•Enders, A., Vianna, M., Gaiser, T., Krauss, G., Webber, H., Srivastava, A. K., Seidel, S. J., Tewes, A., Rezaei, E. E., & Ewert, F. (2023). SIMPLACE - A versatile modelling and simulation framework for sustainable crops and agroecosystems. In Silico Plants, diad006. https://doi.org/10.1093/insilicoplants/diad006

 

•Enders, A., Diekkrüger, B., Laudien, R., Gaiser, T., Bareth, G., 2010. The IMPETUS Spatial Decision Support Systems, in: Speth, P., Christoph, M., Diekkrüger, Bernd (Es.), Impacts of Global Change on the Hydrological Cycle in West and Northwest Africa. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 360–393.

 

 

 

 

Publications with explicit reference to SIMPLACE

 

•Adusei, G., Aidoo, M. K., Srivastava, A. K., Asibuo, J. Y., & Gaiser, T. (2022). The impact of climate change on the productivity of cowpea (Vigna unguiculata) under three different socio-economic pathways. Italian Journal of Agronomy, 17(4). https://doi.org/10.4081/ija.2022.2118

 

•Dueri, S., Brown, H., Asseng, S., Ewert, F., Webber, H., George, M., Craigie, R., Guarin, J. R., Pequeno, D. N. L., Stella, T., Ahmed, M., Alderman, P. D., Basso, B., Berger, A. G., Mujica, G. B., Cammarano, D., Chen, Y., Dumont, B., Rezaei, E. E., … Martre, P. (2022). Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment. Journal of Experimental Botany, 73(16), 5715–5729. https://doi.org/10.1093/jxb/erac221

 

•Feng, Y., Nguyen, T. H., Alam, M. S., Emberson, L., Gaiser, T., Ewert, F., & Frei, M. (2022). Identifying and modelling key physiological traits that confer tolerance or sensitivity to ozone in winter wheat. Environmental Pollution , 304, 119251. https://doi.org/10.1016/j.envpol.2022.119251

 

•Guarin, J. R., Martre, P., Ewert, F., Webber, H., Dueri, S., Calderini, D., Reynolds, M., Molero, G., Miralles, D., Garcia, G., Slafer, G., Giunta, F., Pequeno, D. N. L., Stella, T., Ahmed, M., Alderman, P. D., Basso, B., Berger, A. G., Bindi, M., … Asseng, S. (2022). Evidence for increasing global wheat yield potential. Environmental Research Letters: ERL [Web Site], 17(12), 124045. https://doi.org/10.1088/1748-9326/aca77c

 

•Kamali, B., Lorite, I. J., Webber, H. A., Rezaei, E. E., Gabaldon-Leal, C., Nendel, C., Siebert, S., Ramirez-Cuesta, J. M., Ewert, F., & Ojeda, J. J. (2022). Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain. Scientific Reports, 12(1), 4049. https://doi.org/10.1038/s41598-022-08056-9

 

•Kothari, K., Battisti, R., Boote, K. J., Archontoulis, S. V., Confalone, A., Constantin, J., Cuadra, S. V., Debaeke, P., Faye, B., Grant, B., Hoogenboom, G., Jing, Q., van der Laan, M., Macena da Silva, F. A., Marin, F. R., Nehbandani, A., Nendel, C., Purcell, L. C., Qian, B., … Salmerón, M. (2022). Are soybean models ready for climate change food impact assessments? European Journal of Agronomy: The Journal of the European Society for Agronomy, 135, 126482. https://doi.org/10.1016/j.eja.2022.126482

 

•Nguyen, T. H., Langensiepen, M., Hueging, H., Gaiser, T., Seidel, S. J., & Ewert, F. (2022). Expansion and evaluation of two coupled root–shoot models in simulating CO2 and H2O fluxes and growth of maize. Vadose Zone Journal, n/a(n/a), e20181. https://doi.org/10.1002/vzj2.20181

 

•Seidel, S. J., Gaiser, T., Srivastava, A. K., Leitner, D., Schmittmann, O., Athmann, M., Kautz, T., Guigue, J., Ewert, F., & Schnepf, A. (2022). Simulating Root Growth as a Function of Soil Strength and Yield With a Field-Scale Crop Model Coupled With a 3D Architectural Root Model. Frontiers in Plant Science, 13, 865188. https://doi.org/10.3389/fpls.2022.865188

