Прати
Yu Shi
Yu Shi
Верификована је имејл адреса на pku.edu.cn
Наслов
Навело
Навело
Година
Attribution of climate and human activities to vegetation change in China using machine learning techniques
Y Shi, N Jin, X Ma, B Wu, Q He, C Yue, Q Yu
Agricultural and Forest Meteorology 294, 108146, 2020
1312020
Increased nitrous oxide emissions from global lakes and reservoirs since the pre-industrial era
Y Li, H Tian, Y Yao, H Shi, Z Bian, Y Shi, S Wang, T Maavara, ...
Nature Communications 15 (1), 942, 2024
232024
Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change
L Li, Y Zhang, B Wang, P Feng, Q He, Y Shi, K Liu, MT Harrison, D Li Liu, ...
European Journal of Agronomy 149, 126917, 2023
182023
The optimization of model ensemble composition and size can enhance the robustness of crop yield projections
L Li, B Wang, P Feng, J Jägermeyr, S Asseng, C Müller, I Macadam, ...
Communications Earth & Environment 4 (1), 362, 2023
162023
A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability
Q He, D Li Liu, B Wang, Z Wang, A Cowie, A Simmons, Z Xu, L Li, Y Shi, ...
Resources, Conservation and Recycling 203, 107428, 2024
152024
Building social resilience in North Korea can mitigate the impacts of climate change on food security
Y Shi, Y Zhang, B Wu, B Wang, L Li, H Shi, N Jin, DL Liu, R Miao, X Lu, ...
Nature Food 3 (7), 499-511, 2022
122022
Spatial and temporal patterns of agricultural drought in China during 1960–2020 characterized by use of the crop water deficit Abnormal Index
N Jin, Y Shi, W Niu, L He
Journal of Hydrology 627, 130454, 2023
82023
Relationship of population migration, crop production pattern, and socioeconomic development: evidence from the early 21st century
Y Zhang, J Zhao, Y Yan, Y Shi, Q Yu
Environmental Research Letters 16 (7), 074045, 2021
52021
Monitoring of Cropland Abandonment and Land Reclamation in the Farming–Pastoral Zone of Northern China
J Ye, Y Hu, Z Feng, L Zhen, Y Shi, Q Tian, Y Zhang
Remote Sensing 16 (6), 1089, 2024
32024
Predicting rice productivity for ground data-sparse regions: A transferable framework and its application to North Korea
Y Shi, L Li, B Wu, Y Zhang, B Wang, W Niu, L He, N Jin, S Pan, H Tian, ...
Science of the Total Environment 946, 174227, 2024
22024
Optimizing tillage practice based on water supply during the growing season in wheat and maize production in northern China
B Wu, D Ma, Y Shi, G Zuo, F Chang, M Sun, L Yin, S Wang
Agricultural Water Management 300, 108923, 2024
22024
Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications
J Tan, G Zhao, Q Tian, L Zheng, X Kang, Q He, Y Shi, B Chen, D Wu, ...
Agricultural and Forest Meteorology 356, 110167, 2024
12024
Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change
L Li, Q He, MT Harrison, Y Shi, P Feng, B Wang, Y Zhang, Y Li, D Li Liu, ...
Resources, Environment and Sustainability 19, 100185, 2025
2025
Impacts of “One Household One Plot” and “One Village Group One Plot” fragmentation consolidation models on cultivated land use transition from perspective of human-land system
W Niu, L Luo, Y Shi, C Chai, H Wang, Q Tian, Y Jin, X Kong, Q Yu, L Ren, ...
Habitat International 156, 103252, 2025
2025
Optimizing cover crop practices as a sustainable solution for global agroecosystem services
T Qiu, Y Shi, J Peñuelas, J Liu, Q Cui, J Sardans, F Zhou, L Xia, W Yan, ...
Nature Communications 15 (1), 1-14, 2024
2024
Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change
M Harrison, L Li, Y Zhang, B Wang, P Feng, Q He, Y Shi, K Liu, DL Liu, ...
University of Tasmania, 2023
2023
Monitoring of Cropland Abandonment and Land Reclamation in the Farming-Pastoral Zone of Northern China: Using Clcd Dataset
Y Hu, J Ye, L Zhen, Y Shi, Q Tian
Lin and Shi, Yu and Tian, Qi, Monitoring of Cropland Abandonment and Land …, 0
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