Programa de Pós-Graduação em Ciências Ambientais - PPGCA/IG
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2854
O Programa de Pós-Graduação em Ciências Ambientais (PPGCA) integra o Instituto de Geocências (IG) da Universidade Federal do Pará (UFPA) em parceria com o Museu Paraense Emílio Goeldi (MPEG) e a Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA/Amazônia Oriental) iniciou suas atividades em 2005 com o Mestrado Acadêmico e em 2011 com o Doutorado Acadêmico.
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Item Acesso aberto (Open Access) Fluxo de CO2 em cultivo da palma de óleo com híbridos interespecíficos (Elaeis guineensis Jacq x Elaeis oleifera (Kunth) Cortés) no Leste da Amazônia(Universidade Federal do Pará, 2017-03-27) FONSECA, Luiz Carlos Neves da; ARAÚJO, Alessandro Carioca de; lattes.cnpq.br/6188087583954899Terrestrial ecosystems are important for the CO2 exchange between surface and atmosphere. The objective of this paper was to characterize the daily and seasonal variation of CO2 flux in oil palm cultivation with interspecific hybrid (Elaeis guineensis Jacq. x Elaeis oleifera (Kunth) Cortés) in eastern Amazonia. The study was carried out at Marborges Agroindústria S.A., Moju - Pará, where a micrometeorological tower was installed to obtain meteorological and CO2 data from January to December of 2015. The wet season (1.974 mm) covered the months of January-June and December (P > 150 mm month-1) and the dry season (345 mm) included the months of July-November (P < 150 mm month-1). The average daily values of CO2 concentration [CO2] were lower and average night values were higher, mainly at levels below the canopy (5.8; 2.1; 0.5 m). The average daily values of CO2 uptake peaked at noon, with 22.3 (± 0.98) μmol m-2 s-1 in the wet season and 21.0 (± 0.47) μmol m-2 s-1 in the dry season. There was little nocturnal variation in the average values of CO2 emission, 5 (± 0.20) μmol m-2 s-1, in wet and dry seasons, by oil palm cultivation with interspecific hybrid. Generally, the daily CO2 exchange cycle presented a slight difference between the wet and dry season, even in drought year in eastern Amazonia.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.