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Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors
Zhang, Weikang1; Yu, Guirui1; Chen, Zhi1; Zhang, Leiming1; Wang, Qiufeng1; Zhang, Yangjian1; He, Honglin1; Han, Lang1; Chen, Shiping2; Han, Shijie3; Li, Yingnian4; Sha, Liqing5; Shi, Peili; Wang, Huimin; Wang, Yanfen6; Xiang, Wenhua7; Yan, Junhua8; Zhang, Yiping5; Zona, Donatella9; Arain, M. Altaf; Maximov, Trofim12; Oechel, Walter9; Kosugi, Yoshiko13
2020
发表期刊AGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
卷号280
摘要The seasonal dynamic of gross primary productivity (GPP) has influences on the annual GPP (AGPP) of the terrestrial ecosystem. However, the spatiotemporal variation of the seasonal dynamic of GPP and its effects on spatial and temporal variations of AGPP are still poorly addressed. In this study, we developed a parameter, alpha(GPP), defined as the ratio of mean daily GPP (GPP(mean)) to the maximum daily GPP (GPP(max)) during the growing season, to analyze the seasonal dynamic of GPP based on Weibull function. The alpha(GPP) was a comprehensive parameter characterizing the shape, scale, and location of the seasonal dynamic curve of GPP. We calculated aGPP based on the data of GPP for 942 site-years from 115 flux sites in the Northern Hemisphere, and analyzed the spatiotemporal variation and influencing factors of the aGPP. We found that the aGPP of terrestrial ecosystems in the Northern Hemisphere ranged from 0.47 to 0.85, with an average of 0.62 +/- 0.06. The aGPP varied significantly both among different climatic zones and different ecosystem types. The alpha(GPP) was stable on the interannual scale, while decreased as latitude increased, which was consistent across different ecosystem types. The spatial pattern of the seasonal dynamic of astronomical radiation was the dominating factor of the spatial pattern of alpha(GPP), that was, the spatial pattern of the seasonal dynamic of astronomical radiation determined that of the seasonal dynamic of GPP by controlling that of seasonal dynamics of total radiation and temperature. In addition, we assessed the spatial variation of AGPP preliminarily based on alpha(GPP) and other seasonal dynamic parameters of GPP, indicating that the understanding of the spatiotemporal variation of alpha(GPP) could provide a new approach for studying the spatial and temporal variations of AGPP and estimating AGPP based on the seasonal dynamic of GPP.
关键词Annual gross primary productivity Attribute parameter of seasonal dynamic Maximum daily gross primary productivity Mean daily gross primary productivity Spatiotemporal variation
学科领域Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
DOI10.1016/j.agrformet.2019.107774
收录类别SCI
语种英语
WOS关键词CARBON-DIOXIDE EXCHANGE ; NET ECOSYSTEM EXCHANGE ; ENERGY FLUX MEASUREMENTS ; GREENHOUSE-GAS BALANCE ; BLACK SPRUCE FOREST ; EDDY-COVARIANCE ; INTERANNUAL VARIABILITY ; CO2 EXCHANGE ; WATER-VAPOR ; DECIDUOUS FOREST
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000525807000011
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN1873-2240
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41671045, 31600347] ; National Key Research and Development Program of China [2016YFA0600104, 2016YFA0600103] ; CDIAC and ICOS Ecosystem Thematic Center ; OzFlux office ; ChinaFlux office ; AsiaFlux office ; Natural Environment Research CouncilUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/P002552/1] Funding Source: researchfish
作者邮箱yugr@igsnrr.ac.cn ; chenz@igsnrr.ac.cn
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/21816
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
4.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
5.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810001, Qinghai, Peoples R China
6.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbcmna Trop Bot Garden, Menglun 666303, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
8.Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Hunan, Peoples R China
9.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou 510650, Peoples R China
10.San Diego State Univ, Global Change Res Grp, San Diego, CA 92182 USA
11.McMaster Univ, Sch Geog & Earth Sci, 1280 Main St West, Hamilton, ON L8S 4K1, Canada
12.McMaster Ctr Climate Change, 1280 Main St West, Hamilton, ON L8S 4K1, Canada
13.Russian Acad Sci, Inst Biol Problems Cryolithozone, Siberian Branch, 41 Lenin Ave, Yakutsk 677980, Russia
14.Kyoto Univ, Grad Sch Agr, Lab Forest Hydrol, Kyoto, Kyoto 6068502, Japan
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Zhang, Weikang,Yu, Guirui,Chen, Zhi,et al. Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors[J]. AGRICULTURAL AND FOREST METEOROLOGY,2020,280.
APA Zhang, Weikang.,Yu, Guirui.,Chen, Zhi.,Zhang, Leiming.,Wang, Qiufeng.,...&Kosugi, Yoshiko.(2020).Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors.AGRICULTURAL AND FOREST METEOROLOGY,280.
MLA Zhang, Weikang,et al."Attribute parameter characterized the seasonal variation of gross primary productivity (alpha(GPP)): Spatiotemporal variation and influencing factors".AGRICULTURAL AND FOREST METEOROLOGY 280(2020).
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