2014

Elliott, J., D. Deryng, C. Müller, K. Frieler, M. Konzmann, D. Gerten, M. Glotter, M. Flörke, Y. Wada, N. Best, S. Eisner, B.M. Fekete, C. Folberth, I. Foster, S.N. Gosling, I. Haddeland, N. Khabarov, F. Ludwig, Y. Masaki, S. Olin, C. Rosenzweig, A.C. Ruane, Y. Satoh, E. Schmid, T. Stacke, Q. Tang, and D. Wisser, 2014: Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc. Natl. Acad. Sci., 111, no. 9, 3239-3244, doi:10.1073/pnas.1222474110.

Huber, V., H.J. Schellnhuber, N.W. Arnell, K. Frieler, A.D. Friend, D. Gerten, I. Haddeland, P. Kabat, H. Lotze-Campen, W. Lucht, M. Parry, F. Piontek, C. Rosenzweig, J. Schewe, and L. Warszawski, 2014: Climate impacts research: Beyond patchwork. Earth Syst. Dyn., 5, 399-408, doi:10.5194/esd-5-399-2014.

Rosenzweig, C., 2014: Fiume Rovinoso: Ruinous river. J. Extreme Events, 1, no. 1, 1402002, doi:10.1142/S2345737614020023.

Rosenzweig, C., R.M. Horton, D.A. Bader, M.E. Brown, R. DeYoung, O. Dominguez, M. Fellows, L. Friedl, W. Graham, C. Hall, S. Higuchi, L. Iraci, G. Jedlovec, J. Kaye, M. Loewenstein, T. Mace, C. Milesi, W. Patzert, P.W. Stackhouse, and K. Toufectis, 2014: Enhancing climate resilience at NASA centers: A collaboration between science and stewardship. Bull. Amer. Meteorol. Soc., 95, no. 9, 1351-1363, doi:10.1175/BAMS-D-12-00169.1.

Bassu, S., N. Brisson, J.-L. Durand, K. Boote, J. Lizaso, J.W. Jones, C. Rosenzweig, A.C. Ruane, M. Adam, C. Baron, B. Basso, C. Biernath, H. Boogaard, S. Conijn, M. Corbeels, D. Deryng, G. De Sanctis, S. Gayler, P. Grassini, J. Hatfield, S. Hoek, C. Izaurralde, R. Jongschaap, A.R. Kemanian, K.C. Kersebaum, S.H. Kim, N.S. Kumar, D. Makowski, C. Müller, C. Nendel, E. Priesack, M.V. Pravia, F. Sau, I. Shcherbak, F. Tao, E. Teixeira, D. Timlin, and K. Waha, 2014: How do various maize crop models vary in their responses to climate change factors? Glob. Change Biol., 20, no. 7, 2301-2320, doi:10.1111/gcb.12520.

Elliott, J., D. Deryng, C. Müller, K. Frieler, M. Konzmann, D. Gerten, M. Glotter, M. Flörke, Y. Wada, N. Best, S. Eisner, B.M. Fekete, C. Folberth, I. Foster, S.N. Gosling, I. Haddeland, N. Khabarov, F. Ludwig, Y. Masaki, S. Olin, C. Rosenzweig, A.C. Ruane, Y. Satoh, E. Schmid, T. Stacke, Q. Tang, and D. Wisser, 2014: Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc. Natl. Acad. Sci., 111, no. 9, 3239-3244, doi:10.1073/pnas.1222474110.

Piontek, F., C. Müller, T.A.M. Pugh, D.B. Clark, D. Deryng, J. Elliott, F.de J. Colón González, M. Flörke, C. Folberth, W. Franssen, K. Frieler, A.D. Friend, S.N. Gosling, D. Hemming, N. Khabarov, H. Kim, M.R. Lomas, Y. Masaki, M. Mengel, A. Morse, K. Neumann, N. Nishin, S. Ostberg, R. Pavlick, A.C. Ruane, J. Schewe, E. Schmid, T. Stack, Q. Tang, Z.D. Tessler, A.M. Tompkins, L. Warszawski, D. Wisser, and H.J. Schellnhuber, 2014: Multisectoral climate impact hotspots in a warming world. Proc. Natl. Acad. Sci., 111, no. 9, 3233-3238, doi:10.1073/pnas.1222471110.

