Entropy based statistical inference for methane emissions released from wetland

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...

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Bibliographic Details
Published in:Chemometrics and intelligent laboratory systems 2015-02, Vol.141, p.125-133
Main Authors: Sabolová, R., Sečkárová, V., Dušek, J., Stehlík, M.
Format: Article
Language:English
Subjects:
Chaos
Entropy
Kullback–Leibler (KL) divergence
Pareto distribution
Saddlepoint approximation
Wetland ecosystem
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Summary: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. •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.
ISSN:0169-7439
1873-3239
DOI:10.1016/j.chemolab.2014.12.008