 

•Srivastava, A. K., Ewert, F., Akinwumiju, A. S., Zeng, W., Ceglar, A., Ezui, K. S., Adelodun, A., Adebayo, A., Sobamowo, J., Singh, M., Rahimi, J., & Gaiser, T. (2022). Cassava yield gap—A model-based assessment in Nigeria. Frontiers in Sustainable Food Systems, 6. https://doi.org/10.3389/fsufs.2022.1058775

 

•Wang, E., He, D., Wang, J., Lilley, J. M., Christy, B., Hoffmann, M. P., O’Leary, G., Hatfield, J. L., Ledda, L., Deligios, P. A., Grant, B., Jing, Q., Nendel, C., Kage, H., Qian, B., Eyshi Rezaei, E., Smith, W., Weymann, W., & Ewert, F. (2022). How reliable are current crop models for simulating growth and seed yield of canola across global sites and under future climate change? Climatic Change, 172(1), 20. https://doi.org/10.1007/s10584-022-03375-2

 

•Wallach, D., Palosuo, T., Thorburn, P., Hochman, Z., Gourdain, E., Andrianasolo, F., Asseng, S., Basso, B., Buis, S., Crout, N., Dibari, C., Dumont, B., Ferrise, R., Gaiser, T., Garcia, C., Gayler, S., Ghahramani, A., Hiremath, S., Hoek, S., … Seidel, S. J. (2021b). The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. Environmental Modelling & Software, 145, 105206. https://doi.org/10.1016/j.envsoft.2021.105206

 

•Wallach, D., Palosuo, T., Thorburn, P., Hochman, Z., Andrianasolo, F., Asseng, S., Basso, B., Buis, S., Crout, N., Dumont, B., Ferrise, R., Gaiser, T., Gayler, S., Hiremath, S., Hoek, S., Horan, H., Hoogenboom, G., Huang, M., Jabloun, M., … Seidel, S. J. (2021a). Multi-model evaluation of phenology prediction for wheat in Australia. Agricultural and Forest Meteorology, 298-299, 108289. https://doi.org/10.1016/j.agrformet.2020.108289

 

•Jägermeyr, J., Müller, C., Ruane, A. C., Elliott, J., Balkovic, J., Castillo, O., Faye, B., Foster, I., Folberth, C., Franke, J. A., Fuchs, K., Guarin, J. R., Heinke, J., Hoogenboom, G., Iizumi, T., Jain, A. K., Kelly, D., Khabarov, N., Lange, S., … Rosenzweig, C. (2021). Climate impacts on global agriculture emerge earlier in new generation of climate and crop models. In Nature Food (Vol. 2, Issue 11, pp. 873–885). https://doi.org/10.1038/s43016-021-00400-y

 

•Lopez, G., Gaiser, T., Ewert, F., & Srivastava, A. (2021). Effects of Recent Climate Change on Maize Yield in Southwest Ecuador. Atmosphere, 12(3), 299. https://doi.org/10.3390/atmos12030299

 

•Midingoyi, C. A., Pradal, C., Enders, A., Fumagalli, D., Raynal, H., Donatelli, M., Athanasiadis, I. N., Porter, C., Hoogenboom, G., Holzworth, D., Garcia, F., Thorburn, P., & Martre, P. (2021). Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components. Environmental Modelling & Software, 142, 105055. https://doi.org/10.1016/j.envsoft.2021.105055

 

•Mouratiadou, I., Latka, C., van der Hilst, F., Müller, C., Berges, R., Bodirsky, B. L., Ewert, F., Faye, B., Heckelei, T., Hoffmann, M., Lehtonen, H., Lorite, I. J., Nendel, C., Palosuo, T., Rodríguez, A., Rötter, R. P., Ruiz-Ramos, M., Stella, T., Webber, H., & Wicke, B. (2021). Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling. Ecological Indicators, 129, 107870. https://doi.org/10.1016/j.ecolind.2021.107870

 

•Rezaei, E. E., Ghazaryan, G., González, J., Cornish, N., Dubovyk, O., & Siebert, S. (2021). The use of remote sensing to derive maize sowing dates for large-scale crop yield simulations. International Journal of Biometeorology, 65(4), 565–576. https://doi.org/10.1007/s00484-020-02050-4

 

