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Impacts of climate change on vegetation pattern: Mathematical modeling and data analysis
Institution:1. Department of Mathematics, North University of China, Taiyuan, 030051, China;2. Complex Systems Research Center, Shanxi University, Taiyuan, 030006, China;3. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China;4. School of Computer and Information Technology, Shanxi University, Taiyuan, 030006, China;5. School of Applied Mathematics, Shanxi University of Finance and Economics, Taiyuan, 030006, China;6. Center for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi''an, 710072, China;7. College of Physics Science and Technology, Yangzhou University, Yangzhou, 225002, China;8. School of Mechanical Engineering and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xian, 710072, China;9. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, 100081, China;1. Neurobiology, Biochemistry and Biophysics School, Wise Faculty of Life Sciences, Israel;2. Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel;1. Rehabilitation Center Valens, CH-7317 Valens, Switzerland;2. University Hospital of Psychiatry, CH-8032 Zurich, Switzerland;1. University of Granada, Spain;2. Politecnico Torino, Italy;3. Fondazione Collegio Carlo Alberto, Torino, Italy;5. Charles University, Institute of Economic Studies, Faculty of Social Sciences, Prague, Czech Republic;6. University of Torino, Italy;1. Institute for Integrative Systems Biology (I2SysBio), University of València and Spanish National Research Council (CSIC), València, Spain;2. Foundation for the Promotion of Sanitary and Biomedical Research of Valencia Region (FISABIO), València, Spain;3. Biomedical Research Networking Centre for Epidemiology and Public Health (CIBEResp), Madrid, Spain;1. Department of Solar Energy and Environmental Physics, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 84990, Israel;2. Institute for Mathematics, Carl von Ossietzky University Oldenburg, P.F 2503, 26111 Oldenburg, Germany;3. Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University Oldenburg, PF 2503, 26111 Oldenburg, Germany;4. Department of Physics, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel;1. Department of Environmental Sciences, Copernicus Institute, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, P.O. Box 80115, 3508 TC Utrecht, The Netherlands;2. Mathematical Institute, Leiden University, P.O. Box 9512, 2300 RA Leiden, The Netherlands;3. Department of Mathematics, University of Bremen, P.O. Box 33 04 40, 28359 Bremen, Germany
Abstract:Climate change has become increasingly severe, threatening ecosystem stability and, in particular, biodiversity. As a typical indicator of ecosystem evolution, vegetation growth is inevitably affected by climate change, and therefore has a great potential to provide valuable information for addressing such ecosystem problems. However, the impacts of climate change on vegetation growth, especially the spatial and temporal distribution of vegetation, are still lacking of comprehensive exposition. To this end, this review systematically reveals the influences of climate change on vegetation dynamics in both time and space by dynamical modeling the interactions of meteorological elements and vegetation growth. Moreover, we characterize the long-term evolution trend of vegetation growth under climate change in some typical regions based on data analysis. This work is expected to lay a necessary foundation for systematically revealing the coupling effect of climate change on the ecosystem.
Keywords:Climate change  Vegetation pattern  Mathematical modeling  Data analysis
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