His primary scientific interests are in Agronomy, Climate change, Allelopathy, Phenology and Botany. His Agronomy research incorporates elements of Canopy and Soil quality. His research integrates issues of Agriculture, Agricultural productivity, Surface runoff and Greenhouse gas in his study of Climate change.
His Agriculture research integrates issues from Field pea, Crop, Soil type and Crop yield. De Li Liu interconnects Yield, Carbon dioxide in Earth's atmosphere, Growing season and Sowing in the investigation of issues within Agricultural productivity. His Allelopathy research is multidisciplinary, incorporating perspectives in Ecology, Bioassay and Radicle, Seedling.
Climate change, Agronomy, Agriculture, Yield and Evapotranspiration are his primary areas of study. His Climate change study integrates concerns from other disciplines, such as Cropping, Soil water, Agricultural productivity and Crop yield. De Li Liu usually deals with Crop yield and limits it to topics linked to Precipitation and Spatial variability.
Agronomy is closely attributed to Soil carbon in his research. His work deals with themes such as Random forest, Effects of global warming, Linear regression and Sowing, which intersect with Yield. His studies examine the connections between Evapotranspiration and genetics, as well as such issues in Water-use efficiency, with regards to Water use and Water balance.
De Li Liu mainly focuses on Climate change, Evapotranspiration, Representative Concentration Pathways, Yield and Agronomy. The concepts of his Climate change study are interwoven with issues in Water use and Agriculture, Agricultural productivity. His Agriculture research is multidisciplinary, incorporating elements of Interpolation and Soil water balance.
The various areas that he examines in his Evapotranspiration study include Arid, Empirical orthogonal functions and Precipitation. He combines subjects such as Machine learning and Sowing with his study of Yield. In his research on the topic of Agronomy, Crop is strongly related with Soil water.
De Li Liu mostly deals with Climate change, Precipitation, Evapotranspiration, Crop yield and Yield. His Climate change research focuses on Representative Concentration Pathways in particular. His studies in Evapotranspiration integrate themes in fields like General Circulation Model, Drought risk and Regression.
His Crop yield research incorporates themes from Regression analysis, Statistics, Linear regression, Random forest and Normalized Difference Vegetation Index. His work in Yield tackles topics such as Growing season which are related to areas like Permanent wilting point. His studies deal with areas such as Arid and Soil water as well as Agronomy.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Estimation of solar radiation in Australia from rainfall and temperature observations
D.L Liu;B.J Scott.
Agricultural and Forest Meteorology (2001)
Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia
Muhuddin Rajin Anwar;Muhuddin Rajin Anwar;De Li Liu;De Li Liu;Robert Farquharson;Ian Macadam.
Agricultural Systems (2015)
Adapting agriculture to climate change: a review
Muhuddin Rajin Anwar;De Li Liu;Ian Macadam;Georgina Kelly.
Theoretical and Applied Climatology (2013)
Biologically active secondary metabolites of barley. II. Phytotoxicity of barley allelochemicals.
D. L. Liu;J. V. Lovett.
Journal of Chemical Ecology (1993)
Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia
De Li Liu;Heping Zuo.
Climatic Change (2012)
Autotoxicity of wheat ( Triticum aestivum L.) as determined by laboratory bioassays
Hanwen Wu;Jim Pratley;Deirdre Lemerle;Min An.
Plant and Soil (2007)
Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
Puyu Feng;Puyu Feng;Bin Wang;De Li Liu;De Li Liu;Qiang Yu;Qiang Yu;Qiang Yu.
Agricultural Systems (2019)
Biologically active secondary metabolites of barley. I. Developing techniques and assessing allelopathy in barley.
D. L. Liu;J. V. Lovett.
Journal of Chemical Ecology (1993)
Mathematical Modeling of Allelopathy. III. A Model for Curve-Fitting Allelochemical Dose Responses
De Li Liu;Min An;Ian R. Johnson;John V. Lovett.
Nonlinearity in Biology, Toxicology, and Medicine (2003)
High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia
Bin Wang;Cathy Waters;Susan Orgill;Jonathan Gray.
Science of The Total Environment (2018)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Chinese Academy of Sciences
University of Hawaii at Manoa
University of New England
University of Melbourne
Chinese Academy of Sciences
Technical University of Munich
James Cook University
Monash University
University of Queensland
University of New South Wales
Institute of Natural Resources and Agrobiology of Seville (IRNAS)
Publications: 9
Daegu Gyeongbuk Institute of Science and Technology
University of Münster
University of Twente
Trinity College Dublin
University of Teacher Education Fukuoka
North Carolina State University
Agricultural Research Service
University of Georgia
Commonwealth Scientific and Industrial Research Organisation
University of California, San Diego
University of Calgary
Autonomous University of Barcelona
Brown University
University of Sydney
University of Newcastle Australia
University of Copenhagen