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Climatic Change

, Volume 156, Issue 4, pp 609–630 | Cite as

The impact of climate change and variability on coffee production: a systematic review

  • Yen PhamEmail author
  • Kathryn Reardon-Smith
  • Shahbaz Mushtaq
  • Geoff Cockfield
Article

Abstract

Coffee is one of the most important globally traded commodities and substantially contributes to the livelihoods of millions of smallholders worldwide. As a climate-sensitive perennial crop, coffee is likely to be highly susceptible to changes in climate. Using a systematic approach, we explore evidence from the published academic literature of the influence of climate change and variability, specifically drought, on coffee production. A number of mostly negative impacts were reported in the current literature, including declines in coffee yield, loss of coffee-optimal areas with significant impacts on major global coffee-producing countries and growth in the distribution of pest and disease that indirectly influence coffee cultivation. Current research also identified positive effects of climate change such as increases in coffee-producing niche, particularly in areas at higher altitudes; however, whether these gains might offset losses from other production areas requires further investigation. Other advantages include increases in pollination services and the beneficial effects of elevated carbon concentration, leading to potential yield improvements. Future priorities should focus on major coffee-growing regions projected to be adversely affected by climate change, with specific attention given to potential adaptation strategies tailored to particular farming conditions such as relocation of coffee plantations to more climatically suitable areas, irrigation and agroforestry. The majority of studies were based in the Americas and concentrated on Arabica coffee. A broader spread of research is therefore required, especially for the large growing regions in Asia and for Robusta coffee, to support sustainable production of the global coffee industry.

Notes

Acknowledgements

The authors gratefully appreciate advice from Dr. Tricia Kelly for the literature search and the valuable suggestions and feedback from two anonymous reviewers.

Funding information

We would like to acknowledge the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety through the International Climate Initiative and the University of Southern Queensland for funding this research.

Supplementary material

10584_2019_2538_MOESM1_ESM.pdf (28 kb)
ESM 1 (PDF 28 kb)

