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A new global dataset of phase synchronization of temperature and precipitation: Its climatology and contribution to global vegetation productivity

文献类型：期刊论文

作者Sun, Zhigang1,2,3,4; Ouyang, Zhu1,2,3,4; Zhang, Xubo1; Ren, Wei5
刊名GEOSCIENCE DATA JOURNAL
出版日期2019-07-29
页码11
关键词climate NDVI precipitation phase synchronization synchronization index temperature vegetation productivity
ISSN号2049-6060
DOI10.1002/gdj3.76
通讯作者Sun, Zhigang(sun.zhigang@igsnrr.ac.cn)
英文摘要Besides cumulative temperature and precipitation, the phase synchronization of temperature and precipitation also helps to regulate vegetation distribution and productivity across global lands. However, the phase synchronization has been rarely considered in previous studies related to climate and biogeography due to a lack of a robust and quantitative approach. In this study, we proposed a synchronization index of temperature and precipitation (SI-TaP) and then investigated its global spatial distribution, interannual fluctuation, and long-term trend derived from a global 60-year dataset of meteorological forcings. Further investigation was conducted to understand the relationship between SI-TaP and the annually summed Normalized Difference Vegetation Index (NDVI), which could be a proxy of terrestrial vegetation productivity. Results show differences in both spatial patterns and temporal variations between SI-TaP and air temperature and precipitation, but SI-TaP may help to explain the distribution and productivity of terrestrial vegetation. About 60% of regions where annually summed NDVI is greater than half of its maximum value overlap regions where SI-TaP is greater than half of its maximum value. By using SI-TaP to explain vegetation productivity along with temperature and precipitation, the maximum increase in the coefficient of determination is 0.66 across global lands. Results from this study suggest that the proposed SI-TaP index is helpful to better understand climate change and its relation to the biota.
WOS关键词TERRESTRIAL ECOSYSTEMS ; NORTHERN ECOSYSTEMS ; MONSOON ; SENSITIVITY ; TRAITS ; MODEL ; NPP ; CO2
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040303] ; National Key Research and Development Program of China[2017YFC0503805] ; National Natural Science Foundation of China[31570472] ; 100 Talents Program of the Chinese Academy of Sciences ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-EW-STS-054]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000481308000001
出版者WILEY
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; 100 Talents Program of the Chinese Academy of Sciences ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/68654]  
专题中国科学院地理科学与资源研究所
通讯作者Sun, Zhigang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing, Peoples R China
3.Zhongke Shandong Dongying Inst Geog, Dongying, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
5.Univ Kentucky, Coll Agr Food & Environm, Lexington, KY USA
推荐引用方式
GB/T 7714		 Sun, Zhigang,Ouyang, Zhu,Zhang, Xubo,et al. A new global dataset of phase synchronization of temperature and precipitation: Its climatology and contribution to global vegetation productivity[J]. GEOSCIENCE DATA JOURNAL,2019:11.
APA Sun, Zhigang,Ouyang, Zhu,Zhang, Xubo,&Ren, Wei.(2019).A new global dataset of phase synchronization of temperature and precipitation: Its climatology and contribution to global vegetation productivity.GEOSCIENCE DATA JOURNAL,11.
MLA Sun, Zhigang,et al."A new global dataset of phase synchronization of temperature and precipitation: Its climatology and contribution to global vegetation productivity".GEOSCIENCE DATA JOURNAL (2019):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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