气候变化领域集成服务门户(CCPortal): Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales

CCPortal

DOI	10.1029/2018JG004760
	Broad Consistency Between Satellite and Vegetation Model Estimates of Net Primary Productivity Across Global and Regional Scales
	Liu, Laibao; Peng, Shushi; AghaKouchak, Amir; Huang, Yuanyuan; Li, Yan; Qin, Dahe; Xie, Aili; Li, Shuangcheng
发表日期	2018
ISSN	2169-8953
起始页码	3603
结束页码	3616
卷号	123 期号:12
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.
英文关键词	net primary production; drought; satellite model; dynamic global vegetation models; semiarid region
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary
来源期刊	JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158508
作者单位	Li, SC (corresponding author), Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China.; Li, SC (corresponding author), Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing, 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],2018,123(12).
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).
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).