Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate
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.
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)