Response of Gross Primary Productivity to Drought Time-Scales Across China
文献类型:期刊论文
作者 | Sun, Shaobo1,2,3; Du, Wenli1; Song, Zhaoliang1,2,3; Zhang, Dongbo1; Wu, Xiuchen4; Chen, Baozhang5![]() |
刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
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出版日期 | 2021-04-01 |
卷号 | 126期号:4页码:19 |
关键词 | carbon cycle climate change drought extreme climate events GPP vegetation growth |
ISSN号 | 2169-8953 |
DOI | 10.1029/2020JG005953 |
通讯作者 | Song, Zhaoliang(song@tju.edu.cn) |
英文摘要 | Drought largely affects terrestrial gross primary productivity (GPP) by its duration (i.e., drought time-scales). However, the large-scale impact of drought time-scales on GPP is still not well understood, partly due to limited understanding of ecological processes and difficulties in quantifying drought time-scales. Here, we examined the responses of GPP to drought in China during the last four decades, using state-of-the-art GPP data estimates and a multiscalar drought metric. Most of the GPP data suggested that the time-scales at which drought has the largest influence on annual GPP (dominant drought time-scales) were well related to climate region and vegetation type. The GPP responded to drought more rapidly in arid regions than that in semiarid and subhumid regions, with a mean dominant drought time-scale of 15 and 20 months, respectively; as plants in arid regions can rapidly adapt to water shortage through physiological strategies, while, in semiarid and subhumid regions plants usually can withstand a degree of water deficits. In a humid region, GPP did not rapidly respond to drought, probably because the high soil water availability buffered the effect of drought. In addition, most of the GPP estimates suggested that grasslands and croplands tended to respond to drought at shorter time-scales than that of forests, shrublands, and sparse vegetation. The study highlights the importance of improving the effects of water availability on vegetation activity and further consideration of vegetation adaptability to drought in both remote sensing GPP algorithms and parameterizations of current terrestrial ecosystem models. |
WOS关键词 | PERFORMANCE ; VEGETATION ; ECOSYSTEM ; PLATEAU ; DRIVERS ; IMPACTS ; SPEI |
资助项目 | National Natural Science Foundation of China[41930862] ; National Key R&D Program of China[2018YFA0606001] ; Natural Science Foundation of Tianjin City[20JCQNJC01560] ; Peiyang Young Scholars Program of Tianjin University[2020XRG-0066] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology |
语种 | 英语 |
WOS记录号 | WOS:000645001600001 |
出版者 | AMER GEOPHYSICAL UNION |
资助机构 | National Natural Science Foundation of China ; National Key R&D Program of China ; Natural Science Foundation of Tianjin City ; Peiyang Young Scholars Program of Tianjin University |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/162600] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Song, Zhaoliang |
作者单位 | 1.Tianjin Univ, Sch Earth Syst Sci, Inst Surface Earth Syst Sci, Tianjin, Peoples R China 2.Tianjin Univ, Tianjin Key Lab Earth Crit Zone Sci & Sustainable, Tianjin, Peoples R China 3.Tianjin Univ, Crit Zone Observ Bohai Coastal Reg, Tianjin, Peoples R China 4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Shaobo,Du, Wenli,Song, Zhaoliang,et al. Response of Gross Primary Productivity to Drought Time-Scales Across China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2021,126(4):19. |
APA | Sun, Shaobo.,Du, Wenli.,Song, Zhaoliang.,Zhang, Dongbo.,Wu, Xiuchen.,...&Wu, Yuntao.(2021).Response of Gross Primary Productivity to Drought Time-Scales Across China.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,126(4),19. |
MLA | Sun, Shaobo,et al."Response of Gross Primary Productivity to Drought Time-Scales Across China".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 126.4(2021):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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