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康迪
2023-05-15 19:40
  • 康迪
  • 康迪 - 讲师-西华师范大学-生命科学学院-个人资料

近期热点

资料介绍

个人简历


教育背景
2009 理学学士 内江师范学院化学与生命科学系
2013 理学硕士 西北农林科技大学林学院
2017 理学博士 西北农林科技大学林学院
工作经历
2017.06-西华师范大学生命科学学院任教

研究领域


恢复生态学、植物生态学、生态系统生态学

近期论文


1.Kang D, Guo YX, Ren CJ, et al. Population structure and spatial pattern of main tree species in secondary betula platyphylla forest in Ziwuling Mountains, China[J]. Scientific reports, 2014, 4.(SCI收录)
2.Kang D, Deng J, Qin XW, et al. Effect of competition on spatial patterns of oak forests on the Chinese Loess Plateau[J]. Journal of Arid Land, 2017, 9(1): 122-131.(SCI收录)
3.Zou S,Kang D*. Relationship between Anaerobic Digestion Characteristics and Biogas Production under Composting Pretreatment [J]. Renewable Energy, 2018, 125:485-494.(SCI收录)
4. Zhao FZ,Kang D, Han XH, et al. Soil stoichiometry and carbon storage in long-term afforestation soil affected by understory vegetation diversity[J]. Ecological Engineering, 2015, 74: 415-422.(SCI收录)
5. Ren CJ,Kang D, Wu JP, et al. Temporal variation in soil enzyme activities after afforestation in the Loess Plateau, China[J]. Geoderma, 2016, 282: 103-111.(SCI收录)
6. Ren CJ, Zhao FZ,Kang D, et al. Linkages of C: N: P stoichiometry and bacterial community in soil following afforestation of former farmland[J]. Forest Ecology and Management, 2016, 376: 59-66.(SCI收录)
7. Ren CJ, Sun PS,Kang D, et al. Responsiveness of soil nitrogen fractions and bacterial communities to afforestation in the Loess Hilly Region (LHR) of China[J]. Scientific reports, 2016, 6.(SCI收录)
8. Guo YX, Li G, Hu YN,Kang Det al. Regeneration of Betula albosinensis in strip clearcut and uncut forests of the Qinling Mountains in China[J]. Plos one, 2013, 8(3): e59375.(SCI收录)
9. Fazhu Z, Jiao S, Chengjie R,Di Ket al. Land use change influences soil C, N, and P stoichiometry under ‘Grain-to-Green Program’in China[J]. Scientific reports, 2015, 5.(SCI收录)
10. Li CZ, Zhao LH, Sun PS,Kang Det al. Deep Soil C, N, and P stocks and stoichiometry in response to land use patterns in the Loess Hilly Region of China[J]. PloS one, 2016, 11(7): e0159075.(SCI收录)

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