xCO2 temporal variability above Brazilian agroecosystems: A remote sensing approach

Agriculture and soil management practices are closely related to CO 2 emissions in crop fields. These directly interfere on the carbon dynamics between land atmosphere. In this study, we investigated temporal variability of column-averaged dry-air mole fraction atmospheric (xCO ), solar-induced chlorophyll fluorescence (SIF), normalized difference vegetation index (NDVI) areas with main agroecosystems southern-central Brazil as a way understand if how crops cycle agricultural could be associated NDVI, SIF xCO . The study was carried out corresponding three agroecosystems’: sugarcane (Pradópolis, State São Paulo, Brazil), cropland soybean-corn succession (Santo Antônio do Paraíso, Paraná, grassland (Águas Claras, Mato Grosso Sul, Brazil). Air temperature, precipitation, were retrieved from NASA-POWER, NASA-GIOVANNI, SATVeg-EMBRAPA, OCO-2, respectively, during two-year study. Trends removed SIF, time series applying regression method. A negative correlation found areas, but grasslands, no showed up. Higher values observed (2.24 W m?2 sr?1 ?m?1), lower above grains, which varied 396.8 404.2 ppm. Both followed more seasonal pattern annual crops, over pasture presented an unusual higher precipitation events. Our results indicate potential use help identifying sources sinks additional greenhouse gas areas. • Solar induced (SIF) is sensitive phenology drought. correlated negatively SIF. activities. have identify GHG sinks.