Abstract
The Intergovernmental Panel on Climate Change (IPCC) projections of global mean temperature rises are worrisome for coffee crop due to the intolerance of the Arabica species to high air temperature variations. The crop has a large participation in the Brazilian trade balance; therefore, in this study, the impacts of climate change on the potential yield of Arabica coffee (Coffea arabica L.) were assessed in the areas of Southeast Brazil in future climate change scenarios. Simulations of the Eta Regional Climate Model at 5-km resolution used in this study were generated from a second dynamic downscaling of the HadGEM2-ES model runs. The projections adopted two scenarios of greenhouse gas concentration, the RCP4.5 and RCP8.5, and considered the period 2011–2100. The projections indicated a large reduction of about 20 to 60% of the areas currently suitable for coffee cultivation in Southeast Brazil. In the RCP8.5 scenario, at the end of century, coffee cultivation is suitable only in elevated mountain areas, which would pose difficulties to farming management due to the operation of agricultural machinery in mountain areas. In addition, coffee cultivation in these regions could produce environmental impacts in the remnant Brazilian Atlantic Forest. Areas of high climatic risk increase due to temperature increase. The projections showed that the potential yield could be reduced by about 25% by the end of the twenty-first century. These results of potential coffee yield in the future climate indicate a need for adaptation studies of Arabica coffee cultivation.
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References
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO irrigation and drainage paper 56. FAO. http://www.fao.org/docrep/X0490E/X0490E00.htm. Accessed 31 March 2015
Assad ED, Pinto HS, Junior JZ, Ávila AD (2004) Impacto das mudanças climáticas no zoneamento agroclimático do café no Brasil. Pesq Agrop Brasileira 39(11):1057–1064. https://doi.org/10.1590/S0100-204X2004001100001
Baliza DP, Oliveira AL, Dias RAA, Guimarães RJ, Barbosa CR (2013) Antecipação da produção e desenvolvimento da lavoura cafeeira implantada com diferentes tipos de mudas. Coffee Sci 8(1):61–68
Betts AK, Miller MJ (1986) A new convective adjustment scheme. Part II: single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quarterly J R Meteorol Soc 112(473):693–709. https://doi.org/10.1002/qj.49711247308
Bragança R, dos Santos AR, de Souza EF, de Carvalho AJC, Luppi ASL, da Silva RG (2016) Impactos das mudanças climáticas no zoneamento agroclimatológico do café arábica no Espírito Santo. Revista Agro@mbiente On-line 10(1):77–82. 10.18227/1982-8470ragro.v10i1.2809
Bunn C (2015) Modeling the climate change impacts on global coffee production. Doctoral dissertation, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät
Bunn C, Läderach P, Rivera OO, Kirschke D (2015) A bitter cup: climate change profile of global production of Arabica and Robusta coffee. Clim Chang 129(1–2):89–101. https://doi.org/10.1007/s10584-014-1306-x
Camargo, AP (1977) Zoneamento de aptidão climática para a cafeicultura de arábica e robusta no Brasil. In: Fundação IBGE, recursos, meio ambiente e poluição. p.68–76
Carvalho LG, Rios GFA, Miranda WL, Neto PC (2011) Evapotranspiração de referência: uma abordagem atual de diferentes métodos de estimativa. Pesquisa Agropecuária Tropical 41(3):456–465. https://doi.org/10.5216/pat.v41i3.12760
