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中国科学院南京土壤研究所,获博士学位(2008-2011)
华中农业大学资源与环境学院,获硕士学位(2002-2005)
华中农业大学资源与环境学院,获学士学位(1998-2002)

 

中国科学院南京土壤研究所,助理研究员(2011-2016)

中国科学院南京土壤研究所,副研究员(2016-)

(1) 南京土壤研究所“一三五”计划和领域前沿项目:区域农田作物生物量分配及其对土壤碳汇的贡献研究(编号:ISSASIP1651),2016.01~2018.12;

(2) 国家自然科学基金青年项目:水稻根系生物量及碳氮比的可见-近红外光谱原位反演研究(编号:41301242),2014.01~2016.12;

(3) 国家科技支撑计划课题专题:中国农田土壤固碳潜力(编号:2013BAD11B01),2013.01~2016.12;

(4) 中国科学院“十二五”科学数据库重点项目子课题:中国农田土壤固碳潜力数据资源整编(编号:XXH12504-1-02),2013.06~2015.12;

(5) 中国科学院战略性先导科技专项专题:福建省调查与土壤固碳潜力与速率研究(编号:XDA05050503),2011.01~2015.12;

1. Xu S.X., Zhao Y.C., Shi X.Z., Wang M.Y., Rapid determination of carbon, nitrogen, and phosphorus contents of field crops in China using visible and near-infrared reflectance spectroscopy. Crop Science, 2017, 57: 1–15.

2. Xu S.X., Shi X.Z., Wang M.Y., Zhao Y.C., Determination of rice root density at the field level using visible and near-infrared reflectance spectroscopy. Geoderma, 2016, 267: 174–184.

3. Xu S.X., Shi X.Z., Wang M.Y., Zhao Y.C., Effects of subsetting by parent materials on prediction of soil organic matter content in a hilly area using Vis–NIR spectroscopy. PLoS ONE, 2016, 11(3): e0151536.

4. Qin F.L., Shi X.Z., Xu S.X.*, Yu D.S., Wang D.D., Zonal differences in correlation patterns between soil organic carbon and climate factors at multi-extent. Chinese Geographical Science, 2016, 26(5): 1–9.

5. Xu S.X., Zhao Y.C., Shi X.Z., Yu D.S., Li C.S., Wang S.H., Tan M.Z., Sun W.X., Map scale effects of soil databases on modeling organic carbon dynamics for paddy soils of China. Catena, 2013, 104: 67–76.

6. Xu S.X., Zhao Y.C., Shi X.Z., Yu D.S., Wang S.H., Tan M.Z., Sun W.X., Li C.S., Spatially explicit simulation of soil organic carbon dynamics in China’s paddy soils. Catena, 2012, 92: 113–121.

7. Xu S.X., Zhao Y.C., Shi X.Z., Yu D.S., Li C.S., Wang S.H., Tan M.Z., Sun W.X., Carbon sequestration potential of recommended management practices for paddy soils of China. 1980-2050. Geoderma, 2011, 166(1): 206–213.

8. Xu S.X., Shi X.Z., Zhao Y.C., Yu D.S., Wang S.H., Zhang L.M., Li C.S., Tan M.Z., Modeling carbon dynamics in paddy soils in Jiangsu Province of China with soil databases differing in spatial resolution. Pedosphere, 2011, 21(6): 696–705.

9. Wang M.Y., Xu S.X., Zhao Y.C., Shi X.Z., Climatic effect on soil organic carbon variability as a function of spatial scale. Archives of Agronomy and Soil Science, 2016, http://dx.doi.org/10.1080/03650340.2016.1213812.

10. Qin F.L., Zhao Y.C., Shi X.Z., Xu S.X., Yu D.S., Sensitivity and uncertainty analysis for the DeNitrification–DeComposition model, a case study of modeling soil organic carbon dynamics at a long-term observation site with a rice–bean rotation. Computers and Electronics in Agriculture, 2016, 124: 263–272.

11. Zhang L.M., Yu D.S., Shi X.Z., Xu S.X., Xing S.H., Zhao Y.C., Effects of soil data and simulation unit resolution on quantifying changes of soil organic carbon at regional scale with a biogeochemical process model. PLoS ONE, 2014, 9(2):e88622.

12. Wang M.Y., Shi X.Z., Yu D.S., Xu S.X., Tan M.Z., Sun W.X., Zhao Y.C., Regional differences in the effect of climate and soil texture on soil organic carbon. Pedosphere, 2013, 23(6): 799–807.

13. Zhang L.M., Yu D.S., Shi X.Z., Xu S.X., Wang S.H., Xing S.H., Zhao Y.C., Simulation of soil organic carbon change at paddy soils based on 1:50,000 soil database in the Tai-Lake region, China. Soil & Tillage Research, 2012, 121: 1–9.

14. Wang S.H., Shi X.Z., Zhao Y.C., Weindorf D.C., Yu D.S., Xu S.X., Tan M.Z., Sun W.X., Regional simulation of soil organic carbon dynamics for dry farmland in East China by coupling a 1:500,000 soil database with Century model. Pedosphere, 2011, 21(3): 277–287.

15. Shi X.Z., Yu D.S., Xu S.X., Warner E.D., Wang H.J., Sun W.X., Zhao Y.C., Gong Z.T., Cross-reference for relating Genetic Soil Classification of China with WRB at different scales. Geoderma, 2010, 155: 344–350.

16. Shi X.Z., Yu D.S., Xu S.X., Warner E.D., Petersen G.W., Sun W.X., Zhao Y.C., Easterling W.E., Wang H.J., A WebGIS system for relating genetic soil classification of China to soil taxonomy. Computers & Geosciences, 2010, 36: 768–775.