TreeBASE Search-Citation for study 24059

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Citation for Study 24059

Citation title: "Where Should Wild Species be Sampled? New Method Based on Isolation-by-Distance Objectively Gives the Answer".

Study name: "Where Should Wild Species be Sampled? New Method Based on Isolation-by-Distance Objectively Gives the Answer".

This study is part of submission 24059 (Status: Published).

Citation

Aoki S., & Ito M. 2020. Where Should Wild Species be Sampled? New Method Based on Isolation-by-Distance Objectively Gives the Answer. Molecular Ecology Resources, .

Authors

Aoki S. (submitter)
Ito M.

Abstract

Random sampling is an important statistical assumption, but virtually impossible when sampling a wild species as we cannot know where all the individuals exist. While inter-population or intra-taxa sampling methods have been developed, there are currently few intra-taxon sampling methods to objectively decide where to sample wild taxa. We suggest a new sampling method which computes appropriate sampling locations from coordinates, assuming geographical autocorrelation of phylogeny within a taxon (isolation-by-distance). The computed locations encompass the highest genetic diversity, providing a genetically representative sample. In addition, it can utilize presence/absence information during sampling to re-optimize sampling scheme. Comparing to the single existing method of the similar purpose, the merits of ours is unnecessity of environmental data resulting in easy application, and is theoretically deduced. We tested this method using published phylogeographical data. The test result was generally encouraging, but the method failed where species showed uniform genetic structure or recent distribution expansion which violate the assumption of geographical autocorrelation of phylogeny. Though simple, our method constructs a methodological and statistical foundation for sampling wild species, and is applicable to revising taxonomic study and conservation biology.

External links

About this resource

Canonical resource URI: http://purl.org/phylo/treebase/phylows/study/TB2:S24059
Other versions: Nexus NeXML

Show BibTeX reference

		@ARTICLE{TreeBASE2Ref30695,
	 author = {Satoshi  Aoki and Motomi  Ito},
	 title = {Where Should Wild Species be Sampled?  New Method Based on Isolation-by-Distance Objectively Gives the Answer},
	 year = {2020},
	 keywords = {},
	 doi = {},
	 url = {http://},
	 pmid = {},
	 journal = {Molecular Ecology Resources},
	 volume = {},
	 number = {},
	 pages = {},
	 abstract = {Random sampling is an important statistical assumption, but virtually impossible when sampling a wild species as we cannot know where all the individuals exist. While inter-population or intra-taxa sampling methods have been developed, there are currently few intra-taxon sampling methods to objectively decide where to sample wild taxa. We suggest a new sampling method which computes appropriate sampling locations from coordinates, assuming geographical autocorrelation of phylogeny within a taxon (isolation-by-distance). The computed locations encompass the highest genetic diversity, providing a genetically representative sample. In addition, it can utilize presence/absence information during sampling to re-optimize sampling scheme. Comparing to the single existing method of the similar purpose, the merits of ours is unnecessity of environmental data resulting in easy application, and is theoretically deduced. We tested this method using published phylogeographical data. The test result was generally encouraging, but the method failed where species showed uniform genetic structure or recent distribution expansion which violate the assumption of geographical autocorrelation of phylogeny. Though simple, our method constructs a methodological and statistical foundation for sampling wild species, and is applicable to revising taxonomic study and conservation biology.}
}

Show RIS reference

TY - JOUR
ID - 30695
AU - Aoki,Satoshi
AU - Ito,Motomi
T1 - Where Should Wild Species be Sampled? New Method Based on Isolation-by-Distance Objectively Gives the Answer
PY - 2020
KW -
UR - http://dx.doi.org/
N2 - Random sampling is an important statistical assumption, but virtually impossible when sampling a wild species as we cannot know where all the individuals exist. While inter-population or intra-taxa sampling methods have been developed, there are currently few intra-taxon sampling methods to objectively decide where to sample wild taxa. We suggest a new sampling method which computes appropriate sampling locations from coordinates, assuming geographical autocorrelation of phylogeny within a taxon (isolation-by-distance). The computed locations encompass the highest genetic diversity, providing a genetically representative sample. In addition, it can utilize presence/absence information during sampling to re-optimize sampling scheme. Comparing to the single existing method of the similar purpose, the merits of ours is unnecessity of environmental data resulting in easy application, and is theoretically deduced. We tested this method using published phylogeographical data. The test result was generally encouraging, but the method failed where species showed uniform genetic structure or recent distribution expansion which violate the assumption of geographical autocorrelation of phylogeny. Though simple, our method constructs a methodological and statistical foundation for sampling wild species, and is applicable to revising taxonomic study and conservation biology.
L3 -
JF - Molecular Ecology Resources
VL -
IS -
ER -