Optimizing nutrient management in oil palm plantations and upscaling greenhouse gas (GHG) fluxes from plot to a rainforest-transformation landscape (A05)

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Our project aims: 1) to investigate whether long-term (four years) management manipulations (reduced versus conventional fertilization rates and weed control) increase nutrient response and retention efficiencies as compared to the short-term (one-year) management effects in a large-scale oil palm plantation. 2) To conduct a comprehensive analysis of various ecosystem functions of whether reduced management can contribute to a more sustainable oil palm production than conventional management. 3) To generate a landscape-scale estimate and maps of soil N2O and CH4 fluxes; we will use a landform segmentation approach and the LAPSUS modelling framework.