CoChat
Sign Up
Cited by 1,859

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Landscape genetics: combining landscape ecology and population genetics

Manel, Stéphanie, Schwartz, Michael K., Luikart, Gordon, Taberlet, Pierre·2003·Trends in Ecology & Evolution
DOI 10.1016/s0169-5347(03)00008-9
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/s0169-5347(03)00008-9

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 64

  1. Smouse, 1999, Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure, Heredity, 82, 561, 10.1038/sj.hdy.6885180 · DOI
  2. Sork, 1999, Landscape approaches to historical and contemporary gene flow in plants, Trends Ecol. Evol., 14, 219, 10.1016/S0169-5347(98)01585-7 · DOI
  3. Reed, 2001, How closely correlated are molecular and quantitative measures of genetic variation? A meta-analysis, Evolution, 55, 1095, 10.1111/j.0014-3820.2001.tb00629.x · DOI
  4. Crandall, 2000, Considering evolutionary processes in conservation biology, Trends Ecol. Evol., 15, 290, 10.1016/S0169-5347(00)01876-0 · DOI
  5. Moritz, 2002, Strategies to protect biological diversity and the evolutionary processes that sustain it, Syst. Biol., 5, 238, 10.1080/10635150252899752 · DOI
  6. Sokal, 1998, Spatial genetic structure of human populations in Japan, Hum. Biol., 70, 1
  7. Cassens, 2000, Mitochondrial DNA variation in the European otter (Lutra lutra) and the use of spatial autocorrelation analysis in conservation, J. Hered., 91, 31, 10.1093/jhered/91.1.31 · DOI
  8. Piertney, 1998, Local genetic structure in red grouse (Lagopus lagopus scoticus): evidence from microsatellite DNA markers, Mol. Ecol., 7, 1645, 10.1046/j.1365-294x.1998.00493.x · DOI
  9. Keyghobadi, 1999, Influence of landscape on the population genetic structure of the alpine butterfly Parnassius smintheus (Papilionidae), Mol. Ecol., 8, 1481, 10.1046/j.1365-294x.1999.00726.x · DOI
  10. Hanski, 1998, Metapopulation dynamics, Nature, 396, 41, 10.1038/23876 · DOI
  11. Piglucci, 1991, Geographical patterns of gene frequencies in Italian populations of Ornithogalum montanum (Liliaceae), Genet. Res., 58, 95, 10.1017/S0016672300029736 · DOI
  12. Slate, 1998, Bovine microsatellite loci are highly conserved in red deer (Cervus elaphus), sika deer (Cervus nippon) and Soay sheep (Ovis aries), Anim. Genet., 29, 307, 10.1046/j.1365-2052.1998.00347.x · DOI
  13. Menotti-Raymond, 1995, Evolutionary conservation of ten microsatellite loci in four species of Felidae, J. Hered., 86, 319, 10.1093/oxfordjournals.jhered.a111594 · DOI
  14. Atzmon, 2002, DNA markers and crossbreeding scheme as means to select sires for heterosis in egg production of chickens, Anim. Genet., 34, 132, 10.1046/j.1365-2052.2002.00856.x · DOI
  15. Hogan, 2002, Twenty-seven new microsatellites for the migratory Asian catfish family Pangasiidae, Mol. Ecol. Notes, 2, 38, 10.1046/j.1471-8286.2002.00139.x · DOI
  16. Black, 2001, Population genomics: genome-wide sampling of insect populations, Annu. Rev. Entomol., 46, 441, 10.1146/annurev.ento.46.1.441 · DOI
  17. Vitalis, 2001, Interpretation of variation across marker loci as evidence of selection, Genetics, 158, 1811, 10.1093/genetics/158.4.1811 · DOI
  18. Hardy, 2000, Spatial autocorrelation of allozyme and quantitative markers within a natural population of Centaurea jacea (Asteraceae), J. Evol. Biol., 13, 656, 10.1046/j.1420-9101.2000.00199.x · DOI
  19. McKay, 2002, Adaptative population divergence: markers, QTL and traits, Trends Ecol. Evol., 17, 285, 10.1016/S0169-5347(02)02478-3 · DOI
  20. Wu, 2001, The genic view of the process of speciation, J. Evol. Biol., 14, 851, 10.1046/j.1420-9101.2001.00335.x · DOI
  21. Lenormand, 1999, Tracking the evolution of insecticide resistance in the mosquito Culex pipiens, Nature, 400, 861, 10.1038/23685 · DOI
