[en] Increasing temperature trends are expected to impact yields of major field crops by affectingvarious plant processes, such as phenology, growth, and evapotranspiration. However, future projectionstypically do not consider the effects of agronomic adaptation in farming practices. We use an ensemble ofseven Global Gridded Crop Models to quantify the impacts and adaptation potential of field crops underincreasing temperature up to 6 K, accounting for model uncertainty. We find that without adaptation, thedominant effect of temperature increase is to shorten the growing period and to reduce grain yields andproduction. We then test the potential of two agronomic measures to combat warming-induced yieldreduction: (i) use of cultivars with adjusted phenology to regain the reference growing period duration and(ii) conversion of rainfed systems to irrigated ones inorder to alleviate the negative temperature effects thatare mediated by crop evapotranspiration. We find that cultivar adaptation can fully compensate globalproduction losses up to2Koftemperature increase, with larger potentials in continental and temperateregions. Irrigation could also compensate production losses, but its potential is highest in arid regions,where irrigation expansion would be constrained by water scarcity. Moreover, we discuss that irrigation isnot a true adaptation measure but rather an intensification strategy, as it equally increases productionunder any temperature level. In the tropics, even when introducing both adapted cultivars and irrigation,crop production declines already at moderate warming, making adaptation particularly challenging inthese areas. (c) The Authors
Disciplines :
Earth sciences & physical geography
Author, co-author :
Minoli, Sara; Potsdam Institute for Climate Impact Research > Climate Resilience > Member of the Leibniz Association
Müller, Christoph; Potsdam Institute for Climate Impact Research > Climate Resilience > Member of the Leibniz Association
Elliott, Joshua; University of Chicago > Department of Computer Science
Ruane, Alex C; National Aeronautics and Space Administration - NASA > Goddard Institute for Space Studies
Jägermeyr, Jonas; Potsdam Institute for Climate Impact Research > Climate Resilience > Member of the Leibniz Association
Zabel, Florian; Ludwig-Maximilians-Universität München - LMU > Department of Geography
Dury, Marie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Folberth, Christian; nternational Institute for Applied Systems Analysis > Ecosystem Services and Management Program
François, Louis ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Hank, Tobias; Ludwig-Maximilians-Universität München - LMU > Department of Geography
Jacquemin, Ingrid ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Liu, Wenfeng; Swiss Federal Institute of Aquatic Science and Technology - Eawag
Olin, Stefan; Lund University > Department of Physical Geography and Ecosystem Science
Pugh, Thomas AM; University of Birmingham > Earth and Environmental Sciences
Abdulai, A., Kouressy, M., Vaksmann, M., Asch, F., Giese, M., & Holger, B. (2012). Latitude and date of sowing influences phenology of photoperiod-sensitive sorghums. Journal of Agronomy and Crop Science, 198(5), 340–348.
Ainsworth, E. A., & Ort, D. R. (2010). How do we improve crop production in a warming world? Plant physiology, 154(2), 526–530.
Asseng, S., Zhu, Y., Wang, E., & Zhang, W. (2015). Crop modeling for climate change impact and adaptation, (2nd ed.)., Crop physiology pp. 505–546). San Diego:Elsevier. http://www.sciencedirect.com/science/article/pii/B9780124171046000200
Atkin, O. K., Bruhn, D., Hurry, V. M., & Tjoelker, M. G. (2005). Evans review no. 2: The hot and the cold: Unravelling the variable response of plant respiration to temperature. Functional Plant Biology, 32(2), 87–105.
Atkin, O. K., & Tjoelker, M. G. (2003). Thermal acclimation and the dynamic response of plant respiration to temperature. Trends in plant science, 8(7), 343–351.
Bodner, G., Nakhforoosh, A., & Kaul, H.-P. (2015). Management of crop water under drought: A review. Agronomy for Sustainable Development, 35(2), 401–442.
Burke, M., & Emerick, K. (2016). Adaptation to climate change: Evidence from US agriculture. American Economic Journal: Economic Policy, 8(3), 106–40.