References

  1. Alves MdC, de Carvalho LG, Pozza EA, Sanches L, Maia JCdS (2011) Ecological zoning of soybean rust, coffee rust and banana black sigatoka based on Brazilian climate changes. Procedia Environ Sci 6:35–49.  https://doi.org/10.1016/j.proenv.2011.05.005 CrossRefGoogle Scholar
  2. Avelino J et al (2015) The coffee rust crises in Colombia and Central America (2008–2013): impacts, plausible causes and proposed solutions. Food Sec 7:303–321.  https://doi.org/10.1007/s12571-015-0446-9 CrossRefGoogle Scholar
  3. Baca M, Läderach P, Haggar J, Schroth G, Ovalle O (2014) An integrated framework for assessing vulnerability to climate change and developing adaptation strategies for coffee growing families in mesoamerica. PLoS ONE 9.  https://doi.org/10.1371/journal.pone.0088463 CrossRefGoogle Scholar
  4. Bacon CM, Sundstrom WA, Stewart IT, Beezer D (2017) Vulnerability to cumulative hazards: coping with the coffee leaf rust outbreak, drought, and food insecurity in Nicaragua. World Dev 93:136–152.  https://doi.org/10.1016/j.worlddev.2016.12.025 CrossRefGoogle Scholar
  5. Bastianin A, Lanza A, Manera M (2018) Economic impacts of El Nino southern oscillation: evidence from the Colombian coffee market. Agric Econ 49:623–633.  https://doi.org/10.1111/agec.12447 CrossRefGoogle Scholar
  6. Beaumont LJ et al (2016) Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges? Ecol Model 342:135–146.  https://doi.org/10.1016/j.ecolmodel.2016.10.004 CrossRefGoogle Scholar
  7. Bryan E, Ringler C, Okoba B, Roncoli C, Silvestri S, Herrero M (2013) Adapting agriculture to climate change in Kenya: household strategies and determinants. J Environ Manag 114:26–35.  https://doi.org/10.1016/j.jenvman.2012.10.036 CrossRefGoogle Scholar
  8. Bunn C, Läderach P, Jimenez JGP, Montagnon C, Schilling T (2015a) Multiclass classification of agro-ecological zones for Arabica coffee: an improved understanding of the impacts of climate change. PLoS ONE 10.  https://doi.org/10.1371/journal.pone.0140490 CrossRefGoogle Scholar
  9. Bunn C, Läderach P, Ovalle Rivera O, Kirschke D (2015b) A bitter cup: climate change profile of global production of Arabica and Robusta coffee. Clim Chang 129:89–101.  https://doi.org/10.1007/s10584-014-1306-x CrossRefGoogle Scholar
  10. Cerda R et al (2017) Effects of shade, altitude and management on multiple ecosystem services in coffee agroecosystems. Eur J Agron 82:308–319.  https://doi.org/10.1016/j.eja.2016.09.019 CrossRefGoogle Scholar
  11. Challinor AJ, Watson J, Lobell DB, Howden SM, Smith DR, Chhetri N (2014) A meta-analysis of crop yield under climate change and adaptation. Nat Clim Chang 4:287.  https://doi.org/10.1038/nclimate2153 CrossRefGoogle Scholar
  12. Charbonnier F et al (2013) Competition for light in heterogeneous canopies: application of MAESTRA to a coffee (Coffea arabica L.) agroforestry system. Agric For Meteorol 181:152–169.  https://doi.org/10.1016/j.agrformet.2013.07.010 CrossRefGoogle Scholar
  13. Chemura A, Kutywayo D, Chidoko P, Mahoya C (2016) Bioclimatic modelling of current and projected climatic suitability of coffee (Coffea arabica) production in Zimbabwe. Reg Environ Chang 16:473–485.  https://doi.org/10.1007/s10113-015-0762-9 CrossRefGoogle Scholar
  14. Chengappa PG, Rich KM, Rich M, Muniyappa A, Yadava CG, Pradeepa BB (2014) Promoting conservation in India by greening coffee: a value chain approach. Norwegian Institute of International Affairs (NUPI) working paper 831. https://nupi.brage.unit.no/nupi-xmlui/handle/11250/279154. Accessed 08/07/2019
  15. Chengappa PG, Devika CM, Rudragouda CS (2017) Climate variability and mitigation: perceptions and strategies adopted by traditional coffee growers in India. Clim Dev 9:593–604.  https://doi.org/10.1080/17565529.2017.1318740 CrossRefGoogle Scholar
  16. Cohn AS et al (2017) Smallholder agriculture and climate change. Annu Rev Environ Resour 42:347–375.  https://doi.org/10.1146/annurev-environ-102016-060946 CrossRefGoogle Scholar
