Publications:

• Abadie, L.M. et al. 2016, Using food taxes and subsidies to achieve emission reduction targets in Norway
• Andreoli, V. et al. 2019, Description and Preliminary Simulations with the Italian Vineyard Integrated Numerical Model for Estimating Physiological Values (IVINE)
• Bai, H. & Tao, F. 2017, Sustainable intensification options to improve yield potential and ecoefficiency for rice-wheat rotation system in China
• Bai, H. et al. 2016, Attribution of yield change for rice-wheat rotation system in China to climate change, cultivars and agronomic management in the past three decades
• Baldinger, L. et al. 2015, Making a decision-support system for dairy farmers usable throughout Europe: the challenge of feed evaluation
• Bannink, A. & Dijkstra, J. 2016, Effects of roughage characteristics on enteric methane emission in dairy cows
• Bannink, A. et al. 2016, The contribution of mathematical modeling to understanding dynamic aspects of rumen metabolism
• Baranowski, P. et al. 2015, Hyperspectral and thermal imaging of oilseed rape (Brassica napus) response to fungal species of the genus Alternaria.
• Baranowski, P. et al. 2015, Multifractal analysis of meteorological time series to assess climate impacts
• Bartley, D.J. et al. 2016, Endemic sheep and cattle diseases and greenhouse gas emissions
• Bellocchi, Gianni et al. 2015, Deliberative processes for comprehensive evaluation of agroecological models. A review
• Ben Touhami, H. & Bellocchi, G. 2015, Bayesian calibration of the Pasture Simulation model (PaSim) to simulate European grasslands under water stress
• Bojar, W. et al. 2016, Integrated assessment of crop productivity based on the food supply forecasting
• Brouwer, Floor 2016, SC 2.10 Adapting farming systems to climate variability and change in Europe: the MACSUR experience
• Brylińska, M. et al. 2016, Potato cultivation system affects population structure of Phytophthora infestans
• Calanca, P. 2016, Modelling the impacts of seasonal drought on herbage growth under climate change
• Camacho, C. & Pérez-Barahona, A. 2015, Land use dynamics and the environment
• Cammarano, D. et al. 2016, Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2
• Carabano, M.J. et al. 2016, Modeling heat stress under different environmental conditions
• Cassardo, C. & Andreoli, V. 2019, On the Representativeness of UTOPIA Land Surface Model for Creating a Database of Surface Layer, Vegetation and Soil Variables in Piedmont Vineyards, Italy
• Challinor, A.J. et al. 2017, Improving the use of crop models for risk assessment and climate change adaptation
• Cirillo, V. et al. 2018, Crop-weed interactions in saline environments
• Coles, G.D. et al. 2016, Food and nutritional security requires adequate protein as well as energy, delivered from whole-year crop production
• Conradt, T. et al. 2016, Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis
• Constantin, J. et al. 2019, Management and spatial resolution effects on yield and water balance at regional scale in crop models
• Cortignani, R. & Dono, G. 2018, Agricultural policy and climate change: An integrated assessment of the impacts on an agricultural area of Southern Italy
• Cortignani, R. & Dono, G. 2015, Simulation of the impact of greening measures in an agricultural area of the southern Italy
• D’Ottavio, P. et al. 2018, Trends and approaches in the analysis of ecosystem services provided by grazing systems: A review
• De Swaef, T. et al. 2019, Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality
• Doltra, J. et al. 2015, Modeling nitrous oxide emissions from organic and conventional cereal-based cropping systems under different management, soil and climate factors
• Dono, G. et al. 2016, Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin
• Doro, L. et al. 2017, The Variable Saturation Hydraulic Conductivity Method for Improving Soil Water Content Simulation in EPIC and APEX Models
• Dumont, B. et al. 2016, Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium
• Dumont, B. et al. 2015, Climatic risk assessment to improve nitrogen fertilisation recommendations: A strategic crop model-based approach
• Dumont, B. et al. 2015, Systematic analysis of site-specific yield distributions resulting from nitrogen management and climatic variability interactions
• Elliott, J. et al. 2015, The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0)
• Ewert, F. et al. 2015, Crop modelling for integrated assessment of risk to food production from climate change
• Eyshi Rezaei, E. et al. 2015, Impact of data resolution on heat and drought stress simulated for winter wheat in Germany
• Eyshi Rezaei, E. et al. 2015, Heat stress in cereals: Mechanisms and modelling
• Eza, U. et al. 2015, An open platform to assess vulnerabilities to climate change: An application to agricultural systems
• Fan, F. et al. 2018, Long-term effects of conversion to organic farming on ecosystem services - a model simulation case study and on-farm case study in Denmark
