Investigating the spatially heterogeneous relationships between climate factors and NDVI in China during 1982 to 2013
文献类型：期刊论文
| 作者 | Gao Jiangbo1 ; Jiao Kewei1,2; Wu Shaohong1,3
|
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2019-10-01 |
| 卷号 | 29期号:10页码:1597-1609 |
| 关键词 | NDVI climate change spatial heterogeneity GWR China |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-019-1682-2 |
| 通讯作者 | Gao Jiangbo(gaojiangbo@igsnrr.ac.cn) |
| 英文摘要 | Climate change is a major driver of vegetation activity, and thus their complex processes become a frontier and difficulty in global change research. To understand this relationship between climate change and vegetation activity, the spatial distribution and dynamic characteristics of the response of NDVI to climate change were investigated by the geographically weighted regression (GWR) model during 1982 to 2013 in China. This model was run based on the combined datasets of satellite vegetation index (NDVI) and climate observation (temperature and moisture) from meteorological stations nationwide. The results showed that the spatial non-stationary relationship between NDVI and surface temperature has appeared in China: the significant negative temperature-vegetation relationship was located in Northeast, Northwest and Southeast China, while the positive correlation was more concentrated from southwest to northeast. By comparing the normalized regression coefficients from GWR model for different climate factors, it presented the regions with moisture dominants for NDVI were in North China and the Tibetan Plateau, and the areas of temperature dominants were distributed in East, Central and Southwest China, where the annual mean maximum temperature accounted for the largest areas. In addition, regression coefficients from GWR model between NDVI dynamics and climate variability indicated that the higher warming rate could result in the weakened vegetation activity through some mechanisms such as enhanced drought, while the moisture variability could mediate the hydrothermal conditions for the variation of vegetation activity. When the increasing rate of photosynthesis exceeded that of respiration, the positive correlation between vegetation dynamics and climate variability was reflected. However, the continuous and dynamic process of vegetation activity response to climate change will be determined by spatially heterogeneous conditions in climate change and vegetation cover. Furthermore, the dynamic description of climate-induced vegetation activity from its rise to decline in different regions is expected to provide a scientific basis for initiating ecosystem-based adaptation strategies in response to global climate change. |
| WOS关键词 | NET PRIMARY PRODUCTION ; GEOGRAPHICALLY-WEIGHTED REGRESSION ; VEGETATION DYNAMICS ; RESPONSES ; GRASSLAND ; PRECIPITATION ; ECOSYSTEMS |
| 资助项目 | National Key R&D Program of China[2018YFC1508900] ; National Key R&D Program of China[2018YFC1509003] ; National Key R&D Program of China[2018YFC1508801] ; National Natural Science Foundation of China[41671098] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20020202] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000484522800001 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/69699]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gao Jiangbo |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110016, Liaoning, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao Jiangbo,Jiao Kewei,Wu Shaohong. Investigating the spatially heterogeneous relationships between climate factors and NDVI in China during 1982 to 2013[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(10):1597-1609. |
| APA | Gao Jiangbo,Jiao Kewei,&Wu Shaohong.(2019).Investigating the spatially heterogeneous relationships between climate factors and NDVI in China during 1982 to 2013.JOURNAL OF GEOGRAPHICAL SCIENCES,29(10),1597-1609. |
| MLA | Gao Jiangbo,et al."Investigating the spatially heterogeneous relationships between climate factors and NDVI in China during 1982 to 2013".JOURNAL OF GEOGRAPHICAL SCIENCES 29.10(2019):1597-1609. |
入库方式： OAI收割
来源：地理科学与资源研究所
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