•Seidel, S. J., Gaiser, T., Ahrends, H. E., Hüging, H., Siebert, S., Bauke, S. L., Gocke, M. I., Koch, M., Schweitzer, K., Schaaf, G., & Ewert, F. (2021). Crop response to P fertilizer omission under a changing climate - Experimental and modeling results over 115 years of a long-term fertilizer experiment. Field Crops Research, 268, 108174. https://doi.org/10.1016/j.fcr.2021.108174

 

•Stella, T., Webber, H., Olesen, J. E., Ruane, A. C., Fronzek, S., Bregaglio, S., Mamidanna, S., Bindi, M., Collins, B., Faye, B., Ferrise, R., Fodor, N., Gabaldón-Leal, C., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorite, I. J., Manceau, L., Martre, P., … Ewert, F. (2021). Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change. In Environmental Research Letters (Vol. 16, Issue 10, p. 104033). https://doi.org/10.1088/1748-9326/ac2196

 

•Wallach, D., Palosuo, T., Thorburn, P., Gourdain, E., Asseng, S., Basso, B., Buis, S., Crout, N., Dibari, C., Dumont, B., Ferrise, R., Gaiser, T., Garcia, C., Gayler, S., Ghahramani, A., Hochman, Z., Hoek, S., Hoogenboom, G., Horan, H., … Seidel, S. J. (2021). How well do crop modeling groups predict wheat phenology, given calibration data from the target population? European Journal of Agronomy: The Journal of the European Society for Agronomy, 124, 126195. https://doi.org/10.1016/j.eja.2020.126195

 

•Bourgault, M., Webber, H. A., Chenu, K., O’Leary, G. J., Gaiser, T., Siebert, S., Dreccer, F., Huth, N., Fitzgerald, G. J., Tausz, M., & Ewert, F. (2020). Early vigour in wheat: Could it lead to more severe terminal drought stress under elevated atmospheric [CO2 ] and semi-arid conditions? Global Change Biology, 26(7), 4079–4093. https://doi.org/10.1111/gcb.15128

 

•Falconnier, G. N., Corbeels, M., Boote, K. J., Affholder, F., Adam, M., MacCarthy, D. S., Ruane, A. C., Nendel, C., Whitbread, A. M., Justes, É., Ahuja, L. R., Akinseye, F. M., Alou, I. N., Amouzou, K. A., Anapalli, S. S., Baron, C., Basso, B., Baudron, F., Bertuzzi, P., … Webber, H. (2020). Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa. Global Change Biology, 26(10), 5942–5964. https://doi.org/10.1111/gcb.15261

 

•Kuhn, T., Enders, A., Gaiser, T., Schäfer, D., Srivastava, A. K., & Britz, W. (2020). Coupling crop and bio-economic farm modelling to evaluate the revised fertilization regulations in Germany. Agricultural Systems, 177, 102687. https://doi.org/10.1016/j.agsy.2019.102687

 

•Midingoyi, C. A., Pradal, C., Athanasiadis, I. N., Donatelli, M., Enders, A., Fumagalli, D., Garcia, F., Holzworth, D., Hoogenboom, G., Porter, C., Raynal, H., Thorburn, P., & Martre, P. (2020). Reuse of process-based models: automatic transformation into many programming languages and simulation platforms. In Silico Plants, 2(1). https://doi.org/10.1093/insilicoplants/diaa007

 

•Nguyen, T. H., Langensiepen, M., Vanderborght, J., Hüging, H., Mboh, C. M., & Ewert, F. (2020). Comparison of root water uptake models in simulating CO2 and H2O fluxes and growth of wheat. Hydrology and Earth System Sciences, 24(10), 4943–4969. https://doi.org/10.5194/hess-24-4943-2020

 

•Srivastava, A. K., Ceglar, A., Zeng, W., Gaiser, T., Mboh, C. M., & Ewert, F. (2020). The Implication of Different Sets of Climate Variables on Regional Maize Yield Simulations. Atmosphere, 11(2), 180. https://doi.org/10.3390/atmos11020180

 

•Tao, F., Palosuo, T., Rötter, R. P., Díaz-Ambrona, C. G. H., Inés Mínguez, M., Semenov, M. A., Kersebaum, K. C., Cammarano, D., Specka, X., Nendel, C., Srivastava, A. K., Ewert, F., Padovan, G., Ferrise, R., Martre, P., Rodríguez, L., Ruiz-Ramos, M., Gaiser, T., Höhn, J. G., … Schulman, A. H. (2020). Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models. In Agricultural and Forest Meteorology (Vol. 281, p. 107851). https://doi.org/10.1016/j.agrformet.2019.107851

