[1] Li D, Dorber M, Barbarossa V, et al. Global characterization factors for quantifying the impacts of increasing water temperature on freshwater fish[J]. Ecological Indicators, 2022, 142: 109201.
[2] Li D, Tian P, Shao D, et al. Assessment of water pollution in the Tibetan Plateau with contributions from agricultural and economic sectors: a case study of Lhasa River Basin[J]. Environmental Science and Pollution Research, 2022, 29(14): 20617-20631.
[3] Li D, Tian P, Luo Y, et al. Importance of stopping groundwater irrigation for balancing agriculture and wetland ecosystem. Ecological Indicators, 2021 (127)，107747.
[4] Li D, Tian P, Luo H, et al. Impacts of land use and land cover changes on regional climate in the Lhasa River basin, Tibetan Plateau. Science of The Total Environment, 2020(742), 140570.
[5] Li D, Luo H, Hu T, et al. Identification of the Roles of Climate Factors, Engineering Construction, and Agricultural Practices in Vegetation Dynamics in the Lhasa River Basin, Tibetan Plateau. Remote sensing, 2020, 12(11):1883.
[6] Li D, Chen Y, Hu T, et al. Climate changes in the Lhasa River Basin, Tibetan Plateau: irrigationinduced cooling along with a warming trend. Theoretical and applied climatology, 2020, 140(34).
[7] Li D, Chen J, Luo Y, et al. Short-term daily forecasting of crop evapotranspiration of rice using public weather forecasts. Paddy and water environment, 2018, 16(2).
[8] 李丹,田沛佩,罗玉峰等.西藏“一江两河”耕地生态安全时空格局及障碍诊断.农业机械学报, 2020 (09).
[9] Pengfei Yuan; Dan Li; Kuishuang Feng; Heming Wang; Peng Wang; Jiashuo Li ; Assessing the supply risks of critical metals in China’s low-carbon energy transition, Global Environmental Change, 2024, 86: 102825 ( 本人标注: 共同第一作者 )
论著之外的代表性研究成果和学术奖励：
李丹 ; 吴光星; 罗玉峰; 杨琳; 吴争光; 茆智; 崔远来 ; 基于大数据的灌溉决策制定方法、装置、服务器和介质, 2023-4-28, 中国, ZL 2019 1 1166625.4 (发明专利)
山东省自然科学基金委员会, 山东省自然科学基金青年项目, ZR2023QG076, 生态系统服务视角下山东省集中式风光发电空间布局研究, 2024-01 至 2026-12, 15万元, 在研, 主持
中国博士后科学基金会, 中国博士后科学基金面上项目, 2023M732043, 基于多源数据融合与可解释机器学习的高分辨率相对贫困度量建模与减贫政策研究, 2023-08 至 2025-08, 8万元, 在研, 主持
山东省科学技术厅，山东省博士后创新项目，基于遥感大数据和机器学习的高分辨率相对贫困度量建模与可持续减贫政策研究， 2023-09 至 2024-09.SDCX-RS-202303003，3万元，在研，主持
