globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13592
论文题名:
Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate
作者: Liang W.; Lü Y.; Zhang W.; Li S.; Jin Z.; Ciais P.; Fu B.; Wang S.; Yan J.; Li J.; Su H.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2017
卷: 23, 期:7
起始页码: 2720
结束页码: 2742
语种: 英语
英文关键词: arid/semiarid ecosystems ; climate control ; data-driven method ; global grassland GPP ; grazing and cutting ; model tree ensembles ; spatiotemporal patterns
英文摘要: Grassland ecosystems act as a crucial role in the global carbon cycle and provide vital ecosystem services for many species. However, these low-productivity and water-limited ecosystems are sensitive and vulnerable to climate perturbations and human intervention, the latter of which is often not considered due to lack of spatial information regarding the grassland management. Here by the application of a model tree ensemble (MTE-GRASS) trained on local eddy covariance data and using as predictors gridded climate and management intensity field (grazing and cutting), we first provide an estimate of global grassland gross primary production (GPP). GPP from our study compares well (modeling efficiency NSE = 0.85 spatial; NSE between 0.69 and 0.94 interannual) with that from flux measurement. Global grassland GPP was on average 11 ± 0.31 Pg C yr−1 and exhibited significantly increasing trend at both annual and seasonal scales, with an annual increase of 0.023 Pg C (0.2%) from 1982 to 2011. Meanwhile, we found that at both annual and seasonal scale, the trend (except for northern summer) and interannual variability of the GPP are primarily driven by arid/semiarid ecosystems, the latter of which is due to the larger variation in precipitation. Grasslands in arid/semiarid regions have a stronger (33 g C m−2 yr−1/100 mm) and faster (0- to 1-month time lag) response to precipitation than those in other regions. Although globally spatial gradients (71%) and interannual changes (51%) in GPP were mainly driven by precipitation, where most regions with arid/semiarid climate zone, temperature and radiation together shared half of GPP variability, which is mainly distributed in the high-latitude or cold regions. Our findings and the results of other studies suggest the overwhelming importance of arid/semiarid regions as a control on grassland ecosystems carbon cycle. Similarly, under the projected future climate change, grassland ecosystems in these regions will be potentially greatly influenced. © 2017 John Wiley & Sons Ltd
资助项目: This work was funded by Key Research and Development Program of China (2016YFC0501601), National Natural Science Foundation of China (41571130083,41390464), National Special Program on Basic Science and Technology Research of China (2014FY210100), and Fundamental Research Funds for the Central Universities (GK201603072). We greatly thank Jinfeng Chang, Martin Jung, and Zaichun Zhu, who provided data on grassland management intensity, GPP, and fPAR data, respectively. We also thank Shushi Peng for helpful discussion on the manuscript. Thanks are also given to three anonymous reviewers and editor for their constructive comments. The authors declare no conflict of interest.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60912
Appears in Collections:影响、适应和脆弱性

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作者单位: College of Tourism and Environment, Shaanxi Normal University, Xi'an, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; Shaanxi Key Laboratory of Tourism Informatics, Xi'an, China; Research Center for Geographical Environment Change and Sustainable Development, Shaanxi Normal University, Xi'an, China; LSCE, UMR CEA-CNRS, Bat. 709, CE, L'Orme des Merisiers, Gif-sur-Yvette, France

Recommended Citation:
Liang W.,Lü Y.,Zhang W.,et al. Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate[J]. Global Change Biology,2017-01-01,23(7)
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