Robust spatial frameworks for leveraging research on sustainable crop intensification

Global Food Security

Volumn 14, Issue , 2017, Pages 18-22

  Grassini, Patricio ^a   Pittelkow, Cameron M ^b   Cassman, Kenneth G ^a   Yang, Haishun S ^a   Archontoulis, Sotirios ^c   Licht, Mark ^c   Lamkey, Kendall R ^c   Ciampitti, Ignacio A ^d   Coulter, Jeffrey A ^e   Brouder, Sylvie M ^f   Volenec, Jeffrey J ^f   Guindin Garcia, Noemi ^g  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c IOWA STATE UNIVERSITY   (United States)

^d KANSAS STATE UNIVERSITY   (United States)

^e UNIVERSITY OF MINNESOTA   (United States)

^f PURDUE UNIVERSITY   (United States)

^g Research and Development Division   (United States)

Author keywords

Agricultural data; Crop intensification; Crop system; Productivity; Spatial framework; Sustainability

Indexed keywords

EID: 85009505636     PISSN: 22119124     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gfs.2017.01.002     Document Type: Review

References (32)

1. Aramburu-Merlos, F., Monzon, J.P., Mercau, J.L., Taboada, M., Andrade, F.H., Hall, A.J., Jobbagy, E., Cassman, K.G., Grassini, P., Potential for crop production increase in Argentina through closure of existing yield gaps. Field Crops Res. 184 (2015), 145–154.
2. Brouder, S.M., Gomez-Macpherson, H., The impact of conservation agriculture on smallholder agricultural yields: a scoping review of the evidence. Agric. Ecosyst. Environ. 187 (2014), 11–32.
3. Burney, J., Davis, S.J., Lobell, D.B., Greenhouse gas mitigation by agricultural intensification. Proc. Natl. Acad. Sci. U.S.A. 107 (2010), 12052–12057.
4. Cassman, K.G., Dobermann, A., Walters, D.T., Yang, H., Meeting cereal demand while protecting natural resources and improving environmental quality. Annu. Rev. Environ. Resour. 28 (2003), 315–358.
5. Elliott, J., Kelly, D., Chryssanthacopoulosc, J., Glotter, M., Jhunjhnuwala, K., Best, N., Wilde, M., Foster, I., The parallel system for integrating impact models and sectors (pSIMS). Environ. Model. Softw. 62 (2014), 509–5160.
6. Falkenmark, M., Lundqvist, J., Klohn, W., Postel, S., Wallace, J., Shuval, H., Seckler, D., Rockström, J., Water scarcity as a key factor behind global food insecurity: round table discussion. Ambio 27 (1998), 148–154.
7. Gbegbelegbe, S., Cammarano, D., Asseng, S., Robertson, R., Chung, U., Adam, M., Abdalla, O., Payne, T., Reynolds, M., Sonder, K., Shiferaw, B., Nelson, G., Baseline simulation for global wheat production with CIMMYT mega-environment specific cultivars. Field Crops Res., 2016, 10.1016/j.fcr.2016.06.010.
8. Global Yield Gap Atlas. Available at: 〈 www.yieldgap.org〉.
9. Grassini, P., Eskridge, K., Cassman, K.G., Distinguishing between yield advances and yield plateaus in historical crop production trends. Nat. Comm., 4, 2014, 2918.
10. Grassini, P., Van Bussel, L.G.J., Van Wart, J., Wolf, J., Claessens, L., Yang, H., Boogaard, H., de Groot, H., van Ittersum, M.K., Cassman, K.G., How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis. Field Crops Res. 177 (2015), 49–63.
11. Hochman, Z., Gobbett, D., Horan, H., Navarro Garcia, J., Data rich yield gap analysis of wheat in Australia. Field Crops Res. 197 (2016), 97–106.
12. IUCN, 2014. The IUCN Red List of Threatened Species. Version 2014.3. Available at: 〈 http://www.iucnredlist.org〉.
13. Laurance, W.F., Sayer, J., Cassman, K.G., Agricultural expansion and its impact on tropical nature. Trends Ecol. Evol. 29 (2014), 107–116.
14. Lin, M., Huybers, P., Reckoning wheat yield trends. Environ. Res. Lett., 7, 2012, 024016.
15. Linquist, B., Groenigen, K.J., Adviento‐Borbe, M.A., Pittelkow, C., van Kessel, C., An agronomic assessment of greenhouse gas emissions from major cereal crops. Glob. Change Biol. 18 (2012), 194–209.
