Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-4573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
23 Jul 2021
Model description paper |
| 23 Jul 2021
| 23 Jul 2021
Oil palm modelling in the global land surface model ORCHIDEE-MICT
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Universite Paris-Saclay, Gif-sur-Yvette 91191, France
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Joint Center for Global Change Studies, Beijing 100875, China
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Xiuzhi Chen
Guangdong Province Key Laboratory for Climate Change and Natural
Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University,
Guangzhou 510275, China
Haicheng Zhang
Department Geoscience, Environment and Society, Université Libre
de Bruxelles, 1050 Bruxelles, Belgium
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess
Plateau, Northwest A & F University, Yangling, Shaanxi 712100, China
Kasturi Kanniah
Centre for Environmental Sustainability and Water Security (IPASA),
Research Institute for Sustainable Environment (RISE) and Tropical Map
Research Group, Faculty of Built Environment and Surveying, Universiti
Teknologi Malaysia, Johor Bahru, Johor, 81310, Malaysia
Arthur P. Cracknell
School of Science and Engineering, University of Dundee, Dundee, DD1 4HN, UK
Peng Gong
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Joint Center for Global Change Studies, Beijing 100875, China
Viewed
Total article views: 5,830 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Oct 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,084 | 1,554 | 192 | 5,830 | 556 | 189 | 249 |
- HTML: 4,084
- PDF: 1,554
- XML: 192
- Total: 5,830
- Supplement: 556
- BibTeX: 189
- EndNote: 249
Total article views: 4,944 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jul 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,709 | 1,049 | 186 | 4,944 | 323 | 174 | 226 |
- HTML: 3,709
- PDF: 1,049
- XML: 186
- Total: 4,944
- Supplement: 323
- BibTeX: 174
- EndNote: 226
Total article views: 886 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Oct 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 375 | 505 | 6 | 886 | 233 | 15 | 23 |
- HTML: 375
- PDF: 505
- XML: 6
- Total: 886
- Supplement: 233
- BibTeX: 15
- EndNote: 23
Viewed (geographical distribution)
Total article views: 5,830 (including HTML, PDF, and XML)
Thereof 5,473 with geography defined
and 357 with unknown origin.
Total article views: 4,944 (including HTML, PDF, and XML)
Thereof 4,667 with geography defined
and 277 with unknown origin.
Total article views: 886 (including HTML, PDF, and XML)
Thereof 806 with geography defined
and 80 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
9 citations as recorded by crossref.
- Bioterritorialidad y biocombustibles: el caso Boliviano J. Quiroga Canaviri & B. Condori https://doi.org/10.47386/2023V1N3A4
- Calibración del modelo PALMSIM para la predicción de rendimiento potencial de la palma de aceite en Colombia C. Bojacá-Aldana et al. https://doi.org/10.56866/01212923.14519
- Does farming oil palm provide more benefits to local communities than preserving forests in Africa?: A case study in Cameroon L. Ayompe et al. https://doi.org/10.1016/j.clcb.2025.100201
- Base and upper temperature thresholds to support the calculation of growing degree days aiming at their use with the FAO56rev crop coefficients curve: A review P. Paredes et al. https://doi.org/10.1016/j.agwat.2025.109755
- Climate drives variation in remotely sensed palm oil yield in Indonesia and Malaysia L. Syahid et al. https://doi.org/10.1088/1748-9326/adbfac
- Development and validation of an oil palm model for a wide range of planting densities and soil textures in Malaysian growing conditions C. Teh et al. https://doi.org/10.1016/j.heliyon.2024.e32561
- Cropland expansion drives vegetation greenness decline in Southeast Asia R. Zhao et al. https://doi.org/10.5194/bg-21-5393-2024
- Trait-mediated microbial responses to carbon–phosphorus co-limitation drive necromass accrual and soil carbon sequestration during tropical forest restoration X. Cai et al. https://doi.org/10.1016/j.catena.2026.110553
- Recent advances and challenges in monitoring and modeling of disturbances in tropical moist forests J. He et al. https://doi.org/10.3389/frsen.2024.1332728
9 citations as recorded by crossref.
- Bioterritorialidad y biocombustibles: el caso Boliviano J. Quiroga Canaviri & B. Condori https://doi.org/10.47386/2023V1N3A4
- Calibración del modelo PALMSIM para la predicción de rendimiento potencial de la palma de aceite en Colombia C. Bojacá-Aldana et al. https://doi.org/10.56866/01212923.14519
- Does farming oil palm provide more benefits to local communities than preserving forests in Africa?: A case study in Cameroon L. Ayompe et al. https://doi.org/10.1016/j.clcb.2025.100201
- Base and upper temperature thresholds to support the calculation of growing degree days aiming at their use with the FAO56rev crop coefficients curve: A review P. Paredes et al. https://doi.org/10.1016/j.agwat.2025.109755
- Climate drives variation in remotely sensed palm oil yield in Indonesia and Malaysia L. Syahid et al. https://doi.org/10.1088/1748-9326/adbfac
- Development and validation of an oil palm model for a wide range of planting densities and soil textures in Malaysian growing conditions C. Teh et al. https://doi.org/10.1016/j.heliyon.2024.e32561
- Cropland expansion drives vegetation greenness decline in Southeast Asia R. Zhao et al. https://doi.org/10.5194/bg-21-5393-2024
- Trait-mediated microbial responses to carbon–phosphorus co-limitation drive necromass accrual and soil carbon sequestration during tropical forest restoration X. Cai et al. https://doi.org/10.1016/j.catena.2026.110553
- Recent advances and challenges in monitoring and modeling of disturbances in tropical moist forests J. He et al. https://doi.org/10.3389/frsen.2024.1332728
Saved (final revised paper)
Latest update: 18 Sep 2026
Short summary
In this study, we implemented the specific morphology, phenology and harvest process of oil palm in the global land surface model ORCHIDEE-MICT. The improved model generally reproduces the same leaf area index, biomass density and life cycle fruit yield as observations. This explicit representation of oil palm in a global land surface model offers a useful tool for understanding the ecological processes of oil palm growth and assessing the environmental impacts of oil palm plantations.
In this study, we implemented the specific morphology, phenology and harvest process of oil palm...