• Fan, F. et al. 2018, Relationship between stoichiometry and ecosystem services: A case study of it organic farming systems
• Fan, F. et al. 2016, Valuation of ecosystem services in organic cereal crop production systems with different management practices in relation to organic matter input
• Faye, B. et al. 2018, Impacts of 1.5 versus 2.0 degrees C on cereal yields in the West African Sudan Savanna
• Ferrise, R. et al. 2015, Monthly-to-seasonal predictions of durum wheat yield over the Mediterranean Basin
• Foskolos, A. & Moorby, J.M. 2016, Lifetime nitrogen use efficiency of dairy cattle: model description and sensitivity analysis
• Foyer, C.H. et al. 2019, Modelling predicts that soybean is poised to dominate crop production across Africa
• Francioni, M. et al. 2019, Seasonal Soil Respiration Dynamics and Carbon-Stock Variations in Mountain Permanent Grasslands Compared to Arable Lands
• Fronzek, S. et al. 2018, Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change
• Gabaldón-Leal, C. et al. 2017, Impact of changes in mean and extreme temperatures caused by climate change on olive flowering in southern Spain
• Gabaldón-Leal, C. et al. 2016, Modelling the impact of heat stress on maize yield formation
• Gabaldón-Leal, C. et al. 2015, Strategies for adapting maize to climate change and extreme temperatures in Andalusia, Spain
• Galán, Elena. et al. 2016, Heat stress effects in milk yield and milk traits at farm scale
• Gobin, A. et al. 2017, Variability in the Water Footprint of Arable Crop Production across European Regions
• Gomara, I. et al. 2020, Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central
• Graß, R. et al. 2015, Simulating dry matter yield of two cropping systems with the simulation model HERMES to evaluate impact of future climate change
• Graversgaard, M. et al. 2018, Opportunities and Barriers for Water Co-Governance - A Critical Analysis of Seven Cases of Diffuse Water Pollution from Agriculture in Europe, Australia and North America
• Grosz, B. et al. 2017, The implication of input data aggregation on up-scaling soil organic carbon changes
• Gutierrez, L. 2017, Impacts of El Niño-Southern Oscillation on the wheat market: A global dynamic analysis.
• Gutierrez, L. et al. 2015, A global vector autoregression model for the analysis of wheat export prices
• Hamidov, A. et al. 2018, Impacts of climate change adaptation options on soil functions: A review of European case-studies
• Heinschink, K. et al. 2016, An index-based production costs system to evaluate costs of adaptation and mitigation in dairy and cattle farming
• Hempel, S. et al. 2016, Integrated modelling to assess optimisation potentials for cattle housing climate
• Hjelkrem, A.-G.R. et al. 2017, Sensitivity analysis and Bayesian calibration for testing robustness of the BASGRA model in different environments
• Hlavinka, P. et al. 2015, Water balance, drought stress and yields for rainfed field crop rotations under present and future conditions in the Czech Republic
• Hoffmann, H. et al. 2016, Impact of spatial soil and climate input data aggregation on regional yield simulations
• Hoffmann, H. et al. 2015, Variability of effects of spatial climate data aggregation on regional yield simulation by crop models
• Hoffmann, M.P. et al. 2017, How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites
• Höglind, M. et al. 2016, Process-based simulation of growth and overwintering of grassland using the BASGRA model
• Holman, I.P. et al. 2019, Improving the representation of adaptation in climate change impact models
• Holman, I.P. et al. 2017, Can we be certain about future land use change in Europe? A multi-scenario, integrated-assessment analysis
• Houska, T. et al. 2017, Rejecting hydro-biogeochemical model structures by multi-criteria evaluation
• Hutchings, N.J. et al. 2018, How do farm models compare when estimating greenhouse gas emissions from dairy cattle production
• Jägermeyr, J. et al. 2015, Water savings potentials of irrigation systems: global simulation of processes and linkages
• Kahiluoto, H. et al. 2019, Decline in climate resilience of European wheat
• Katajajuuri, J.-M. et al. 2015, A holistic, dynamic model to quantify and mitigate the environmental impacts of cattle farming
• Kersebaum, K. et al. 2016, Assessing uncertainties of water footprints using an ensemble of crop growth models on winter wheat
• Kersebaum, K.C. 2015, Effects of climate change and elevated CO2 on wheat water consumption, yield and water footprint in three contrasting regions of Germany
• Kersebaum, K.C. et al. 2015, Analysis and classification of data sets for calibration and validation of agro-ecosystem models
• Kim, D.-G. et al. 2016, Greenhouse gas emissions from natural ecosystems and agricultural lands in sub-Saharan Africa: synthesis of available data and suggestions for further research
• Kim, Y. et al. 2015, Estimation and mitigation of N₂O emission and nitrate leaching from intensive crop cultivation in the Haean catchment, South Korea.