  17. Craparo ACW, Van Asten PJA, Läderach P, Jassogne LTP, Grab SW (2015) Coffea arabica yields decline in Tanzania due to climate change: Global implications. Agric For Meteorol 207:1–10.  https://doi.org/10.1016/j.agrformet.2015.03.005 CrossRefGoogle Scholar
  18. Daly C, Helmer EH, Quiñones M (2003) Mapping the climate of Puerto Rico, Vieques and Culebra. Int J Climatol 23:1359–1381.  https://doi.org/10.1002/joc.937 CrossRefGoogle Scholar
  19. DaMatta FM, Ramalho JDC (2006) Impacts of drought and temperature stress on coffee physiology and production: a review. Braz J Plant Physiol 18:55–81.  https://doi.org/10.1590/S1677-04202006000100006 CrossRefGoogle Scholar
  20. DaMatta FM et al (2016) Sustained enhancement of photosynthesis in coffee trees grown under free-air CO2 enrichment conditions: disentangling the contributions of stomatal, mesophyll, and biochemical limitations. J Exp Bot 67:341–352.  https://doi.org/10.1093/jxb/erv463 CrossRefGoogle Scholar
  21. Davis AP, Gole TW, Baena S, Moat J (2012) The impact of climate change on indigenous Arabica coffee (Coffea arabica): predicting future trends and identifying priorities. PLoS ONE 7:e47981.  https://doi.org/10.1371/journal.pone.0047981 CrossRefGoogle Scholar
  22. Dormann CF (2007) Promising the future? Global change projections of species distributions. Basic Appl Ecol 8:387–397.  https://doi.org/10.1016/j.baae.2006.11.001 CrossRefGoogle Scholar
  23. Dormann CF et al (2012) Correlation and process in species distribution models: bridging a dichotomy. J Biogeogr 39:2119–2131.  https://doi.org/10.1111/j.1365-2699.2011.02659.x CrossRefGoogle Scholar
  24. Ehrenbergerová L, Šenfeldr M, Habrová H (2017) Impact of tree shading on the microclimate of a coffee plantation: a case study from the Peruvian Amazon. Bois For Trop 4:13–22CrossRefGoogle Scholar
  25. Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17:43–57.  https://doi.org/10.1111/j.1472-4642.2010.00725.x CrossRefGoogle Scholar
  26. Eriyagama N, Chemin Y, Alankara R (2014) A methodology for quantifying global consumptive water use of coffee for sustainable production under conditions of climate change. J Water Clim Chang 5:128–150.  https://doi.org/10.2166/wcc.2013.035 CrossRefGoogle Scholar
  27. Eske AB, Leroy T (2008) Coffee selection and breeding. In: Coffee: growing, processing, sustainable production. pp 57–86.  https://doi.org/10.1002/9783527619627.ch3
  28. Estrada F, Gay C, Conde C (2012) A methodology for the risk assessment of climate variability and change under uncertainty. A case study: coffee production in Veracruz, Mexico. Clim Chang 113:455–479.  https://doi.org/10.1007/s10584-011-0353-9 CrossRefGoogle Scholar
  29. Evans MEK, Merow C, Record S, McMahon SM, Enquist BJ (2016) Towards process-based range modeling of many species. Trends Ecol Evol 31:860–871.  https://doi.org/10.1016/j.tree.2016.08.005 CrossRefGoogle Scholar
  30. Fain SJ, Quinones M, Alvarez-Berrios NL, Pares-Ramos IK, Gould WA (2018) Climate change and coffee: assessing vulnerability by modeling future climate suitability in the Caribbean island of Puerto Rico. Clim Chang 146:175–186.  https://doi.org/10.1007/s10584-017-1949-5 CrossRefGoogle Scholar
  31. Fernandes ALT, Tavares TO, Santinato F, Ferreira RT, Santinato R (2016) Technical and economic viability of drip irrigation of coffee in Araxá, MG. Coffee Science 11:347–358Google Scholar
  32. Field CB et al (2014) Technical summary. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge university press, Cambridge, United Kingdom and New York, NY, USA, pp 35–94Google Scholar
  33. Fitzpatrick MC, Hargrove WW (2009) The projection of species distribution models and the problem of non-analog climate. Biodivers Conserv 18:2255.  https://doi.org/10.1007/s10531-009-9584-8 CrossRefGoogle Scholar
  34. Fitzpatrick MC, Gotelli NJ, Ellison AM (2013) MaxEnt versus MaxLike: empirical comparisons with ant species distributions. Ecosphere 4:art55.  https://doi.org/10.1890/ES13-00066.1 CrossRefGoogle Scholar
