Entropy based statistical inference for methane emissions released from wetland

• Modeling of ecosystem needs addressing stochastic and chaotical issues.
• Relation to the underlying biology is given.
• Graphical method to fit measure of chaos by entropy is derived.

We concentrate on the paradigm question how much stochasticity and how much chaos are present in the methane emission model. In particular we analyze the residua from the process of methane emissions from wetlands in the sedge-grass marsh, in South Bohemia, Czech Republic. Relation to entropy and a specific version of Kullback–Leibler divergence will be given. A graphical tool to assess the amount of entropy in the system is developed and illustrated on real data from the sedge-grass marsh methane emission.