Butler, E. E., & Huybers, P. (2013). Adaptation of US maize to temperature variations. Nature Climate Change, 3(1), 68–72.
Butler, E. E., Mueller, N. D., & Huybers, P. (2018). Peculiarly pleasant weather for US maize. Proceedings of the National Academy of Sciences, 115(47), 11,935–11,940.
Carter, E. K., Melkonian, J., Riha, S. J., & Shaw, S. B. (2016). Separating heat stress from moisture stress: Analyzing yield response to high temperature in irrigated maize. Environmental Research Letters, 11(9), 94012.
Challinor, A. J., Koehler, A.-K., Ramirez-Villegas, J., Whitfield, S., & Das, B. (2016). Current warming will reduce yields unless maize breeding and seed systems adapt immediately. Nature Climate Change, 6(10), 954.
Challinor, A. J., Watson, J., Lobell, D., Howden, S., Smith, D., & Chhetri, N. (2014). A meta-analysis of crop yield under climate change and adaptation. Nature Climate Change, 4(4), 287.
Chenu, K., Porter, J. R., Martre, P., Basso, B., Chapman, S. C., Ewert, F., Bindi, M., & Asseng, S.(2017). Contribution of crop models to adaptation in wheat. Trends in Plant Science, 22(6), 472–490.
Dee, D. P., Uppala, S., Simmons, A., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hölm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., & Vitart, F.(2011). The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597.
Donohue, R. J., McVicar, T. R., & Roderick, M. L. (2010). Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate. Journal of Hydrology, 386(1-4), 186–197.
Dowle, M., & Srinivasan, A. (2017). data.table: Extension of ‘data.frame’. https://CRAN.R-project.org/package=data.table, R package version 1.10.4-3.
Dury, M., Hambuckers, A., Warnant, P., Henrot, A., Favre, E, Ouberdous, M., & François, L.(2011). Responses of European forest ecosystems to 21(st) century climate: Assessing changes in interannual variability and fire intensity. iForest: Biogeosciences and Forestry, 4, 82–99.
Egli, D. B. (2011). Time and the productivity of agronomic crops and cropping systems. Agronomy journal, 103(3), 743–750.
Elliott, J., Kelly, D., Chryssanthacopoulos, J., Glotter, M., Jhunjhnuwala, K., Best, N., Wilde, M., & Foster, I. (2014). The parallel system for integrating impact models and sectors (pSIMS). Environmental Modelling & Software, 62, 509–516, 1364-8152. https://doi.org/10.1016/j.envsoft.2014.04.008, http://www.sciencedirect.com/science/article/pii/S1364815214001121
Elliott, J., Müller, C, Deryng, D., Chryssanthacopoulos, J., Boote, K., Büchner, M, Foster, I., Glotter, M., Heinke, J., Iizumi, T., Izaurralde, R. C., Mueller, N. D., Ray, D. K., Rosenzweig, C., Ruane, A. C., & Sheffield, J. (2015). The Global Gridded Crop Model Intercomparison: Data and modeling protocols for phase 1 (v1. 0). Geoscientific Model Development, 8(2), 261–277.
FAO (2001). Food balance sheets: A handbook. Food and Agriculture Organization, Rome, Italy, http://www.fao.org/docrep/003/x9892e/X9892e05.htm\P8217_125315
Farooq, M., Bramley, H., Palta, J. A., & Siddique, K. H. (2011). Heat stress in wheat during reproductive and grain-filling phases. Critical Reviews in Plant Sciences, 30(6), 491–507.
