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Environmental Monitoring and Assessment|May 30, 2020
Acceleration of soil salinity accumulation and soil degradation due to greenhouse cultivation: a survey of farmers' practices in ChinaRuiying Wu, Huaiwei Sun, Jie Xue, et al.Scientific Reports|February 1, 2020
Agronomic evaluation of polymer-coated urea and urease and nitrification inhibitors for cotton production under drip-fertigation in a dry climateYanyan Li, Mingfang Hu, Mario Tenuta, et al.International Journal of Environmental Research and Public Health|February 25, 2023
Effects of Human Activities on Evapotranspiration and Its Components in Arid AreasYunfei Liu, Dongwei Gui, Changjun Yin, et al.Environmental Monitoring and Assessment|September 17, 2011
Spectral reflectance properties of major objects in desert oasis: a case study of the Weigan-Kuqa river delta oasis in Xinjiang, ChinaFei Zhang, Tashpolat Tiyip, Jianli Ding, et al.Environmental Monitoring and Assessment|March 15, 2025
Spatial distribution characteristics and risk assessment of heavy metals in soils of Southern Xinjiang oasesXinlong Xu, Yunfei Liu, Qi Liu, et al.Journal of Environmental Management|October 15, 2024
Proactive policies are the key to reversing desertification in the main stream of the Tarim River in the past 30 yearsBochao Cui, Guangyan Wang, Guanghui Wei, et al.Environmental Science and Ecotechnology|September 26, 2022
Influence of surface properties and antecedent environmental conditions on particulate-associated metals in surface runoffZhenyu Wang, Pei Hua, Heng Dai, et al.Environmental Geochemistry and Health|May 20, 2026
Identifying heavy metal sources in extreme-arid oasis soils of Southern Xinjiang: a combined analytical approachXinlong Xu, Yunfei Liu, Dongwei Gui, et al.Environmental Monitoring and Assessment|April 29, 2022
Assessing landscape fragmentation in a desert-oasis region of Northwest China: patterns, driving forces, and policy implications for future land consolidationJie Xue, Dongwei Gui, Fanjiang Zeng, et al.The Science of the Total Environment|January 27, 2024
Automatedly identify dryland threatened species at large scale by using deep learningHaolin Wang, Qi Liu, Dongwei Gui, et al.Pageof 4