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The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef

In ecology and evolution, entropic methods are now used widely and increasingly frequently. Their use can be traced back to Ramon Margalef’s first attempt 70 years ago to use log-series to quantify ecological diversity, including searching for ecologically meaningful groupings within a large assembl...

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Detalles Bibliográficos
Autores principales: Sherwin, William B, Prat i Fornells, Narcis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515323/
https://www.ncbi.nlm.nih.gov/pubmed/33267507
http://dx.doi.org/10.3390/e21080794
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author Sherwin, William B
Prat i Fornells, Narcis
author_facet Sherwin, William B
Prat i Fornells, Narcis
author_sort Sherwin, William B
collection PubMed
description In ecology and evolution, entropic methods are now used widely and increasingly frequently. Their use can be traced back to Ramon Margalef’s first attempt 70 years ago to use log-series to quantify ecological diversity, including searching for ecologically meaningful groupings within a large assemblage, which we now call the gamma level. The same year, Shannon and Weaver published a generally accessible form of Shannon’s work on information theory, including the measure that we now call Shannon–Wiener entropy. Margalef seized on that measure and soon proposed that ecologists should use the Shannon–Weiner index to evaluate diversity, including assessing local (alpha) diversity and differentiation between localities (beta). He also discussed relating this measure to environmental variables and ecosystem processes such as succession. Over the subsequent decades, he enthusiastically expanded upon his initial suggestions. Finally, 2019 also would have been Margalef’s 100th birthday.
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spelling pubmed-75153232020-11-09 The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef Sherwin, William B Prat i Fornells, Narcis Entropy (Basel) Review In ecology and evolution, entropic methods are now used widely and increasingly frequently. Their use can be traced back to Ramon Margalef’s first attempt 70 years ago to use log-series to quantify ecological diversity, including searching for ecologically meaningful groupings within a large assemblage, which we now call the gamma level. The same year, Shannon and Weaver published a generally accessible form of Shannon’s work on information theory, including the measure that we now call Shannon–Wiener entropy. Margalef seized on that measure and soon proposed that ecologists should use the Shannon–Weiner index to evaluate diversity, including assessing local (alpha) diversity and differentiation between localities (beta). He also discussed relating this measure to environmental variables and ecosystem processes such as succession. Over the subsequent decades, he enthusiastically expanded upon his initial suggestions. Finally, 2019 also would have been Margalef’s 100th birthday. MDPI 2019-08-15 /pmc/articles/PMC7515323/ /pubmed/33267507 http://dx.doi.org/10.3390/e21080794 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sherwin, William B
Prat i Fornells, Narcis
The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title_full The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title_fullStr The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title_full_unstemmed The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title_short The Introduction of Entropy and Information Methods to Ecology by Ramon Margalef
title_sort introduction of entropy and information methods to ecology by ramon margalef
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515323/
https://www.ncbi.nlm.nih.gov/pubmed/33267507
http://dx.doi.org/10.3390/e21080794
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