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Phylogenetic biodiversity assessment based on systematic nomenclature

Biodiversity assessment demands objective measures, because ultimately conservation decisions must prioritize the use of limited resources for preserving taxa. The most general framework for the objective assessment of conservation worth are those that assess evolutionary distinctiveness, e.g. Genet...

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Detalles Bibliográficos
Autores principales: Crozier, Ross H, Dunnett, Lisa J, Agapow, Paul-Michael
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2658867/
https://www.ncbi.nlm.nih.gov/pubmed/19325850
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author Crozier, Ross H
Dunnett, Lisa J
Agapow, Paul-Michael
author_facet Crozier, Ross H
Dunnett, Lisa J
Agapow, Paul-Michael
author_sort Crozier, Ross H
collection PubMed
description Biodiversity assessment demands objective measures, because ultimately conservation decisions must prioritize the use of limited resources for preserving taxa. The most general framework for the objective assessment of conservation worth are those that assess evolutionary distinctiveness, e.g. Genetic (Crozier 1992) and Phylogenetic Diversity (Faith 1992), and Evolutionary History (Nee & May 1997). These measures all attempt to assess the conservation worth of any scheme based on how much of the encompassing phylogeny of organisms is preserved. However, their general applicability is limited by the small proportion of taxa that have been reliably placed in a phylogeny. Given that phylogenizaton of many interesting taxa or important is unlikely to occur soon, we present a framework for using taxonomy as a reasonable surrogate for phylogeny. Combining this framework with exhaustive searches for combinations of sites containing maximal diversity, we provide a proof-of-concept for assessing conservation schemes for systematized but un-phylogenised taxa spread over a series of sites. This is illustrated with data from four studies, on North Queensland flightless insects (Yeates et al. 2002), ants from a Florida Transect (Lubertazzi & Tschinkel 2003), New England bog ants (Gotelli & Ellison 2002) and a simulated distribution of the known New Zealand Lepidosauria (Daugherty et al. 1994). The results support this approach, indicating that species, genus and site numbers predict evolutionary history, to a degree depending on the size of the data set.
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spelling pubmed-26588672009-03-25 Phylogenetic biodiversity assessment based on systematic nomenclature Crozier, Ross H Dunnett, Lisa J Agapow, Paul-Michael Evol Bioinform Online Original Research Biodiversity assessment demands objective measures, because ultimately conservation decisions must prioritize the use of limited resources for preserving taxa. The most general framework for the objective assessment of conservation worth are those that assess evolutionary distinctiveness, e.g. Genetic (Crozier 1992) and Phylogenetic Diversity (Faith 1992), and Evolutionary History (Nee & May 1997). These measures all attempt to assess the conservation worth of any scheme based on how much of the encompassing phylogeny of organisms is preserved. However, their general applicability is limited by the small proportion of taxa that have been reliably placed in a phylogeny. Given that phylogenizaton of many interesting taxa or important is unlikely to occur soon, we present a framework for using taxonomy as a reasonable surrogate for phylogeny. Combining this framework with exhaustive searches for combinations of sites containing maximal diversity, we provide a proof-of-concept for assessing conservation schemes for systematized but un-phylogenised taxa spread over a series of sites. This is illustrated with data from four studies, on North Queensland flightless insects (Yeates et al. 2002), ants from a Florida Transect (Lubertazzi & Tschinkel 2003), New England bog ants (Gotelli & Ellison 2002) and a simulated distribution of the known New Zealand Lepidosauria (Daugherty et al. 1994). The results support this approach, indicating that species, genus and site numbers predict evolutionary history, to a degree depending on the size of the data set. Libertas Academica 2007-02-21 /pmc/articles/PMC2658867/ /pubmed/19325850 Text en Copyright © 2005 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Original Research
Crozier, Ross H
Dunnett, Lisa J
Agapow, Paul-Michael
Phylogenetic biodiversity assessment based on systematic nomenclature
title Phylogenetic biodiversity assessment based on systematic nomenclature
title_full Phylogenetic biodiversity assessment based on systematic nomenclature
title_fullStr Phylogenetic biodiversity assessment based on systematic nomenclature
title_full_unstemmed Phylogenetic biodiversity assessment based on systematic nomenclature
title_short Phylogenetic biodiversity assessment based on systematic nomenclature
title_sort phylogenetic biodiversity assessment based on systematic nomenclature
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2658867/
https://www.ncbi.nlm.nih.gov/pubmed/19325850
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