Selected Publications

In 2013, CCAFS scientists published 392 articles, reports, briefs and other papers.

These publications include

  • 172 peer-reviewed journal articles, 83.1% in ISI Thomson
    journals
  • 1 peer-reviewed CCAFS Report and 1 peer- reviewed CCAFS Policy Brief
  • 23 CCAFS Working Papers
  • 4 Issues of Ag-Clim Letters, a science-policy bulletin (in English
    and French)

Browse the CCAFS Publications library

Global synthesis

  • Campbell B, Kinyangi J, Nersisyan A, Leigh RA, Dibb-Leigh JA, Zougmoré RB, Seré C, Aggarwal P, Hoefner F. 2013. Perspectives: legislating change. Nature 501: S12-S14. DOI: http://dx.doi.org/10.1038/501S12a
  • Garnett T, Appleby MC, Balmford A, Bateman IJ, Benton TG, Bloomer P, Burlingame B, Dawkins M, Dolan L, Fraser D, Herrero M, Smith P, Thornton PK, Toulmin C, Vermeulen SJ, Godfray HCJ. 2013. Sustainable Intensification in agriculture: premises and policies. Science 341: 33-34. DOI: http://dx.doi.org/10.1126/science.1234485
  • Herrero M, Havlík P, Valin H, Notenbaert AM, Rufino M, Thornton PK, Blummel M, Weiss F, Obersteiner M. 2013. Global livestock systems: biomass use, production, feed efficiencies and greenhouse gas emissions. PNAS 110(52): 20888-20893. DOI: http://dx.doi.org/10.1073/pnas.1308149110
  • Herrero M, Thornton PK. 2013. Livestock and global change: emerging issues for sustainable food systems. PNAS 110 (52): 20878-20881. http://www.pnas.org/content/110/52
  • Metzger MJ, Bunce RGH, Jongman RHG, Sayre R, Trabucco A, Zomer R. 2013. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. Global Ecology and Biogeography 22: 630-638. DOI: http://dx.doir.org/10.1111/geb.12022/abstract
  • Neate P. 2013. Climate-smart agriculture success stories from farming communities around the world. Wageningen, Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Technical Centre for Agricultural and Rural Cooperation (CTA). http://ccafs.cgiar.org/publications/climate-smart-agriculture-success-st...
  • Nelson GC, Valin H, Sands RD, Havlík, Petr; Ahammad H, Deryng D, Elliott J, Fujimori S, Hasegawa T, Heyhoe E, Kyle P, Von Lampe M, Lotze-Campen H, Mason-d’Croz D, van Meijl H, van der Mensbrugghe D, Müller C, Popp A, Robertson RD, Robinson S, Schmid E, Schmitz C, Tabeau A, and Willenbockel, Dirk. 2013. Climate change effects on agriculture: economic responses to biophysical shocks. Proceedings of the National Academy of Sciences of the United States of America (PNAS). DOI: http://dx.doi.org/10.1073/pnas.1222465110
  • Neufeldt H, Jahn M, Campbell BM, Beddington JR, DeClerck F, De Pinto A, Gulledge J, Hellin J, Herrero M, Jarvis A, LeZaks D, Meinke H, Rosenstock T, Scholes M, Scholes R, Vermeulen S, Wollenberg E, Zougmoré R. 2013. Beyond climate-smart agriculture: toward safe operating spaces for global food systems. Agriculture & Food Security 2: 12. DOI: http://dx.doi.org/10.1186/2048-7010-2-12
  • Vermeulen SJ, Challinor AJ, Thornton PK, Campbell BM, Eriyagama N, Vervoort JM, Kinyangi J, Jarvis A, Läderach P, Ramirez-Villegas J, Nicklin KJ, Hawkins E, Smith DR. 2013. Addressing uncertainty in adaptation planning for agriculture. PNAS 110 (21): 8357–8362. DOI: http://dx.doi.org/10.1073/pnas.1219441110