• Kipling, R.P. et al. 2019, To what extent is climate change adaptation a novel challenge for agricultural modellers
• Kipling, R.P. & Özkan Gülzari, Ş. 2016, Stakeholder engagement and the perceptions of researchers: how agricultural modellers view challenges to communication
• Kipling, R.P. et al. 2016, Modeling European ruminant production systems: Facing the challenges of climate change
• Kipling, R.P. et al. 2016, Key challenges and priorities for modelling European grasslands under climate change
• Klosterhalfen, A. et al. 2017, Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands
• Knox, J. et al. 2016, Meta-analysis of climate impacts and uncertainty on crop yields in Europe
• Köchy, M. et al. 2015, Global distribution of soil organic carbon - Part 1: Masses and frequency distributions of SOC stocks for the tropics, permafrost regions, wetlands, and the world
• Kollas, C. et al. 2015, Crop rotation modelling - A European model intercomparison
• Korhonen, P. et al. 2018, Modelling grass yields in northern climates - a comparison of three growth models for timothy
• Kraus, D. et al. 2015, A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems
• Kuhnert, M. et al. 2016, Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands
• Lai, R. et al. 2017, Manure fertilization increases soil respiration and creates a negative carbon budget in a Mediterranean maize (Zea mays L.)-based cropping system
• Lardy, R. et al. 2015, Vuln-Indices: Software to assess vulnerability to climate change
• Leclère, D. & Havlík, P. 2016, Modelling heat stress on livestock: how can we reach long-term and global coverage
• Lehtonen, H. et al. 2018, Higher Crop Yield Levels in the North Savo Region—Means and Challenges Indicated by Farmers and Their Close Stakeholders
• Lehtonen, H. 2015, Evaluating adaptation and the production development of Finnish agriculture in climate and global change
• Lessire, F. et al. 2015, Rumination time, milk yield, milking frequency of grazing dairy cows milked by a mobile automatic system during mild heat stress
• Liu, B. et al. 2019, Global wheat production with 1.5 and 2.0 degrees C above pre-industrial warming
• Lizaso, J.I. et al. 2018, Impact of high temperatures in maize: Phenology and yield components
• Lizaso, J.I. et al. 2017, Modeling the response of maize phenology, kernel set, and yield components to heat stress and heat shock with CSM-IXIM
• Llonch, P. et al. 2015, The need for a quantitative assessment of animal welfare trade-offs in climate change mitigation scenarios
• Lorite, I.J. et al. 2018, Evaluation of olive response and adaptation strategies to climate change under semi-arid conditions
• Luo, K. et al. 2017, Changes in potential evapotranspiration and surface runoff in 1981-2010 and the driving factors in Upper Heihe River Basin in Northwest China
• Luo, K. et al. 2016, Attribution of hydrological change in Heihe River Basin to climate and land use change in the past three decades
• Ma, S. et al. 2015, Regional-scale analysis of carbon and water cycles on managed grassland systems
• Maharjan, G.R. et al. 2018, Approaches to model the impact of tillage implements on soil physical and nutrient properties in different agro-ecosystem models
• Maiorano, A. et al. 2017, Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles
• Mäkinen, H. et al. 2018, Sensitivity of European wheat to extreme weather
• Makowski, D. 2017, A simple Bayesian method for adjusting ensemble of crop model outputs to yield observations
• Makowski, D. et al. 2015, A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration
• Malone, R.W. et al. 2017, Winter rye as a cover crop reduces nitrate loss to subsurface drainage as simulated by HERMES
• Mas, K. et al. 2016, Assessing dairy farm sustainability using whole-farm modelling and life cycle analysis
• Mendes, L.B. et al. 2016, Simulation of enteric methane emissions from individual beef cattle in tropical pastures of improving quality: a case study with the model RUMINANT
• Milford, A.B. & Kildal, C. 2019, Meat Reduction by Force: The Case of “Meatless Monday” in the Norwegian Armed Forces
• Milford, A.B. et al. 2019, Drivers of meat consumption
• Minet, J. et al. 2015, Bayesian inversions of a dynamic vegetation model at four European grassland sites
• Mirschel, W. et al. 2016, Coherent multi-variable field data set of an intensive cropping system for agro-ecosystem modelling from Müncheberg, Germany
