Abstract
Global circulation models all forecast that climate change will increase mean temperatures and change precipitation regimes. As a result, traditional coffee growing regions may disappear and new regions may appear. At the same time, demand for high quality, responsibly sourced coffee continues to grow globally. For sustainable sources of coffee, participants in the global coffee supply chain need to know where coffee will grow in the future and how the suitability of these areas will change over time. With this information, the supply chain then needs to develop appropriate site-specific mitigation and adaptation strategies for both the short and the long term, to guarantee coffee supply as well as to support improved livelihoods for rural communities. In this paper, we firstly quantify the impact of climate change on the suitability of land to grow coffee in a case study in Nicaragua and on acidity content of beverage coffee in a case study in the Veracruz Department of Mexico. Secondly, we propose site-specific adaptation strategies and finally identify critical potential impacts of climate change on the overall supply chain and the implications for all actors in the system. We conclude the paper by identifying key directions for future research to seek mitigation and adaptation strategies at both the community and the supply-chain level.
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References
Atzmanstorfer K, Oberthür T, Läderach P, O’Brien R, Quiñonez GE, Collet L (2006) Probability modeling to reduce decision uncertainty in environmental niche identification and driving factor analysis, CaNaSTA Case Studies. In: Conference and Exhibition on Applied Geoinformatics – AGIT, GeoInformation for Development – gi4dev AgitSPECIAL, Salzburg, Austria, 7 July 2006, p 11
Battisti DS, Naylor RL (2009) Historical warnings of future food insecurity with unprecedented seasonal heat. Science 323:240–244
Brus DJ, De Gruijter JJ (1997) Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion). Geoderma 80:1–44
Busby JR (1991) BIOCLIM: a bioclimatic analysis and prediction system. Plant Prot Q 6:8–9
Busuioc A, Chen Z, Gao X, Held I, Jones R, Kolli RK, Kwon W-T, Laprise R, Magana Rueda V, Mearns LC, Menendez G, Raisanen J, Rinke A, Sarr A, Whetton P, Hewitson B (2007) Regional climate projections. In: Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge, pp 847–940
Elith J, Graham CH, Anderson RP, DudÃk M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick R, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakazawa M, Nakamura Y, Overton J McC, Peterson AT, Phillips J, Richardson K, Scachetti-Pereira R, Schapire E, Soberon J, Williams S, Wisz M, Zimmermann E (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151
Fischer G, Shah M, van Velthuizen H (2002) Climate change and agricultural vulnerability. International Institute for Applied Systems Analysis (IIASA), Vienna
Hijmans RJ, Graham CH (2006) The ability of climate envelope models to predict the effect of climate change on species distributions. Glob Change Biol 12:2272–2281
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005a) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965
Hijmans RJ, Guarino L, Jarvis A, O'Brien R, Mathur P, Bussink C, Cruz M, Barrantes I, Rojas E (2005b) DIVA-GIS Version 5.2, Manual
Hiller S, Onduru DD, de Jager A (2009) Sustainable tea production: an assessment of Farmer Field Schools in Kenya, Report 2008–078. LEI Wageningen UR, The Hague, Netherlands
International Coffee Organization (ICO) (2005) Fortalecimiento de la capacidad comercial, financiera, gerencial y empresarial de los pequeños productores y exportadores de café de México y Nicaragua. Informe sobre los avances realizados en el proyecto hasta marzo de 2005. http://dev.ico.org/documents/icc934c.pdf. Accessed 23 Feb 2008
Jarvis A, Rubiano J, Nelson A, Farrow A, Mulligan M (2004) Practical use of SRTM data in the tropics – Comparisons with digital elevation models generated from cartographic data 198. Centro Internacional de Agricultura Tropical (CIAT), Cali, Colombia
Jarvis A, Reuter HI, Nelson A, Guevara E (2006) Hole-filled SRTM for the globe Version 3. CGIAR-CSI SRTM 90m Database. http://srtm.csi.cgiar.org
Jones PG, Thornton PK, Diaz W, Wilkens PW, Jones AL (2002) MarkSim: a computer tool that generates simulated weather data for crop modeling and risk assessment. Centro Internacional de Agricultura Tropical, Cali, Colombia
Laderach P, Oberthür T, Niederhauser N, Usma H, Collet L, Pohlan J (2006a) Café Especial: Factores, dimensiones e interacciones. In: Pohlan J et al (eds) El Cafetal del Futuro: Realidades y Visiones. Shaker Verlag, Aachen, Germany, pp 141–160
Laderach P, Vaast P, Oberthür T, O’Brien R, Nelson A, Estrada LDL (2006b) Geographical analyses to explore interactions between inherent coffee quality and production environment. In: 21st International Conference of Coffee Science, ASIC 2006, September 2006, Montpellier
Laderach P, Jarvis A, Ramirez J (2008) The impact of climate change in coffe-growing regions. In: Taller de Adaptacion al Cambio Climatico en las Comunidades Cafetaleras de la Sierra Madre de Chiapas, Tuxtla Gutierrez, Chiapas, 17–18 Nov 2008
Lingle TR (2001) The Coffee Cuppers’ Handbook – a systematic guide to the sensory evaluation of coffee’s flavour. Long Beach, California, USA
Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing climate change adaptation needs for food security in 2030. Science 319:607–610
Mata LJ, Nobre C (2006) Background paper: Impacts, vulnerability and adaptation to climate change in Latin America. Paper commissioned by the Secretariat of the United Nations Framework Convention on Climate change. UNFCCC, Bonn, Germany
O’Brien RA (2004) Spatial decision support for selecting tropical crops and forages in uncertain environments. Department of Spatial Science, Curtin University of Technology, Perth, Western Australia
Pearl J (1990) Bayesian decision methods. In: Shafer G, Pearl J (eds) Readings in uncertain reasoning. Morgan Kaufmann, San Mateo, CA, pp 345–352
Pérez-Portilla E, Partida-Sedas JG, Martines-Pérez D (2005) Determinación de las Subdenominaciones de origen del Café-Veracruz. Revista de GeografÃa AgrÃcola, Universidad de Chapingo, Texcoco, Mexico 35:23–38
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Modell 190:231–259
RamÃrez J, Jarvis A (2008) High resolution downscaled climate change surfaces for global land areas. International Centre for Tropical Agriculture CIAT, Cali, Colombia
Schepp K, Lau I, Rizo L, Suárez G (2008) Sistematización de los Análisis de Riesgos y Oportunidades (ARO) en Nicaragua. AdapCC, Eschborn, Germany
Tukey JW (1977) Exploratory data análisis. Addison-Wesley, Reading, MA
UNFCCC (2007) Climate change: impacts, vulnerabilities and adaptation in developing countries, Climate Change Secretariat (UNFCCC). Bonn, Germany
Vaast P, Bertrand B, Perriot J-J, Guyot B, Genard M (2006) Fruit thinning and shade improve bean characteristics and beverage quality of coffee (Coffea arabica L.) under optimal conditions. J Sci Food Agric 86:197
Valerio-Hernandez L (2002) Elaboracion del Mapa del Cultivo de Café de Nicaragua: Informe Final. Dirección General de Estrategias Territoriales, Minsiterio de Agropecuario y Forestal, Managua, Nicaragua
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Laderach, P. et al. (2011). Predicted Impact of Climate Change on Coffee Supply Chains. In: Leal Filho, W. (eds) The Economic, Social and Political Elements of Climate Change. Climate Change Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14776-0_42
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DOI: https://doi.org/10.1007/978-3-642-14776-0_42
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