Impacto de eventos severos na agricultura do Rio Grande do Sul

Abstract

Severe events (ES) can cause economic and social losses, damage to agriculture and livestock in a region. The state of Rio Grande do Sul (RS), because much of its economy is based on agriculture, suffers directly with the occurrence of ES along with the development cycle of the crops, which can result in crop failures. The objective of this study was to analyze the occurrence of ES that hit agriculture in RS, and characterize spatially and temporally the most frequent ES and its temporal distribution, the relationship with the ENSO phenomenon and the impact within the state's major crops. For this, ES occurrence data were used that affected the rural area by RS municipalities from 2003 to 2012, obtained from the Civil Defense database RS (DCRS). For the analysis of the impact on agricultural crops, productivity data were used, yield and gross value of rice, soybean, corn and wheat (EMATER and IBGE). The ES log was observed during every month of every year, most often in the summer months and fall. And the most frequent ES are drought, hail and gale, respectively. The drought usually occurs more frequently between the months December to July, and months without the work of the El Niño Southern Oscillation (ENSO). But when comparing the occurrence within each ENSO phase, it was observed that cases of drought are more frequent during periods of La Niña in the months from December to March. Regarding geographical distribution, most of the municipalities affected by the drought year in RS were located in the northern half of the state, although the majority will of REDECS has recorded drought in all municipalities at least once during the study period. The worst years with further damage to farmers in RS were in 2005, 2009 and 2012, with the greatest loss in the final grain yield was in relation to 2012 and 2011 it was of nearly 100 million tons of grain. The intensity of the drought was because of the La Niña phenomenon that generated precipitation Deficit 296 municipalities in the RS, directly impacting production.