• Mittenzwei, K. et al. 2017, Combined effects of climate change and policy uncertainty on the agricultural sector in Norway
• Mitter, H. et al. 2019, A protocol to develop Shared Socio-economic Pathways for European agriculture
• Mitter, H. et al. 2018, The Stimuli-Actions-Effects-Responses (SAER)-framework for exploring perceived relationships between private and public climate change adaptation in agriculture
• Mitter, H. et al. 2015, Integrated modelling of protein crop production responses to climate change and agricultural policy scenarios in Austria
• Mitter, H. et al. 2015, Spatial modeling of robust crop production portfolios to assess agricultural vulnerability and adaptation to climate change
• Molina-Herrera, S. et al. 2017, Importance of soil NO emissions for the total atmospheric NOX budget of Saxony, Germany
• Molina-Herrera, S. et al. 2016, A modeling study on mitigation of N2O emissions and NO3 leaching at different agricultural sites across Europe using LandscapeDNDC.
• Murat, M. et al. 2018, Forecasting daily meteorological time series using ARIMA and regression models
• Murat, M. et al. 2016, Statistical modelling of agrometeorological time series by exponential smoothing
• Nguyen, T. et al. 2016, Perceptions of present and future climate change impacts on water availability for agricultural systems in the western Mediterranean region
• Nguyen, T.P.L. et al. 2019, Declarative or procedural knowledge? Knowledge for enhancing farmers’ mitigation and adaptation behaviour to climate change
• Nguyen, T.P.L. et al. 2016, Perceiving to learn or learning to perceive? Understanding farmers’ perceptions and adaptation to climate uncertainties
• Özkan Gülzari, Ş. et al. 2018, Impact of subclinical mastitis on greenhouse gas emissions intensity and profitability of dairy cows in Norway
• Özkan, Ş. et al. 2016, Challenges and priorities for modelling livestock health and pathogens in the context of climate change
• Özkan, Ş. et al. 2015, Impact of animal health on greenhouse gas emissions
• Palosuo, T. et al. 2015, Effects of climate and historical adaptation measures on barley yield trends in Finland
• Pardo, G. et al. 2015, Modelling the impact on greenhouse gas emissions of using underutilized feed resources in dairy goat systems
• Park, S.K. et al. 2017, Soil temperature response in Korea to a changing climate using a land surface model
• Pasqui, M. & Di Giuseppe, E. 2019, Climate change, future warming, and adaptation in Europe
• Persson, T. & Kværnø, S. 2017, Impact of projected mid-21st century climate and soil extrapolation on simulated spring wheat grain yield in Southeastern Norway
• Persson, T. et al. 2015, Impact of soil type extrapolation on timothy grass yield under baseline and future climate conditions in southeastern Norway
• Pirttioja, N. et al. 2015, Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces
• Reidsma, P. et al. 2015, Sustainable agricultural development in a rural area in the Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level
• Rodriguez, A. et al. 2019, Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations
• Rolinski, S. et al. 2015, Pasture harvest, carbon sequestration and feeding potentials under different grazing intensities
• Rötter, R.P. et al. 2018, Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes - A review
• Rötter, R.P. et al. 2015, Use of crop simulation modelling to aid ideotype design of future cereal cultivars
• Ruane, A.C. et al. 2016, Multi-wheat-model ensemble responses to interannual climate variability
• Ruete, A. et al. 2015, Eco-DREAMS-S: modelling the impact of climate change on milk performance in organic dairy farms
• Ruiu, L.M. et al. 2017, Re-Staging La Rasgioni: lessons learned from transforming a traditional form of conflict resolution to engage stakeholders in agricultural water governance
• Ruiz-Ramos, M. et al. 2018, Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment
• Ruiz-Ramos, M. et al. 2016, Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century
• Saetnan, E.R. & Kipling, R.P. 2016, Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community
• Salo, T.J. et al. 2016, Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization
• Sándor, R. et al. 2020, Ensemble modelling of carbon fluxes in grasslands and croplands
• Sándor, R. et al. 2016, Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance
• Sándor, R. et al. 2016, Modelling of grassland fluxes in Europe: evaluation of two biogeochemical models