  22. Paetkau, 1995, Microsatellite analysis of population structure in Canadian polar bears, Mol. Ecol., 4, 347, 10.1111/j.1365-294X.1995.tb00227.x · DOI
  23. Wright, 1943, Isolation by distance, Genetics, 28, 114, 10.1093/genetics/28.2.114 · DOI
  24. Rousset, 2000, Genetic differentiation between individuals, J. Evol. Biol., 13, 58, 10.1046/j.1420-9101.2000.00137.x · DOI
  25. Mantel, 1967, The detection of disease clustering and a generalised regression approach, Cancer Res., 27, 209
  26. Sumner, 2001, Neighbourhood size, dispersal and density estimates in the prickly forest skink (Gnypetoscincus queenslandiae) using individual genetic and demographic methods, Mol. Ecol., 10, 1917, 10.1046/j.0962-1083.2001.01337.x · DOI
  27. Sokal, 1978, Spatial autocorrelation in biology, 2. Some implications and four applications of evolutionary interest, Biol. J. Linn. Soc., 10, 229, 10.1111/j.1095-8312.1978.tb00014.x · DOI
  28. Barbujani, 2000, Geographic patterns: how to identify them and why, Hum. Biol., 72, 133
  29. Pritchard, 2000, Inference of population structure using multilocus genotype data, Genetics, 155, 945, 10.1093/genetics/155.2.945 · DOI
  30. Dawson, 2001, A Bayesian approach to the identification of panmictic populations and the assignment of individuals, Genet. Res., 78, 59, 10.1017/S001667230100502X · DOI
  31. Stow, 2001, The impact of habitat fragmentation on dispersal of Cunningham's skink (Egernia cunninghami): evidence from allelic and genotypic analysis of microsatellites, Mol. Ecol., 10, 867, 10.1046/j.1365-294X.2001.01253.x · DOI
  32. Cornuet, 1999, New methods employing multilocus genotypes to select or exclude populations as origins of individuals, Genetics, 153, 1989, 10.1093/genetics/153.4.1989 · DOI
  33. Piazza, 1981, Synthetic gene frequency maps of man and selective effects of climate, Proc. Natl. Acad. Sci. U. S. A., 78, 2638, 10.1073/pnas.78.4.2638 · DOI
  34. Hanotte, 2002, African pastoralism: genetic imprints of origins and migrations, Science, 296, 336, 10.1126/science.1069878 · DOI · Paper page
  35. Monmonier, 1973, Maximum-difference barriers: an alternative numerical regionalization method, Geog. Anal., 3, 245, 10.1111/j.1538-4632.1973.tb01011.x · DOI
  36. Womble, 1951, Differential systematics, Science, 28, 315, 10.1126/science.114.2961.315 · DOI
  37. Barbujani, 1989, Detecting regions of abrupt change in maps of biological variables, Syst. Zool., 38, 389, 10.2307/2992403 · DOI
  38. Castric, 2001, Landscape structure and hierarchical genetic diversity in the brook charr. Salvelinus fontinalus, Evolution, 55, 1016, 10.1554/0014-3820(2001)055[1016:LSAHGD]2.0.CO;2 · DOI
  39. Spong, 2001, Deriving dispersal distances from genetic data, Proc. R. Soc. Lond. Ser. B, 268, 2571, 10.1098/rspb.2001.1835 · DOI
  40. Riginos, 2001, Population subdivision in marine environments: the contributions of biogeography, geographical distance and discontinuous habitat to genetic differentiation in a blennioid fish, Axoclinus nigricaudus, Mol. Ecol., 10, 1439, 10.1046/j.1365-294X.2001.01294.x · DOI
  41. Angers, 1999, Canonical correspondence analysis for estimating spatial and environmental effects on microsatellite gene diversity in brook charr (Salvelinus fontinalus), Mol. Ecol., 8, 1043, 10.1046/j.1365-294x.1999.00669.x · DOI
  42. Gram, 2001, Association between environmental and genetic heterogeneity in forest tree populations, Ecology, 82, 2012, 10.1890/0012-9658(2001)082[2012:ABEAGH]2.0.CO;2 · DOI
  43. Piazza, 1981, The making and testing of geographic gene-frequency maps, Biometrics, 37, 635, 10.2307/2530147 · DOI
