Articles | Volume 19, issue 5
https://doi.org/10.5194/bg-19-1515-2022
© 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/bg-19-1515-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Land Management Contributes significantly to observed Vegetation Browning in Syria during 2001–2018
Tiexi Chen
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
School of Geographical Sciences, Qinghai Normal University, Xining
810008, China
Renjie Guo
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Qingyun Yan
School of Remote Sensing and Geomatics Engineering, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Xin Chen
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Shengjie Zhou
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Chuanzhuang Liang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Xueqiong Wei
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Han Dolman
NIOZ Royal Netherlands Institute for Sea Research, Den Burg 1790
AB, Texel, the Netherlands
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam
1081 HV, the Netherlands
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Cited
10 citations as recorded by crossref.
- Agricultural land management extends the duration of the impacts of extreme climate events on vegetation in double–cropping systems in the Yangtze–Huai plain China T. Chen et al. 10.1016/j.ecolind.2023.111488
- The Impacts of War on Land Use and Land Cover in Syria Based on Simulation Q. Liu et al. 10.1007/s41976-025-00205-8
- Vegetation Dynamics in Response to Climate Change and Human Activities in a Typical Alpine Region in the Tibetan Plateau G. Zhao et al. 10.3390/ijerph191912359
- Vegetation Change and Conservation Evaluation of the Cangshan Erhai National Nature Reserve (Cangshan Mountain Part) in Southwest China C. Ni et al. 10.3390/f14071485
- Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al. 10.1007/s11442-023-2151-5
- Investigation of the Key Drivers of Vegetation Change Based on a Paired Land Use Experiment Approach—A Case Study of the Emin River Transboundary Basin L. Zhu et al. 10.3390/land14020437
- The global greening continues despite increased drought stress since 2000 X. Chen et al. 10.1016/j.gecco.2023.e02791
- Investigating the impacts of climate variations and armed conflict on drought and vegetation cover in Northeast Syria (2000–2023) A. Sukkar et al. 10.1016/j.jaridenv.2024.105278
- Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications S. Mathbout et al. 10.1016/j.indic.2025.100631
- Land Management Explains the Contrasting Greening Pattern Across China‐Russia Border Based on Paired Land Use Experiment Approach T. Chen et al. 10.1029/2021JG006659
10 citations as recorded by crossref.
- Agricultural land management extends the duration of the impacts of extreme climate events on vegetation in double–cropping systems in the Yangtze–Huai plain China T. Chen et al. 10.1016/j.ecolind.2023.111488
- The Impacts of War on Land Use and Land Cover in Syria Based on Simulation Q. Liu et al. 10.1007/s41976-025-00205-8
- Vegetation Dynamics in Response to Climate Change and Human Activities in a Typical Alpine Region in the Tibetan Plateau G. Zhao et al. 10.3390/ijerph191912359
- Vegetation Change and Conservation Evaluation of the Cangshan Erhai National Nature Reserve (Cangshan Mountain Part) in Southwest China C. Ni et al. 10.3390/f14071485
- Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al. 10.1007/s11442-023-2151-5
- Investigation of the Key Drivers of Vegetation Change Based on a Paired Land Use Experiment Approach—A Case Study of the Emin River Transboundary Basin L. Zhu et al. 10.3390/land14020437
- The global greening continues despite increased drought stress since 2000 X. Chen et al. 10.1016/j.gecco.2023.e02791
- Investigating the impacts of climate variations and armed conflict on drought and vegetation cover in Northeast Syria (2000–2023) A. Sukkar et al. 10.1016/j.jaridenv.2024.105278
- Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications S. Mathbout et al. 10.1016/j.indic.2025.100631
- Land Management Explains the Contrasting Greening Pattern Across China‐Russia Border Based on Paired Land Use Experiment Approach T. Chen et al. 10.1029/2021JG006659
Latest update: 13 Mar 2025
Short summary
Currently people are very concerned about vegetation changes and their driving factors, including natural and anthropogenic drivers. In this study, a general browning trend is found in Syria during 2001–2018, indicated by the vegetation index. We found that land management caused by social unrest is the main cause of this browning phenomenon. The mechanism initially reported here highlights the importance of land management impacts at the regional scale.
Currently people are very concerned about vegetation changes and their driving factors,...
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