16. Morell, F.J., Yang, H.S., Cassman, K.G., Van Wart, J., Elmore, R.W., Licht, M., Coulter, J.A., Ciampitti, I.A., Pittelkow, C.M., Brouder, S.M., Thomison, P., Lauer, J., Graham, C., Massey, R., Grassini, P., Can crop simulation models be used to predict local to regional maize yields and total production in the U.S. corn Belt?. Field Crops Res. 192 (2016), 1–12.
17. Mourtzinis, S., Rattalino Edreira, J.I., Conley, S.P., Grassini, P., From grid to field: assessing quality of gridded weather data for agricultural applications. Eur. J. Agron. 82 (2017), 163–172.
18. Pittelkow, C.M., Linquist, B.A., Lundy, M.E., Liang, X.Q., van Groenigen, K.J., Lee, J., van Gestel, N., Six, J., Venterea, R.T., van Kessel, C., When does no-till yield more? A global meta-analysis. Field Crops Res. 183 (2015), 156–168.
19. Rosegrant, M.W., Ringler, C., Zhu, T., Water for agriculture: maintaining food security under growing scarcity. Annu. Rev. Environ. Res. 34 (2009), 205–222.
20. Rötter, R.P., Hoanh, C.T., Laborte, A.G., Van Keulen, H., Van Ittersum, M.K., Dreiser, C., Van Diepen, C.A., De Ridder, N., Van Laar, H.H., Integration of systems network (SysNet) tools for regional land use scenario analysis in Asia. Environ. Model. Softw. 20 (2005), 291–307.
21. Shirsat, P.B., Aggarwal, P.K., Thornton, P.K., Dunnett, A., Prioritizing climate-smart agricultural land use options at regional scale. Agric. Syst. 151 (2016), 174–183, 10.1016/j.agsy.2016.10.005.
22. Tilman, D., Balzer, C., Hill, J., Befort, B., Global food demand and the sustainable intensification of agriculture. Proc. Nat. Acad. Sci. (PNAS) 108 (2011), 20260–20264.
23. Tilman, D., Cassman, K.G., Matson, P.A., Naylor, R., Polasky, S., Agricultural sustainability and intensive production practices. Nature 418 (2002), 671–677.
24. van Bussel, L.G.J., Grassini, P., Van Wart, J., Wolf, J., Claessens, L., Yang, H., Boogaard, H., de Groot, H., Saito, K., Cassman, K.G., van Ittersum, M.K., From field to atlas: Upscaling of location-specific yield gap estimates. Field Crops Res. 177 (2015), 98–108.
25. Van Diepen, C.A., van Keulen, H., Wolf, J., Berkhout, J.A.A., Land evaluation: from intuition to quantification. Adv. Soil Sci. 15 (1991), 139–204.
26. van Ittersum, M.K., Cassman, K.G., Grassini, P., Wolf, J., Tittonell, P., Hochman, Z., Yield gap analysis with local to global relevance – a review. Field Crops Res. 143 (2013), 4–17.
27. Van Wart, J., Grassini, P., Cassman, K.G., Impact of derived global weather data on simulated crop yields. Glob. Change Biol. 19 (2013), 3822–3834.
28. Van Wart, J., Van Bussel, L.G.J., Wolf, J., Licker, R., Grassini, P., Nelson, A., Boogaard, H., Gerber, J., Mueller, N.D., Claessens, L., Cassman, K.G., van Ittersum, M.K., Reviewing the use of agro-climatic zones to upscale simulated crop yield potential. Field Crops Res. 143 (2013), 44–55.
29. Van Wart, J., Kersebaum, K.C., Peng, S., Milner, M., Cassman, K.G., A protocol for estimating crop yield potential at regional to national scales. Field Crops Res. 143 (2013), 34–43.
30. Vermeulen, S.J., Campbell, B.M., Ingram, J.S.I., Climate change and food systems. Annu. Rev. Environ. Resour. 37 (2012), 195–222.
31. Vitousek, P.M., Aber, J.D., Howarth, R.W., Likens, G.E., Matson, P.A., Schindler, D.W., Schlesinger, W.H., Tilman, D.G., Human alteration of the global nitrogen cycle: sources and consequences. Ecol. Appl. 7 (1997), 737–750.
32. Watson, J.E.M., Shanahan, D.F., Di Marco, M., Allan, J., Laurance, W.F., Sanderson, E.W., Mackey, B., Venter, O., Catastrophic declines in wilderness areas undermine global environment targets. Curr. Biol. 26 (2016), 2929–2934, 10.1016/j.cub.2016.08.049.