  44. Piazza, 1995, Genetics and the origin of European languages, Proc. Natl. Acad. Sci. U. S. A., 92, 5836, 10.1073/pnas.92.13.5836 · DOI
  45. Jacquez, 1995, The map comparison problem: tests for the overlap of geographical boundaries, Stat. Med., 14, 2343, 10.1002/sim.4780142107 · DOI
  46. Reich, 2001, Linkage disequilibrium in the human genome, Nature, 411, 199, 10.1038/35075590 · DOI
  47. Primmer, 2002, Single-nucleotide polymorphism characterization in species with limited available sequence information: high nucleotide diversity revealed in the avian genome, Mol. Ecol., 11, 603, 10.1046/j.0962-1083.2001.01452.x · DOI
  48. Nielsen, 2001, Statistical tests of selective neutrality in the age of genomics, Heredity, 86, 641, 10.1046/j.1365-2540.2001.00895.x · DOI
  49. Estoup, 2000, Juxtaposed microsatellite systems as diagnostic markers for admixture: an empirical evaluation with brown trout (Salmo trutta) as model organism, Mol. Ecol., 9, 1873, 10.1046/j.1365-294x.2000.01099.x · DOI
  50. Epperson, 1996, Measurement of genetic structure within population using Moran's spatial autocorrelation statistics, Proc. Natl. Acad. Sci. U. S. A., 93, 10528, 10.1073/pnas.93.19.10528 · DOI
  51. Diniz-Filho, 2002, Spatial autocorrelation analysis and the identification of operational units for the conservation in continuous populations, Conserv. Biol., 16, 924, 10.1046/j.1523-1739.2002.00295.x · DOI
  52. Roach, 2001, Genetic structure of a metapopulation of black-tailed prairie dogs, J. Mammal., 82, 946, 10.1644/1545-1542(2001)082<0946:GSOAMO>2.0.CO;2 · DOI
  53. Raymond, 1995, Genpop (Version 1.2): population genetics software for exact tests and ecumenicism, J. Hered., 86, 248, 10.1093/oxfordjournals.jhered.a111573 · DOI
  54. Bertorelle, 1995, Analysis of DNA diversity by spatial autocorrelation, Genetics, 140, 811, 10.1093/genetics/140.2.811 · DOI
  55. Degen, 2001, SGS-Spatial genetic software: a computer program for analysis of spatial genetic and phenotypic structures of individuals and populations, J. Hered., 92, 447, 10.1093/jhered/92.5.447 · DOI
  56. Hardy, 2002, Spagedi: a versatile computer program to analyse spatial genetic structure at the individual or population levels, Mol. Ecol. Notes, 2, 618, 10.1046/j.1471-8286.2002.00305.x · DOI
  57. Goudet, 1995, FSTAT version 1.2: a computer program to calculate F statistics, J. Hered., 86, 485, 10.1093/oxfordjournals.jhered.a111627 · DOI
  58. Crisci, 2001, The voice of historical biogeography, J. Biogeogr., 28, 157, 10.1046/j.1365-2699.2001.00523.x · DOI
  59. Crisp, 2001, Historical biogeography and patterns of diversity in plants, algae and fungi: introduction, J. Biogeogr., 28, 153, 10.1046/j.1365-2699.2001.00522.x · DOI
  60. Wallace, 1860, On the Zoological Geography of the Malay Archipelago, J. Proc. Linn. Soc. Zool., 4, 172, 10.1111/j.1096-3642.1860.tb00090.x · DOI
  61. Petit, 2001, No evidence of bottleneck in the postglacial recolonization of Europe by the noctule bat (Nyctalus noctula), Evolution, 53, 1247, 10.2307/2640827 · DOI
  62. Mani, 2001, Genetic structure and linguistic boundaries in Italy: a microregional approach, Hum. Biol., 73, 335, 10.1353/hub.2001.0038 · DOI
  63. Brassel, 1979, A procedure to generate Thiessen polygons, Geog. Anal., 325, 31
  64. Barbujani, 1989, Zones of sharp genetic change in Europe are also linguistic boundaries, Proc. Natl. Acad. Sci. U. S. A., 87, 1816, 10.1073/pnas.87.5.1816 · DOI

Cited by

Sorted by citations

Metadata

Authors
Manel, S., Schwartz, M. K., Luikart, G., & Taberlet, P.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2003-04
Volume
18
Issue
4
Pages
189-197
ISSN
0169-5347
DOI
10.1016/s0169-5347(03)00008-9
Cited by
1,859
References
1
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review