 

•Tewes, A., Hoffmann, H., Krauss, G., Schäfer, F., Kerkhoff, C., & Gaiser, T. (2020). New Approaches for the Assimilation of LAI Measurements into a Crop Model Ensemble to Improve Wheat Biomass Estimations. In Agronomy (Vol. 10, Issue 3, p. 446). https://doi.org/10.3390/agronomy10030446

 

•Tewes, A., Hoffmann, H., Nolte, M., Krauss, G., Schäfer, F., Kerkhoff, C., & Gaiser, T. (2020). How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level? Remote Sensing, 12(6), 925. https://doi.org/10.3390/rs12060925

 

•Tewes, A., Montzka, C., Nolte, M., Krauss, G., Hoffmann, H., & Gaiser, T. (2020). Assimilation of Sentinel-2 Estimated LAI into a Crop Model: Influence of Timing and Frequency of Acquisitions on Simulation of Water Stress and Biomass Production of Winter Wheat. Agronomy, 10(11), 1813. https://doi.org/10.3390/agronomy10111813

 

•Webber, H., Lischeid, G., Sommer, M., Finger, R., Nendel, C., Gaiser, T., & Ewert, F. (2020). No perfect storm for crop yield failure in Germany. Environmental Research Letters: ERL [Web Site], 15(10), 104012. https://doi.org/10.1088/1748-9326/aba2a4

 

•Asseng, S., Martre, P., Maiorano, A., Rötter, R. P., O’Leary, G. J., Fitzgerald, G. J., Girousse, C., Motzo, R., Giunta, F., Babar, M. A., Reynolds, M. P., Kheir, A. M. S., Thorburn, P. J., Waha, K., Ruane, A. C., Aggarwal, P. K., Ahmed, M., Balkovic, J., Basso, B., … Ewert, F. (2019). Climate change impact and adaptation for wheat protein. Global Change Biology, 25(1), 155–173. https://doi.org/10.1111/gcb.14481

 

•Constantin, J., Raynal, H., Casellas, E., Hoffmann, H., Bindi, M., Doro, L., Eckersten, H., Gaiser, T., Grosz, B., Haas, E., Kersebaum, K.-C., Klatt, S., Kuhnert, M., Lewan, E., Maharjan, G. R., Moriondo, M., Nendel, C., Roggero, P. P., Specka, X., … Bergez, J.-E. (2019). Management and spatial resolution effects on yield and water balance at regional scale in crop models. Agricultural and Forest Meteorology, 275, 184–195. https://doi.org/10.1016/j.agrformet.2019.05.013

 

•Kimball, B. A., Boote, K. J., Hatfield, J. L., Ahuja, L. R., Stockle, C., Archontoulis, S., Baron, C., Basso, B., Bertuzzi, P., Constantin, J., Deryng, D., Dumont, B., Durand, J.-L., Ewert, F., Gaiser, T., Gayler, S., Hoffmann, M. P., Jiang, Q., Kim, S.-H., … Williams, K. (2019). Simulation of maize evapotranspiration: An inter-comparison among 29 maize models. Agricultural and Forest Meteorology, 271, 264–284. https://doi.org/10.1016/j.agrformet.2019.02.037

 

•Legesse, E. E., Srivastava, A. K., Kuhn, A., & Gaiser, T. (2019). Household Welfare Implications of Better Fertilizer Access and Lower Use Inefficiency: Long-Term Scenarios for Ethiopia. Sustainability: Science Practice and Policy, 11(14), 3952. https://doi.org/10.3390/su11143952

 

•Lopez, G., Kolem, H. B., Srivastava, A. K., Gaiser, T., & Ewert, F. (2019). A Model-Based Estimation of Resource Use Efficiencies in Maize Production in Nigeria. Sustainability: Science Practice and Policy, 11(18), 5114. https://doi.org/10.3390/su11185114

 

•Maharjan, G. R., Hoffmann, H., Webber, H., Srivastava, A. K., Weihermüller, L., Villa, A., Coucheney, E., Lewan, E., Trombi, G., Moriondo, M., Bindi, M., Grosz, B., Dechow, R., Kuhnert, M., Doro, L., Kersebaum, K.-C., Stella, T., Specka, X., Nendel, C., … Gaiser, T. (2019). Effects of input data aggregation on simulated crop yields in temperate and Mediterranean climates. European Journal of Agronomy: The Journal of the European Society for Agronomy, 103, 32–46. https://doi.org/10.1016/j.eja.2018.11.001

