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

被引:5
|
作者
Sun, Zhigang [1 ,2 ,3 ,4 ]
Ouyang, Zhu [1 ,2 ,3 ,4 ]
Zhang, Xubo [1 ]
Ren, Wei [5 ]
机构
[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
来源
GEOSCIENCE DATA JOURNAL | 2019年 / 6卷 / 02期
基金
中国国家自然科学基金;
关键词
climate; NDVI; precipitation; phase synchronization; synchronization index; temperature; vegetation productivity; TERRESTRIAL ECOSYSTEMS; NORTHERN ECOSYSTEMS; MONSOON; SENSITIVITY; TRAITS; MODEL; NPP; CO2;
D O I
10.1002/gdj3.76
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
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.
引用
收藏
页码:126 / 136
页数:11
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