Information Theory-Based Approach to Assessing Ecosystem
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (28 May 2021) | Viewed by 6025
Special Issue Editors
Interests: environmental physics; air and soil pollution; multivariate statistical methods; information and redundancy in monitoring processes
Special Issues, Collections and Topics in MDPI journals
Interests: climate change modeling; weather variability and human health; hydrological process monitoring and modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ecosystems are complex systems, characterized by very different variables, with numerous feedback mechanisms and nonlinear behaviors. Multidimensional analysis for characterizing the correlation structures in environmental data sets and for evaluating the effectiveness of indicators for air, water, and soil quality plays a crucial role. Early recognition of the changes and robust methods for identifying significant variations are necessary to improve the operative procedures of ecosystem observation. For this Special Issue, papers dealing with indicators of entropy production, maximum entropy, quantity information, and redundancy for highlighting early changes in ecosystems will be considered.
More generally, papers exploring relationships among information, entropy, stress phenomena, and ecosystem goods and services will be considered.
Prof. Maria Ragosta
Prof. Vito Telesca
Guest Editors
Manuscript Submission Information
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Keywords
- information quantity
- redundancy
- maximum entropy
- ecosystem changes
- ecosystem goods and services
- pollution
- environmental stress
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