Rosenzweig, C., J. Elliott, D. Deryng, A.C. Ruane, C. Müller, A. Arneth, K.J. Boote, C. Folberth, M. Glotter, N. Khabarov, K. Neumann, F. Piontek, T.A.M. Pugh, E. Schmid, E. Stehfest, H. Yang, and J.W. Jones, 2014: Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc. Natl. Acad. Sci., 111, no. 9, 3268-3273, doi:10.1073/pnas.1222463110.

Ruane, A.C., S. McDermid, C. Rosenzweig, G.A. Baigorria, J.W. Jones, C.C. Romero, and L.D. Cecil, 2014: Carbon-temperature-water change analysis for peanut production under climate change: A prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP). Glob. Change Biol., 20, no. 2, 394-407, doi:10.1111/gcb.12412.

Singels, A., M. Jones, F. Marin, A.C. Ruane, and P. Thorburn, 2014: Predicting climate change impacts on sugarcane production at sites in Australia, Brazil and South Africa using the Canegro model. Sugar Tech, 16, no. 4, 347-355, doi:10.1007/s12355-013-0274-1.

Savary, S. and Willocquet, L. 2014. Simulation Modeling in Botanical Epidemiology and Crop Loss Analysis. The Plant Health Instructor. DOI: 10.1094/PHI-A-2014-0314-01.

Antle, J. M., J. J. Stoorvogel, and R. O. Valdivia. (2014). New parsimonious simulation methods and tools to assess future food and environmental security of farm populations. Phil. Trans. R. Soc. B, 369, 1–15.

Asseng S, E. F., Martre P, Rötter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, De Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler A-K, Müller C, Naresh Kumar S, Nendel C, O’Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wang E, Wallach D, Wolf J, Zhao Z, Zhu Y. (2014). Rising temperatures reduce global wheat production. Nature Climate Change.

Bassu, S., N. Brisson, J. Durand, K. J. Boote, J. Lizaso, J. W. Jones, C. Rosenzweig, A. C. Ruane, M. Adam, C. Baron, B. Basso, C. Biernath, H. Boogaard, S. Conijn, M. Corbeels, D. Deryng, G. De Sanctis, S. Gayler, P. Grassini, J. Hatfield, S. Hoek, C. Izaurralde, R. Jongschaap, A. Kemanian, K. Kersebaum, C. Müller, C. Nendel, E. Priesack, M. V. Pravia Nin, F. Sau, I. Shcherbak, F. Tao, E. Teixeira, D. Makowski, D. Timlin, and K. Waha. (2014). How do various maize crop models vary in their responses to climate change factors? Glob. Change Biol, 20(7), 2301–2320.

Bassu, S., & Nadine Brisson, J. – L. D., Kenneth Boote, Jon Lizaso, James W. Jones, Cynthia Rosenzweig, Alex C. Ruane, Myriam Adam, Christian Baron, Bruno Basso, Christian Biernath, Hendrik Boogaard, Sjaak Conijn, Marc Corbeels, Delphine Deryng, Giacomo De Sanctis, Sebastian Gayler, Patricio Grassini, Jerry Hatfield, Steven Hoek, Cesar Izaurralde, Raymond Jongschaap, Armen R. Kemanian, K. Christian Kersebaum, Soo-Hyung Kim, Naresh S. Kumar24, David Makowski1, Christoph MÃ1⁄4ller25, Claas Nendel22, Eckart Priesack, Maria Virginia Pravia, Federico Sau, Iurii Shcherbak, Fulu Tao, Edmar Teixeira, Dennis Timlin, Katharina Waha. (2014). How do various maize crop models vary in their responses to climate change factors? Global Change Biology, 20(7), 2301–2320.

Elliott, Joshua, & Hudson, N.: A. M. I. P. C. (2014). ADVANCING GLOBAL AGRICULTURAL ASSESSMENTS: Building the Next- Generation Global Gridded Biophysical Model System.

Gustafson, D. I., Jones, J.W., Porter, C.H., Hyman, G., Edgerton, M.D., Gocken, T., Shryock, J., Doane, M., Budreski, K., Stone, C., Healy, D., Ramsey, N. (2014). Climate adaptation imperatives: untapped global maize yield opportunities. International Journal of Agricultural Sustainability, ahead-of-print, 1–16.

Kihara, J. (2014). Report Sub-Saharan Africa, South Asia Integrated Assessment Results Workshop.