• Sándor, R. et al. 2016, C and N models intercomparison-benchmark and ensemble model estimates for grassland production
• Sándor, R. et al. 2015, Uncertainty in simulating biomass yield and carbon-water fluxes from grasslands under climate change
• Sanz-Cobena, A et al. 2017, Mitigation and quantification of greenhouse gas emissions in Mediterranean cropping systems
• Sanz-Cobena, A. et al. 2019, Impact of rainfall to the effectiveness of pig slurry shallow injection method for NH3 mitigation in a Mediterranean soil
• Schauberger, B. et al. 2016, A network-based approach for semi-quantitative knowledge mining and its application to yield variability
• Schils, R. et al. 2018, Cereal yield gaps across Europe
• Scholten, M.C.T. 2015, Research and innovation for a competitive and sustainable animal production sector in a climate changing Europe: linking up MACSUR with Animal Task Force
• Schönhart, M. 2016, Heat stress impacts on cows in a case study landscape measured by an integrated modelling framework
• Schönhart, M. et al. 2016, Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria
• Schönhart, M. & Nadeem, I. 2015, Direct climate change impacts on cattle indicated by THI models
• Seddaiu, G. et al. 2016, Long term effects of tillage practices and N fertilization in rainfed Mediterranean cropping systems: durum wheat, sunflower and maize grain yield
• Semenov, M.A. & Stratonovitch, P. 2015, Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections
• Sharif, B. et al. 2017, Comparison of regression techniques to predict response of oilseed rape yield to variation in climatic conditions in Denmark
• Shrestha, S. et al. 2015, Irish farms under climate change - is there a regional variation on farm responses?
• Siczek, A. et al. 2015, Effects of soil deformation and surface mulching on soil physical properties and soybean response related to weather conditions
• Siebert, S. et al. 2017, Heat stress is overestimated in climate impact studies for irrigated agriculture
• Stefańczyk, E. et al. 2016, Diversity of Fusarium spp. associated with dry rot of potato tubers in Poland
• Stratonovitch, P. & Semenov, M.A. 2015, Heat tolerance around flowering in wheat identified as a key trait for increased yield potential in Europe under climate change
• Tao, F. et al. 2020, Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models
• Tao, F. et al. 2018, Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments
• Tao, F. et al. 2017, Designing future barley ideotypes using a crop model ensemble
• Tao, F. et al. 2017, Wheat yield benefited from increases in minimum temperature in the Huang-Huai-Hai Plain of China in the past three decades
• Tao, F. et al. 2016, Variability in crop yields associated with climate anomalies in China over the past three decades
• Tao, F. et al. 2016, Historical data provide new insights into response and adaptation of maize production systems to climate change/variability in China
• Tao, F. et al. 2015, Assessing climate effects on wheat yield and water use in Finland using a super-ensemble-based probabilistic approach
• Tao, F. et al. 2015, Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China
• Tao, F. et al. 2015, Heat stress impacts on wheat growth and yield were reduced in the Huang-Huai-Hai Plain of China in the past three decades
• Tomozeiu, R. et al. 2017, Future changes of air temperature over Italian agricultural areas: a statistical downscaling technique applied to 2021-2050 and 2071-2100 periods
• Toscano, P. et al. 2015, Empirical modelling of regional and national durum wheat quality
• Trnka, M. et al. 2019, Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas
• Trnka, M. et al. 2015, Adaptation options for wheat in Europe will be limited by increased adverse weather events under climate change
• van Bussel, L.G.J. et al. 2016, Spatial sampling of weather data for regional crop yield simulations
• van Bussel, L.G.J. et al. 2015, Simulation of the phenological development of wheat and maize at the global scale
• van der Linden, A. et al. 2016, Exploring grass-based beef production under climate change by integration of grass and cattle growth models
• Van Oijen, M. et al. 2017, Correcting errors from spatial upscaling of nonlinear greenhouse gas flux models
• Van Oijen, M. & Höglind, M. 2016, Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design
