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Analyzing nonlinear variations in terrestrial vegetation in China during 1982-2012
Liu, Yanxu ; Liu, Xianfeng ; Hu, Yi&apos ; Li, Shuangshuang ; Peng, Jian ; Wang, Yanglin ; na
刊名ENVIRONMENTAL MONITORING AND ASSESSMENT
2015
关键词Interannual vegetation variation Nonlinear fitting Influence factors GIMMS NDVI3g China NET PRIMARY PRODUCTIVITY CLIMATE-CHANGE RIVER-BASIN SPATIOTEMPORAL TRENDS ECOSYSTEM SERVICES TIBETAN PLATEAU INNER-MONGOLIA EASTERN CHINA LOESS PLATEAU UNITED-STATES
DOI10.1007/s10661-015-4922-7
英文摘要Quantifying the long-term trends of changes in terrestrial vegetation on a large scale is an effective method for detecting the effects of global environmental change. In view of the trend towards overall restoration and local degradation of terrestrial vegetation in China, it is necessary to pay attention to the spatial processes of vegetative restoration or degradation, as well as to clarify the temporal and spatial characteristics of vegetative growth in greater geographical detail. However, traditional linear regression analysis has some drawbacks when describing ecological processes. Combining non-parametric linear regression analysis with high-order nonlinear fitting, the temporal and spatial characteristics of terrestrial vegetative growth in China during 1982-2012 were detected using the third generation of Global Inventory Modeling and Mapping Studies (GIMMS(3g)) dataset. The results showed that high-order curves could be effective. The region joining Ordos City and Shaanxi Gansu Ningxia on the Loess Plateau may have experienced restoration-degradation-restoration processes of vegetative growth. In the Daloushan Mountains, degradation-restoration processes of vegetative growth may have occurred, and the occurrence of several hidden vegetative growth processes was located in different regions of eastern China. Changes in cultivated vegetation were inconsistent with changes in other vegetation types. In southern China and some high-altitude areas, temperature was the primary driver of vegetative growth on an interannual scale, while in the north, the effect of rainfall was more significant. Nevertheless, the influence of climate on vegetation activity in large urban areas was weak. The trend types of degradation-restoration processes in several regions were inconsistent with the implements of regional land development and protection strategy. Thus, the role of human activity cannot be ignored. In future studies, it will be still necessary to quantify the effects of human management on spatial patterns, develop trend-fitting methods, and explore more refined methods of analyzing the driving forces affecting large-scale changes in vegetative growth.; National Natural Science Foundation of China [41330747]; SCI(E); EI; PubMed; ARTICLE; liuyanxu@pku.edu.cn; ylwang@urban.pku.edu.cn; 11; 722; 187
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/415372]  
专题城市与环境学院
推荐引用方式
GB/T 7714
Liu, Yanxu,Liu, Xianfeng,Hu, Yi&apos,et al. Analyzing nonlinear variations in terrestrial vegetation in China during 1982-2012[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2015.
APA Liu, Yanxu.,Liu, Xianfeng.,Hu, Yi&apos.,Li, Shuangshuang.,Peng, Jian.,...&na.(2015).Analyzing nonlinear variations in terrestrial vegetation in China during 1982-2012.ENVIRONMENTAL MONITORING AND ASSESSMENT.
MLA Liu, Yanxu,et al."Analyzing nonlinear variations in terrestrial vegetation in China during 1982-2012".ENVIRONMENTAL MONITORING AND ASSESSMENT (2015).
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