Shengxiang Xu
Chinese Academy of Sciences
32 Papers
83 Citations
Shengxiang Xu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Soil carbon & Environmental science. The author has an hindex of 11, co-authored 28 publications.
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Papers
Economics- and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands.
Yongcun Zhao,Meiyan Wang,Shuijin Hu,Xudong Zhang,Zhu Ouyang,Gan-Lin Zhang,Biao Huang,Shiwei Zhao,Jinshui Wu,Deti Xie,Bo Zhu,Dongsheng Yu,Xianzhang Pan,Shengxiang Xu,Xuezheng Shi +14 more
TL;DR: The results indicate that cropland SOC sequestration can be achieved through effectively manipulating economic and policy incentives to farmers and offer some guidance for soil C management in many developing countries that are going through the similar economic and social transformations.
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Cross-reference for relating Genetic Soil Classification of China with WRB at different scales
Xuezheng Shi,Dongsheng Yu,Shengxiang Xu,Eric D. Warner,Hao Wang,Weixia Sun,Yongcun Zhao,Zi-Tong Gong +7 more
TL;DR: In this article, a cross-reference of GSCC to the World Reference Base for soil resources (WRB) at different scales is discussed using the database from the Second National Soil Survey of China.
196
Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy
TL;DR: Wang et al. as mentioned in this paper compared four multivariate techniques (principal components regression, PCR; partial least squares regression, PLSR; and support vector machine regression, SVMR) with the aim of rapidly and accurately predicting soil properties, including soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), and total potassium (TK).
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Integrating hyperspectral imaging with machine learning techniques for the high-resolution mapping of soil nitrogen fractions in soil profiles.
TL;DR: It can be concluded that HSI spectroscopy combined with SVMR is suitable for the high-resolution mapping of various soil N fractions in soil profiles and was less sensitive to spectral noise than PLSR.
61
Carbon sequestration potential of recommended management practices for paddy soils of China, 1980–2050
Shengxiang Xu,Xuezheng Shi,Yongcun Zhao,Dongsheng Yu,Changsheng Li,Shihang Wang,Man-Zhi Tan,Weixia Sun +7 more
TL;DR: In this paper, a 1:1,000,000 polygonal soil database was used to estimate how RMPs influence potential soil carbon sequestration of the top 30 cm of Chinese paddy soils and to identify which management practices have the greatest potential to increase soil organic carbon in these soils.
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