Folberth, C., Elliott, J., Müller, C., Balkovic, J., Chryssanthacopoulos, J., Izaurralde, R. C., Jones, C., Khabarov, N., Liu, W., Reddy, A., Schmid, E., Skalský, R., Yang, H., Arneth, A., Ciais, P., Deryng, D., Lawrence, P. J., Olin, S., Pugh, T. A. M., Ruane, A. C., & Wang, X. (2016). Uncertainties in global crop model frameworks: Effects of cultivar distribution, crop management and soil handling on crop yield estimates. Biogeosciences Discussions, 2016, 1–30. https://www.biogeosciences-discuss.net/bg-2016-527/
Folberth, C., Gaiser, T., Abbaspour, K. C., Schulin, R., & Yang, H. (2012). Regionalization of a large-scale crop growth model for sub-Saharan Africa: Model setup, evaluation, and estimation of maize yields. Agriculture, ecosystems & environment, 151, 21–33.
Hank, T. B., Bach, H., & Mauser, W. (2015). Using a remote sensing-supported hydro-agroecological model for field-scale simulation of heterogeneous crop growth and yield: Application for wheat in central Europe. Remote Sensing, 7(4), 3934–3965.
Hatfield, J. L. (2016). Increased temperatures have dramatic effects on growth and grain yield of three maize hybrids. Agricultural & Environmental Letters, 1(1), 1–5. https://dl.sciencesocieties.org/publications/ael/abstracts/1/1/150006
Hatfield, J. L., Boote, K. J., Kimball, B., Ziska, L., Izaurralde, R. C., Ort, D., Thomson, A. M., & Wolfe, D. (2011). Climate impacts on agriculture: Implications for crop production. Agronomy journal, 103(2), 351–370.
Hatfield, J., Wright-Morton, L., & Hall, B. (2018). Vulnerability of grain crops and croplands in the midwest to climatic variability and adaptation strategies. Climatic Change, 146(1-2), 263–275.
Hunt, J. R., Lilley, J. M., Trevaskis, B., Flohr, B. M., Peake, A., Fletcher, A., Zwart, A. B., Gobbett, D., & Kirkegaard, J. A. (2019). Early sowing systems can boost australian wheat yields despite recent climate change. Nature Climate Change, 9(3), 244.
Jägermeyr, J., & Frieler, K. (2018). Spatial variations in crop growing seasons pivotal to reproduce global fluctuations in maize and wheat yields. Science Advances, 4(11), eaat4517.
Jones, J. W., Antle, J. M., Basso, B., Boote, K. J., Conant, R. T., Foster, I., Godfray, H. C. J., Herrero, M., Howitt, R. E., Janssen, S., Keating, B. A., Munoz-Carpena, R., Porter, C. H., Rosenzweig, C., & Wheeler, T. R. (2017). Brief history of agricultural systems modeling. Agricultural systems, 155, 240–254.
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3-4), 235–265.
Kimball, B. A. (2016). Crop responses to elevated CO 2 and interactions with H 2O, N, and temperature. Current Opinion in Plant Biology, 31, 36–43.
Lindeskog, M., Arneth, A., Bondeau, A., Waha, K., Seaquist, J., Olin, S., & Smith, B. (2013). Implications of accounting for land use in simulations of ecosystem carbon cycling in Africa. Earth System Dynamics, 4(2), 385–407.
Liu, B., Asseng, S., Müller, C., Ewert, F., Elliott, J., Lobell, D. B., Martre, P., Ruane, A. C., Wallach, D., Jones, J. W., Rosenzweig, C., Aggarwal, P. K., Alderman, P. D., Anothai, J., Basso, B., Biernath, C., Cammarano, D., Challinor, A., Deryng, D., De Sanctis, G., Doltra, J., Fereres, E., Folberth, C., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kersebaum, K. C., Kimball, B. A., Koehler, A.-K., Kumar, S. N., Nendel, C., O'Leary, G., Olesen, J. E., Ottman, M. J., Palosuo, T., Vara Prasad, P. V., Priesack, E., Pugh, T. A. M., Reynolds, M., Rezaei, E. E., RÖtter, R. P., Schmid, E., Semenov, M. A., Shcherbak, I., Stehfest, E., StÖckle, C. O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wall, G. W., Wang, E., White, J. W., Wolf, J., Zhao, Z., & Zhu, Y. (2016). Similar estimates of temperature impacts on global wheat yield by three independent methods. Nature Climate Change, 6(12), 1130.
