Articles | Volume 10, issue 4
https://doi.org/10.5194/esd-10-617-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-10-617-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
15 Oct 2019
Research article | Highlight paper |
| 15 Oct 2019
| 15 Oct 2019
Modeling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model
Maarten C. Braakhekke
CORRESPONDING AUTHOR
Wageningen Environmental Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
PBL Netherlands Environmental Assessment Agency, the Hague, the Netherlands
Jonathan C. Doelman
PBL Netherlands Environmental Assessment Agency, the Hague, the Netherlands
Peter Baas
Geoscience & Remote Sensing, Delft University of Technology, Delft, the Netherlands
Christoph Müller
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Sibyll Schaphoff
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Elke Stehfest
PBL Netherlands Environmental Assessment Agency, the Hague, the Netherlands
Detlef P. van Vuuren
PBL Netherlands Environmental Assessment Agency, the Hague, the Netherlands
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- Seeing the forest for the trees: implementing dynamic representation of forest management and forest carbon in a long-term global multisector model K. Narayan et al. 10.1088/1748-9326/ad6ea3
- Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0) H. Ninomiya et al. 10.5194/gmd-16-4155-2023
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- MOO-GAPS: A multi-objective optimization model for global animal production and sustainability A. C. Castonguay et al. 10.1016/j.jclepro.2023.136440
26 citations as recorded by crossref.
- Commercial afforestation can deliver effective climate change mitigation under multiple decarbonisation pathways E. Forster et al. 10.1038/s41467-021-24084-x
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- Fire weather compromises forestation-reliant climate mitigation pathways F. Jäger et al. 10.5194/esd-15-1055-2024
- Carbon dioxide removal technologies are not born equal J. Strefler et al. 10.1088/1748-9326/ac0a11
- From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al. 10.3389/ffgc.2021.818661
- How to measure the efficiency of bioenergy crops compared to forestation S. Egerer et al. 10.5194/bg-21-5005-2024
- Soil microbial communities of dryland legume plantations are more complex than non-legumes Y. Li et al. 10.1016/j.scitotenv.2022.153560
- Photovoltaic fields largely outperform afforestation efficiency in global climate change mitigation strategies R. Stern et al. 10.1093/pnasnexus/pgad352
- Assessment of Coastal Carbon Storage and Analysis of Its Driving Factors: A Case Study of Jiaozhou Bay, China L. Zhang et al. 10.3390/land13081208
- Accounting for local temperature effect substantially alters afforestation patterns M. Windisch et al. 10.1088/1748-9326/ac4f0e
- Large variations in afforestation-related climate cooling and warming effects across short distances S. Rohatyn et al. 10.1038/s43247-023-00678-9
- Moo-Gaps: A Multi-Objective Optimization Model for Global Agricultural Production and Sustainability A. C. Castonguay et al. 10.2139/ssrn.4147212
- Mammal species composition and habitat associations in a commercial forest and mixed-plantation landscape W. Ng et al. 10.1016/j.foreco.2021.119163
- Navigating sustainability trade-offs in global beef production A. Castonguay et al. 10.1038/s41893-022-01017-0
- Afforestation for climate change mitigation: Potentials, risks and trade‐offs J. Doelman et al. 10.1111/gcb.14887
- Cell-level coupling of a mechanistic model to cellular automata for improving land simulation G. Chen et al. 10.1080/15481603.2023.2166443
- Artificial afforestation increased the distribution area and landscape complexity of planted forests in Tibet over the past 30 years T. Wang et al. 10.1016/j.gecco.2024.e02882
- Use of Optimization Modeling to Assess the Effect of Timber and Carbon Pricing on Harvest Scheduling, Carbon Sequestration, and Net Present Value of Eucalyptus Plantations A. Hirigoyen et al. 10.3390/f12060651
- Exploring tropical forest aboveground carbon dynamics via modelled landscapes of varied food production, past and present S. Los et al. 10.1002/ppp3.10608
- Land use change and carbon emissions of a transformation to timber cities A. Mishra et al. 10.1038/s41467-022-32244-w
- Seeing the forest for the trees: implementing dynamic representation of forest management and forest carbon in a long-term global multisector model K. Narayan et al. 10.1088/1748-9326/ad6ea3
- Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0) H. Ninomiya et al. 10.5194/gmd-16-4155-2023
- Greenhouse gas implications of mobilizing agricultural biomass for energy: a reassessment of global potentials in 2050 under different food-system pathways G. Kalt et al. 10.1088/1748-9326/ab6c2e
- Estimating global land system impacts of timber plantations using MAgPIE 4.3.5 A. Mishra et al. 10.5194/gmd-14-6467-2021
- How does carbon pricing impact optimal thinning schedules and net present value in Mediterranean pine plantations? M. Acuna et al. 10.1016/j.foreco.2020.118847
- MOO-GAPS: A multi-objective optimization model for global animal production and sustainability A. C. Castonguay et al. 10.1016/j.jclepro.2023.136440
Latest update: 14 Dec 2024
Short summary
We developed a computer model that simulates forests plantations at global scale and how fast such forests can take up CO2 from the atmosphere. Using this new model, we performed simulations for a scenario in which a large fraction (14 %) of global croplands and pastures are either converted to planted forests or natural forests. We find that planted forests take up CO2 substantially faster than natural forests and are therefore a viable strategy for reducing climate change.
We developed a computer model that simulates forests plantations at global scale and how fast...
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