Long-Term Adaptation

  • Asseng S, Jones JW, Cammarano D, Ewert F, Angulo C, Rosenzweig C, Ruane AC, Goldberg R, Hatfield JL, Boote KJ, Thorburn PJ, Rötter RP, Palosuo T, Brisson N, Basso B, Shcherbak I, Martre P, Aggarwal PK, Bertuzzi P, Ripoche D, Biernath C, Priesack E, Challinor AJ, Doltra J, Gayler S, Grant R, Heng L, Hooker J, Hunt LA, Ingwersen J, Streck T, Izaurralde RC, Kersebaum KC, Nendel C, Müller C, Waha K, Naresh Kumar S, O'Leary G, Olesen JE, Osborne TM, Semenov MA, Stratonovitch P, Steduto P, Stöckle C, Supit I, Wolf J, Tao F, Travasso M, Wallach D, White JW, Williams JR. 2013. Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3: 827-832. DOI: http://dx.doi.org/10.1038/nclimate1916
  • Challinor AJ, Smith MS, Thornton P. 2013. Use of agro-climate ensembles for quantifying uncertainty and informing adaptation. Agricultural and Forest Meteorology 170: 2-7. DOI: http://dx.doi.org/10.1016/j.agrformet.2012.09.007
  • Garrett KA, Dobson ADM, Kroschel J, Natarajan B, Orlandini S, Tonnang HEZ and Valdivia C. 2013. The effects of climate variability and the color of weather time series on agricultural diseases and pests, and on decisions for their management. Agricultural and Forest Meteorology 170: 216-227. DOI: http://dx.doi.org/10.1016/j.agrformet.2012.04.018
  • Hawkins E, Ho CK, Osborne TM, Fricker TE, Ferro CAT, Challinor AJ. 2013. Increasing influence of heat stress on French maize yields from the 1960s to the 2030s. Global Change Biology 19: 937-947. DOI: http://dx.doi.org/10.1111/gcb.12069
  • Iizumi T, Sakuma H, Yokozawa M, Luo J-J, Challinor AJ, Brown ME, Sakurai G and Yamagata T. 2013. Prediction of seasonal climate-induced variations in global food production. Nature Climate Change 3: 904-908. DOI: http://dx.doi.org/10.1038/nclimate1945
  • Vanbergen AJ, Baude M, Biesmeijer JC, Britton NF, Brown MJF, Bryden J, Budge GE, Bull JC, Carvell C, Challinor AJ, Connolly CN, Evans DJ, Feil EJ, Garratt MP, Greco MK, Heard MS, Jansen VAA, Keeling MJ, Kunin WE, Marris GC, Memmott J, Murray JT, Nicolson SW, Osborne JL, Paxton RJ, Pirk CWW, Polce C, Potts SG, Priest NK, Raine NE, Roberts S, Ryabov EV, Shafir S, Shirley MDF, Simpson SJ, Stevenson PC, Stone GN, Termansen M, Wright GA. 2013. Threats to an ecosystem service: pressures on pollinators. Frontiers in Ecology and Environment 11, 251-259. DOI: http://dx.doi.org/10.1890/120126
  • Warren R, Van Der Wal J, Price J, Welbergen JA, Atkinson I, Ramirez-Villegas J, Osborn TJ, Jarvis A, Shoo LP, Williams SE, Lowe J. 2013. Quantifying the benefit of early climate change mitigation in avoiding biodiversity loss. Nature Climate Change 3: 678-682. DOI: http://dx.doi.org/10.1038/nclimate1887

Climate Risk Management

  • Ines AVM, Das NN, Hansen JW, Njoku EG. 2013. Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction. Remote Sensing of Environment 138: 149–164. DOI: http://dx.doi.org/10.1016/j.rse.2013.07.018
  • Rufino M, Thornton PK, Ng’ang’a SK, Mutie I, Jones PG, van Wijk MT, Hererro M. 2013. Transitions in agro-pastoralist systems of East Africa: impacts on food security and poverty. Agriculture, Ecosystems and Environment 179: 215-230. DOI: http://dx.doi.org/10.1016/j.agee.2013.08.019

