NWIPB OpenIR
Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China
Zhu, Xian-Jin1; Yu, Gui-Rui1; Wang, Qiu-Feng1; Gao, Yan-Ni2; He, Hong-Lin1; Zheng, Han1,3; Chen, Zhi1,3; Shi, Pei-Li1; Zhao, Liang4; Li, Ying-Nian4; Wang, Yan-Fen3; Zhang, Yi-Ping5; Yan, Jun-Hua6; Wang, Hui-Min1; Zhao, Feng-Hua1; Zhang, Jun-Hui7
2016-03-01
发表期刊ECOLOGICAL INDICATORS
卷号62页码:174-181
文章类型Article
摘要Analyzing the approaches that climatic factors affect the spatial variation of annual gross primary productivity (GPP(yr)) would improve our understanding on its spatial pattern. Based on network eddy covariance measurements and published data in literature, we separated GPP(yr) into radiation use efficiency (RUE) and annual absorbed photosynthesis active radiation (APAR(yr)), where APAR(yr) can be regarded as the product of the fraction of absorbed annual photosynthesis active radiation (FPAR(yr)) and annual PAR (PAR(yr)). Given that PAR(yr) affects the spatial variation of GPP(yr) directly through itself, we investigated factors affecting the spatial variations of RUE and FPAR(yr), to reveal how climatic factors affect the spatial variation of GPP(yr). Results suggest that the spatial variation of RUE was directly affected by annual mean air temperature (MAT) and annual mean CO2 mass concentration (rho(cyr)). The increasing MAT and rho(cyr), directly enhanced RUE. The increasing annual precipitation (MAP) directly prompted FPAR(yr). Therefore, MAT and rho(cyr) affected the spatial variation of GPP(yr) through altering RUE while the effect of MAP was achieved through altering FPAR(yr). Our study could also provide an alternative way for regional GPP(yr) assessment. (C) 2015 Elsevier Ltd. All rights reserved.
关键词Gross Primary Productivity Eddy Covariance Annual Mean Air Temperature Annual Precipitation Carbon Cycle Terrestrial Ecosystems Radiation Use Efficiency Co2 Mass Concentration
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.ecolind.2015.11.028
关键词[WOS]CARBON-DIOXIDE EXCHANGE ; LIGHT USE EFFICIENCY ; QINGHAI-TIBETAN PLATEAU ; NET PRIMARY PRODUCTION ; EDDY COVARIANCE DATA ; ALPINE MEADOW ; CO2 EXCHANGE ; GRASSLAND ECOSYSTEMS ; FOREST ECOSYSTEM ; INNER-MONGOLIA
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(31420103917 ; CAS Strategic Priority Research Program(XDA05050601) ; National Key Research and Development Program(2010CB833504) ; 31500390 ; 31290221 ; 41501381)
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS记录号WOS:000370454600017
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/5781
专题中国科学院西北高原生物研究所
作者单位1.Chinese Acad Sci, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China
5.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Menglun 666303, Peoples R China
6.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China
7.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
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GB/T 7714
Zhu, Xian-Jin,Yu, Gui-Rui,Wang, Qiu-Feng,et al. Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China[J]. ECOLOGICAL INDICATORS,2016,62:174-181.
APA Zhu, Xian-Jin.,Yu, Gui-Rui.,Wang, Qiu-Feng.,Gao, Yan-Ni.,He, Hong-Lin.,...&Zhang, Jun-Hui.(2016).Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China.ECOLOGICAL INDICATORS,62,174-181.
MLA Zhu, Xian-Jin,et al."Approaches of climate factors affecting the spatial variation of annual gross primary productivity among terrestrial ecosystems in China".ECOLOGICAL INDICATORS 62(2016):174-181.
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