Chou SC, Marengo JA, Lyra AA, Sueiro G, Pesquero JF, Alves LM, Kay G, Betts R, Chagas DJ, Gomes JL, Bustamante JF, Tavares P (2012) Downscaling of South America present climate driven by 4-member HadCM3 runs. Clim Dyn 38(3–4):635–653. https://doi.org/10.1007/s00382-011-1002-8
Chou SC, Lyra A, Mourão C, Dereczynski C, Pilotto I, Gomes J, Bustamante J, Tavares P, Silva A, Rodrigues D, Campos D, Chagas D, Sueiro G, Siqueira G, Marengo J (2014a) Assessment of climate change over South America under RCP 4.5 and 8.5 downscaling scenarios. Am J Clim Chang 3(5):512–525. https://doi.org/10.4236/ajcc.2014.35043
Chou SC, Lyra A, Mourão C, Dereczynski C, Pilotto I, Gomes J, Bustamante J, Tavares P, Silva A, Rodrigues D, Campos D, Chagas D, Sueiro G, Siqueira G, Nobre P, Marengo J (2014b) Evaluation of the eta simulations nested in three global climate models. Am J Clim Chang 3(5):438–454. https://doi.org/10.4236/ajcc.2014.35039
Companhia Nacional de Abastecimento (CONAB) (2015) Acompanhamento da safra brasileira: café. http://www.conab.gov.br. Accessed 22 April 2015
DaMatta FM, Ronchi CP, Maestri M, Barros RS (2007) Ecophysiology of coffee growth and production. Braz J Plant Physiol 19(4):485–510. https://doi.org/10.1590/S1677-04202007000400014
Ek MB, Mitchell KE, Lin Y, Rogers E, Grummann P, Koren V, Gayno G, Tarpley JD (2003) Implementation of Noah land-surface model advances in the NCEP operational mesoscale eta model. J Geophys Res 108(D22):8851–8867. https://doi.org/10.1029/2002JD003296
Eugenio FC, Peluzio TMO, Pereira AAB, dos Santos AR, Peluzio JBE, Bragança R, Fiedler NC, Paula EDSO (2014) Zoning agroclimatological Coffea canephora for Espírito Santo by spatial interpolation. Coffee Sci 9(3):319–328
Fels SB, Schwarzkopf MD (1975) The simplified exchange approximation: a new method for radiative transfer calculations. J Atmos Sci 32(7):1475–1488. https://doi.org/10.1175/1520-0469(1975)032<1475:TSEAAN>2.0.CO;2
Instituto Brasileiro de Geografia e Estatística (IBGE) (2016). PAM: Produção Agrícola Municipal. www.sidra.iibge.gov.br. Accessed 10 May 2016
Intergovernmental Panel on Climate Change (IPCC) (2013) Twelfth session of working group I. Summary for Policymakers. http://www.climatechange2013.org/images/uploads/WGIAR5-SPM_Approved27Sep2013.pdf. Accessed 30 October 2013
International Coffee Organization (ICO) (2015) Catalog coffee. http://www.ico.org/pt/coffee_storyp.asp?section=Sobre_o_café. Accessed 10 May 2015
International Coffee Organization (ICO) (2017) Statistical catalog—historical data. http://www.ico.org/pt/new_historical_p.asp?section=Estat%EDstica. Accessed 05 January 2017
Janjić ZI (1984) Nonlinear advection schemes and energy cascade on semi-staggered grids. Mon Weather Rev 112(6):1234–1245. https://doi.org/10.1175/1520-0493(1984)112<1234:NASAEC>2.0.CO;2
Janjić ZI (1994) The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon Weather Rev 122(5):927–945. https://doi.org/10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2
Karlsson KG, Riihelä A, Müller R, Meirink JF, Sedlar J, Stengel M, Lockhoff M, Trentmann J, Kaspar F, Hollmann R, Wolters E (2012) CLARA-A1: CM SAF CLouds, albedo and RAdiation dataset from AVHRR data–edition 1–monthly means/daily means/pentad means/monthly histograms. Satell Appl Facil Climate Monit. https://doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V001
Kobayashi ES (2007) Consumo de Água e Produtividade de Cafeeiros Arábica na Região de Mococa, SP. Dissertation (MSc in tropical and subtropical agriculture), Instituto Agronômico de Campinas
