Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2045-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2045-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Apr 2022
Research article |
| 27 Apr 2022
| 27 Apr 2022
Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations
Shakirudeen Lawal
CORRESPONDING AUTHOR
Climate System Analysis Group, Department of Environmental and Geographical Science, University of Cape Town, Cape Town 7700, South Africa
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QE, UK
Danica Lombardozzi
National Center for Atmospheric Research, Climate and Global Dynamics, Terrestrial Sciences Section, Boulder, CO 80305, USA
Julia E. M. S. Nabel
Land in Earth System (LES), Max Planck Institute for Meteorology, Hamburg, Germany
Hao-Wei Wey
Land in Earth System (LES), Max Planck Institute for Meteorology, Hamburg, Germany
Pierre Friedlingstein
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Hanqin Tian
School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA
Bruce Hewitson
Climate System Analysis Group, Department of Environmental and Geographical Science, University of Cape Town, Cape Town 7700, South Africa
Viewed
Total article views: 3,464 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,371 | 1,007 | 86 | 3,464 | 291 | 67 | 70 |
- HTML: 2,371
- PDF: 1,007
- XML: 86
- Total: 3,464
- Supplement: 291
- BibTeX: 67
- EndNote: 70
Total article views: 2,267 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Apr 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,762 | 430 | 75 | 2,267 | 128 | 55 | 52 |
- HTML: 1,762
- PDF: 430
- XML: 75
- Total: 2,267
- Supplement: 128
- BibTeX: 55
- EndNote: 52
Total article views: 1,197 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 609 | 577 | 11 | 1,197 | 163 | 12 | 18 |
- HTML: 609
- PDF: 577
- XML: 11
- Total: 1,197
- Supplement: 163
- BibTeX: 12
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,464 (including HTML, PDF, and XML)
Thereof 3,152 with geography defined
and 312 with unknown origin.
Total article views: 2,267 (including HTML, PDF, and XML)
Thereof 2,090 with geography defined
and 177 with unknown origin.
Total article views: 1,197 (including HTML, PDF, and XML)
Thereof 1,062 with geography defined
and 135 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
13 citations as recorded by crossref.
- A Study on the Differences in Vegetation Phenological Characteristics and Their Effects on Water–Carbon Coupling in the Huang-Huai-Hai and Yangtze River Basins, China S. Han et al. 10.3390/su16146245
- Increased impact of the El Niño–Southern Oscillation on global vegetation under future warming environment T. Le 10.1038/s41598-023-41590-8
- Towards interpreting machine learning models for understanding the relationship between vegetation growth and climate factors: A case study of the Anhui Province, China N. Bao et al. 10.1016/j.ecolind.2024.112636
- Earth observation reveals reduced winter wheat growth and the importance of plant available water during drought H. Sjulgård et al. 10.5194/bg-22-1341-2025
- Future drought propagation through the water-energy-food-ecosystem nexus – A Nordic perspective C. Teutschbein et al. 10.1016/j.jhydrol.2022.128963
- Sensitivity and vulnerability of vegetation to meteorological drought in Yunnan Province, southwest China H. Xu et al. 10.1016/j.jenvman.2025.125444
- Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual analysis F. Mumtaz et al. 10.1016/j.scitotenv.2023.166940
- Modeling the impacts of hot drought on forests in Texas S. Lawal et al. 10.3389/ffgc.2024.1280254
- Vegetation resistance to increasing aridity when crossing thresholds depends on local environmental conditions in global drylands C. Abel et al. 10.1038/s43247-024-01546-w
- Forest demographic changes across Texas associated with hot drought S. Lawal et al. 10.1016/j.ecolind.2025.113117
- A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. 10.1038/s41597-024-03948-z
- The Drought Regime in Southern Africa: A Systematic Review F. Chivangulula et al. 10.3390/cli11070147
- Prolonged warming and drought reduce canopy‐level net carbon uptake in beech and oak saplings despite photosynthetic and respiratory acclimation J. Deluigi et al. 10.1111/nph.70111
13 citations as recorded by crossref.
- A Study on the Differences in Vegetation Phenological Characteristics and Their Effects on Water–Carbon Coupling in the Huang-Huai-Hai and Yangtze River Basins, China S. Han et al. 10.3390/su16146245
- Increased impact of the El Niño–Southern Oscillation on global vegetation under future warming environment T. Le 10.1038/s41598-023-41590-8
- Towards interpreting machine learning models for understanding the relationship between vegetation growth and climate factors: A case study of the Anhui Province, China N. Bao et al. 10.1016/j.ecolind.2024.112636
- Earth observation reveals reduced winter wheat growth and the importance of plant available water during drought H. Sjulgård et al. 10.5194/bg-22-1341-2025
- Future drought propagation through the water-energy-food-ecosystem nexus – A Nordic perspective C. Teutschbein et al. 10.1016/j.jhydrol.2022.128963
- Sensitivity and vulnerability of vegetation to meteorological drought in Yunnan Province, southwest China H. Xu et al. 10.1016/j.jenvman.2025.125444
- Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual analysis F. Mumtaz et al. 10.1016/j.scitotenv.2023.166940
- Modeling the impacts of hot drought on forests in Texas S. Lawal et al. 10.3389/ffgc.2024.1280254
- Vegetation resistance to increasing aridity when crossing thresholds depends on local environmental conditions in global drylands C. Abel et al. 10.1038/s43247-024-01546-w
- Forest demographic changes across Texas associated with hot drought S. Lawal et al. 10.1016/j.ecolind.2025.113117
- A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network H. Li et al. 10.1038/s41597-024-03948-z
- The Drought Regime in Southern Africa: A Systematic Review F. Chivangulula et al. 10.3390/cli11070147
- Prolonged warming and drought reduce canopy‐level net carbon uptake in beech and oak saplings despite photosynthetic and respiratory acclimation J. Deluigi et al. 10.1111/nph.70111
Latest update: 23 Apr 2025
Short summary
To investigate the impacts of drought on vegetation, which few studies have done due to various limitations, we used the leaf area index as proxy and dynamic global vegetation models (DGVMs) to simulate drought impacts because the models use observationally derived climate. We found that the semi-desert biome responds strongly to drought in the summer season, while the tropical forest biome shows a weak response. This study could help target areas to improve drought monitoring and simulation.
To investigate the impacts of drought on vegetation, which few studies have done due to various...
