On methods of spatial analysis for genotyped individuals

Heredity

Volumn 91, Issue 2, 2003, Pages 173-180

  Shimatani, K ^a   Takahashi, M ^b  

^a INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

^b FORESTRY AND FOREST PRODUCTS RESEARCH INSTITUTE   (Japan)

Author keywords

Join count statistics; Moran's statistics; NAC; Point process; Spatial autocorrelation; Spatial genetics

Indexed keywords

AUTOCORRELATION; GENETICS; SPATIAL ANALYSIS; STATISTICAL ANALYSIS;

BIOMETRY; COMPUTER SIMULATION; EVOLUTION; FAGUS; GENE FREQUENCY; GENOTYPE; JAPAN; MODELS, GENETIC; MODELS, STATISTICAL; MONTE CARLO METHOD; POPULATION DYNAMICS;

FAGUS; FAGUS CRENATA;

EID: 0042232324     PISSN: 0018067X     EISSN: None     Source Type: Journal    
DOI: 10.1038/sj.hdy.6800295     Document Type: Article

References (21)

1. Berg EE, Hamrick JL (1995). Fine-scale genetic structure of a Turkey oak forest. Evolution 49: 110-120.
2. Chung MG, Epperson BK (2000). Clonal and spatial genetic structure in Eurya emarginata (Theaceae). Heredity 84: 170-177.
3. Cliff AD, Ord JK (1981). Spatial Processes: Models and Applications. Pion Ltd: London.
4. Epperson B (1995). Fine-scale spatial structure: correlations for individual genotypes differ from those for local gene frequencies. Evolution 49: 1022-1026.
5. Geburek T, Tripp-Knowles P (1994). Genetic architecture in bur oak, Quercus macrocarpa (Fagaceae), inferred by means of spatial autocorrelation analysis. Plant Syst Evol 189: 63-74.
6. Hasse P (1995). Spatial pattern analysis in ecology based on Ripley's K-function: Introduction and methods of edge correction. J Veg Sci 6: 575-582.
7. Heywood JS (1991). Spatial analysis of genetic variation in plant populations. Annu Rev Ecol Syst 22: 335-355.
8. Leonardi S, Menozzi P (1996). Spatial structure of genetic variability in natural stands of Fagus sylvatica L. (beech) in Italy. Heredity 77: 359-368.
9. Loisselle BA, Sork VL, Nason J, Graham C (1995). Spatial genetic structure of a tropical understory shrub, Psychotria officinalis (Rubiaceae). Am J Bot 82: 1420-1425.
10. Pettinen A, Stoyan D, Henttonen HM (1992). Marked point processes in forest statistics. For Sci 38: 806-824.
11. Shimatani K (2002). Point processes for fine-scale spatial genetics and molecular ecology. Biom J 44: 325-352.
12. Slatkin M, Arter HE (1991). Spatial autocorrelation methods in population genetics. Am Nat 138: 499-517.
13. Smouse PE, Peakall R (1999). Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure. Heredity 82: 561-573.
14. Sokal RR, Oden NL (1978). Spatial autocorrelation in biology. 1. Methodology. Biol J Linn Soc 10: 199-228.
15. Stoyan D, Stoyan H (1994). Fractals, Random Shapes and Point Fields. John Wiley and Sons: Chichester.
16. Stoyan D, Penttinen A (2000). Recent applications of point process methods in forestry statistics. Statist Sci 15: 61-78.
17. Streiff R, Labbe T, Bacilieri R, Steinkellner H, Glössl J, Kremer A. (1998). Within-population genetic structure in Quercus robur L. and Quercus petraea (Matt.) Liebl. assessed with isozymes and microsatellites. Mol Ecol 7: 317-328.
18. Surles SE, Arnold J, Schnabel A, Hamrick JL, Bongarten BC (1990). Genetic relatedness in open-pollinated families of two leguminous tree species, Robinia pseudoacacia L. and Gleditsia triacanthos L. Theor Appl Genet 80: 49-56.
19. Takahashi M, Mukouda M, Koono K (2000). Differences in genetic structure between two Japanese beech (Fagus crenata Blume) stands. Heredity 84: 103-115.
20. Ueno S, Tomaru N, Yoshimaru H, Manabe T, Yamamoto S. (2000). Genetic structure of Camellia japonica L. in an old-growth evergreen forest, Tsushima, Japan. Mol Ecol 9: 647-656.
21. Xie CY, Knowles P (1991). Spatial genetic substructure within natural populations of jack pine (Pinus banksiana). Can J Bot 69: 547-551.