| Data Set Citation |
NCEAS 2150: Gittleman: Problems in the quanitification of biodiversity, National Center for Ecological Analysis and Synthesis, and Crandall K.Evolutionary Significant Units (ESU) Table.
bowdish.279.1
(http://knb.ecoinformatics.org/knb/metacat/bowdish.279.1/nceas).
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| Data Tables, Images, and Other Entities: |
| Data Table: | ESUstudytable.xls
(View Metadata
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| Data Set Owner(s): |
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Organization: | NCEAS 2150: Gittleman: Problems in the quanitification of biodiversity |
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Organization: | National Center for Ecological Analysis and Synthesis |
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Individual: | Keith A. Crandall |
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| Abstract: |
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| This table was shared in conjunction with a working group project to assess the usefulness of algorithms and quantitative approaches to measuring biodiversity in terms of 'taxonomic distinctiveness' or 'independent evolutionary units'. The group evaluated whether and how phylogenetic information can be used to measure species value. Specifically, they analyzied the effects of sample size, topology, branch lengths and model of evolutionary change on various quantitative measures of phylogenetic diversity. The ESU crosshair classification used in this table is discussed in this publication: Crandall, K.A., Bininda-Emonds, O.R.P., Mace, G.M. and Wayne, R.K., Considering evolutionary processes in conservation biology: returning to the original meaning of "evolutionarily significant units". Trends in Ecology and Evolution 15(7):290-295 has more informaiton on this subject. |
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| Keywords: |
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- Evolution
- Endangered Species
- Phylogenetics
- Population genetics
- Biodiversity
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| Access Control: |
| Auth System: | knb |
| Order: | denyFirst |
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ALLOW:
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| Contact: |
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Individual: | Keith A. Crandall |
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Email Address:
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| Methods Info: |
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Description:
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| Crosshair Classification |
Crosshair classification tests the null hypothesis that populations are "exchangeable", in each of four ways: recent genetic, recent ecological, historical genetic, historical ecological. In the data table, the R stands for "rejected" (i.e. null hypothesis rejected, suggesting that the populations are distinct) and NR stands for "not rejected" (populations are not distinct).
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