Liu, J., Williams, J. R., Zehnder, A. J. B., & Yang, H. (2007). GEPIC—Modelling wheat yield and crop water productivity with high resolution on a global scale. Agricultural systems, 94(2), 478–493.
Liu, W., Yang, H., Folberth, C., Wang, X., Luo, Q., & Schulin, R. (2016). Global investigation of impacts of PET methods on simulating crop-water relations for maize. Agricultural and forest meteorology, 221, 164–175.
Liu, W., Yang, H., Liu, J., Azevedo, L. B., Wang, X., Xu, Z., Abbaspour, K. C., & Schulin, R.(2016). Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations. Science of The Total Environment, 572, 526–537.
Lobell, D. B. (2014). Climate change adaptation in crop production: Beware of illusions. Global Food Security, 3(2), 72–76.
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science, 333(6042), 616–620.
Müller, C., Elliott, J., Chryssanthacopoulos, J., Arneth, A., Balkovic, J., Ciais, P., Deryng, D., Folberth, C., Glotter, M., Hoek, S., Iizumi, T., Izaurralde, R. C., Jones, C., Khabarov, N., Lawrence, P., Liu, W., Olin, S., Pugh, T. A. M., Ray, D. K., Reddy, A., Rosenzweig, C., Ruane, A. C., Sakurai, G., Schmid, E., Skalsky, R., Song, C. X., Wang, X., de Wit, A., & Yang, H. (2017). Global Gridded Crop Model evaluation: Benchmarking, skills, deficiencies and implications. Geoscientific Model Development Discussions, 10, 1403–1422.
Mauser, W., & Bach, H. (2009). PROMET—Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds. Journal of Hydrology, 376(3-4), 362–377.
Mauser, W., Klepper, G., Zabel, F., Delzeit, R., Hank, T., Putzenlechner, B., & Calzadilla, A. (2015). Global biomass production potentials exceed expected future demand without the need for cropland expansion. Nature communications, 6, 8946.
McSweeney, C. F., & Jones, R. G. (2016). How representative is the spread of climate projections from the 5 CMIP5 GCMs used in ISI-MIP? Climate Services, 1, 24–29.
Mondal, S., Singh, R., Crossa, J., Huerta-Espino, J., Sharma, I., Chatrath, R., Singh, G., Sohu, V., Mavi, G., Sukuru, V., Kalappanavar, I. K., Mishra, V. K., Hussain, M., Gautam, N. R., Uddin, J., Barma, N. C. D., Hakim, A., & Joshil, A. K. (2013). Earliness in wheat: A key to adaptation under terminal and continual high temperature stress in South Asia. Field crops research, 151, 19–26.
Muller, B., & Martre, P. (2019). Plant and crop simulation models: Powerful tools to link physiology, genetics, and phenomics. UK:Oxford University Press.
Olesen, J. E., Børgesen, C. D., Elsgaard, L., Palosuo, T., Rötter, R., Skjelvåg, A., Peltonen-Sainio, P., Börjesson, T, Trnka, M., Ewert, F., Siebert, S., Brisson, N., Eitzinger, J., van Asselt, E. D., Oberforster, M., & van der Fels-Klerx, H. J. (2012). Changes in time of sowing, flowering and maturity of cereals in Europe under climate change. Food Additives & Contaminants: Part A, 29(10), 1527–1542.
Olesen, J. E., Trnka, M., Kersebaum, K. C., Skjelvåg, A., Seguin, B., Peltonen-Sainio, P., Rossi, F., Kozyra, J., & Micale, F. (2011). Impacts and adaptation of European crop production systems to climate change. European Journal of Agronomy, 34(2), 96–112.
Olin, S., Schurgers, G., Lindeskog, M., Wårlind, D., Smith, B., Bodin, P., Holmér, J., & Arneth, A. (2015). Modelling the response of yields and tissue C: N to changes in atmospheric CO 2 and N management in the main wheat regions of western Europe. Biogeosciences, 12(8), 2489–2515.