Montle, B. P., and M. Y. Teweldemedhin. (2014). Assessment of farmers’ perceptions and the economic impact of climate change in Namibia: Case study on small-scale irrigation farmers (SSIFs) of Ndonga Linena irrigation project. Journal of Development and Agricultural Economics, 6(11), 443–454.

Müller, C., Elliott, J., & Levermann, A. (2014). Food security: Fertilizing hidden hunger. Nature Clim. Change, 4, 540–541.

Musinguzi P, E., P, Tenywa JS, Mwanjalolo M, Basamba TA, Tenywa MM, Porter C. (2014). Using DSSAT-CENTURY Model to Simulate Soil Organic Carbon Dynamics Under a Low-Input Maize Cropping System. Journal of Agricultural Science, 6(5), 120–131.

Mutter, C., N. Hudson, S. Lifson, A. Ruane. (2014). AgMIP 4th Annual Global Workshop Report.

Myers, S. S., A. Zanobetti, I. Kloog, P. Huybers, A. D. B. Leakey, A.J. Bloom, E. Carlisle, L.H. Dietterich, G. Fitzgerald, T. Hasegawa, N. M. Holbrook, R. L. Nelson, M.J. Ottman, V. Raboy, H. Sakai, K. A. Sartor, J. Schwartz, S. Seneweera, M. Tausz, and Y. Usui. (2014). Increasing CO2 threatens human nutrition. Nature, 510, 139–142.

Nelson, G. C., Dominique van der Mensbrugghe, Tomoko Hasegawa, Kiyoshi Takahashi, Ronald D. Sands, Page Kyle, Katherine Calvin, Petr Havlik, Hugo Valin, Daniel Mason d’Croz, Hans von Meijl, Andrzej Tabeau, Christoph Schmitz, Hermann Lotze-Campen, Christoph Müller, and Martin von Lampe. (2014). Agriculture and Climate Change in Global Scenarios: Why Don’t the Models Agree? PNAS, 45(1), 85–101.

Porter, C. H., C. Villalobos, D. Holzworth, R. Nelson, J.W. White, I.N. Athanasiadis, S. Janssen, D. Ripoche, J. Cufi, D. Raes, M. Zhang, R. Knapen, R. Sahajpal, K.J. Boote, J.W. Jones. (2014). Harmonization and translation of crop modeling data to ensure interoperability. Environmental Modeling and Software, 62, 495–508.

Ramaraj, A. P. and V. G. (2014). Analysing the uncertainty in climate projected by RCP 4.5 over Coimbatore. Ecology, Environment and Conservation, 20(3), 955–958.

Ramaraj, A. P. and V. G. (2014). Assessment of seasonal rainfall uncertainty over Coimbatore. Trends In Biosciences, 7(10), 935–937.

Reimund P. Rötter. (2014). Robust uncertainty. Nature Climate Change, 4(April 2014), 251–252.

Ruane A. C., S. M., Cynthia Rosenzweig, Guillermo A. Baigorria, James W. Jones, Consuelo C. Romero and L. Dewayne Cecil. (2014). Carbon-Temperature-Water change analysis for peanut production under climate change: a prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP). Global Change Biology, 20, 394–407.

Singels, A., Matthew Jones, Fabio Marin, Alexander Ruane, Peter Thorburn. (2014). Predicting Climate Change Impacts on Sugarcane Production at Sites in Australia, Brazil and South Africa Using the Canegro Model. Sugar Tech, 16(4), 347–355.

Tedeschi, L. O., L. F. L. Cavalcanti, M. A. Fonseca, M. Herrero, and P. K. Thornton. (2014). The evolution and evaluation of dairy cattle models for predicting milk production: an agricultural model intercomparison and improvement project (AgMIP) for livestock. Animal Production Science, 54(12).

Tedeschi, L. O., M. Herrero, and P. K. Thornton. (2014). An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).

Van Wijk, M. T., Rufino, M.C., Enahoro, D., Parsons, D., Silvestri, S., Valdivia, R.O., Herrero, M. (2014). Farm household models to analyse food security in a changing climate: A review. Global Food Security, 3(2), 77–84.

Wallach, D., Thorburn, P. (2014). The error in agricultural systems model prediction depends of the variable being predicted. Environmental Modeling and Software, 62, 487–494.