  35. Franklin J (2010) Mapping species distributions: spatial inference and prediction. Ecology, biodiversity and conservation. Cambridge University Press, Cambridge.  https://doi.org/10.1017/CBO9780511810602 CrossRefGoogle Scholar
  36. Fridell M, Hudson I, Hudson M (2008) With friends like these: the corporate response to fair trade coffee. Rev Radical Polit Econ 40:8–34.  https://doi.org/10.1177/0486613407311082 CrossRefGoogle Scholar
  37. Gaveau DLA, Linkie M, Suyadi LP, Leader-Williams N (2009) Three decades of deforestation in Southwest Sumatra: effects of coffee prices, law enforcement and rural poverty. Biol Conserv 142:597–605.  https://doi.org/10.1016/j.biocon.2008.11.024 CrossRefGoogle Scholar
  38. Gay C, Estrada F, Conde C, Eakin H, Villers L (2006) Potential impacts of climate change on agriculture: a case of study of coffee production in Veracruz, Mexico. Clim Chang 79:259–288.  https://doi.org/10.1007/s10584-006-9066-x CrossRefGoogle Scholar
  39. Ghini R, Hamada E, Pedro MJ, Marengo JA, Goncalves RRD (2008) Risk analysis of climate change on coffee nematodes and leaf miner in Brazil. Pesq Agrop Brasileira 43:187–194.  https://doi.org/10.1590/s0100-204x2008000200005 CrossRefGoogle Scholar
  40. Ghini R, Hamada E, Pedro MJ Jr, Gonçalves RRV (2011) Incubation period of Hemileia vastatrix in coffee plants in Brazil simulated under climate change. Summa Phytopathol 37:85–93.  https://doi.org/10.1590/S0100-54052011000200001 CrossRefGoogle Scholar
  41. Ghini R et al (2015) Coffee growth, pest and yield responses to free-air CO2 enrichment. Clim Chang 132:307–320.  https://doi.org/10.1007/s10584-015-1422-2 CrossRefGoogle Scholar
  42. Guido Z, Finan T, Rhiney K, Madajewicz M, Rountree V, Johnson E, McCook G (2018) The stresses and dynamics of smallholder coffee systems in Jamaica’s Blue Mountains: a case for the potential role of climate services. Clim Chang 147:253–266.  https://doi.org/10.1007/s10584-017-2125-7 CrossRefGoogle Scholar
  43. Hannah L et al (2017) Regional modeling of climate change impacts on smallholder agriculture and ecosystems in Central America. Clim Chang 141:29–45.  https://doi.org/10.1007/s10584-016-1867-y CrossRefGoogle Scholar
  44. Harvey CA, Saborio-Rodríguez M, Martinez-Rodríguez MR, Viguera B, Chain-Guadarrama A, Vignola R, Alpizar F (2018) Climate change impacts and adaptation among smallholder farmers in Central America. Agric Food Secur 7.  https://doi.org/10.1186/s40066-018-0209-x
  45. Holland MB et al (2017) Mapping adaptive capacity and smallholder agriculture: applying expert knowledge at the landscape scale. Clim Chang 141:139–153.  https://doi.org/10.1007/s10584-016-1810-2 CrossRefGoogle Scholar
  46. ICO (2014) World coffee trade (1963–2013): A review of the markets, challenges and opportunities facing the sector. Int Coffee Organ http://www.ico.org/news/icc-111-5-r1e-world-coffee-outlook.pdf. Accessed 05/07/2019
  47. ICO (2019a) Annual Review 2017/18. International Coffee Organization. http://www.ico.org/documents/cy2018-19/annual-review-2017-18-e.pdf. Accessed 05/07/2019
  48. ICO (2019b) International Coffee Organization Statistics. Int Coffee Organ. http://www.ico.org/trade_statistics.asp. Accessed 05/07/2019
  49. Imbach P et al (2017) Coupling of pollination services and coffee suitability under climate change. Proc Natl Acad Sci U S A 114:10438–10442.  https://doi.org/10.1073/pnas.1617940114 CrossRefGoogle Scholar
  50. IPCC (2014) Climate change 2014: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. Intergovernmental panel on climate change (IPCC), GenevaGoogle Scholar
  51. Jaramillo J, Muchugu E, Vega FE, Davis A, Borgemeister C, Chabi-Olaye A (2011) Some like it hot: the influence and implications of climate change on coffee berry borer (Hypothenemus hampei) and coffee production in East Africa. PLoS ONE 6.  https://doi.org/10.1371/journal.pone.0024528 CrossRefGoogle Scholar
  52. Jaramillo J et al (2013) Climate change or urbanization? Impacts on a traditional coffee production system in East Africa over the last 80 years. PLoS ONE 8.  https://doi.org/10.1371/journal.pone.0051815 CrossRefGoogle Scholar