Parent, B., Leclere, M., Lacube, S., Semenov, M. A., Welcker, C., Martre, P., & Tardieu, F. (2018). Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time. Proceedings of the National Academy of Sciences, 115(42), 10,642–10,647.
Parent, B., & Tardieu, F. (2012). Temperature responses of developmental processes have not been affected by breeding in different ecological areas for 17 crop species. New Phytologist, 194(3), 760–774.
Parent, B., Turc, O., Gibon, Y., Stitt, M., & Tardieu, F. (2010). Modelling temperature-compensated physiological rates, based on the co-ordination of responses to temperature of developmental processes. Journal of Experimental Botany, 61(8), 2057–2069.
Passioura, J., & Angus, J. (2010). Improving productivity of crops in water-limited environments, Advances in agronomy (vol. 106, pp. 37–75). Amsterdam, The Netherlands:Elsevier.
Pierce, D. (2015). ncdf4: Interface to unidata netcdf (version 4 or earlier) format data files [Computer software manual]. Retrieved from http://CRAN.R-project.org/package=ncdf4 (R package version 1.15).
Pirttioja, N., Carter, T. R., Fronzek, S., Bindi, M., Hoffmann, H., Palosuo, T., Ruiz-Ramos, M., Tao, F., Trnka, M., Acutis, M., Asseng, S., Baranowski, P., Basso, B., Bodin, P., Buis, S., Cammarano, D., Deligios, P., Destain, M.-F., Dumont, B., Ewert, R., Ferrise, R., François, L., Gaiser, T., Hlavinka, P., Jacquemin, I., Kersebaum, K. C., Kollas, C., Krzyszczak, J., Lorite, I. J., Minet, J., Minguez, M. I., Montesino, M., Moriondo, M., Müller, C., Nendel, C., Üztürk, I., Perego, A., Rodríguez, A., Ruane, A. C., Ruget, F., Sanna, M., Semenov, M. A., Slawinski, C., Stratonovitch, P., Supit, I., Waha, K., Wang, E., Wu, L., Zhao, Z., & Rötter, R. P. (2015). Temperature and precipitation effects on wheat yield across a European transect: A crop model ensemble analysis using impact response surfaces. Climate Research, 65, 87–105.
Porter, J. R., & Gawith, M. (1999). Temperatures and the growth and development of wheat: A review. European journal of agronomy, 10(1), 23–36.
Portmann, F. T., Siebert, S., & Döll, P. (2010). MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. Global Biogeochemical Cycles, 24(1), GB1011.
Prasad, P. V., Boote, K. J., & Allen Jr., L. H. (2006). Adverse high temperature effects on pollen viability, seed-set, seed yield and harvest index of grain-sorghum [Sorghum bicolor (L.) Moench] are more severe at elevated carbon dioxide due to higher tissue temperatures. Agricultural and forest meteorology, 139(3-4), 237–251.
Pugh, T. A. M., Müller, C., Elliott, J., Deryng, D., Folberth, C., Olin, S., Schmid, E., & Arneth, A.(2016). Climate analogues suggest limited potential for intensification of production on current croplands under climate change. Nature Communications, 7, 12608.
R Core Team (2018). R: A language and environment for statistical computing [Computer software manual]. Vienna, Austria. Retrieved from https://www.R-project.org/
Rezaei, E. E., Siebert, S., Hüging, H., & Ewert, F. (2018). Climate change effect on wheat phenology depends on cultivar change. Scientific reports, 8(1), 4891.
Rezaei, E. E., Webber, H., Gaiser, T., Naab, J., & Ewert, F. (2015). Heat stress in cereals: Mechanisms and modelling. European Journal of Agronomy, 64, 98–113.
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., Neumann, K., Piontek, F., Pugh, T. A., Schmid, E., Stehfest, E., Yang, H., & Jones, J. W. (2014). Assessing agricultural risks of climate change in the 21st century in a Global Gridded Crop Model Intercomparison. Proceedings of the National Academy of Sciences, 111(9), 3268–3273.
Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., & Winter, J. M. (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology, 170, 166–182.
Rosenzweig, C., Ruane, A. C., Antle, J., Elliott, J., Ashfaq, M., Chatta, A. A., Ewert, F., Folberth, C., Hathie, I., Havlik, P., Hoogenboom, G., Lotze-Campen, H., Mason-D'Croz, D., MacCarthy, D., Mencos Contreras, E., Müller, C., Perez-Dominguez, I., Phillips, M., Porter, C., Raymundo, R. M., Sands, R., Schleussner, C.-F., Valdivia, R., Valin, H., & Wiebe, K. (2018). Coordinating AgMIP data and models across global and regional scales for 1.5° C and 2.0° C assessments. Philosophical Transactions of the Royal Society A, 376(2119), 20160455.
Ruane, A. C., Goldberg, R., & Chryssanthacopoulos, J. (2015). Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation. Agricultural and Forest Meteorology, 200, 233–248.
Ruiz-Ramos, M., Ferrise, R., Rodríguez, A, Lorite, I., Bindi, M., Carter, T. R., Fronzek, S., Palosuo, T., Pirttioja, N., Baranowski, P., Buis, S., Cammarano, D., Chen, Y., Dumont, B., Ewert, F., Gaiser, T., Hlavinka, P., Hoffmann, H., Höhn, J. G., Jurecka, F., Kersebaum, K. C., Krzyszczak, J., Lana, M., Mechiche-Alami, A., Minet, J., Montesino, M., Nendel, C., Porter, J. R., Ruget, F., Semenov, M. A., Steinmetz, Z., Stratonovitch, P., Supit, I., Tao, F., Trnka, M., De Wit, A., & Rötter, R. P. (2018). Adaptation response surfaces for managing wheat under perturbed climate and CO 2 in a mediterranean environment. Agricultural Systems, 159, 260–274.
Sacks, W. J., Deryng, D., Foley, J. A., & Ramankutty, N. (2010). Crop planting dates: An analysis of global patterns. Global Ecology and Biogeography, 19(5), 607–620.
Sacks, W. J., & Kucharik, C. J. (2011). Crop management and phenology trends in the us corn belt: Impacts on yields, evapotranspiration and energy balance. Agricultural and Forest Meteorology, 151(7), 882–894.
Schauberger, B., Archontoulis, S., Arneth, A., Balkovic, J., Ciais, P., Deryng, D., Elliott, J., Folberth, C., Khabarov, N., Müller, C., Pugh, T. A., Rolinski, S., Schaphoff, S., Schmid, E., Wang, X., Schlenker, W., & Frieler, K. (2017). Consistent negative response of US crops to high temperatures in observations and crop models. Nature communications, 8, 13931.
Schleussner, C.-F., Deryng, D., Müller, C., Elliott, J., Saeed, F., Folberth, C., Liu, W., Wang, X., Pugh, T. A., Thiery, W., & Seneviratne, S. I. (2018). Crop productivity changes in 1.5° C and 2° C worlds under climate sensitivity uncertainty. Environmental Research Letters, 13(6), 64007.
Semenov, M., Stratonovitch, P., Alghabari, F., & Gooding, M. (2014). Adapting wheat in Europe for climate change. Journal of Cereal Science, 59(3), 245–256.
Siebert, S., Webber, H., Zhao, G., & Ewert, F. (2017). Heat stress is overestimated in climate impact studies for irrigated agriculture. Environmental Research Letters, 12(5), 54023.
Smith, N. G., & Dukes, J. S. (2013). Plant respiration and photosynthesis in global-scale models: Incorporating acclimation to temperature and CO 2. Global Change Biology, 19(1), 45–63.
Tack, J., Barkley, A., & Hendricks, N. (2017). Irrigation offsets wheat yield reductions from warming temperatures. Environmental Research Letters, 12(11), 114027.
von Bloh, W., Schaphoff, S., Müller, C., Rolinski, S., Waha, K., & Zaehle, S. (2018). Implementing the nitrogen cycle into the dynamic global vegetation, hydrology and crop growth model LPJmL (version 5). Geoscientific Model Development, 11, 2789–2812.
Von Caemmerer, S. (2000). Biochemical models of leaf photosynthesis. PO Box 1139 (150 Oxford Street) Collingwood VIC 3066 Australia:Csiro publishing.
Waha, K., Van Bussel, L., Müller, C, & Bondeau, A. (2012). Climate-driven simulation of global crop sowing dates. Global Ecology and Biogeography, 21(2), 247–259.
Wang, E., Martre, P., Zhao, Z., Ewert, F., Maiorano, A., Rötter, R. P., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Reynolds, M. P., Alderman, P. D., Aggarwal, P. K., Anothai, J., Basso, B, Biernath, C, Cammarano, D, Challinor, A. J., De Sanctis, G., Doltra, J., Dumont, B., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kersebaum, K. C., Koehler, A.-K., Liu, L., Müller, C., Naresh Kumar, S., Nendel, C., O'Leary, G., Olesen, J. E., Palosuo, T., Priesack, E., Eyshi Rezaei, E., Ripoche, D., Ruane, A. C., Semenov, M. A., Shcherbak, I., Stõckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wallach, D., Wang, Z., Wolf, J., Zhu, Y., & Asseng, S. (2017). The uncertainty of crop yield projections is reduced by improved temperature response functions. Nature plants, 3(8), 17102.
Webber, H., Martre, P., Asseng, S., Kimball, B., White, J., Ottman, M., Wall, G. W., De Sanctis, G., Doltra, J., Grant, R., Kassie, B., Maiorano, A., Olesen, J. E., Ripoche, D., Rezaei, E. E., Semenov, M. A., Stratonovitch, P., & Ewert, F. (2017). Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison. Field Crops Research, 202, 21–35.
Wickham, H. (2009). ggplot2: Elegant graphics for data analysis. New York:Springer-Verlag.
Wickham, H. (2011). The split-apply-combine strategy for data analysis. Journal of Statistical Software, 40(1), 1–29.
Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Garnett, T., Tilman, D., DeClerck, F., Wood, A., Jonell, M., Clark, M., Gordon, L. J., Fanzo, J., Hawkes, C., Zurayk, R., Rivera, J. A., De Vries, W., Sibanda, L. M., Afshin, A., Chaudhary, A., Herrero, M., Agustina, R., Branca, F., Lartey, A., Fan, S., Crona, B., Fox, E., Bignet, V., Troell, M., Lindahl, T., Singh, S., Cornell, S. E., Reddy, K. S., Narain, S., Nishtar, S., & Murray, C. J. L. (2019). Food in the Anthropocene: The EAT–Lancet Vommission on healthy diets from sustainable food systems. The Lancet, 393(10170), 447–492.
Wirsenius, Stefan (2000). Human use of land and organic materials: Modeling the turnover of biomass in the global food system. Göteborg, Sweden:Chalmers University of Technology.
Yamori, W., Hikosaka, K., & Way, D. A. (2014). Temperature response of photosynthesis in C 3, C 4, and CAM plants: Temperature acclimation and temperature adaptation. Photosynthesis research, 119(1-2), 101–117.
Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P., Durand, J.-L., Elliott, J., Ewert, F., Janssens, I. A., Li, T., Lin, E., Liu, Q., Martre, P., Müller, C., Peng, S., Peñuelas, J., Ruane, A. C., Wallach, D., Wang, T., Wu, D., Liu, Z., Zhu, Y., Zhu, Z., & Asseng, S. (2017). Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences, 114(35), 9326–9331.
Zhu, P., Zhuang, Q., Archontoulis, S. V., Bernacchi, C., & Müller, C. (2019). Dissecting the nonlinear response of maize yield to high temperature stress with model-data integration. Global change biology, 25(7), 2470–2484.