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Entropy
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Information Theory-Based Approach to Assessing Ecosystem
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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 5974

Special Issue Editors

Dr. Maria Ragosta

E-Mail Website
Guest Editor
School of Engineering, University of Basilicata, 85100 Potenza, Italy
Interests: environmental physics; air and soil pollution; multivariate statistical methods; information and redundancy in monitoring processes
Special Issues, Collections and Topics in MDPI journals
Prof. Vito Telesca

E-Mail Website
Guest Editor
Department of Engineering, Università degli Studi della Basilicata, Potenza, Italy
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information quantity
  • redundancy
  • maximum entropy
  • ecosystem changes
  • ecosystem goods and services
  • pollution
  • environmental stress

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Published Papers (2 papers)

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Research

21 pages, 3269 KiB  
Article
Disentangling the Information in Species Interaction Networks
by Michiel Stock, Laura Hoebeke and Bernard De Baets
Entropy 2021, 23(6), 703; https://doi.org/10.3390/e23060703 - 2 Jun 2021
Viewed by 3044
Abstract
Shannon’s entropy measure is a popular means for quantifying ecological diversity. We explore how one can use information-theoretic measures (that are often called indices in ecology) on joint ensembles to study the diversity of species interaction networks. We leverage the little-known balance equation [...] Read more.
Shannon’s entropy measure is a popular means for quantifying ecological diversity. We explore how one can use information-theoretic measures (that are often called indices in ecology) on joint ensembles to study the diversity of species interaction networks. We leverage the little-known balance equation to decompose the network information into three components describing the species abundance, specificity, and redundancy. This balance reveals that there exists a fundamental trade-off between these components. The decomposition can be straightforwardly extended to analyse networks through time as well as space, leading to the corresponding notions for alpha, beta, and gamma diversity. Our work aims to provide an accessible introduction for ecologists. To this end, we illustrate the interpretation of the components on numerous real networks. The corresponding code is made available to the community in the specialised Julia package EcologicalNetworks.jl. Full article
(This article belongs to the Special Issue Information Theory-Based Approach to Assessing Ecosystem)
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14 pages, 666 KiB  
Article
Assessing Granger-Causality in the Southern Humboldt Current Ecosystem Using Cross-Spectral Methods
by Javier E. Contreras-Reyes and Carola Hernández-Santoro
Entropy 2020, 22(10), 1071; https://doi.org/10.3390/e22101071 - 24 Sep 2020
Cited by 16 | Viewed by 2315
Abstract
The southern Humboldt Current ecosystem is an important topic among researchers working on the drivers of pelagic species’ biological indicators. While sea surface temperature is believed to be a major driver in anchovies’ (Engraulis ringens) reproductive and body condition indicators, this [...] Read more.
The southern Humboldt Current ecosystem is an important topic among researchers working on the drivers of pelagic species’ biological indicators. While sea surface temperature is believed to be a major driver in anchovies’ (Engraulis ringens) reproductive and body condition indicators, this paper shows that regional drivers such as Pacific decadal oscillation anomalies also influence these biological processes. In addition, a warm condition could trigger increased gonad development of anchovies and synchronization of body condition dynamics with local environmental conditions stemming from sea turbulence and Ekman transport. To test the statistical significance of causality between two time series and determine the direction of causality, the frequency-domain Granger-causality method is considered. Therefore, this study provides additional predictive information, derived from past data on anchovy reproductive and feeding activities. The study could be useful for researchers working on relationships of environmental conditions and pelagic species to predict biological processes’ maximum and minimum peak movements and anchovy abundance in the southern Humboldt Current ecosystem. Full article
(This article belongs to the Special Issue Information Theory-Based Approach to Assessing Ecosystem)
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