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Soil input consisted of available knowledge in terms of data and models in three case studies.
A summary of simplified soil input properties for subsurface soil in Central Jakarta was provided.
The final goal is to identify soil input data that require more accurate description (measurement) and the relevant spatial resolution for soil information.
The global sensitivity analysis is performed in three steps (i) screening among soil input data to identify those that most affect model outputs, (ii) quantifying the sensitivity of TNT2 to the dominant soil input factors and their interactions when considering a single soil and (iii) incorporating the soil pattern into the global sensitivity as an explicit input factor.
A spatial analysis of their spatial pattern (i.e. their presence/absence, coverage and aggregation) can help in defining the appropriate grid resolution that would minimize the error caused by aggregating soil input data in regional simulations.
In the absence of direct measurements, they represent a valuable tool for providing agro-ecological models with soil input estimations, whose accuracy is currently a key issue, especially in field- and regional-scale modelling which rely on soil information databases.
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help communities to develop small-scale energy and water systems, and to implement agricultural measures such as adjusting soil inputs and water storage systems for changing conditions.
Soil inputs and denitrification and nitrification inputs were the main sources of uncertainty in N2O emission at point scale.
Labor and equipment inputs were high for most projects, but were overshadowed by stone and soil inputs.
At landscape scale, uncertainty in soil inputs averaged out and uncertainty in denitrification and nitrification inputs was the dominant source of uncertainty.
The activity of β-glucosidase, alkaline phosphatase and urease was influenced by the C N ratio of the various soil inputs.
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