Lacis AA, Hansen JE (1974) A parameterization for the absorption of solar radiation in the earth’s atmosphere. J Atmos Sci 31(1):118–133. https://doi.org/10.1175/1520-0469(1974)031<0118:APFTAO>2.0.CO;2
Luppi ASL, Santos AR, Eugênio FC, Bragança R, Pelúzio JBE, Dalfi RL, Silva RG (2014) Metodologia para Classificação de Zoneamento Agroclimatológico. Revista Brasileira de Climatologia 15. https://doi.org/10.5380/abclima.v15i0.37388
Lyra AA, Tavares PS, Chou SC, Sueiro G, Dereczynski C, Sonderman M, Silva A, Marengo J, Giarolla A (2017). Climate change projections over three metropolitan regions in Southeast Brazil using the non-hydrostatic eta regional climate model at 5-km resolution. Theor Appl Climatology Accepted doi: https://doi.org/10.1007/s00704-017-2067-z
Marengo JA, Chou SC, Kay G, Alves LM, Pesquero JF, Soares WR, Santos DC, Lyra AA, Sueiro G, Betts R, Chagas DJ, Gomes JL, Bustamante JF, Tavares P (2012) Development of regional future climate change scenarios in South America using the eta CPTEC/HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins. Clim Dyn 38(9–10):1829–1848. https://doi.org/10.1007/s00382-011-1155-5
Matiello JB (1991) O café: do cultivo ao consumo. Editora Globo. Farmer’s Collection: Grain. Globo Rural Publications, São Paulo
MCTI (2016) Third National Communication of Brazil to the United Nations framework convention on climate change—volume II/Ministry of Science, Technology and Innovation. Brasília: Ministério da Ciência, Tecnologiae Inovação, 2016. 229 p. ISBN: 978-85-88063-24-2
Meireles EJL, Volpato MML, Alves HMR, Vieira TGC (2007) Zoneamento agroclimático: um estudo de caso para o café. Informe Agropecuário Belo Horizonte 28(241):50–57
Meireles EJL, Camargo M, Pezzopane JRM, Thomaziello R, Fahl JI, Bardin L, Santos JCF, Japiassú LB, Garcia AWR, Miguel AE, Ferreira RA (2009) Fenologia do cafeeiro: condições agrometeorológicas e balanço hídrico do ano agrícola 2004–2005. Embrapa Informação Tecnológica, Embrapa Café, MAPA, Brasília (Document 5). http://www.epamig.ufla.br/geosolos/publicacoes/2007/11.pdf. Accessed 10 Feb 2012
Mellor GL, Yamada T (1982) Development of a turbulence closure model for geophysical fluid problems. Rev Geophys 20(4):851–875. https://doi.org/10.1029/RG020i004p00851
Mendonça PV (1958) Sobre o novo método de balanço hidrológico do solo de Thornthwaite-Mather. In Congresso Luso-espanhol para o progresso das ciências 24 (Proceedings): Madrid. p. 271–282
Mesinger F, Chou SC, Gomes JL, Jovic D, Lyra AA, Bustamante JF, Bastos PR, Lazic L, Morelli S, Ristic I (2012) An upgraded version of the eta model. Meteorog Atmos Phys 116(3–4):63–79. https://doi.org/10.1007/s00703-012-0182-z
Ministério da Agricultura, Pecuária e Abastecimento (MAPA) (2013). Crop catalog/coffee. http://www.agricultura.gov.br/vegetal/culturas/cafe/saiba-mais. Accessed 22 April 2013
Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, Van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Meehl GA, Mitchell JFB, Nakicenovic N, Riahi K, Smith SJ, Stouffer RJ, Thomson AM, Weyant JP, Wilbanks TJ (2010) The next generation of scenarios for climate change research and assessment. Nature 463(7282):747–756. https://doi.org/10.1038/nature08823
Paulson CA (1970) The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J Appl Meteorol 9(6):857–861. https://doi.org/10.1175/1520-0450(1970)009<0857:TMROWS>2.0.CO;2
Pereira AR, Camargo AP, Camargo MBP (2008) Agrometeorologia de cafezais no Brasil. Instituto Agronômico de Campinas (IAC). 127 p. ISBN: 978-85-85564-19-3
