Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland

doi:10.1016/j.agrformet.2018.01.020

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland
	Lei, Lingjie ; Xia, Jianyang 6,7,9; Li, Xiaona 8; Huang, Kun 6,7,9; Zhang, Ang ; Chen, Shiping 1; Weng, Ensheng 2; Luo, Yiqi 3,4; Wan, Shiqiang
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2018
卷号	252 页码:175-191
关键词	Climate change Carbon cycle Ecosystem respiration Manipulative experiment Terrestrial biogeochemical model
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2018.01.020
文献子类	Article
英文摘要	Recent evidences show that terrestrial biogeochemical models have large uncertainty in estimating climate change effect on grassland net ecosystem productivity (NEP), which is defined as the difference between gross ecosystem photosynthesis (GEP) and respiration (ER). It remains unclear that whether GEP or ER limits the model capability to simulate NEP responses to climate change in semiarid grasslands. Given the surrogate CENTURY-type model is widely used for Earth system modeling, we investigated two of them (i.e., DAYCENT and TECO models) and examined which processes dominate their ability to capture the responses of NEP to experimental climate changes in a temperate steppe of northern China. During the simulation from 2006 to 2008, the two models captured the observed mean annual NEP in the control plots when they were validated by the observations from an adjacent eddy-flux tower. However, they failed to capture the treatment effects of experimental warming and increased precipitation on NEP because of the poor estimations of ER responses. DAYCENT model simulated a higher precipitation effect on ER (37.83%) and TECO model overestimated the warming effect on ER by 8.18%. The simulation of treatment effects on ER and therefore NEP can be improved by an optimized parameterization of the water-related decay functions for soil organic carbon (C). The simulated cumulative loss of total ecosystem C stock during 2010-2100 were decreased when the TECO model used experiment-fitted parameters (0.72 kg C m(-2)) instead of using the initial validation with eddy-flux data (0.96 kg C m(-2)). The ecosystem shifted from C sink to source at threshold of 435 mm of annual total precipitation. Our findings indicate that future projection of C cycle in semiarid grasslands could be improved by better understanding of water response of ecosystem respiratory processes.
学科主题	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
电子版国际标准刊号	1873-2240
出版地	AMSTERDAM
WOS关键词	MODEL-DATA SYNTHESIS ; SOIL CO2 EFFLUX ; CLIMATE-CHANGE ; CARBON-CYCLE ; TERRESTRIAL ECOSYSTEMS ; TEMPERATURE SENSITIVITY ; PRECIPITATION PULSES ; BIOCHEMICAL-MODEL ; RAINFALL EVENTS ; ATMOSPHERIC CO2
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000427341400017
资助机构	National Key R&D Program of China [2017YFA0604600] ; National Natural Science FoundationNational Natural Science Foundation of China (NSFC) [31430015, 41630528] ; Ministry of Science and Technology [2013CB956300] ; National 1000 Young Talents Program of China
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/20648]
专题	植被与环境变化国家重点实验室
作者单位	1.Southwest Forestry Univ, Yunnan Acad Biodivers, Kunming, Yunnan, Peoples R China 2.Chinese Acad Sci, Inst Bot, Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA 4.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ USA 5.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China 6.East China Normal Univ, Sch Ecol & Environm Sci, Res Ctr Global Change & Ecol Forecasting, Shanghai, Peoples R China 7.East China Normal Univ, Sch Ecol & Environm Sci, Tiantong Natl Stn Forest Ecosyst Res, Shanghai, Peoples R China 8.Inst Ecochongming IEC, 3663 N Zhongshan Rd, Shanghai 200062, Peoples R China 9.Henan Univ, Coll Life Sci, Int Joint Res Lab Global Change Ecol, Kaifeng 475004, Henan, Peoples R China
推荐引用方式 GB/T 7714	Lei, Lingjie,Xia, Jianyang,Li, Xiaona,et al. Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland[J]. AGRICULTURAL AND FOREST METEOROLOGY,2018,252:175-191.
APA	Lei, Lingjie.,Xia, Jianyang.,Li, Xiaona.,Huang, Kun.,Zhang, Ang.,...&Wan, Shiqiang.(2018).Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland.AGRICULTURAL AND FOREST METEOROLOGY,252,175-191.
MLA	Lei, Lingjie,et al."Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland".AGRICULTURAL AND FOREST METEOROLOGY 252(2018):175-191.