Newton La Scala Júnior

• Abstract

  This project aims to quantify the main sources of greenhouse gases emissions associated with livestock activity in pastures in southeastern Brazil. The main issues to be studied are: the methane emitted from enteric fermentation of ruminants, nitrous oxide emitted by feces of grazing animals and carbon dioxide exchanged by soil and vegetation. The addition of fats in the diet could reduce…

  GHG full account and mitigation strategies in Brachiaria pastures submitted to different management, AP.TEM

• Abstract

  The population increase in the next decades puts a direct pressure over aspects that appear to be paradoxical: more food and energy production together with environmental protection. In addition IPCC reports have pointed to the need of adaptation in several productive sectors, including Latin America, as higher temperatures and drier periods are expected. Hence, in near future agricultura…

  Impact of management practices on soil CO2 emission in sugarcane production areas, Southern Brazil, AP.PFPMCG.TEM

• Abstract

  Preparation of the soil stimulates the loss of carbon (C) through the increase in aeration, improvement in the temperature and humidity conditions of the soil and through the release of a fraction of the labile organic matter (OM) previously protected by aggregates from decomposition. In this work we present the development of a model capable of explaining the emissions of carbon dioxide …

  Loss of carbon from the soil predicted by first order decomposition model: effect of the breaking down of aggregates and the incorporation of the vegetal cover on the emissions induced by the preparation, AP.R

(Only some records are available in English at this moment)

• Abstract

  Understanding the dynamics of carbon to detect sources and sinks in large areas, especially in agricultural or forested areas, is a challenge to be overcome. Recently, the use of remote sensing techniques has been an alternative in studies to evaluate carbon dynamics. Therefore, our objective will be to evaluate the spatiotemporal variation of atmospheric CO2 (XCO2) and solar-induced chlo…

  Spatio-temporal variation of CO2 and solar-induced fluorescence from satellite data for the South Mato Grosso State, BP.IC

• Abstract

  Climate change is a challenge for the global community and one of the causes is the increase of greenhouse gases (GHG) in the atmosphere, especially carbon dioxide (CO2). The main source of emission of this gas into the atmosphere comes from the burning of fossil fuels and the burning of biomass, on the other hand, the main source of absorption comes from biochemical processes such as pho…

  Spatiotemporal variability of atmospheric CO2 anomalies in Brazilian biomes, BP.IC

• Abstract

  Currently, the most common scenario for Brazilian sugarcane expansion is the conversion of pastures to sugarcane crops, where significant losses or gains of carbon in the soil can occur due to the specific management adopted in sugarcane. In this context, this research project aims to assess the impact of pasture conversion on sugarcane crops as a function of cover crops and conservationi…

  EXPANSION OF SUGARCANE AREAS UNDER DIFFERENT MANAGEMENT SYSTEMS: A LONG-TERM STUDY, BP.PD

(Only some records are available in English at this moment)

• Abstract

  The detection of Sun-Induced Fluorescence (SIF) by several sensors has opened new possibilities of studying the carbon cycle in the globe, however, the use of airborne sensors is still very low, despite their higher spatial resolution. Considering the potential of this technology, the objective of this project is to use different SIF monitoring techniques and indirectly validate them usin…

  Evaluation of different approaches for the retrieval of sun-induced fluorescence, BE.EP.IC

• Abstract

  Understand the mechanisms and interactions that govern soil carbon dynamics is essential for mitigating climate change and increasing world food production. In this context, in this project we aim to assess the performance of two classifier ensembles, bagging and boosting, to recognize patterns and predict soil carbon stock and its variations at the time and space, in sugarcane areas unde…

  Soil carbon stock prediction based on machine learning, BE.EP.PD

• Abstract

  The emission of greenhouse gases in agricultural areas is an important indicator of the sustainability of bioenergy and ethanol produced in Brazil, as well as modifications in the soil carbon stocks, induced by the management systems adopted by farmers. In this context, there is a demand for models which support the decision for better management practices to be applied in such areas. Hen…

  Modelling carbon dynamics and greenhouse gases emissions in tropical and Mediterranean cropping systems, BE.EP.PD

(Only some records are available in English at this moment)