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Characterization and quantification of emissions of gases of greenhouse effect by the different types of lakes of the Nhecolândia, Pantanal

Grant number: 18/10290-0
Support Opportunities:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): July 01, 2018
Effective date (End): December 31, 2022
Field of knowledge:Biological Sciences - Ecology - Ecosystems Ecology
Principal Investigator:Janaina Braga do Carmo
Grantee:João Paulo Mariano Godinho
Host Institution: Centro de Ciências e Tecnologias para a Sustentabilidade (CCTS). Universidade Federal de São Carlos (UFSCAR). Sorocaba , SP, Brazil
Associated research grant:16/14227-5 - Climatic changes and environmental impacts in wetlands of Pantanal region (Brazil): quantification, control factors and long term temporal modeling, AP.PFPMCG.TEM


Although the Pantanal is the largest continental wetland of the planet, there are few data on the production and emission of GHG for this area. Its contribution to the determination of the global GHG emissions balance is generally estimated from measures carried out in the Amazon or Equatorial Africa in non-alkaline environments. The objective of this doctorate, inserted in the thematic project "Climate change and environmental impacts in wetlands of the Pantanal (Brazil): quantification, control factors and long-term forecast", is the characterization and quantification of GHG emissions by the region of Nhecolândia, one of the five sub-regions of the Mato Grosso Pantanal. This subregion is characterized by the presence of an important lacustrine system, whose waters vary from fresh water composition, oligosaline to hypersaline. These types of ponds probably reflect distinct geochemical and biogeochemical behaviors. Measurements of CO2, CH4 and N2O emission will be performed over 24-hour cycles at intervals of 2 hours in floating chambers. Complementary chemical and isotopic analyzes will be carried out in the waters and sediments of the lagoons to help in understanding the behavior of the gases emitted. Microbiological studies will be available to support the interpretations carried out in the doctorate.The annual GHG emission balances will be modeled using the VENSIM Pro dynamic systems model, considering different climatic hypotheses for the study area. (AU)

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