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Titolo:
GENE DISPERSAL AND SPATIAL GENETIC-STRUCTURE
Autore:
EPPERSON BK; LI TQ;
Indirizzi:
MICHIGAN STATE UNIV,DEPT FORESTRY E LANSING MI 48824
Titolo Testata:
Evolution
fascicolo: 3, volume: 51, anno: 1997,
pagine: 672 - 681
SICI:
0014-3820(1997)51:3<672:GDASG>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
AUTO-CORRELATION ANALYSIS; BY-DISTANCE MODEL; PLANT-POPULATIONS; IPOMOEA-PURPUREA; AUTOCORRELATION ANALYSIS; NATURAL-POPULATION; IMPATIENS-CAPENSIS; OUTCROSSING RATE; MORNING GLORY; GENOTYPES;
Keywords:
DISPERSAL; GENE FLOW; POPULATION STRUCTURE; SPATIAL STATISTICS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
40
Recensione:
Indirizzi per estratti:
Citazione:
B.K. Epperson e T.Q. Li, "GENE DISPERSAL AND SPATIAL GENETIC-STRUCTURE", Evolution, 51(3), 1997, pp. 672-681

Abstract

Spatial autocorrelation statistics have been studied in theoretical population genetic models and widely used in experimental studies of spatial structure in many plant and animal populations. However, the statistical properties of spatial autocorrelation statistics have remained uncharacterized. Little is known about how values of spatial autocorrelation statistics in population samples depend on the level of dispersal and scheme of sampling. In this paper, we characterize the statistical properties of join-count spatial autocorrelation statistics for population genetic surveys under various conditions of dispersal and sampling. The results indicate generally high statistical power. These results can provide a method to estimate gene dispersal based on standing spatial patterns of genetic variation observed within populations.

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Documento generato il 26/11/20 alle ore 11:47:21