  53. Jayakumar M, Rajavel M, Surendran U, Gopinath G, Ramamoorthy K (2017) Impact of climate variability on coffee yield in India—with a micro-level case study using long-term coffee yield data of humid tropical Kerala. Clim Chang 145:335–349.  https://doi.org/10.1007/s10584-017-2101-2 CrossRefGoogle Scholar
  54. Jezeer RE, Santos MJ, Boot RGA, Junginger M, Verweij PA (2018) Effects of shade and input management on economic performance of small-scale Peruvian coffee systems. Agric Syst 162:179–190.  https://doi.org/10.1016/j.agsy.2018.01.014 CrossRefGoogle Scholar
  55. Jha S, Bacon CM, Philpott SM, Mendez VE, Laderach P, Rice RA (2014) Shade coffee: update on a disappearing refuge for biodiversity. Bioscience 64:416–428.  https://doi.org/10.1093/biosci/biu038 CrossRefGoogle Scholar
  56. Jonsson M, Raphael IA, Ekbom B, Kyamanywa S, Karungi J (2015) Contrasting effects of shade level and altitude on two important coffee pests. J Pest Sci 88:281–287.  https://doi.org/10.1007/s10340-014-0615-1 CrossRefGoogle Scholar
  57. Junior JZ, Pinto HS, Assad ED (2006) Impact assessment study of climate change on agricultural zoning. Meteorol Appl 13:69–80.  https://doi.org/10.1017/S135048270600257X CrossRefGoogle Scholar
  58. Kang Y, Khan S, Ma X (2009) Climate change impacts on crop yield, crop water productivity and food security – a review. Prog Nat Sci 19:1665–1674.  https://doi.org/10.1016/j.pnsc.2009.08.001 CrossRefGoogle Scholar
  59. Kearney MR, Wintle BA, Porter WP (2010) Correlative and mechanistic models of species distribution provide congruent forecasts under climate change. Conserv Lett 3:203–213.  https://doi.org/10.1111/j.1755-263X.2010.00097.x CrossRefGoogle Scholar
  60. Knox J, Daccache A, Hess T, Haro D (2016) Meta-analysis of climate impacts and uncertainty on crop yields in Europe. Environ Res Lett 11:113004.  https://doi.org/10.1088/1748-9326/11/11/113004 CrossRefGoogle Scholar
  61. Kutywayo D, Chemura A, Kusena W, Chidoko P, Mahoya C (2013) The impact of climate change on the potential distribution of agricultural pests: the case of the coffee white stem borer (Monochamus leuconotus P.) in Zimbabwe. PLoS ONE 141.  https://doi.org/10.1371/journal.pone.0073432 CrossRefGoogle Scholar
  62. Laderach P, Ramirez-Villegas J, Navarro-Racines C, Zelaya C, Martinez-Valle A, Jarvis A (2017) Climate change adaptation of coffee production in space and time. Clim Chang 141:47–62.  https://doi.org/10.1007/s10584-016-1788-9 CrossRefGoogle Scholar
  63. Liebig T et al (2016) Towards a collaborative research: a case study on linking science to Farmers’ perceptions and knowledge on Arabica coffee pests and diseases and its management. PLoS ONE 11:23.  https://doi.org/10.1371/journal.pone.0159392 CrossRefGoogle Scholar
  64. Lin BB (2007) Agroforestry management as an adaptive strategy against potential microclimate extremes in coffee agriculture. Agric For Meteorol 144:85–94.  https://doi.org/10.1016/j.agrformet.2006.12.009 CrossRefGoogle Scholar
  65. Luedeling E, Kindt R, Huth NI, Koenig K (2014) Agroforestry systems in a changing climate—challenges in projecting future performance. Curr Opin Environ Sustain 6:1–7.  https://doi.org/10.1016/j.cosust.2013.07.013 CrossRefGoogle Scholar
  66. Machovina B, Feeley KJ (2013) Climate change driven shifts in the extent and location of areas suitable for export banana production. Ecol Econ 95:83–95.  https://doi.org/10.1016/j.ecolecon.2013.08.004 CrossRefGoogle Scholar
  67. Magrach A, Ghazoul J (2015) Climate and pest-driven geographic shifts in global coffee production: implications for forest cover, biodiversity and carbon storage. PLoS ONE 10:e0133071.  https://doi.org/10.1371/journal.pone.0133071 CrossRefGoogle Scholar
  68. Mateo RG, Croat TB, Felicísimo ÁM, Muñoz J (2010) Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Divers Distrib 16:84–94.  https://doi.org/10.1111/j.1472-4642.2009.00617.x CrossRefGoogle Scholar
