Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.13126 |
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 | |
发表期刊 | ECOLOGY LETTERS |
ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2018 |
卷号 | 21期号:10页码:1457-1466 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; France |
英文摘要 | Understanding 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. |
英文关键词 | Climate change grassland resilience state transition tipping point variability |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000444413300001 |
WOS关键词 | EARLY-WARNING SIGNALS ; CATASTROPHIC SHIFTS ; REGIME SHIFTS ; INTERANNUAL VARIABILITY ; GRASSLAND PRODUCTIVITY ; RAINFALL VARIABILITY ; USE EFFICIENCY ; PRECIPITATION ; PATTERNS ; SENSITIVITY |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/31209 |
专题 | 资源环境科学 |
作者单位 | 1.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 |
推荐引用方式 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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