• Ventrella, D. et al. 2016, Effects of crop residue management on winter durum wheat productivity in a long term experiment in Southern Italy
• Ventrella, D. et al. 2015, Consumptive use of green and blue water for winter durum wheat cultivated in Southern Italy
• Vilvert, E. et al. 2018, Multi-model approach for assessing the sunflower food value chain in Tanzania
• Virkajärvi, P. et al. 2016, Modelling responses of forages to climate change with a focus on nutritive value
• Vitali, A. et al. 2016, Effect of season, month and temperature humidity index on the occurrence of clinical mastitis in dairy heifers
• Vitali, A. et al. 2015, The effect of heat waves on dairy cow mortality
• Walkiewicz, A. et al. 2016, Methane oxidation in heavy metal contaminated Mollic Gleysol under oxic and hypoxic conditions
• Wallach, D. et al. 2016, Lessons from climate modeling on the design and use of ensembles for crop modeling
• Wallach, D. et al. 2016, Estimating model prediction error: Should you treat predictions as fixed or random
• Wallach, D. 2015, Developing skills: how to train adaptive modelers
• Wang, E. et al. 2017, The uncertainty of crop yield projections is reduced by improved temperature response functions
• Watson, J. et al. 2015, Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model
• Webber, H. et al. 2018, Diverging importance of drought stress for maize and winter wheat in Europe
• Webber, H. et al. 2018, Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions
• Webber, H. et al. 2017, Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison
• Webber, H. et al. 2016, Simulating canopy temperature for modelling heat stress in cereals
• Webber, H. et al. 2016, Uncertainty in future irrigation water demand and risk of crop failure for maize in Europe
• Webber, H. et al. 2015, Climate change impacts on European crop yields: Do we need to consider nitrogen limitation
• Weindl, I. et al. 2017, Livestock production and the water challenge of future food supply: Implications of agricultural management and dietary choices
• Weindl, I. et al. 2017, Livestock and human use of land: Productivity trends and dietary choices as drivers of future land and carbon dynamics
• Weindl, I. et al. 2015, Livestock in a changing climate: production system transitions as an adaptation strategy for agriculture
• Wu, L. et al. 2015, Modelling the impact of environmental changes on grassland systems with SPACSYS
• Xiao, D.P. & Tao, F.L. 2016, Contributions of cultivar shift, management practice and climate change to maize yield in North China Plain in 1981-2009
• Yang, H. et al. 2016, Potential negative consequences of geoengineering on crop production: A study of Indian groundnut
• Yin, X. et al. 2017, Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe
• Yin, X. et al. 2017, Performance of process-based models for simulation of grain N in crop rotations across Europe
• Yin, X. et al. 2016, Adapting maize production to drought in the Northeast Farming Region of China
• Yin, X. et al. 2016, Impacts and adaptation of the cropping systems to climate change in the Northeast Farming Region of China
• Yin, X.G. et al. 2016, Climate effects on crop yields in the Northeast Farming Region of China during 1961-2010
• Yin, X.G. et al. 2016, Effects of climatic factors, drought risk and irrigation requirement on maize yield in the Northeast Farming Region of China
• Zhai, R. & Tao, F. 2017, Contributions of climate change and human activities to runoff change in seven typical catchments across China
• Zhang, S. et al. 2017, Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China
• Zhang, S. et al. 2016, Changes in extreme temperatures and their impacts on rice yields in southern China from 1981 to 2009
• Zhang, W. et al. 2015, Comparison of the DNDC, LandscapeDNDC and IAP-N-GAS models for simulating nitrous oxide and nitric oxide emissions from the winter wheat-summer maize rotation system
• Zhao, G. et al. 2016, Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops
• Zhao, G. et al. 2015, Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables
• Zhao, G. et al. 2015, Demand for multi-scale weather data for regional crop modeling
• Zhao, G. et al. 2015, The implication of irrigation in climate change impact assessment: a European-wide study
• Zimmermann, A. et al. 2017, Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements
• Zimmermann, A. & Britz, W. 2016, European farms’ participation in agri-environmental measures