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Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale
Hu, Zhongmin1,2,3; Guo, Qun2,3; Li, Shenggong2,3; Piao, Shilong4; Knapp, Alan K.5,6; Ciais, Philippe7; Li, Xinrong8; Yu, Guirui2,3
2018-10-01
Source PublicationECOLOGY LETTERS
ISSN1461-023X
Volume21Issue:10Pages:1457-1466
Corresponding AuthorGuo, Qun(guoq@igsnrr.ac.cn) ; Li, Shenggong(lisg@igsnrr.ac.cn)
AbstractUnderstanding ecosystem dynamics and predicting directional changes in ecosystem in response to global changes are ongoing challenges in ecology. Here we present a framework that links productivity dynamics and ecosystem state transitions based on a spatially continuous dataset of above-ground net primary productivity (ANPP) from the temperate grassland of China. Across a regional precipitation gradient, we quantified spatial patterns in ANPP dynamics (variability, asymmetry and sensitivity to rainfall) and related these to transitions from desert to semi-arid to mesic steppe. We show that these three indices of ANPP dynamics displayed distinct spatial patterns, with peaks signalling transitions between grassland types. Thus, monitoring shifts in ANPP dynamics has the potential for predicting ecosystem state transitions in the future. Current ecosystem models fail to capture these dynamics, highlighting the need to incorporate more nuanced ecological controls of productivity in models to forecast future ecosystem shifts.
KeywordClimate change grassland resilience state transition tipping point variability
DOI10.1111/ele.13126
WOS KeywordEARLY-WARNING SIGNALS ; REGIME SHIFTS ; CATASTROPHIC SHIFTS ; USE EFFICIENCY ; INTERANNUAL VARIABILITY ; GRASSLAND PRODUCTIVITY ; RAINFALL VARIABILITY ; CLIMATE VARIABILITY ; MESIC GRASSLAND ; PRECIPITATION
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFA0604801] ; National Natural Science Foundation of China[31570437] ; National Natural Science Foundation of China[31400425] ; National Natural Science Foundation of China[31420103917] ; Startup Foundation for Talented Scholars in South China Normal University ; Youth Innovation Promotion Association, CAS[2015037] ; Youth Innovation Research Team Project[LENOM2016Q0003]
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; Startup Foundation for Talented Scholars in South China Normal University ; Youth Innovation Promotion Association, CAS ; Youth Innovation Research Team Project
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000444413300001
PublisherWILEY
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52926
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGuo, Qun; Li, Shenggong
Affiliation1.South China Normal Univ, Sch Geog, Shipai Campus, Guangzhou 510631, Guangdong, Peoples R China
2.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
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
4.Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Dept Ecol,Minist Educ, Beijing 100871, Peoples R China
5.Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA
6.Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA
7.Lab Sci Climatet Environm, Gif Sur Yvette, France
8.Chinese Acad Sci, Shapotou Desert Res & Expt Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China
Recommended Citation
GB/T 7714
Hu, Zhongmin,Guo, Qun,Li, Shenggong,et al. Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale[J]. ECOLOGY LETTERS,2018,21(10):1457-1466.
APA Hu, Zhongmin.,Guo, Qun.,Li, Shenggong.,Piao, Shilong.,Knapp, Alan K..,...&Yu, Guirui.(2018).Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale.ECOLOGY LETTERS,21(10),1457-1466.
MLA Hu, Zhongmin,et al."Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale".ECOLOGY LETTERS 21.10(2018):1457-1466.
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