Articles | Volume 15, issue 1
https://doi.org/10.5194/cp-15-335-2019
© 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/cp-15-335-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Harmonising plant functional type distributions for evaluating Earth system models
Anne Dallmeyer
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg,
Germany
Martin Claussen
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg,
Germany
Meteorological Institute, Centrum für Erdsystemforschung und
Nachhaltigkeit (CEN), Universität Hamburg, Bundesstrasse 55, 20146
Hamburg, Germany
Victor Brovkin
Max Planck Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg,
Germany
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- Feedbacks of soil properties on vegetation during the Green Sahara period W. Chen et al. 10.1016/j.quascirev.2020.106389
- Enhanced Mid‐Holocene Vegetation Growth and Its Biophysical Feedbacks in China W. Chen et al. 10.1029/2023GL104702
- Vegetation over the last glacial maximum at Girraween Lagoon, monsoonal northern Australia C. Rowe et al. 10.1017/qua.2020.50
- Orbital variations as a major driver of climate and biome distribution during the greenhouse to icehouse transition D. Tardif et al. 10.1126/sciadv.abh2819
- More than agriculture: Analysing time-cumulative human impact on European land-cover of second half of the Holocene A. Zapolska et al. 10.1016/j.quascirev.2023.108227
- The end of the African humid period as seen by a transient comprehensive Earth system model simulation of the last 8000 years A. Dallmeyer et al. 10.5194/cp-16-117-2020
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22 citations as recorded by crossref.
- Effect of temperature on carbon accumulation in northern lake systems over the past 21,000 years G. Pfalz et al. 10.3389/feart.2023.1233713
- Updating knowledge of vegetation belts on a complex oceanic island after 20 years under the effect of climate change J. García-Alvarado et al. 10.1007/s10531-024-02864-3
- Response of vegetation cover to CO2 and climate changes between Last Glacial Maximum and pre-industrial period in a dynamic global vegetation model W. Chen et al. 10.1016/j.quascirev.2019.06.003
- Northern Hemisphere biome changes (>30°N) since 40 cal ka BP and their driving factors inferred from model-data comparisons X. Cao et al. 10.1016/j.quascirev.2019.07.034
- Strengths and challenges for transient Mid- to Late Holocene simulations with dynamical vegetation P. Braconnot et al. 10.5194/cp-15-997-2019
- Improving biome and climate modelling for a set of past climate conditions: evaluating bias correction using the CDF-t approach A. Zapolska et al. 10.1088/2752-5295/accbe2
- Closure of tropical seaways favors the climate and vegetation in tropical Africa and South America approaching their present conditions N. Tan et al. 10.1016/j.gloplacha.2023.104351
- Paleoclimate-conditioning reveals a North Africa land–atmosphere tipping point P. Hopcroft & P. Valdes 10.1073/pnas.2108783118
- Mid-Holocene high-resolution temperature and precipitation gridded reconstructions over China: Implications for elevation-dependent temperature changes W. Chen et al. 10.1016/j.epsl.2022.117656
- Detecting northern peatland vegetation patterns at ultra‐high spatial resolution A. Räsänen et al. 10.1002/rse2.140
- Asymmetric response of forest and grassy biomes to climate variability across the African Humid Period: influenced by anthropogenic disturbance? L. Phelps et al. 10.1111/ecog.04990
- Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models P. Horvath et al. 10.5194/bg-18-95-2021
- Holocene vegetation transitions and their climatic drivers in MPI-ESM1.2 A. Dallmeyer et al. 10.5194/cp-17-2481-2021
- Global vegetation distribution driving factors in two Dynamic Global Vegetation Models of contrasting complexities H. Li et al. 10.1016/j.gloplacha.2019.05.009
- Diversity patterns of plant functional types in the Holocene of Central India: A case study on the Lonar Crater Lake pollen record T. Utescher et al. 10.1177/09596836231151801
- Feedbacks of soil properties on vegetation during the Green Sahara period W. Chen et al. 10.1016/j.quascirev.2020.106389
- Enhanced Mid‐Holocene Vegetation Growth and Its Biophysical Feedbacks in China W. Chen et al. 10.1029/2023GL104702
- Vegetation over the last glacial maximum at Girraween Lagoon, monsoonal northern Australia C. Rowe et al. 10.1017/qua.2020.50
- Orbital variations as a major driver of climate and biome distribution during the greenhouse to icehouse transition D. Tardif et al. 10.1126/sciadv.abh2819
- More than agriculture: Analysing time-cumulative human impact on European land-cover of second half of the Holocene A. Zapolska et al. 10.1016/j.quascirev.2023.108227
- The end of the African humid period as seen by a transient comprehensive Earth system model simulation of the last 8000 years A. Dallmeyer et al. 10.5194/cp-16-117-2020
- Local oceanic CO<sub>2</sub> outgassing triggered by terrestrial carbon fluxes during deglacial flooding T. Extier et al. 10.5194/cp-18-273-2022
2 citations as recorded by crossref.
- Rapid increase in simulated North Atlantic dust deposition due to fast change of northwest African landscape during the Holocene S. Egerer et al. 10.5194/cp-14-1051-2018
- Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine R. Srinet et al. 10.1080/01431161.2020.1766147
Latest update: 20 Nov 2024
Short summary
A simple but powerful method for the biomisation of plant functional type distributions is introduced and tested for six different dynamic global vegetation models based on pre-industrial and palaeo-simulations. The method facilitates the direct comparison between vegetation distributions simulated by different Earth system models and between model results and the pollen-based biome reconstructions. It is therefore a powerful tool for the evaluation of Earth system models.
A simple but powerful method for the biomisation of plant functional type distributions is...