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	Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales
	Liu, Laibao1,2; Peng, Shushi1,2; AghaKouchak, Amir3; Huang, Yuanyuan4; Li, Yan5; Qin, Dahe6; Xie, Aili1,2; Li, Shuangcheng1,2
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
	2018-12-01
卷号	123期号:12页码:3603-3616
关键词	net primary production drought satellite model dynamic global vegetation models semiarid region
ISSN号	2169-8953
DOI	10.1029/2018JG004760
通讯作者	Li, Shuangcheng(scli@urban.pku.edu.cn)
英文摘要	Drought has the potential to significantly decrease net primary production (NPP). However, the drought sensitivity of NPP remains unclear globally. Here we investigated the response of NPP to drought for the period 1982-2011 using NPP derived from satellite models, eight dynamic global vegetation models (DGVMs), and several drought indices. Our results indicate that the sign of drought response of NPP is consistent across satellites and DGVMs globally. Both the model and satellite data show a unimodal distribution of drought sensitivity across climatic gradients and indicate that semiarid regions are the most drought-sensitive areas. In addition, a decreasing drought trend was significantly correlated with an increasing trend in satellite-derived NPP or DGVM-derived NPP globally. However, the DGVM-derived NPP is more sensitive to drought than the satellite-derived NPP over most vegetated land areas and presents a stronger correlation with drought, higher drought sensitivity, and larger slopes between NPP and drought trends. The overresponse of the DGVM-derived NPP to drought relative to the satellite-derived NPP could be attributed to the higher drought sensitivity of the simulated leaf area index and overresponse of the DGVM-derived NPP to the vapor pressure deficit. Overall, large uncertainties remain in the response of NPP to drought and additional long-term observations are required to better represent NPP responses to water stress in DGVM models.
收录类别	SCI
WOS关键词	TERRESTRIAL CARBON-CYCLE ; GROSS PRIMARY PRODUCTIVITY ; CLIMATE EXTREMES ; SEMIARID ECOSYSTEMS ; LAND BIOSPHERE ; LEAF-AREA ; DROUGHT ; CO2 ; WATER ; DYNAMICS
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000455437900008
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2558191
专题	寒区旱区环境与工程研究所
通讯作者	Li, Shuangcheng
作者单位	1.Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China 2.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing, Peoples R China 3.Univ Calif Irvine, Ctr Hydrometeorol & Remote Sensing, Dept Civil & Environm Engn, Irvine, CA USA 4.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 5.Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL USA 6.Chinese Acad Sci, State Key Lab Cryospher Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Liu, Laibao,Peng, Shushi,AghaKouchak, Amir,et al. Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2018,123(12):3603-3616.
APA	Liu, Laibao.,Peng, Shushi.,AghaKouchak, Amir.,Huang, Yuanyuan.,Li, Yan.,...&Li, Shuangcheng.(2018).Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,123(12),3603-3616.
MLA	Liu, Laibao,et al."Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 123.12(2018):3603-3616.

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