Bin Wang

发表

Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia

P. Feng, Bin Wang, D. Liu, 2019, Agricultural and Forest Meteorology.

Using multi‐model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia

Bin Wang, D. Liu, Qiang Yu, 2018, International Journal of Climatology.

Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia

P. Feng, Bin Wang, D. Liu, 2020, Environmental Research Letters.

Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia

D. Liu, P. Feng, Bin Wang, 2020 .

Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia

I. J. McGowen, A. Cowie, Bin Wang, 2018 .

Australian wheat production expected to decrease by the late 21st century

G. O'Leary, S. Asseng, Bin Wang, 2018, Global change biology.

Future climate change impacts on grain yield and groundwater use under different cropping systems in the North China Plain

P. Feng, Bin Wang, D. Liu, 2021 .

Future climate impacts on forest growth and implications for carbon sequestration through reforestation in southeast Australia.

A. Cowie, P. Feng, Bin Wang, 2021, Journal of environmental management.

Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios

P. Feng, Bin Wang, D. Liu, 2020 .

Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt

P. Feng, Bin Wang, D. Liu, 2020, Ecological Indicators.

Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming

Bin Wang, D. Liu, Qiang Yu, 2020, Environmental Research Letters.

Climate-associated rice yield change in the Northeast China Plain: A simulation analysis based on CMIP5 multi-model ensemble projection.

Guangsheng Zhou, Bin Wang, D. Liu, 2019, The Science of the total environment.

Impact of climate change on wheat flowering time in eastern Australia

S. Asseng, Bin Wang, D. Liu, 2015 .

Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia

Bin Wang, D. Liu, T. Ramilan, 2015 .

Crop residue incorporation can mitigate negative climate change impacts on crop yield and improve water use efficiency in a semiarid environment

Robert J. Martin, Bin Wang, D. Liu, 2017 .

Modelling future climate change impacts on winter wheat yield and water use: A case study in Guanzhong Plain, northwestern China

P. Feng, Bin Wang, D. Liu, 2020 .

The shifting influence of future water and temperature stress on the optimal flowering period for wheat in Western Australia.

P. Feng, Bin Wang, Chao Chen, 2020, The Science of the total environment.

Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems

J. Evans, Bin Wang, D. Liu, 2018, International Journal of Climatology.

The implication of spatial interpolated climate data on biophysical modelling in agricultural systems

P. Feng, Bin Wang, D. Liu, 2020, International Journal of Climatology.

Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain

P. Feng, Bin Wang, D. Liu, 2020 .

Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia

D. Liu, L. Leslie, Bin Wang, 2020 .

Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China

P. Feng, Bin Wang, D. Liu, 2022, Agricultural Systems.

Effects of different climate downscaling methods on the assessment of climate change impacts on wheat cropping systems

G. O'Leary, Bin Wang, D. Liu, 2017, Climatic Change.

Designing high-yielding wheat crops under late sowing: a case study in southern China

H. Meinke, Bin Wang, D. Liu, 2022, Agronomy for Sustainable Development.

Trends, change points and spatial variability in extreme precipitation events from 1961 to 2017 in China

Linchao Li, Yi Li, D. Liu, 2020, Hydrology Research.

Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern Australia

P. Feng, Bin Wang, Qiang Yu, 2020 .

Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections

P. Feng, Bin Wang, D. Liu, 2022, Journal of Hydrology.

Deficit Irrigation at Pre-Anthesis Can Balance Wheat Yield and Water Use Efficiency under Future Climate Change in North China Plain

P. Feng, Bin Wang, D. Liu, 2022, Biology.

Building social resilience in North Korea can mitigate the impacts of climate change on food security

H. Tian, Chaoqun Lu, S. Pan, 2022, Nature Food.

Individual and Coupled Effects of Future Climate and Land Use Scenarios on Water Balance Components in an Australian Catchment

L. Leslie, Bin Wang, D. Liu, 2022, Atmosphere.

Climate change increases North Korea’s hunger: implications for social resilience

H. Tian, Chaoqun Lu, S. Pan, 2021 .

Soil properties resulting in superior maize yields upon climate warming

P. Feng, Bin Wang, D. Liu, 2022, Agronomy for Sustainable Development.

Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia

Linchao Li, A. Cowie, P. Feng, 2022, Agricultural Systems.

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

Puyu Feng, De Li Liu, Qiang Yu, 2020, Agricultural and Forest Meteorology.

