02623nam a2200349 a 450000100080000000500110000800800410001910000150006024501330007526001220020830000170033052015690034765000190191665000180193565000100195365000100196365000200197365000220199365000130201565000240202865300110205265300120206365300210207565300180209665300240211465300260213870000220216470000230218670000200220970000230222970000210225220352222018-01-10       2015    bl uuuu     u00u1 u    #d1 aHAMADA, E.  aSimulação dos efeitos das mudanças climáticas sobre a ferrugem do café na região Sudeste do Brasil.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPEc2015  ap. 2629-2636  aAbstract: Brazil is the largest producer and exporter of coffee in the world. The rust (Hemileia vastratrix) is the most important disease of coffee crop in Brazil, with important damage effects on its production. The climate can directly and indirectly affect the interaction between the coffee plant and the fungus. Accordingly, the climate change can alter the spatial distribution and favorability of the disease, resulting in new distribution pattern. The present study aimed to simulate future scenarios of coffee rust epidemics by mapping the geographical distribution and adopting a logic mathematical criteria that estimates climate favorability of pathogen incidence and data projected by global climate models from IPCC AR4 (Fourth Assessment Report). The study considered the months (April, May, and June) of period of 1961-1990 and future periods of 2011-2040, 2041-2070, and 2071-2100, B1 and A2 scenarios of IPCC. According to the results obtained, for current climate (1961-1990) the percentage of unfavorable areas to the occurrence of the disease ranges from approximately 40% in April, 20% in May, and 10% in June. For future scenarios, the occurrence ratio changes to approximately 20% in the months from April to June, with the exception of the A2 scenario to 2071-2100 period, which provides approximately 10% of unfavorable area. Thus, there is a tendency in the future to increase the favorability of incidence of the rust on coffee in Southeast region of Brazil. On average, the maps obtained in scenarios B1 and A2 had a similar tendency.  aClimate change  aRust diseases  aCafé  aClima  aCoffea Arábica  aDoença de planta  aFerrugem  aMudança Climática  aCoffee  aDisease  aGeoprocessamento  aGeoprocessing  aHemileia vastratrix  aMudanças climáticas1 aVOLPATO, M. M. L.1 aFERREIRA, G. de L.1 aALVES, H. M. R.1 aSOUZA, V. C. O. de1 aVIEIRA, T. G. C.