1998/09–2005/07：华中农业大学资源与环境学院，获学士、硕士学位；2008/09–2011/07：中国科学院南京土壤研究所，资源环境与遥感信息专业，获博士学位；2011/07–2016/05：中国科学院南京土壤研究所，助理研究员；2016/06–至今：中国科学院南京土壤研究所，副研究员。

主要从事农田土壤碳循环、土壤有机碳动态模拟、固碳潜力估算及不确定性评价；高光谱遥感与信息技术应用等方面的研究工作。

1.Xu S.X., Zhao Y.C., Wang M.Y., Shi X.Z., Quantification of different forms of iron from intact soil cores of paddy fields with Vis-NIR spectroscopy. Soil Science Society of America Journal, 2018, 82(6): 1497–1511.

2.Xu S.X., Zhao Y.C., Wang M.Y., Shi X.Z., Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy. Geoderma, 2018, 310: 29–43.

3.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.

4.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.

5.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.

6.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.

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., Map scale effects of soil databases on modeling organic carbon dynamics for paddy soils of China. Catena, 2013, 104: 67–76.

8.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.

9.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.

10.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.

11.Xu L.Y., Wang M.Y., Y.T. Tian, Shi X.Z., Y.J. Shi, Q.B. Yu, Xu S.X., X.W. Li, X.Q. Xie, Changes in soil macropores: Superposition of the roles of organic nutrient amendments and the greenhouse pattern in vegetable plantations. Soil Use and Management, 2019.1–9.

12.Xu L.Y., Wang M.Y., Shi X.Z., Yu Q.B., Shi S.J., Xu S.X., Sun W.X., Effect of long-term organic fertilization on the soil pore characteristics of greenhouse vegetable fields converted from rice-wheat rotation fields. Science of the Total Environment, 2018, 631–632: 1243–1250.

13.Song Z.S., Seitz S., Zhu P.P., Goebes P., Shi X.Z., Xu S.X., Wang M.Y., Schmidt K., Scholten T., Spatial distribution of LAI and its relationship with throughfall kinetic energy of common tree species in a Chinese subtropical forest plantation. Forest Ecology and Management, 2018, 425: 189–195.

14.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.

15.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.

16.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.

17.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.

18.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.

19.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.

20.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.

21.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.

(1)国家自然科学基金面上项目“典型农田原状土壤剖面有机碳组分与结构的精细定量表征”，2018.01~2021.12。

(2)国家重点研发计划项目“陆地碳循环参数体系构建与碳源汇综合评估”子课题“农田生态系统碳源汇区域分异评估”，2017.07~2020.12。

(3)中国科学院科技科技服务网络计划重点项目“智慧农业核心技术突破与集成示范”子课题“土壤肥力大数据建模”2019.1~2020.6。

(4)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”，2016.01~2018.12。

(5)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”，2014.01~2016.12。

(6)国家科技支撑计划项目“农业生态系统固碳减排技术研发集成与示范”子课题“中国农田土壤固碳潜力”，2013.01~2016.12。

(7)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”2013.06~2015.12。

(8)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”，2011.01~2015.12。