13, issue 19
https://doi.org/10.5194/bg-13-5661-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-5661-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Soil carbon response to land-use change: evaluation of a global vegetation model using observational meta-analyses
Sylvia S. Nyawira
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Hamburg, Germany
International Max Planck Research School on Earth System Modelling, Hamburg, Germany
Julia E. M. S. Nabel
Max Planck Institute for Meteorology, Hamburg, Germany
Axel Don
Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany
Victor Brovkin
Max Planck Institute for Meteorology, Hamburg, Germany
Julia Pongratz
Max Planck Institute for Meteorology, Hamburg, Germany
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- Mapping the irrecoverable carbon in Earth’s ecosystems M. Noon et al. 10.1038/s41893-021-00803-6
- The land use change time-accounting failure M. Dupoux 10.1016/j.ecolecon.2019.05.017
- Process-oriented analysis of dominant sources of uncertainty in the land carbon sink M. O’Sullivan et al. 10.1038/s41467-022-32416-8
31 citations as recorded by crossref.
- Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia W. Abera et al. 10.1016/j.jenvman.2021.112191
- Post-agricultural restoration: Implications for dynamics of soil organic matter pools O. Kalinina et al. 10.1016/j.catena.2019.104096
- Organic matter determination in arid region soils: loss-on-ignition versus wet oxidation N. Bakr & S. El-Ashry 10.1080/00103624.2018.1526947
- Soil organic carbon exchange due to the change in land use N. Başaran et al. 10.1007/s10651-024-00617-7
- Effect of spring grass fires on vegetation patterns and soil quality in abandoned agricultural lands at local and landscape scales in Central European Russia L. Khanina et al. 10.1186/s13717-018-0150-8
- Carbon emissions from cropland expansion in the United States S. Spawn et al. 10.1088/1748-9326/ab0399
- CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. 10.5194/gmd-14-4117-2021
- Higher than expected CO2 fertilization inferred from leaf to global observations V. Haverd et al. 10.1111/gcb.14950
- The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc) V. Porwollik et al. 10.5194/bg-19-957-2022
- Input-driven versus turnover-driven controls of simulated changes in soil carbon due to land-use change S. Nyawira et al. 10.1088/1748-9326/aa7ca9
- Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP) C. Liao et al. 10.1186/s13717-021-00356-8
- Alteration process during the post-agricultural restoration of Luvisols of the temperate broad-leaved forest in Russia O. Kalinina et al. 10.1016/j.catena.2018.08.004
- Soil carbon sequestration simulated in CMIP6-LUMIP models: implications for climatic mitigation A. Ito et al. 10.1088/1748-9326/abc912
- Roots are key to increasing the mean residence time of organic carbon entering temperate agricultural soils C. Poeplau et al. 10.1111/gcb.15787
- Land cover changes and their determinants in the coral rag ecosystem of the South District of Unguja, Zanzibar K. Mohamed & B. Salome 10.5897/JENE2018.0693
- A Synthesis of Land Use/Land Cover Studies: Definitions, Classification Systems, Meta-Studies, Challenges and Knowledge Gaps on a Global Landscape R. Nedd et al. 10.3390/land10090994
- The Effect of Land-Use Change on Soil CH4 and N2O Fluxes: A Global Meta-Analysis M. McDaniel et al. 10.1007/s10021-019-00347-z
- Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. 10.1088/1748-9326/ac0be1
- Changes in soil properties and carbon fluxes following afforestation and agriculture in tropical forest J. Ahirwal et al. 10.1016/j.ecolind.2021.107354
- Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model T. Dinh et al. 10.5194/gmd-17-6725-2024
- Stocks of organic substance in post-agrogenic lands in Leningrad region D. Danilov et al. 10.1088/1757-899X/828/1/012007
- Reducing Uncertainties of Future Global Soil Carbon Responses to Climate and Land Use Change With Emergent Constraints W. Xu et al. 10.1029/2020GB006589
- Assessing the efficiency of changes in land use for mitigating climate change T. Searchinger et al. 10.1038/s41586-018-0757-z
- Temporal response of soil organic carbon after grassland‐related land‐use change W. Li et al. 10.1111/gcb.14328
- Contribution of agricultural land conversion to global GHG emissions: A meta-analysis S. Huang et al. 10.1016/j.scitotenv.2023.162269
- Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM J. Nabel et al. 10.5194/gmd-13-185-2020
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- Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems F. Stumpf et al. 10.1016/j.agee.2018.02.012
- Carbon sequestration at land use conversion – Early changes in total carbon stocks for six tree species grown on former agricultural land R. Rytter & L. Rytter 10.1016/j.foreco.2020.118129
- Mapping the irrecoverable carbon in Earth’s ecosystems M. Noon et al. 10.1038/s41893-021-00803-6
- The land use change time-accounting failure M. Dupoux 10.1016/j.ecolecon.2019.05.017
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Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
We introduce an approach applicable to dynamic global vegetation models for evaluating simulated soil carbon changes from land-use changes against meta-analyses. The approach makes use of the large spatial coverage of the observations, and accounts for different ages of the sampled land-use transitions. The evaluation offers an opportunity for identifying causes of model–data discrepancies. Applied to the model JSBACH, we find that introducing crop harvest substantially improves the results.
We introduce an approach applicable to dynamic global vegetation models for evaluating simulated...
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