Assessing vegetation dynamics and their relationships with climatic variability in northern China |
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| Affiliation: | 1. Departament de Física de la Terra i Termodinàmica, Universitat de València, Dr. Moliner 50, 46100 Burjassot (Valencia), Spain;2. Departament de Didàctica de les Ciències Experimentals i Socials, Universitat de València, Tarongers 4, 46022 València, Spain;1. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, China;2. Centre for Biodiversity and Conservation Science, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia;3. Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia;4. School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia;5. Terrestrial Ecosystem Research Network, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia;6. Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Kaifeng 475004, China |
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| Abstract: | In this study, the vegetation dynamics and their correlations with climate variability in northern China were evaluated based on the normalized difference vegetation index (NDVI) and meteorological datasets from 1982 to 2006. The NDVI showed that vegetation cover had a tiny increasing trend for whole study area in the past 25 years. However, the interannual changes of NDVI were different in each season. The part of spring and autumn NDVI values increased significantly, while the summer NDVI increased no significantly. And the interannual variations of the NDVI showed obvious spatial differentiations. The annual max NDVI increased were mainly distributed in most areas of grassland and farmland, whereas the annual max NDVI decreased were mainly distributed in forest areas. The annual NDVI and temperature had more important relationships. Thus, as compared to precipitation, the correlation between NDVI with temperature was stronger than the precipitation in northern China. NDVI and climatic variables were different in each season. The NDVI trends exhibited a close correspondence to climatological variations in region and season. In Addition, human activities also had profound effect to the NDVI trends in some regions. All these findings will make humans know more about the knowledge of the natural forces that influence vegetation change and supply a scientific basic resource to for the environmental management in northern China. |
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| Keywords: | Vegetation dynamics Climate variability NDVI Northern China |
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