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Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas
Biological evolution is generally regarded as a stochastic or probabilistic process, per the ideas of Darwin in the nineteenth century. Even if this is true at the meso-scale, it still may, however, be impacted by overarching constraints that we have not yet identified. In this paper, we revisit the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145530/ https://www.ncbi.nlm.nih.gov/pubmed/37109402 http://dx.doi.org/10.3390/life13040873 |
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author | Smith, Charles H. Georges, Patrick Nguyen, Ngoc |
author_facet | Smith, Charles H. Georges, Patrick Nguyen, Ngoc |
author_sort | Smith, Charles H. |
collection | PubMed |
description | Biological evolution is generally regarded as a stochastic or probabilistic process, per the ideas of Darwin in the nineteenth century. Even if this is true at the meso-scale, it still may, however, be impacted by overarching constraints that we have not yet identified. In this paper, we revisit the subject of mammal faunal regions with a mind to explore a potential kind of macroevolutionary influence. We first identify an optimum seven-region mammal faunal classification system based on spatial and phylogenetic data from a comprehensive 2013 review, and then examine the possibility that this classification provides supporting evidence for a Spinoza-influenced philosophical/theoretical model of the “natural system” concept developed by one of the authors in the 1980s. The hierarchical pattern of regional affinities revealed does do this. |
format | Online Article Text |
id | pubmed-10145530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101455302023-04-29 Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas Smith, Charles H. Georges, Patrick Nguyen, Ngoc Life (Basel) Article Biological evolution is generally regarded as a stochastic or probabilistic process, per the ideas of Darwin in the nineteenth century. Even if this is true at the meso-scale, it still may, however, be impacted by overarching constraints that we have not yet identified. In this paper, we revisit the subject of mammal faunal regions with a mind to explore a potential kind of macroevolutionary influence. We first identify an optimum seven-region mammal faunal classification system based on spatial and phylogenetic data from a comprehensive 2013 review, and then examine the possibility that this classification provides supporting evidence for a Spinoza-influenced philosophical/theoretical model of the “natural system” concept developed by one of the authors in the 1980s. The hierarchical pattern of regional affinities revealed does do this. MDPI 2023-03-24 /pmc/articles/PMC10145530/ /pubmed/37109402 http://dx.doi.org/10.3390/life13040873 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Smith, Charles H. Georges, Patrick Nguyen, Ngoc Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title | Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title_full | Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title_fullStr | Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title_full_unstemmed | Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title_short | Evolution and Biogeography, and the Systems Measurement of Mammalian Biotas |
title_sort | evolution and biogeography, and the systems measurement of mammalian biotas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145530/ https://www.ncbi.nlm.nih.gov/pubmed/37109402 http://dx.doi.org/10.3390/life13040873 |
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