Restoration of Degraded Grassland Significantly Improves Water Storage in Alpine Grasslands in the Qinghai-Tibet Plateau

G. Cao, Yikang Li, Fawei Zhang, 2021, Frontiers in Plant Science.

Crop traits enabling yield gains under more frequent extreme climatic events.

H. Meinke, P. Feng, Bin Wang, 2021, The Science of the total environment.

Future climate change projects positive impacts on sugarcane productivity in southern China.

D. Liu, G. O'Leary, P. Feng, 2018 .

Modelling and mapping soil organic carbon stocks under future climate change in south-eastern Australia

A. Cowie, P. Feng, Bin Wang, 2022, Geoderma.

Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China

Linchao Li, Yi Li, D. Liu, 2021 .

Ecosystem Services under Climate Change Impact Water Infrastructure in a Highly Forested Basin

Bin Wang, D. Liu, Liwei Zhang, 2020, Water.

Late planting has great potential to mitigate the effects of future climate change on Australian rain-fed cotton.

Bin Wang, D. Liu, C. Waters, 2020, The Science of the total environment.

Incorporating grain legumes in cereal-based cropping systems to improve profitability in southern New South Wales, Australia

Bin Wang, D. Liu, Qiang Yu, 2017 .

Future projections of extreme temperature events in different sub-regions of China

Linchao Li, Yi Li, D. Liu, 2019, Atmospheric Research.

Extreme fire weather is the major driver of severe bushfires in southeast Australia.

P. Ciais, A. Cowie, C. Yue, 2021, Science bulletin.

Modelling wheat yield change under CO2 increase, heat and water stress in relation to plant available water capacity in eastern Australia

S. Asseng, Bin Wang, D. Liu, 2017 .

Digital mapping of soil carbon sequestration potential with enhanced vegetation cover over New South Wales, Australia

C. M. Waters, A. Cowie, Bin Wang, 2021, Soil Use and Management.

Designing wheat ideotypes to cope with future changing climate in South-Eastern Australia

P. Feng, Bin Wang, D. Liu, 2019, Agricultural Systems.

Future climate change likely to reduce the Australian plague locust (Chortoicetes terminifera) seasonal outbreaks.

P. Feng, Bin Wang, D. Liu, 2019, The Science of the total environment.

Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble

P. Feng, Bin Wang, D. Liu, 2018, International Journal of Climatology.

High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia.

De Li Liu, Anthony Clark, Annette Cowie, 2018, The Science of the total environment.

Developing machine learning models with multi-source environmental data to predict wheat yield in China

Linchao Li, H. Feng, Guijun Yang, 2022, Comput. Electron. Agric..

Adaptation to climate change through strategic integration of long fallow into cropping system in a dryland Mediterranean-type environment.

Bin Wang, G. Fu, Chao Chen, 2023, The Science of the total environment.

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

Puyu Feng, De Li Liu, Bin Wang, 2019, Agricultural Systems.

Simulation and prediction of nitrous oxide emission by the water and nitrogen management model on the Tibetan plateau

G. Cao, Guoyan Pan, Bin Wang, 2016 .

Cropland carbon stocks driven by soil characteristics, rainfall and elevation.

P. Feng, Bin Wang, K. Hu, 2022, The Science of the total environment.

Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia

Bin Wang, D. Liu, R. Dalal, 2017, Climatic Change.

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

H. Feng, P. Feng, Bin Wang, 2021, Agronomy.

Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date

P. Feng, Bin Wang, D. Liu, 2022, Mitigation and Adaptation Strategies for Global Change.

Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern China

D. Liu, Bin Wang, Qiang Yu, 2018 .

Potential Benefits of Potato Yield at Two Sites of Agro-Pastoral Ecotone in North China Under Future Climate Change

P. Feng, Bin Wang, D. Liu, 2020 .

Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

G. Hoogenboom, H. Meinke, K. Guan, 2023, Nature Communications.

Sources of uncertainty for wheat yield projections under future climate are site-specific

A. Cowie, G. O'Leary, S. Asseng, 2020, Nature Food.

Designing high-yielding wheat crops under late sowing: a case study in southern China

H. Meinke, Bin Wang, D. Liu, 2022, Agronomy for Sustainable Development.

Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes

H. Meinke, Bin Wang, S. Fahad, 2022, Agronomy.

Identifying sources of uncertainty in wheat production projections with consideration of crop climatic suitability under future climate

H. Feng, Bin Wang, D. Liu, 2022, Agricultural and Forest Meteorology.

Modeling the impact of crop rotation with legume on nitrous oxide emissions from rain-fed agricultural systems in Australia under alternative future climate scenarios.

De Li Liu, Bin Wang, Bin Wang, 2018, The Science of the total environment.

Quantifying sources of uncertainty in projected wheat yield changes under climate change in eastern Australia

Bin Wang, D. Liu, C. Waters, 2018, Climatic Change.

Effects of climate trends and variability on wheat yield variability in eastern Australia

S. Asseng, Bin Wang, D. Liu, 2015 .

Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia

A. Huete, Bin Wang, D. Liu, 2023, Agricultural Water Management.

Creating New Near-Surface Air Temperature Datasets to Understand Elevation-Dependent Warming in the Tibetan Plateau

Xihua Yang, Puyu Feng, James Cleverly, 2020, Remote. Sens..

Simulation of Wheat Response to Future Climate Change Based on Coupled Model Inter-Comparison Project Phase 6 Multi-Model Ensemble Projections in the North China Plain

Bin Wang, D. Liu, Deng Xiao, 2022, Frontiers in Plant Science.

Multi-model ensemble projections of future extreme heat stress on rice across southern China

Bin Wang, D. Liu, Qiang Yu, 2018, Theoretical and Applied Climatology.

Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basin

Puyu Feng, De Li Liu, Lei Cheng, 2019, Journal of Hydrology.

Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models

D. Liu, P. Feng, Bin Wang, 2020 .

Increasing dominance of Indian Ocean variability impacts Australian wheat yields

P. Feng, Bin Wang, D. Liu, 2022, Nature Food.

Multi‐model ensemble of CMIP6 projections for future extreme climate stress on wheat in the North China plain

P. Feng, Bin Wang, D. Liu, 2020, International Journal of Climatology.

Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia

L. Alexander, G. Abramowitz, Bin Wang, 2016, Climatic Change.

Spatiotemporal changes in wheat phenology, yield and water use efficiency under the CMIP5 multimodel ensemble projections in eastern Australia

S. Asseng, Bin Wang, D. Liu, 2017 .

Forecasting Monthly Water Deficit Based on Multi-Variable Linear Regression and Random Forest Models

Lei Wang, Yi Li, P. Feng, 2023, Water.

Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change

Linchao Li, K. Siddique, P. Feng, 2023, European Journal of Agronomy.

Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt

Linchao Li, P. Feng, Bin Wang, 2022, Agricultural Systems.

Assessing maize potential to mitigate the adverse effects of future rising temperature and heat stress in China

P. Feng, Bin Wang, D. Liu, 2021, Agricultural and Forest Meteorology.

Projecting Changes in Temperature Extremes in the Han River Basin of China Using Downscaled CMIP5 Multi-Model Ensembles

P. Feng, Bin Wang, D. Liu, 2020, Atmosphere.

Centennial annual rainfall pattern changes show an increasing trend with higher variation over Northern Australia

A. Huete, W. Zhuang, P. Feng, 2022, Journal of Hydrometeorology.

Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt.

P. Feng, Bin Wang, D. Liu, 2020, The Science of the total environment.

Incorporating dynamic factors for improving a GIS‐based solar radiation model

Dongdong Kong, Bin Wang, Xihua Yang, 2020, Trans. GIS.

Synoptic characteristics of heatwave events in Australia during austral summer of 1950/1951–2019/2020

Bin Wang, Jing‐Jia Luo, C. Yuan, 2023, International Journal of Climatology.

Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations

J. Evans, P. Feng, Bin Wang, 2019, Theoretical and Applied Climatology.

Impact of plastic mulching and residue return on maize yield and soil organic carbon storage in irrigated dryland areas under climate change

Bin Wang, K. Siddique, Hao Feng, 2024, Agriculture, Ecosystems & Environment.

The optimization of model ensemble composition and size can enhance the robustness of crop yield projections

Linchao Li, S. Asseng, P. Feng, 2023, Communications Earth & Environment.

Adaptations of potato production to future climate change by optimizing planting date, irrigation and fertilizer in the Agro-Pastoral Ecotone of China

P. Feng, Bin Wang, Huizi Bai, 2024, Climate Risk Management.

Potential Benefits of Potato Yield at Two Sites of Agro-Pastoral Ecotone in North China Under Future Climate Change

P. Feng, Bin Wang, D. Liu, 2020, International Journal of Plant Production.

Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change

Linchao Li, Yi Li, A. Cowie, 2023, Agriculture, Ecosystems & Environment.