Vegetation browning: global drivers,impacts, and feedbacks |
| |
| Institution: | 1. Institute of Environment Sciences, Department of Biology Sciences, University of Quebec at Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal, H3C 3P8, Canada;2. School of Public Policy and Administration, Xi''an Jiaotong University, Xi''an, 710049, China;3. College of Geographic Science, Hunan Normal University, Changsha, 410081, China;4. University of Quebec at Rimouski (UQAR), Rimouski, Quebec, G5L 3A1, Canada;5. Science and Technology Branch, Environment and Climate Change Canada, 351 St-Joseph Blvd, Gatineau, Quebec, Canada;6. CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China;7. Atmospheric Sciences and Global Change Division, Pacific Northwest National Lab, PO Box 999, Richland, WA 99352, USA;8. School of Biological Sciences, Washington State University, PO Box 644236, Pullman, WA 99164-4236, USA;9. Centre for Forest Research, University of Quebec at Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal, H3C 3P8, Canada |
| |
| Abstract: | As global climate conditions continue to change, disturbance regimes and environmental drivers will continue to shift, impacting global vegetation dynamics. Following a period of vegetation greening, there has been a progressive increase in remotely sensed vegetation browning globally. Given the many societal benefits that forests provide, it is critical that we understand vegetation dynamic alterations. Here, we review associative drivers, impacts, and feedbacks, revealing the complexity of browning. Concomitant increases in browning include the weakening of ecosystem services and functions and alterations to vegetation structure and species composition, as well as the development of potential positive climate change feedbacks. Also discussed are the current challenges in browning detection and understanding associated impacts and feedbacks. Finally, we outline recommended strategies. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
