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
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, School of Geographical Sciences, Nanjing University
of Information Science and Technology, Nanjing 210044, China
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,...
