Articles | Volume 15, issue 1
Clim. Past, 15, 335–366, 2019
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.
Clim. Past, 15, 335–366, 2019
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.
Research article
| Highlight paper
18 Feb 2019
Research article
| Highlight paper
| 18 Feb 2019
Harmonising plant functional type distributions for evaluating Earth system models
Anne Dallmeyer et al.
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Cited
16 citations as recorded by crossref.
- 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
- Paleoclimate-conditioning reveals a North Africa land–atmosphere tipping point P. Hopcroft & P. Valdes 10.1073/pnas.2108783118
- 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
- Feedbacks of soil properties on vegetation during the Green Sahara period W. Chen et al. 10.1016/j.quascirev.2020.106389
- 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
- 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
- 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
14 citations as recorded by crossref.
- 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
- Paleoclimate-conditioning reveals a North Africa land–atmosphere tipping point P. Hopcroft & P. Valdes 10.1073/pnas.2108783118
- 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
- Feedbacks of soil properties on vegetation during the Green Sahara period W. Chen et al. 10.1016/j.quascirev.2020.106389
- 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
- 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: 08 Aug 2022
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...