Low-Emissions Agriculture

  • Arias-Navarro C, Díaz-Pinés E, Kiese R, Rosenstock TS, Rufino MC, Stern S, Neufeldt H, Verchot LV, Butterbach-Bahl K. 2013 Gas pooling: A sampling technique to overcome spatial heterogeneity of soil greenhouse gas fluxes. Soil Biology & Biochemistry 67: 20-23. DOI: http://dx.doi.org/10.1016/j.soilbio.2013.08.011
  • Milne E, Neufeldt H, Rosenstock T, Smalligan M, Cerri CE, Malin D, Easter M, Bernoux M, Ogle S, Casarim F, Pearson T, Bird DN, Steglish E, Ostwald M, Denef K, Paustian K. 2013. Methods for the quantification of GHG emissions at the landscape level for developing countries in smallholder contexts. Environmental Research Letters 8: 015019. DOI: http://dx.doi.org/10.1088/1748-9326/8/1/015019
  • Newton P, Agrawal A, Wollenberg E. 2013. Enhancing the sustainability of commodity supply chains in tropical forest and agricultural landscapes. Global Environmental Change 23: 1761-1772. DOI: http://dx.doi.org/10.1016/j.gloenvcha.2013.08.004
  • Olander L, Wollenberg E, Tubiello F, Herold M. 2013. Advancing agricultural greenhouse gas quantification. Environmental Research Letters 8: 011002.
  • Smith P, Haberl H, Popp A, Erb K, Lauk C, Harper R, Tubiello F de Siqueira P, A Jafari M, Sohi S, Masera O, Böttcher H, Berndes G, Bustamante M, Ahammad H, Clark H, Dong H, Elsiddig E, A Mbow C, Ravindranath N, H Rice C, W Robledo-Abad C, Romanovskaya A, Sperling F, Herrero M, House I, Rose S. 2013. How much land based greenhouse gas mitigation can be achieved without compromising food security and environmental goals? Global Change Biology 19(8): 2285-2302. DOI: http://dx.doi.org/10.1111/gcb.12160
  • Lubbers IM, van Groenigen KJ, Fonte SJ, Six J, Brussaard L, van Grorningen JW. 2013. Greenhouse-gas emissions from soils increased by earthworms. Nature Climate Change 3: 187-194. DOI: http://dx.doi.org/10.1038/nclimate1692

Scenarios, models and tools

  • Chaudhury, M Vervoort, J Kristjanson, P Ericksen, P Ainslie, A. 2013. Participatory scenarios as a tool to link science and policy on food security under climate change in East Africa. Regional Environmental Change 13 (2): 389-398. DOI: http://dx.doi.org/10.1007/s10113-012-0350-1
  • Heinke J, Ostberg S, Schaphoff S, Frieler K, Müller C, Gerten D, Meinshausen M, Lucht W. 2013. A new climate dataset for systematic assessments of climate change impacts as a function of global warming. Geoscientific Model Development 6:1689-1703. DOI: http://dx.doi.org/10.5194/gmd-6-1689-2013
  • Jones PG, Thornton PK. 2013. Generating downscaled weather data from a suite of climate models for agricultural modelling applications. Agricultural Systems 114: 1-5. DOI: http://dx.doi.org/10.1016/j.agsy.2012.08.002
  • Läderach P, Martinez-Valle A, Schroth G, Castro N. 2013. Predicting the future climatic suitability for cocoa farming of the world’s leading producer countries, Ghana and Côte d’Ivoire. Climatic Change 119: 841–854. http://dx.doi.org/10.1007/s10584-013-0774-8
  • Ramírez Villegas J, Jarvis A, Läderach P. 2013. Empirical approaches for assessing impacts of climate change on agriculture: the EcoCrop model and a case study with grain sorghum. Agricultural and Forest Meteorology 170: 67-78. DOI: http://dx.doi.org/10.1016/j.agrformet.2011.09.005
  • Rosenstock TS, Diaz-Pines E, Zuazo P, Jordan G, Predotova M, Mutuo P, Abwanda S, Thiong’o M, Buerkert A, Rufino M, Kiese R, Neufeldt H, Butterbach-Bahl K. 2013. Accuracy and precision of photoacoustic spectroscopy not guaranteed. Global Change Biology 19: 3565-3567. DOI: http://dx.doi.org/10.1111/gcb.12332
  • Vågen TG, Winowiecki LA. 2013. Mapping of soil organic carbon stocks for spatially explicit assessments of climate change mitigation potential. Environmental Research Letters 8: 1-9. DOI: http://dx.doi.org/10.1088/1748-9326/8/1/015011

Gender and climate change

  • Beuchelt T. 2013. Integrating gender aspects in quantitative research: A manual for researchers on agriculture, food security and climate change for rural development. International Maize and Wheat Improvement Center (CIMMYT).
  • Beuchelt TD, Badstue L. 2013. Gender, nutrition- and climate-smart food production: opportunities and trade-offs. Food Security 5(5): 709-721. DOI: http://dx.doi.org/10.1007/s12571-013-0290-8
  • Farnworth C, Kristjanson P, Rijke E. 2013. ‘Climate smart’ agriculture and beyond. In: Farnworth C, Fones Sundell M, Nzioki A, Shivutse V, Davis M. Transforming gender relations in agriculture in sub-Saharan Africa. Stockholm, Sweden: Swedish International Agricultural Network Initiative, Stockholm Environment Institute and SIDA.