Claas Nendel spends much of his time researching Climate change, Agronomy, Crop, Crop yield and Yield. His Climate change research incorporates elements of Co2 concentration, Grain yield and Food security. His study in the field of Phenology and Crop rotation also crosses realms of Simulation modeling.
His work in Crop addresses subjects such as Growing season, which are connected to disciplines such as Agricultural engineering. His work in the fields of Crop yield, such as Crop simulation model, intersects with other areas such as Scale. His work investigates the relationship between Yield and topics such as Agriculture that intersect with problems in Global warming.
His primary areas of investigation include Agronomy, Crop, Climate change, Crop yield and Agriculture. In his study, which falls under the umbrella issue of Agronomy, Water use, Algorithm, Fertilizer and Biomass is strongly linked to Soil water. His research in Crop intersects with topics in Winter wheat, Cultivar, Transect and Sowing.
Many of his research projects under Climate change are closely connected to Simulation modeling with Simulation modeling, tying the diverse disciplines of science together. The various areas that he examines in his Crop yield study include Yield, Arable land, Water content and Yield. Claas Nendel interconnects Agroforestry, Agricultural engineering and Greenhouse gas in the investigation of issues within Agriculture.
Claas Nendel mainly focuses on Climate change, Crop, Agronomy, Agriculture and Crop yield. His studies deal with areas such as Boreal, Biomass, Leaf area index, Amazon rainforest and Mediterranean climate as well as Climate change. The concepts of his Crop study are interwoven with issues in Monoculture, Cultivar, Yield, Sowing and Land cover.
His Agronomy study combines topics from a wide range of disciplines, such as Selection, Soil water, Leaching and Food security. The Agriculture study combines topics in areas such as Agroforestry, Library science, Natural resource and Ecosystem services. His study in Crop yield is interdisciplinary in nature, drawing from both Extreme events, Agricultural engineering, Growing season and Water content.
Climate change, Crop, Statistics, Simulation modeling and Food security are his primary areas of study. His Climate change study integrates concerns from other disciplines, such as Ecosystem services, Deforestation, Agronomy and Amazon rainforest. His Agronomy study integrates concerns from other disciplines, such as Cropping and Global change.
His Crop study which covers Yield that intersects with Boreal, Probabilistic logic and Mediterranean climate. His work on Range as part of general Statistics research is frequently linked to Monotonic function, Ensemble average, High skill and Inverse, thereby connecting diverse disciplines of science. His Food security research incorporates elements of Climate resilience, Cultivar and Staple food.
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.
Rising Temperatures Reduce Global Wheat Production
S. Asseng;F. Ewert;P. Martre;P. Martre;R. P. Rötter.
Nature Climate Change (2015)
Uncertainty in Simulating Wheat Yields Under Climate Change
S. Asseng;F. Ewert;C. Rosenzweig;J. W. Jones.
Nature Climate Change (2013)
How Do Various Maize Crop Models Vary in Their Responses to Climate Change Factors
Simona Bassu;Nadine Brisson;Jean Louis Durand;Kenneth Boote.
Global Change Biology (2014)
Multimodel ensembles of wheat growth: many models are better than one
Pierre Martre;Pierre Martre;Daniel Wallach;Senthold Asseng;Frank Ewert.
Global Change Biology (2015)
Similar estimates of temperature impacts on global wheat yield by three independent methods
Bing Liu;Bing Liu;Senthold Asseng;Christoph Müller;Frank Ewert.
Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models
Reimund P. Rötter;Taru Palosuo;Kurt Christian Kersebaum;Carlos Angulo.
Field Crops Research (2012)
Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
Patrick Griffiths;Patrick Griffiths;Claas Nendel;Patrick Hostert.
Remote Sensing of Environment (2019)
Climate change impact and adaptation for wheat protein
Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter.
Global Change Biology (2019)
Crop modelling for integrated assessment of risk to food production from climate change
F. Ewert;R.P. Rötter;M. Bindi;H. Webber.
The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics
C. Nendel;M. Berg;K.C. Kersebaum;W. Mirschel.
Ecological Modelling (2011)
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: