Author
LIU, BING - Nanjing Tech University | |
ASSENG, SENTHOLD - University Of Florida | |
MULLER, CHRISTOPH - Potsdam Institute | |
EWERT, FRANT - University Of Bonn | |
ELLIOTT, JOSHUA - Columbia University - New York | |
LOBELL, DAVID - Stanford University | |
MARTE, PIERRE - Inland Northwest Research Alliance, Inra | |
RUANE, ALEX - Columbia University - New York | |
WALLACH, DANIEL - Inland Northwest Research Alliance, Inra | |
JONES, JAMES - University Of Florida | |
ROSENZWEIG, CYNTHIA - Columbia University - New York | |
AGGARWAL, PRAMOD - International Water Management Institute | |
ALDERMAN, PHILLIP - International Maize & Wheat Improvement Center (CIMMYT) | |
ANOTHAI, JAKARAT - Prince Of Songkla University | |
BASSO, BRUNO - Michigan State University | |
BIERNATH, CHRISTIAN - German Research Center For Environmental Health | |
CAMMARANO, DAVIDE - The James Hutton Institute | |
CHALLINOR, ANDY - University Of Leeds | |
DERYNG, DELPHINE - University Of East Anglia | |
DE SANCTIS, GIACOMO - European Commission-Joint Research Centre (JRC) | |
DOLTRA, JORDI - Center For Agricultural Research And Training, Cantabria Government (CIFA) | |
FERERES, ELIAS - Universidad De Cordoba | |
FOLBERTH, CHRISTIAN - Swiss Federal Institute Of Technology Zurich | |
GARCIA-VILA, MARGARITA - International Center For Tropical Agriculture (CIAT) | |
GAYLER, SEBASTIAN - University Of Tubingen | |
HOOGENBOOM, GERRIT - Washington State University | |
HUNT, L.A. - University Of Guelph | |
IZAURRALDE, ROBERTO - University Of Maryland | |
JABLOUN, MOHAMED - Aarhus University | |
JONES, CURTIS - University Of Maryland | |
KERSEBAUM, KURT - Leibniz Institute | |
Kimball, Bruce | |
KOEHLER, ANN-KRISTIN - University Of Leeds | |
KUMAR, SOORA NARESH - Indian Agricultural Research Institute | |
NENDEL, CLAAS - Leibniz Institute | |
O'LEARY, GARY - Department Of Environment And Primary Industries | |
OLESEN, JORGEN - Aarhus University | |
OTTMAN, MICHAEL - University Of Arizona | |
PALOSUO, TARU - Mtt Agrifood Research Finland | |
PRASAD, P.V. VARA - Kansas State University | |
PRIESACK, ECKART - German Research Center For Environmental Health | |
PUGH, THOMAS - Karlsruhe Institute Of Technology | |
REYNOLDS, MATTHEW - International Maize & Wheat Improvement Center (CIMMYT) | |
REZAEI, EHSAN - University Of Bonn | |
ROTTER, REIMUND - Mtt Agrifood Research Finland | |
SCHMID, ERWIN - University Of Natural Resources & Applied Life Sciences - Austria | |
SEMENOV, MIKHAIL - Rothamsted Research | |
SHCHERBAK, IURII - Michigan State University | |
STEHFEST, ELKE - Netherlands Environmental Assessment Agency | |
STOCKLE, CLAUDIO - Washington State University | |
STRATONOVITCH, PIERRE - Rothamsted Research | |
STRECK, THILO - University Of Hohenheim | |
SUPIT, IWAN - Wageningen University | |
TAO, FULU - Chinese Academy Of Sciences | |
THORBURN, PETER - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
WAHA, KATHARINA - Potsdam Institute | |
Wall, Gerard - Gary | |
WANG, ENLI - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
White, Jeffrey | |
WOLF, JOOST - Wageningen University | |
ZHAO, ZHANG - China Agricultural University | |
ZHU, YAN - Nanjing Agricultural University |
Submitted to: Nature Climate Change
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 8/2/2016 Publication Date: 10/20/2016 Publication URL: http://handle.nal.usda.gov/10113/63143 Citation: Liu, B., Asseng, S., Muller, C., Ewert, F., Elliott, J., Lobell, D.B., Marte, 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., Izaurralde, R.C., Jabloun, M., Jones, C.D., Kersebaum, K.C., Kimball, B.A., Koehler, A., Kumar, S., Nendel, C., O'Leary, G., Olesen, J.E., Ottman, M.J., Palosuo, T., Prasad, P., Priesack, E., Pugh, T.A., Reynolds, M., Rezaei, E., Rotter, R.P., Schmid, E., Semenov, M.A., Shcherbak, I., Stehfest, E., Stockle, 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 negative impacts of temperature on global wheat yield estimated by three independent methods. Nature Climate Change. 6:1130-1138. Interpretive Summary: As growing season temperatures rise due to global warming, the yields of wheat (the foremost food and feed crop) are likely to be affected. To determine the probable magnitude on future world wheat production, three independent methods of estimation were utilized. Previously, however, the high temperature aspects of an ensemble of physiological-process-based wheat growth models had been tested using field data obtained over a very wide range of temperatures in Arizona by ARS researchers and a University of Arizona collaborator at Maricopa, Arizona, as well as on some other datasets from other parts of the world. One method of estimation used the model ensemble on a grid over major wheat producing areas. A second used the ensemble at points where good weather and soils data were available and then assigned representative areas to each point. The third method used county-based historical wheat yield and weather data in a statistical model. Projected temperature impacts from the three methods were similar for major wheat producing areas, which gives credence to all three methods. Yields are projected to decrease 4.5% to 6.0% per 1.0°C rise in global temperature. This research will benefit all consumers of food and fiber. Technical Abstract: The potential impact of global temperature change on global wheat production has recently been assessed with different methods, scaling and aggregation approaches. Here we show that grid-based simulations, point-based simulations, and statistical regressions produce similar estimates of temperature impact on wheat yields at global and national scales. With a 1°C global temperature increase, global wheat yield is projected to decline by between 4.1% and 6.0%, a relatively narrow range considering the different methods used. Projected temperature impacts from different methods were very similar for major wheat producing countries China, India, USA and France, but less so for Russia. At the location scale, the point-based method simulated higher responses to temperature than the grid-based method. Specifically, the point-based method tended to predict more yield loss with increasing temperature at cooler locations and less yield loss at warmer locations. However, both point-based and grid-based simulations, and to some extent the statistical regressions, were consistent in predicting that warmer regions are likely to suffer more yield reductions with increasing temperature than cooler regions. By forming a multi-method ensemble, it was possible to quantify 'method uncertainty' in addition to model uncertainty. Use of multi-methods model ensembles should significantly improves the accuracy of estimates of climate impacts on global food security. |