 

•Mboh, C. M., Srivastava, A. K., Gaiser, T., & Ewert, F. (2019). Including root architecture in a crop model improves predictions of spring wheat grain yield and above-ground biomass under water limitations. Journal of Agronomy and Crop Science, 205(2), 109–128. https://doi.org/10.1111/jac.12306

 

•Rezaei, E. E., & Lashkari, A. (2019). The consequences of change in management practices on maize yield under climate warming in Iran. Theoretical and Applied Climatology, 137(1-2), 1001–1013. https://doi.org/10.1007/s00704-018-2637-8

 

•Seidel, S. J., Gaiser, T., Kautz, T., Bauke, S. L., Amelung, W., Barfus, K., Ewert, F., & Athmann, M. (2019). Estimation of the impact of precrops and climate variability on soil depth-differentiated spring wheat growth and water, nitrogen and phosphorus uptake. Soil and Tillage Research, 195, 104427. https://doi.org/10.1016/j.still.2019.104427

 

•Srivastava, A. K., Mboh, C. M., Faye, B., Gaiser, T., Kuhn, A., Ermias, E., & Ewert, F. (2019). Options for Sustainable Intensification of Maize Production in Ethiopia. Sustainability: Science Practice and Policy, 11(6), 1707. https://doi.org/10.3390/su11061707

 

•Srivastava, A. K., Mboh, C. M., Gaiser, T., Kuhn, A., Ermias, E., & Ewert, F. (2019). Effect of mineral fertilizer on rain water and radiation use efficiencies for maize yield and stover biomass productivity in Ethiopia. Agricultural Systems, 168, 88–100. https://doi.org/10.1016/j.agsy.2018.10.010

 

•Durand, J.-L., Delusca, K., Boote, K., Lizaso, J., Manderscheid, R., Weigel, H. J., Ruane, A. C., Rosenzweig, C., Jones, J., Ahuja, L., Anapalli, S., Basso, B., Baron, C., Bertuzzi, P., Biernath, C., Deryng, D., Ewert, F., Gaiser, T., Gayler, S., … Zhao, Z. (2018). How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? European Journal of Agronomy: The Journal of the European Society for Agronomy, 100, 67–75. https://doi.org/10.1016/j.eja.2017.01.002

 

•Faye, B., Webber, H., Diop, M., Mbaye, M. L., Owusu-Sekyere, J. D., Naab, J. B., & Gaiser, T. (2018). Potential impact of climate change on peanut yield in Senegal, West Africa. Field Crops Research, 219, 148–159. https://doi.org/10.1016/j.fcr.2018.01.034

 

•Faye, B., Webber, H., Naab, J. B., MacCarthy, D. S., Adam, M., Ewert, F., Lamers, J. P. A., Schleussner, C.-F., Ruane, A., Gessner, U., Hoogenboom, G., Boote, K., Shelia, V., Saeed, F., Wisser, D., Hadir, S., Laux, P., & Gaiser, T. (2018). Impacts of 1.5 versus 2.0 °C on cereal yields in the West African Sudan Savanna. Environmental Research Letters: ERL [Web Site], 13(3), 034014. https://doi.org/10.1088/1748-9326/aaab40

 

•Hoffmann, M. P., Haakana, M., Asseng, S., Höhn, J. G., Palosuo, T., Ruiz-Ramos, M., Fronzek, S., Ewert, F., Gaiser, T., Kassie, B. T., Paff, K., Rezaei, E. E., Rodríguez, A., Semenov, M., Srivastava, A. K., Stratonovitch, P., Tao, F., Chen, Y., & Rötter, R. P. (2018). How does inter-annual variability of attainable yield affect the magnitude of yield gaps for wheat and maize? An analysis at ten sites. Agricultural Systems, 159, 199–208. https://doi.org/10.1016/j.agsy.2017.03.012

 

•Rezaei, E. E., Siebert, S., Hüging, H., & Ewert, F. (2018). Climate change effect on wheat phenology depends on cultivar change. In Scientific Reports (Vol. 8, Issue 1). https://doi.org/10.1038/s41598-018-23101-2

