Teses em Ciências Ambientais (Doutorado) - PPGCA/IG
URI Permanente para esta coleçãohttps://repositorio.ufpa.br/handle/2011/9341
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Item Acesso aberto (Open Access) Impactos dos anos climáticos extremos no rendimento da lavoura temporária de mandioca na região rural da metrópole de Belém – Pará(Universidade Federal do Pará, 2017-01-31) SOUZA, Paulo Fernando de Souza; SOUZA, Everaldo Barreiros de; http://lattes.cnpq.br/6257794694839685Extremes climatic patterns negatively impact agriculture in Brazil and, as a result, cause problems for rural communities that are highly dependent on natural resources, in particular the state of Pará. Therefore, it is of fundamental importance to study the cassava farming (Manihot esculenta Crantz) in face of future climatic risks, because Pará is the largest national producer. The objective of this study was to analyze the modulation of the climatic mechanisms of the Pacific and Atlantic Oceans on the pluviometric regime considering the municipal scale of the Rural Region of the Metropolis of Belém (RRB), in northeastern Pará, as well as to detect the relations between precipitation and productivity or yield of temporary cassava farming from 1990 to 2014 (25 years), including the analysis of impacts of extreme climatic years. The work was divided into three parts: the first analyzed the influence of climatic extremes such as El Niño, La Niña, North and South Gradient on RRB precipitation, using the percentiles technique; In the second part, Spearman correlations were calculated between the precipitation and the cassava yield and the results showed an inhomogeneous behavior throughout the region, i.e., there are municipalities that respond directly or indirectly to the pluviometric regime. In this analysis, the annual precipitation showed a better relationship with cassava yield, whose planting system occurs at two moments during the year (summer and winter plantings). In the third part, the spatial data exploratory spatial analysis technique was applied, which revealed the need to consider the spatial component in the evaluation of the relations between regional climate x agriculture.