  69. Mendelsohn R (2008) The impact of climate change on agriculture in developing countries. J Nat Resour Pol Res 1:5–19.  https://doi.org/10.1080/19390450802495882 CrossRefGoogle Scholar
  70. Merow C, Smith MJ, Silander JA Jr (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36:1058–1069.  https://doi.org/10.1111/j.1600-0587.2013.07872.x CrossRefGoogle Scholar
  71. Meyfroidt P, Vu TP, Hoang VA (2013) Trajectories of deforestation, coffee expansion and displacement of shifting cultivation in the central highlands of Vietnam. Glob Environ Chang 23:1187–1198.  https://doi.org/10.1016/j.gloenvcha.2013.04.005 CrossRefGoogle Scholar
  72. Meylan L, Gary C, Allinne C, Ortiz J, Jackson L, Rapidel B (2017) Evaluating the effect of shade trees on provision of ecosystem services in intensively managed coffee plantations. Agric Ecosyst Environ 245:32–42.  https://doi.org/10.1016/j.agee.2017.05.005 CrossRefGoogle Scholar
  73. Moat J et al (2017) Resilience potential of the Ethiopian coffee sector under climate change. Nat Plants 3.  https://doi.org/10.1038/nplants.2017.81
  74. Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6:e1000097.  https://doi.org/10.1371/journal.pmed.1000097 CrossRefGoogle Scholar
  75. Moreira SLS, Pires CV, Marcatti GE, Santos RHS, Imbuzeiro HMA, Fernandes RBA (2018) Intercropping of coffee with the palm tree, macauba, can mitigate climate change effects. Agric For Meteorol 256-257:379–390.  https://doi.org/10.1016/j.agrformet.2018.03.026 CrossRefGoogle Scholar
  76. Nesper M, Kueffer C, Krishnan S, Kushalappa CG, Ghazoul J (2017) Shade tree diversity enhances coffee production and quality in agroforestry systems in the Western Ghats. Agric Ecosyst Environ 247:172–181.  https://doi.org/10.1016/j.agee.2017.06.024 CrossRefGoogle Scholar
  77. Nicotra AB et al (2010) Plant phenotypic plasticity in a changing climate. Trends Plant Sci 15:684–692.  https://doi.org/10.1016/j.tplants.2010.09.008 CrossRefGoogle Scholar
  78. Ovalle-Rivera O, Läderach P, Bunn C, Obersteiner M, Schroth G (2015) Plant phenotypic plasticity in a changing climate. PLoS ONE 10.  https://doi.org/10.1371/journal.pone.0124155 CrossRefGoogle Scholar
  79. Pezzopane JRM, de Souza PS, de Souza Rolim G, Gallo PB (2011) Microclimate in coffee plantation grown under grevillea trees shading. Acta Sci Agron 33:201–206.  https://doi.org/10.4025/actasciagron.v33i2.7065 CrossRefGoogle Scholar
  80. Philpott SM, Lin BB, Jha S, Brines SJ (2008) A multi-scale assessment of hurricane impacts on agricultural landscapes based on land use and topographic features. Agric Ecosyst Environ 128:12–20.  https://doi.org/10.1016/j.agee.2008.04.016 CrossRefGoogle Scholar
  81. Pickering C, Byrne J (2014) The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early-career researchers. High Educ Res Dev 33:534–548.  https://doi.org/10.1080/07294360.2013.841651 CrossRefGoogle Scholar
  82. Pickering C, Grignon J, Steven R, Guitart D, Byrne J (2015) Publishing not perishing: how research students transition from novice to knowledgeable using systematic quantitative literature reviews. Stud High Educ 40:1756–1769.  https://doi.org/10.1080/03075079.2014.914907 CrossRefGoogle Scholar
  83. Rahn E et al (2014) Climate change adaptation, mitigation and livelihood benefits in coffee production: where are the synergies? Mitig Adapt Strateg Glob Chang 19:1119–1137.  https://doi.org/10.1007/s11027-013-9467-x CrossRefGoogle Scholar
  84. Rahn E, Vaast P, Laderach P, van Asten P, Jassogne L, Ghazoul J (2018) Exploring adaptation strategies of coffee production to climate change using a process-based model. Ecol Model 371:76–89.  https://doi.org/10.1016/j.ecolmodel.2018.01.009 CrossRefGoogle Scholar
  85. Ramirez-Villegas J, Challinor A (2012) Assessing relevant climate data for agricultural applications. Agric For Meteorol 161:26–45.  https://doi.org/10.1016/j.agrformet.2012.03.015 CrossRefGoogle Scholar
  86. Ranjitkar S et al (2016) Suitability analysis and projected climate change impact on banana and coffee production zones in nepal. PLoS ONE 11.  https://doi.org/10.1371/journal.pone.0163916 CrossRefGoogle Scholar