 

•Srivastava, A. K., Mboh, C. M., Zhao, G., Gaiser, T., & Ewert, F. (2018). Climate change impact under alternate realizations of climate scenarios on maize yield and biomass in Ghana. Agricultural Systems, 159, 157–174. https://doi.org/10.1016/j.agsy.2017.03.011

 

•Tao, F., Rötter, R. P., Palosuo, T., Gregorio Hernández Díaz-Ambrona, C., Mínguez, M. I., Semenov, M. A., Kersebaum, K. C., Nendel, C., Specka, X., Hoffmann, H., Ewert, F., Dambreville, A., Martre, P., Rodríguez, L., Ruiz-Ramos, M., Gaiser, T., Höhn, J. G., Salo, T., Ferrise, R., … Schulman, A. H. (2018). Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments. Global Change Biology, 24(3), 1291–1307. https://doi.org/10.1111/gcb.14019

 

•Webber, H., Ewert, F., Olesen, J. E., Müller, C., Fronzek, S., Ruane, A. C., Bourgault, M., Martre, P., Ababaei, B., Bindi, M., Ferrise, R., Finger, R., Fodor, N., Gabaldón-Leal, C., Gaiser, T., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorite, I. J., … Wallach, D. (2018). Diverging importance of drought stress for maize and winter wheat in Europe. Nature Communications, 9(1), 4249. https://doi.org/10.1038/s41467-018-06525-2

 

•Webber, H., White, J. W., Kimball, B. A., Ewert, F., Asseng, S., Eyshi Rezaei, E., Pinter, P. J., Hatfield, J. L., Reynolds, M. P., Ababaei, B., Bindi, M., Doltra, J., Ferrise, R., Kage, H., Kassie, B. T., Kersebaum, K.-C., Luig, A., Olesen, J. E., Semenov, M. A., … Martre, P. (2018). Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions. Field Crops Research, 216, 75–88. https://doi.org/10.1016/j.fcr.2017.11.005

 

•Kuhnert, M., Yeluripati, J., Smith, P., Hoffmann, H., van Oijen, M., Constantin, J., Coucheney, E., Dechow, R., Eckersten, H., Gaiser, T., Grosz, B., Haas, E., Kersebaum, K.-C., Kiese, R., Klatt, S., Lewan, E., Nendel, C., Raynal, H., Sosa, C., … Ewert, F. (2017). Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands. In European Journal of Agronomy (Vol. 88, pp. 41–52). https://doi.org/10.1016/j.eja.2016.06.005

 

•Maiorano, A., Martre, P., Asseng, S., Ewert, F., Müller, C., Rötter, R. P., Ruane, A. C., Semenov, M. A., Wallach, D., Wang, E., Alderman, P. D., Kassie, B. T., Biernath, C., Basso, B., Cammarano, D., Challinor, A. J., Doltra, J., Dumont, B., Rezaei, E. E., … Zhu, Y. (2017). Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles. Field Crops Research, 202, 5–20. https://doi.org/10.1016/j.fcr.2016.05.001

 

•Siebert, S., Webber, H., Zhao, G., & Ewert, F. (2017). Heat stress is overestimated in climate impact studies for irrigated agriculture. Environmental Research Letters: ERL [Web Site], 12(5), 054023. https://doi.org/10.1088/1748-9326/aa702f

 

•Srivastava, A. K., Mboh, C. M., Gaiser, T., & Ewert, F. (2017). Impact of climatic variables on the spatial and temporal variability of crop yield and biomass gap in Sub-Saharan Africa- a case study in Central Ghana. Field Crops Research, 203, 33–46. https://doi.org/10.1016/j.fcr.2016.11.010

 

•Tao, F., Rötter, R. P., Palosuo, T., Díaz-Ambrona, C. G. H., Mínguez, M. I., Semenov, M. A., Kersebaum, K. C., Nendel, C., Cammarano, D., Hoffmann, H., Ewert, F., Dambreville, A., Martre, P., Rodríguez, L., Ruiz-Ramos, M., Gaiser, T., Höhn, J. G., Salo, T., Ferrise, R., … Schulman, A. H. (2017). Designing future barley ideotypes using a crop model ensemble. European Journal of Agronomy: The Journal of the European Society for Agronomy, 82, 144–162. https://doi.org/10.1016/j.eja.2016.10.012

 

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