Nonlinear features and complexity patterns of vegetation dynamics in the transition zone of North China |
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| Institution: | 1. Laboratory for Earth Surface Processes Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;2. Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, MI State University, East Lansing, MI 48823, USA;1. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021 (China);2. Zhejiang A&F University, Lin''an 311300 (China);3. University of Chinese Academy of Sciences, Beijing 100049 (China);4. Cary Institute of Ecosystem Studies, Millbrook NY 12545 (USA);1. Department of Natural Science, Korea Naval Academy, Changwon, Republic of Korea;2. National Institute of Meteorological Research, KMA, Jeju-do 697-845, Republic of Korea;3. Department of Physics, Pukyong National University, Busan, Republic of Korea;4. Department of Statistics, Dongguk University-Seoul, Seoul 100-715, Republic of Korea;1. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, PR China;2. Jiangsu Research Center for Ocean Survey Technology, Nanjing 210044, PR China;3. Beijing Institute of Applied Meteorology, Beijing 100029, PR China;4. Lanzhou Central Meteorological Observatory, Lanzhou 730020, PR China;5. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, PR China;1. Institute of Seismological Research, Gandhinagar, India;2. ARPAB - 85100, Potenza, Italy;3. Indian School of Mines, Dhanbad, India;4. National Research Council, Institute of Methodologies for Environmental Analysis, C.da S.Loja, 85050 Tito, Italy;1. Istituto di Metodologie per l’Analisi Ambientale, CNR, C. da S.Loja, 85050 Tito (PZ), Italy;2. ARPAB, Potenza, Italy;3. Instituto de Geofísica, UNAM, Ciudad Universitaria 04310, Mexico D.F., Mexico;1. College of Computer Science and Technology, Qingdao University, China;2. College of Data Science and Software Engineering, Qingdao University, China |
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| Abstract: | Normalized Difference Vegetation Index (NDVI) has been commonly used to estimate terrestrial vegetation distribution and productivity. In this study, we adopted recurrence quantification analysis (RQA) to investigate the spatial patterns of determinism of the vegetation dynamics ecological-geographical transition zones in North China, especially the differences between transition zone and the surrounding areas. The results indicated that there were obvious regional variances in spatial patterns of RQA indices—determinism, laminarity, entropy, and averaged diagonal line length. Remarkable differences of the determinism of NDVI time series also existed between transition zones and the surrounding areas. Moreover, the correlation analysis between the RQA indices and climatic factors suggested that the determinism of the NDVI time series was nonlinearly affected by hydrothermal conditions. Influenced by vegetation patterns, determinism reached the maximum when the annual precipitation is about 400 mm, which is the lower bound of cultivation and forest distribution, and along the 400 mm isohyet is the area where transition zones locate. |
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| Keywords: | NDVI series Determinism Recurrence quantification analysis Transition zone North China |
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