  87. Rodrigues WP et al (2016) Long-term elevated air [CO2] strengthens photosynthetic functioning and mitigates the impact of supra-optimal temperatures in tropical Coffea arabica and C. canephora species. Glob Chang Biol 22:415–431.  https://doi.org/10.1111/gcb.13088 CrossRefGoogle Scholar
  88. Roubik DW (2002) The value of bees to the coffee harvest. Nature 417:708.  https://doi.org/10.1038/417708a CrossRefGoogle Scholar
  89. Schroth G et al (2009) Towards a climate change adaptation strategy for coffee communities and ecosystems in the Sierra Madre de Chiapas, Mexico. Mitig Adapt Strateg Glob Chang 14:605–625.  https://doi.org/10.1007/s11027-009-9186-5 CrossRefGoogle Scholar
  90. Schroth G, Läderach P, Blackburn Cuero DS, Neilson J, Bunn C (2015) Winner or loser of climate change? A modeling study of current and future climatic suitability of Arabica coffee in Indonesia. Reg Environ Chang 15:1473–1482.  https://doi.org/10.1007/s10113-014-0713-x CrossRefGoogle Scholar
  91. Tavares PD, Giarolla A, Chou SC, Silva AJD, Lyra AD (2018) Climate change impact on the potential yield of Arabica coffee in Southeast Brazil. Reg Environ Chang 18:873–883.  https://doi.org/10.1007/s10113-017-1236-z CrossRefGoogle Scholar
  92. TCI (2016) A brewing storm: the climate change risks to coffee. The Climate Institute. http://www.climateinstitute.org.au/coffee.html. Accessed 05/07/2019
  93. Tesfaye SG, Ismail MR, Kausar H, Marziah M, Ramlan MF (2013) Plant water relations, crop yield and quality of Arabica coffee (Coffea arabica) as affected by supplemental deficit irrigation. Int J Agric Biol 15:665–672Google Scholar
  94. Thuiller W, Lavorel S, Araújo MB, Sykes MT, Prentice IC (2005) Climate change threats to plant diversity in Europe. Proc Natl Acad Sci U S A 102:8245–8250.  https://doi.org/10.1073/pnas.0409902102 CrossRefGoogle Scholar
  95. Trumble JT, Butler CD (2009) Climate change will exacerbate California's insect pest problems. Calif Agric 63:73–78.  https://doi.org/10.3733/ca.v063n02p73 CrossRefGoogle Scholar
  96. Vaast P, Bertrand B, Perriot J-J, Guyot B, Génard M (2006) Fruit thinning and shade improve bean characteristics and beverage quality of coffee (Coffea arabica L.) under optimal conditions. J Sci Food Agric 86:197–204.  https://doi.org/10.1002/jsfa.2338 CrossRefGoogle Scholar
  97. van Asten PJA, Wairegi LWI, Mukasa D, Uringi NO (2011) Agronomic and economic benefits of coffee–banana intercropping in Uganda’s smallholder farming systems. Agric Syst 104:326–334.  https://doi.org/10.1016/j.agsy.2010.12.004 CrossRefGoogle Scholar
  98. van Oijen M, Dauzat J, Harmand JM, Lawson G, Vaast P (2010) Coffee agroforestry systems in Central America: II. Development of a simple process-based model and preliminary results. Agrofor Syst 80:361–378.  https://doi.org/10.1007/s10457-010-9291-1 CrossRefGoogle Scholar
  99. van Rikxoort H, Schroth G, Laderach P, Rodriguez-Sanchez B (2014) Carbon footprints and carbon stocks reveal climate-friendly coffee production. Agron Sustain Dev 34:887–897.  https://doi.org/10.1007/s13593-014-0223-8 CrossRefGoogle Scholar
  100. Verhage FYF, Anten NPR, Sentelhas PC (2017) Carbon dioxide fertilization offsets negative impacts of climate change on Arabica coffee yield in Brazil. Clim Chang 144:671–685.  https://doi.org/10.1007/s10584-017-2068-z CrossRefGoogle Scholar
  101. White JW, Hoogenboom G, Kimball BA, Wall GW (2011) Methodologies for simulating impacts of climate change on crop production. Field Crop Res 124:357–368.  https://doi.org/10.1016/j.fcr.2011.07.001 CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.School of Agricultural, Computational and Environmental SciencesUniversity of Southern QueenslandToowoombaAustralia
  2. 2.Centre for Applied Climate SciencesUniversity of Southern QueenslandToowoombaAustralia
  3. 3.Centre for Sustainable Agricultural SystemsUniversity of Southern QueenslandToowoombaAustralia

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