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The Science of the Total Environment
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February 25, 2014
Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates
Xuesong Zhang, Ritvik Sahajpal, David H Manowitz, et al.
Plos One
|
February 6, 2013
Evaluation of three field-based methods for quantifying soil carbon
Roberto C Izaurralde, Charles W Rice, Lucian Wielopolski, et al.
Plos One
|
September 17, 2019
Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble
Christian Folberth, Joshua Elliott, Christoph Müller, et al.
Scientific Data
|
May 10, 2019
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
Christoph Müller, Joshua Elliott, David Kelly, et al.
Global Change Biology
|
October 21, 2014
Multimodel ensembles of wheat growth: many models are better than one
Pierre Martre, Daniel Wallach, Senthold Asseng, et al.
Global Change Biology
|
July 29, 2018
Multimodel ensembles improve predictions of crop-environment-management interactions
Daniel Wallach, Pierre Martre, Bing Liu, et al.
Global Change Biology
|
December 12, 2018
Global wheat production with 1.5 and 2.0°C above pre-industrial warming
Bing Liu, Pierre Martre, Frank Ewert, et al.
Nature Plants
|
July 18, 2017
The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants
|
September 29, 2017
Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants
|
August 4, 2017
Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
The Science of the Total Environment
|
February 25, 2014
Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates
Xuesong Zhang, Ritvik Sahajpal, David H Manowitz, et al.
Plos One
|
February 6, 2013
Evaluation of three field-based methods for quantifying soil carbon
Roberto C Izaurralde, Charles W Rice, Lucian Wielopolski, et al.
Plos One
|
September 17, 2019
Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble
Christian Folberth, Joshua Elliott, Christoph Müller, et al.
Scientific Data
|
May 10, 2019
The Global Gridded Crop Model Intercomparison phase 1 simulation dataset
Christoph Müller, Joshua Elliott, David Kelly, et al.
Global Change Biology
|
October 21, 2014
Multimodel ensembles of wheat growth: many models are better than one
Pierre Martre, Daniel Wallach, Senthold Asseng, et al.
Global Change Biology
|
July 29, 2018
Multimodel ensembles improve predictions of crop-environment-management interactions
Daniel Wallach, Pierre Martre, Bing Liu, et al.
Global Change Biology
|
December 12, 2018
Global wheat production with 1.5 and 2.0°C above pre-industrial warming
Bing Liu, Pierre Martre, Frank Ewert, et al.
Nature Plants
|
July 18, 2017
The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants
|
September 29, 2017
Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants
|
August 4, 2017
Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions
Enli Wang, Pierre Martre, Zhigan Zhao, et al.
Page
of 2