De Li Liu
De Li Liu
Principal Research Scientist
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Cited by
Cited by
Estimation of solar radiation in Australia from rainfall and temperature observations
DL Liu, BJ Scott
Agricultural and Forest Meteorology 106 (1), 41-59, 2001
Adapting agriculture to climate change: a review
MR Anwar, DL Liu, I Macadam, G Kelly
Theoretical and applied climatology 113, 225-245, 2013
Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia
MR Anwar, D Li Liu, R Farquharson, I Macadam, A Abadi, J Finlayson, ...
Agricultural Systems 132, 133-144, 2015
Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
P Feng, B Wang, D Li Liu, Q Yu
Agricultural Systems 173, 303-316, 2019
Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia
DL Liu, H Zuo
Climatic change 115, 629-666, 2012
High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia
B Wang, C Waters, S Orgill, J Gray, A Cowie, A Clark, D Li Liu
Science of the Total Environment 630, 367-378, 2018
Projecting heat-related excess mortality under climate change scenarios in China
J Yang, M Zhou, Z Ren, M Li, B Wang, DL Liu, CQ Ou, P Yin, J Sun, ...
Nature communications 12 (1), 1039, 2021
Biologically active secondary metabolites of barley. II. Phytotoxicity of barley allelochemicals
DL Liu, JV Lovett
Journal of Chemical Ecology 19, 2231-2244, 1993
Spatial interpolation of daily rainfall data for local climate impact assessment over greater Sydney region
X Yang, X Xie, DL Liu, F Ji, L Wang
Advances in Meteorology 2015 (1), 563629, 2015
Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs
N Yao, L Li, P Feng, H Feng, D Li Liu, Y Liu, K Jiang, X Hu, Y Li
Science of the Total Environment 704, 135245, 2020
Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia
B Wang, C Waters, S Orgill, A Cowie, A Clark, D Li Liu, M Simpson, ...
Ecological indicators 88, 425-438, 2018
Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
P Feng, B Wang, D Li Liu, C Waters, Q Yu
Agricultural and Forest Meteorology 275, 100-113, 2019
Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique
P Feng, B Wang, D Li Liu, C Waters, D Xiao, L Shi, Q Yu
Agricultural and Forest Meteorology 285, 107922, 2020
Autotoxicity of wheat (Triticum aestivum L.) as determined by laboratory bioassays
H Wu, J Pratley, D Lemerle, M An, DL Liu
Plant and Soil 296, 85-93, 2007
Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios
D Xiao, D Li Liu, B Wang, P Feng, H Bai, J Tang
Agricultural Water Management 238, 106238, 2020
Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia
H Zhang, B Wang, D Li Liu, M Zhang, LM Leslie, Q Yu
Journal of Hydrology 585, 124822, 2020
Mathematical modeling of allelopathy. III. A model for curve-fitting allelochemical dose responses
DL Liu, M An, IR Johnson, JV Lovett
Nonlinearity in biology, toxicology, medicine 1 (1), 15401420390844456, 2003
Using multi‐model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia
B Wang, L Zheng, DL Liu, F Ji, A Clark, Q Yu
International Journal of Climatology 38 (13), 4891-4902, 2018
Allelopathy, chemical communication, and plant defense
JV Lovett, MY Ryuntyu, DL Liu
Journal of Chemical Ecology 15, 1193-1202, 1989
Impact of climate change on wheat flowering time in eastern Australia
B Wang, D Li Liu, S Asseng, I Macadam, Q Yu
Agricultural and Forest Meteorology 209, 11-21, 2015
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