Associate professor, Northwest A&F University, China
🌟 Haijing Shi is a dedicated Associate Professor at the Institute of Soil and Water Conservation, Northwest A&F University. With a strong academic background and extensive research in soil and water conservation, GIS-based ecological modeling, and climate change, Dr. Shi has significantly contributed to environmental science. She has secured numerous research grants and published influential papers, establishing herself as a leader in her field.
Profile
ORCID
Education
🎓 Haijing Shi holds a Ph.D. in Physical Geography from the University of New South Wales, Australia (2009-2013). She also earned an M.S. in Land Resources & Application of GIS&RS from Northwest A&F University (2005-2008) and a B.S. in Soil and Water Conservation from the same institution (2001-2004).
Experience
🔬 Haijing Shi has been an Associate Professor at the Institute of Soil and Water Conservation, Northwest A&F University since 2018. Previously, she served as an Assistant Professor at the same institute from 2014 to 2017. Her professional journey is marked by her commitment to advancing research in soil and water conservation and environmental sustainability.
Research Interests
🌍 Haijing Shi’s research interests include soil and water conservation, data mining, GIS-based ecological modeling, and studying environmental heterogeneity and climate change. Her work focuses on understanding and mitigating the impacts of climate change and human activities on ecosystems.
Awards
🏆 Dr. Haijing Shi has been awarded several prestigious research grants, including the High-end Foreign Experts Recruitment Plan of China, the National R&D Infrastructure and Facility Development Program of China, and the CAS “Light of West China” program. These accolades recognize her contributions to high-resolution surface process data mining and the spatial classification of topography-induced microhabitats.
Publications
Using the response-effect trait framework to disentangle the effects of climate change and human activities on the provision of ecosystem services by vegetation
A new high-resolution global topographic factor dataset calculated based on SRTM
Estimating the CSLE Biological Conservation Measures’ B-Factor Using Google Earth’s Engine
A digital close range photogrammetric observation system for measuring soil surface morphology during ongoing rainfall
A comparative experimental study of rill erosion on loess soil and clay loam soil based on a digital close-range photogrammetry technology