Abstract ID: 613

Geospatial analysis of climatic vulnerability of coffee agroecosystems in Brazil using high resolution climate surfaces

It was aimed at with this work, to use geographical information systems and statistics to characterize the climatic vulnerability of coffee agroecosystems in Brazil. The data origin was based on high resolution interpolated climate surfaces referent to average data of the period of 1950 to 2000 and coffee crop information at municipal district level of 1990 to 2006. The average annual mean air temperature, the mean air temperature of the coldest month and the moisture index where used to characterize coffee crop climatic vulnerability for Coffea arabica and Coffea canephora species in four classes of vulnerability. A coffee crop fraction index was developed with principal components technique, using 51 variables referent to 17 years of coffee yield, harvested and cultivated lands, in order to characterize the spatial variability of coffee crop. It was possible to explain 87.0% of coffee crop fraction using principal components analysis. The coffee crop fraction index was classified in five classes inside the municipal district boundaries using natural breaks classification method. Based on the adopted methodology, it was possible to observe correspondence between coffee crop cultivated areas and coffee climatic vulnerability in Brazil.

Session:  LCLUC and Human Dimensions - Current and future trends of land-use/land-cover change and agricultural intensification.

Presentation Type:  Poster