Pesquero JF, Chou SC, Nobre CA, Marengo JA (2010) Climate downscaling over South America for 1961–1970 using the eta model. Theor Appl Climatol 99(1–2):75–93. https://doi.org/10.1007/s00704-009-0123-z
Pinto HS, Assad ED, Zullo Junio RJ, Evangelista SRM, Otavian AF, Ávila AMH, Evangelista BA, Marin F, Macedo Junior C, Pellegrino G, Coltri PP, Coral G (2008) Aquecimento global e a nova geografia da produção agrícola no Brasil. Embrapa, São Paulo https://www.macroprograma1.cnptia.embrapa.br/scaf/publicacoes/CLIMA_E_AGRICULTURA_BRASIL_300908_FINAL.pdf/view. Accessed 09 February 2012
Ranjitkar S, Sujakhu NM, Merz J, Kindt R, Xu J, Matin MA, Ali M, Zomer RJ (2016) Suitability analysis and projected climate change impact on banana and coffee production zones in Nepal. PloS One 11(9):e0163916. https://doi.org/10.1371/journal.pone.0163916
Saha S, Moorthi S, Pan HL, Wu X, Wang J, Nadiga S, Tripp P, Kistler R, Woollen J, Behringer D, Liu H, Stokes D, Grumbine R, Gayno G, Wang J, Chuang YH, Juang HM, Sela J, Iredell M, Treadon R, Kleist D, Delst PV, Keyser D, Derber J, Ek M, Wei JM, Yang R, Lord S, Dool HVD, Kumar A, Wang W, Long C, Chelliah M, Xue Y, Huang B, Schemm JK, Ebisuzaki W, Lin R, Xie P, Chen M, Zhou S, Higgins W, Zou CZ, Liu Q, Chen Y, Han Y, Cucurull L, Reynolds WR, Rutledge G, Goldberg M (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91(8):1015–1057. https://doi.org/10.1175/2010BAMS3001.1
Sediyama GC (1996) Estimativa da evapotranspiração: histórico, evolução e análise crítica. Revista Brasileira de Agrometeorologia 4(1):1–12 ISSN 0104-1347
Souza VCO, Vieira TGC, Volpato MML, Alves HMR (2012) Espacialização e dinâmica da cafeicultura mineira entre 1990 e 2008, utilizando técnicas de geoprocessamento. Coffee Sci 7(2):122–134
Thomaziello RA, Fazuoli LC, Pezzopane, JRM, Fahl JI, Carelli MLC (2000) Café arábica: cultura e técnicas de produção. 1ed. Campinas: Instituto Agronômico. 82p. Boletim Técnico n.187
Thornthwaite CW, Mather JR (1957). Instructions and tables for computing potential evapotranspiration and the water balance. Drexel Institute of Technology, Laboratory of Climatology, Centerton, New Jersey. Publications in climatology, vol. 10, no. 3
Wintgens JN (2004) Coffee: growing, processing, sustainable production. A guidebook for growers, processors, traders, and researchers. 2nd edn. WILEY-VCH. 1040 p. ISBN: 978-3-527-33253-3
Zhao Q, Black TL, Baldwin ME (1997) Implementation of the cloud prediction scheme in the eta model at NCEP. Weather Forecast 12(3):697–712. https://doi.org/10.1175/1520-0434(1997)012<0697:IOTCPS>2.0.CO;2
Zullo J, Pinto HS, Assad ED (2006) Impact assessment study of climate change on agricultural zoning. Meteorol Appl 13(S1):69–80. https://doi.org/10.1017/S135048270600257X
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The authors thank the São Paulo Research Foundation (FAPESP) for the grant 2014/00192-0, Brazilian National Council for Scientific and Technological Development (CNPq) for the grants 457874/2014-7 and 308035/2013-5, the MCTI/UNDP for the grant BRA/10/G32, and the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES) the project INCT for Climate Change (MCTI/CNPq).
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Tavares, P.d.S., Giarolla, A., Chou, S.C. et al. Climate change impact on the potential yield of Arabica coffee in southeast Brazil. Reg Environ Change 18, 873–883 (2018). https://doi.org/10.1007/s10113-017-1236-z
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DOI: https://doi.org/10.1007/s10113-017-1236-z