“Carbon dioxide fertilization offsets negative impacts of climate change on Arabica coffee yield in Brazil”

Documentation of the study described in “Carbon dioxide fertilization offsets negative impacts of climate change on Arabica coffee yield in Brazil” by Verhage, F.Y.F., Anten, N.P.R. & Sentelhas, P.C. Climatic Change (2017). https://doi.org/10.1007/s10584-017-2068-z.

This collection unites the most important files used to assess the impact of climate change on Arabica coffee in Brazil under a RCP4.5 scenario by 2040-2070, as described by Verhage, Anten & Sentelhas (2017). These files are provided to encourage the further verification, development and application of the Arabica coffee yield simulation model. In addition, the collection includes a short description and try-out of the agro-ecological zoning model, developed by Doorenbos & Kassam (1979) for the Food and Agriculture Organization (FAO), applied on Arabica coffee. This model was excluded from the final study, but the work might still be of use to other researchers.

Please be aware that the files are the result of a working process, so they might contain:

- terminology different from the article;

- values different from the article (as not always the latest version of a file could be uploaded);

- phrases or labels in Portuguese;

- broken links or changed directories.

The collection contains the following files:

(for the references in flowchart, see below)

CV_Calibration.xlsx

CV_Validation.xlsx

CD_10day_1980-2010 (folder)

CD_10day_2040-2070 (folder)

CD_Daily_1980-2010 (folder)

CD_Daily_2040-2070 (folder)

CD_Combine_Files.R

CD_Daily_to_10day.R

CD_Extract_Xavier_et_al.R

CD_To_AgMIP-format.R

MS_Excl_CO2_Fert (folder)

MS_Incl_CO2_Fert (folder)

MS_Excl_CO2_Fert_Results.xlsx

MS_Incl_CO2_Fert_Results.xlsx

MS_Altitude_Correction.xlsm

MS_File_Names.xlsx

MS_Insert_CD.xlsm

YD_Climate_Zone-Yield.xlsx

YD_Irrigated_Area.xlsx

YD_Irrigated_Farms.xlsx

YD_Observed_Yield.xlsx

SA_Apucarana.xlsx

SA_Cocos.xlsx

SA_Franca.xlsx

AM_Description.pdf

AM_Try-out.xlsx

Alvares, C.A. et al., 2013. Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6), pp.711–728.

Camargo, M.B.P. De et al., 2005. Test of an agrometeorological model for monitoring and predicting coffee yield in São Paulo state, Brazil.

Doorenbos, J, & Kassam, A.H., 1979. Yield response to water. FAO Irrigation and Drainage Paper No. 33. Rome, FAO.

Hudson, N. & Ruane, A., 2013. AgMIP Climate Scenario Generation Tools with R. Available at: http://tools.agmip.org/acsgtr.php.

IBGE, 2006. Censo Agropecuário: Tabela 1819 - Número de estabelecimentos agropecuários com uso de irrigação e Área dos estabelecimentos por método utilizado para irrigação e grupos e classes de atividade. Available at: https://sidra.ibge.gov.br/tabela/1819.

IBGE, 2016. Produção Agrícola Municipal: Tabela 1613 - Área destinada à colheita, área colhida, quantidade produzida, rendimento médio e valor da produção das lavouras permanentes. Available at: https://sidra.ibge.gov.br/tabela/1613#notas-tabela.

Verhage, F.Y.F., Anten, N.P.R. & Sentelhas, P.C. Climatic Change (2017). https://doi.org/10.1007/s10584-017-2068-z.

Xavier, A.C., King, C.W. & Scanlon, B.R., 2015. Daily gridded meteorological variables in Brazil (1980-2013). International Journal of Climatology, 2659(October 2015), pp.2644–2659.