Showing results 17 to 35 of 35
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| Issue Date | Title | Author(s) |
| 2022-12-01 | Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia | He, Q; Liu, DL; Wang, B; Li, L; Cowie, A; Simmons, A; Zhou, H; Tian, Q; Li, S; Li, Y; Liu, K; Yan, H; Harrison, MT; Feng, P; Waters, C; Li, GD; de Voil, P; Yu, Q |
| 2019-06-01 | Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basin | Zhang, H; Wang, B; Liu, DL; Zhang, M; Feng, P; Cheng, L; Yu, Q; Eamus, D |
| 2018-04-01 | Impacts of rainfall extremes on wheat yield in semi-arid cropping systems in eastern Australia | Feng, P; Wang, B; Liu, DL; Xing, H; Ji, F; Macadam, I; Ruan, H; Yu, Q |
| 2020-01-01 | Incorporating dynamic factors for improving a GIS-based solar radiation model | Zhang, M; Wang, B; Liu, DL; Liu, J; Zhang, H; Feng, P; Kong, D; Cleverly, J; Yang, X; Yu, Q |
| 2019-09-15 | Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia | Feng, P; Wang, B; Liu, DL; Waters, C; Yu, Q |
| 2020-08-01 | Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia | Feng, P; Wang, B; Liu, DL; Ji, F; Niu, X; Ruan, H; Shi, L; Yu, Q |
| 2019-07-01 | Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia | Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2019-10-01 | Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations | Wang, B; Liu, DL; Evans, JP; Ji, F; Waters, C; Macadam, I; Feng, P; Beyer, K |
| 2023-09-01 | Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change | He, Q; Liu, DL; Wang, B; Cowie, A; Simmons, A; Waters, C; Li, L; Feng, P; Li, Y; Voil, PD; Huete, A; Yu, Q |
| 2021-07-21 | Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China | Xu, F; Wang, B; He, C; Liu, DL; Feng, P; Yao, N; Zhang, R; Xu, S; Xue, J; Feng, H; Yu, Q; He, J |
| 2020-03-03 | Performance of a microalgal-bacterial consortium system for the treatment of dairy-derived liquid digestate and biomass production. | Feng, S; Liu, F; Zhu, S; Feng, P; Wang, Z; Yuan, Z; Shang, C; Chen, H |
| 2019-02-01 | Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble | Feng, P; Liu, DL; Wang, B; Waters, C; Zhang, M; Yu, Q |
| 2020-02-20 | Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs | Yao, N; Li, L; Feng, P; Feng, H; Li Liu, D; Liu, Y; Jiang, K; Hu, X; Li, Y |
| 2020-11-01 | Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models | Shi, L; Feng, P; Wang, B; Liu, DL; Yu, Q |
| 2020-09-15 | Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia | Wang, B; Feng, P; Waters, C; Cleverly, J; Liu, DL; Yu, Q |
| 2022-10-01 | Soil properties resulting in superior maize yields upon climate warming | Feng, P; Wang, B; Harrison, MT; Wang, J; Liu, K; Huang, M; Liu, DL; Yu, Q; Hu, K |
| 2020-11 | Sources of uncertainty for wheat yield projections under future climate are site-specific | Wang, B; Feng, P; Liu, DL; O’Leary, GJ; Macadam, I; Waters, C; Asseng, S; Cowie, A; Jiang, T; Xiao, D; Ruan, H; He, J; Yu, Q |
| 2023-12-01 | The optimization of model ensemble composition and size can enhance the robustness of crop yield projections | Li, L; Wang, B; Feng, P; Jägermeyr, J; Asseng, S; Müller, C; Macadam, I; Liu, DL; Waters, C; Zhang, Y; He, Q; Shi, Y; Chen, S; Guo, X; Li, Y; He, J; Feng, H; Yang, G; Tian, H; Yu, Q |
| 2020-07 | Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. | Feng, P; Wang, B; Luo, J-J; Liu, DL; Waters, C; Ji, F; Ruan, H; Xiao, D; Shi, L; Yu, Q |
