C. Biernath

发表

Rising Temperatures Reduce Global Wheat Production

Jeffrey W. White, L. A. Hunt, C. Müller, 2015 .

Simulation of stand transpiration based on a xylem water flow model for individual trees

J. Ferrio, C. Biernath, E. Priesack, 2013 .

Evaluation of a ray-tracing canopy light model based on terrestrial laser scans

C. Biernath, S. Gayler, E. Priesack, 2012 .

How do various maize crop models vary in their responses to climate change factors?

James W. Jones, C. Müller, R. Jongschaap, 2014, Global change biology.

Uncertainties in maize crop model responses to climate factors

James W. Jones, C. Müller, R. Jongschaap, 2012 .

Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers

C. Biernath, S. Gayler, E. Priesack, 2011 .

Uncertainty in Simulating Wheat Yields Under Climate Change

James W. Jones, Jeffrey W. White, L. A. Hunt, 2013 .

Multimodel ensembles improve predictions of crop–environment–management interactions

C. Müller, G. Hoogenboom, A. Challinor, 2018, Global change biology.

Global wheat production with 1.5 and 2.0°C above pre‐industrial warming

C. Müller, G. Hoogenboom, M. Bindi, 2019, Global change biology.

Climate change impact and adaptation for wheat protein

C. Müller, G. Hoogenboom, M. Bindi, 2018, Global change biology.

Spatial Sampling of Weather Data for Regional Crop Yield Simulations

J. Elliott, M. Glotter, S. Asseng, 2016 .

Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

J. Yeluripati, M. Kuhnert, M. Bindi, 2016, PloS one.

The uncertainty of crop yield projections is reduced by improved temperature response functions

Jeffrey W. White, L. A. Hunt, C. Müller, 2017, Nature Plants.

Multimodel ensembles of wheat growth: many models are better than one

James W. Jones, Jeffrey W. White, L. A. Hunt, 2015, Global change biology.

Vegetation Growth Models Improve Surface Layer Flux Simulations of a Temperate Grassland

M. Zeeman, A. Gilgen, C. Biernath, 2017 .

Soil Organic Carbon and Nitrogen Feedbacks on Crop Yields under Climate Change

K. Paustian, C. Rosenzweig, A. Ruane, 2018 .

Stomatal conductance and intrinsic water use efficiency in the drought year 2003: a case study of European beech

C. Biernath, E. Priesack, R. Grote, 2016, Trees.

James W. Jones, Jeffrey W. White, C. Müller, 2016 .

Title : Global wheat production with 1 . 5 and 2 . 0 ° C above pre-industrial warming Running head : Global wheat production with 1 . 5 ° C warming Paper type : Primary research article

Fulu, Liujun, C. Müller, 2018 .

Quantifying uncertainties in modeling crop water use under climate change

James W. Jones, Reimund P. Rötter, Kurt Christian Kersebaum, 2013 .

Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles

Reimund P. Rötter, Kurt Christian Kersebaum, Mikhail A. Semenov, 2017 .

The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

Jeffrey W. White, L. A. Hunt, C. Müller, 2018 .

The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Jeffrey W. White, L. A. Hunt, C. Müller, 2017 .

Evaluation of Simulated Transpiration from Maize Plants on Lysimeters

C. Biernath, E. Priesack, Christoph J. Thieme, 2017 .

Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions

Jeffrey W. White, L. A. Hunt, C. Müller, 2017, Nature Plants.

Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions

Jeffrey W. White, L. A. Hunt, C. Müller, 2017, Nature Plants.

How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?

James W. Jones, Amit Kumar Srivastava, L. Ahuja, 2017, European Journal of Agronomy.

Modeling acclimation of leaf photosynthesis to atmospheric CO2 enrichment

P. Hoffmann, C. Biernath, S. Gayler, 2013 .

Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2

James W. Jones, Jeffrey W. White, C. Rosenzweig, 2016 .

James W. Jones, Jeffrey W. White, G. Hoogenboom, 2016, Nature Climate Change.

Root uptake of N-containing and N-free low molecular weight organic substances by maize: a 14C/15N tracer study

Y. Kuzyakov, H. Fischer, C. Biernath, 2008 .

Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops

Holger Hoffmann, Gang Zhao, Reimund P. Rötter, 2016, Environ. Model. Softw..

Multi-wheat-model ensemble responses to interannual climate variability

Reimund P. Rötter, Kurt Christian Kersebaum, Jørgen E. Olesen, 2016, Environ. Model. Softw..

Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions

Jeffrey W. White, L. A. Hunt, G. Hoogenboom, 2017, Nature Plants.

A Statistical Analysis of Three Ensembles of Crop Model Responses to Temperature and CO2 Concentration

James W. Jones, Jeffrey W. White, L. A. Hunt, 2015 .

Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions

Jeffrey W. White, L. A. Hunt, G. Hoogenboom, 2017, Nature Plants.

How do various maize crop models vary in their responses to climate change factors?

James W. Jones, R. Jongschaap, C. Rosenzweig, 2014, Global change biology.