Mojtaba ZERAATPISHEH，男，1985年12月, IRAN （2021-12-29更新）
手机：18567041719； 电子邮件：zeraatpishem@yahoo.com
● educations教育经历：
2014-2017 Ph.D. in Geology-Soil Science, Universiteit Gent, 9000, Gent, Belgium
2012-2017 Ph.D. Soil Genesis, Classification and Land Evaluation (Pedology), Isfahan University of Technology, Isfahan, Iran
2008-2010 M.Sc, Soil Genesis,Classification and Land Evaluation (Pedology), Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
2004-2008 Bachelor in Soil Science, Soil and Water. Islamic Azad University, Shiraz, Iran
● work任职经历：
2018-present: Post-Doctorate Fellowship, Henan University, Henan, China
2018.08 - 2019.11: Assistant Professor; Department of Soil Science, Agricultural and Natural Resources University of Khuzestan, Ahvaz, Iran.
2017.05 - 2018.08: Research Assistant; Isfahan University of Technology, Isfahan, Iran.
2010.10 - 2011.12: Researcher, Gorgan University of Applied Science and Technology. Gorgan, Iran.
● project科研项目：
1. Collaborator: Digital mapping of some soil properties using machine learning methods in an arid region of Khorasan Razavi province. Grant No.: 1/51945:30/11/1398. 2019.10-present
2. Collaborator: Eco-physiological investigation of the bacterial population in the soil with different land uses in Mazandaran Province (A case study: Sari city). Grant No.: T237-96. Genetics and Agricultural Biotechnology Institute of Tabarestan and Sari Agricultural Sciences and Natural Resources University, Sari, Iran. 2017.10-2020.10.
3. Collaborator: Investigation of the effect of land use change on soil microbial status in sari agricultural lands using biological fertility index (case study: Sefevardshorab region). Grant N.: T237-97. Genetics and Agricultural Biotechnology Institute of Tabarestan and Sari Agricultural Sciences and Natural Resources University, Sari, Iran. 2017.10-2020.10.
● paper论文（*标识通讯作者）：
1. Zeraatpisheh, M., Bottega, E.L., Bakhshandeh, E., Owliaie, H.R., Taghizadeh-mehrjardi, R., Kerry, R., Scholten, T., Xu, M. 2022. Spatial variability of soil quality within management zones: homogeneity and purity of delineated zones. Catena 209, 105835. https://doi.org/10.1016/j.catena.2021.105835
2. Zeraatpisheh, M., Garosi, Y., Reza, H., Ayoubi, S., Taghizadeh-mehrjardi, R., Scholten, T., Xu, M., 2022. Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates. Catena 208, 105723. https://doi.org/10.1016/j.catena.2021.105723
3. Zeraatpisheh, M., Ayoubi, S., Mirbagheri, Z., Mosaddeghi, M.R., Xu, M., 2021. Spatial prediction of soil aggregate stability and soil organic carbon in aggregate fractions using machine learning algorithms and environmental variables. Geoderma Reg. 27, e00440. https://doi.org/10.1016/j.geodrs.2021.e00440
4. Naimi, S., Ayoubi, S., Demattê, J.A.M., Zeraatpisheh, M., Amorim, M.T.A., Mello, F.A. de O., 2021. Spatial Prediction of Soil Surface Properties in an Arid Region Using Synthetic Soil Image and Machine Learning. Geocarto International, pp 1–22. https://doi.org/10.1080/10106049.2021.1996639.
5. Naimi, S., Ayoubi, S., Zeraatpisheh, M., Alexandre, J., Dematte, M., 2021. Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity : A Machine Learning-Based Approach. Remote Sens. 13(23), 4825, 1–22. https://doi.org/10.3390/rs13234825
6. Zhang, X., Zeraatpisheh, M., Rahman, M., Wang, S., Xu, M., 2021. Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants : A Case Study of Ningxia Autonomous Region, China. Remote Sens. 1–17.
7. Maleki, S., Karimi, A., Zeraatpisheh, M., Poozeshi, R., 2021. Long-term cultivation effects on soil properties variations in different landforms in an arid region of eastern Iran. Catena 206, 105465. https://doi.org/10.1016/j.catena.2021.105465
8. Ayoubi. S., N. Sadeghi., F. Abbaszadeh Afshar., M. Reza Abdi., Zeraatpisheh, M. J. Rodrigo-Cominof., 2021. Impacts of oak deforestation and rainfed cultivation on soil redistribution processes across hillslopes using 137Cs techniques. Forest Ecosystems 8, 32. https://doi.org/10.1186/s40663-021-00311-1
9. Zeraatpisheh, M., Jafari, A., Bagheri Bodaghabadi, M., Ayoubi, S., Taghizadeh-Mehrjardi, R., Toomanian, N., Kerry, R., Xu, M., 2020. Conventional and digital soil mapping in Iran: Past, present, and future. Catena. 188, 104424. https://doi.org/10.1016/j.catena.2019.104424
10. Zeraatpisheh, M., Bakhshandeh, E., Hosseini, M., Alavi, S.M., 2020. Assessing the effects of deforestation and intensive agriculture on the soil quality through digital soil mapping. Geoderma. 363, 1141391. https://doi.org/10.1016/j.geoderma.2019.114139
11. Zeraatpisheh, M., Bakhshandeh, E., Emadi, M., Li., T., Xu, M., 2020. Integration of PCA and Fuzzy Clustering for Delineation of Soil Management Zones and Cost-Efficiency Analysis in a Citrus Plantation. Sustainability, 12(14), 5809; https://doi.org/10.3390/su12145809
12. Tajik, S., Ayoubi, S., Zeraatpisheh, M., 2020. Digital mapping of soil organic carbon using ensemble learning model in Mollisols of Hyrcanian forests, northern Iran. Geoderma Regional, e00256. https://doi.org/10.1016/j.geodrs.2020.e00256
13. Nabiollahi, K., Heshmat, E., Mosavi, A., Kerry, R., Zeraatpisheh, M., Taghizadeh-Mehrjardi, R., 2020. Assessing the Influence of Soil Quality on Rainfed Wheat Yield. Agriculture 10(10), 469. https://doi.org/10.3390/agriculture10100469
14. Khamesi, A., Khademi, H., Zeraatpisheh, M., 2020. Biomagnetic monitoring of atmospheric heavy metal pollution using pine needles: the case study of Isfahan, Iran. Environmental Science and Pollution Research, 1-12. https://doi.org/10.1007/s11356-020-09247-5
15. Rahman, M.M., Zhang, X., Ahmed, I., Iqbal, Z., Zeraatpisheh, M., Kanzaki, M., Xu, M., 2020. Remote Sensing-Based Mapping of Senescent Leaf C: N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques. Remote Sensing 12(9), 1375. https://doi.org/10.3390/rs12091375
16. Taghizadeh-Mehrjardi, R., Schmidt, K., Amirian-Chakan, A., Rentschler, T., Zeraatpisheh, M., Sarmadian, F., Valavi, R., Davatgar, N., Behrens, T., Scholten, T., 2020. Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space. Remote Sensing 12(7), 1095. https://doi.org/10.3390/rs12071095
17. Zeraatpisheh, M., S. Ayoubi, C. W. Brungard, P. Finke. 2019. Disaggregating and Updating a Legacy Soil Map Using DSMART, Fuzzy c-means and K-means Clustering Algorithms in Central Iran. Geoderma, 340: 249-258. https://doi.org/10.1016/j.geoderma.2019.01.005
18. Zeraatpisheh, M., S. Ayoubi, A. Jafari, S. Tajik P. Finke. 2019. Digital Mapping of Soil Properties Using Multiple Machine Learning in a Semi-arid Region, Central Iran. Geoderma. 338, 445-452. https://doi.org/10.1016/j.geoderma.2018.09.006
19. Zeraatpisheh, M., J. Rodrigo-Comino, M. Sulieman, S. Ayoubi. 2019. Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran. Journal of Arid Land, 1–16. https://doi.org/10.1007/s40333-019-0059-9
20. Feizi, Z., S. Ayoubi, M. R. Mosaddeghi, A. A. Besalatpour, M. Zeraatpisheh, J. Rodrigo-Comino. 2019. A wind tunnel experiment to investigate the effect of polyvinyl acetate, biochar, and bentonite on wind erosion control. Archive of Soil Science and Agronomy, 1-14, https://doi.org/10.1080/03650340.2018.1548765.
21. Rodrigo-Comino, J., A. Keshavarzi, M. Zeraatpisheh, Y. Gyasi-Agyei, A. Cerdà. 2019. Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards. Computers and Electronics in Agriculture, 159: 147-156. https://doi.org/10.1016/j.compag.2019.03.007
22. Tajik, S., S. Ayoubi, M. Shirvani, M. Zeraatpisheh. 2019. Digital mapping of soil invertebrates using environmental attributes in a deciduous forest ecosystem. Geoderma, 353 (2019) 252–263. https://doi.org/10.1016/j.geoderma.2019.07.005
23. Ayoubi, S., P. Abazari, M. Zeraatpisheh. 2018. Soil great groups discrimination using magnetic susceptibility technique in a semi-arid region, central Iran. Arabian Journal of Geoscience, 11:616. https://doi.org/10.1007/s12517-018-3941-4.
24. Khaledian, Y., J. N. Quinton, E. C. Brevik, P. Pereira, M. Zeraatpisheh. 2018. Developing Global Pedotransfer Functions to Estimate Soil Phosphorus. Science of the Total Environment. 644, 1110-1116. https://doi.org/10.1016/j.scitotenv.2018.06.394
25. Hossieni, M., A. R. Movahedi Naeni, A. A. Dehghani, M. Zeraatpisheh. 2018. Modeling of Soil Mechanical Resistance Using Intelligent Methods. Journal of Soil Science and Plant Nutrition. 18 (4), 939-951. http://dx.doi.org/10.4067/S0718-95162018005002702
26. Zeraatpisheh, M., S. Ayoubi, A. Jafari, P. Finke. 2017. Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran. Geomorphology, 285: 186-204 https://doi.org/10.1016/j.geomorph.2017.02.015
