Article thumbnail

Landscape features influence gene flow as measured by cost-distance and genetic analyses: a case study for giant pandas in the Daxiangling and Xiaoxiangling Mountains

By Lifeng Zhu, Xiangjiang Zhan, Tao Meng, Shanning Zhang and Fuwen Wei
Topics: Research Article
Publisher: BioMed Central
OAI identifier:
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2009). A new method for quantifying genotyping errors for noninvasive genetic studies. Conserv Genet
  2. (2005). A spatial statistical model for landscape genetics. Genetics
  3. (2005). AC: Population structure of brush-tailed rock-wallaby (Petrogale penicillata) colonies inferred from analysis of faecal DNA. Mol Ecol
  4. (2006). Administration: The 3rd National Survey Report on Giant Panda in China Science press,
  5. (2004). AW: Fine-scale spatial genetic correlation analyses reveal strong female philopatry within a brushtailed rock-wallaby colony in southeast Queensland. Mol Ecol
  6. (1984). Cockerham CC: Estimating F-statistics for the analysis of population structure. Evolution
  7. CQ: An assessment of giant panda habitat in Minshan,
  8. (2003). E: Incorporating landscape elements into a connectivity measure: a case study for the Speckled wood butterfly (Pararge aegeriaL.). Landsape Ecol
  9. (2002). Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology
  10. (2008). F: IBDSim: a computer program to simulate genotypic data under isolation by distance. Mol Ecol Res
  11. (2000). Fahrig L: On the usage and measurement of landscape connectivity. Oikos
  12. (2006). Fryxell JM: Dispersal and genetic structure in the American marten, Martes americana. Mol Ecol
  13. (2006). FW: A widely applicable protocol for DNA isolation from fecal samples. Biol Genet
  14. (2010). FW: Conservation implications of drastic reductions in the smallest and most isolated populations of giant pandas. Conserv Biol
  15. (2009). FW: Ecological niche modeling of the sympatric giant and red pandas on a mountain-range scale. Biodivers Conserv
  16. (2007). FW: Genetic viability and population history of the giant panda, putting an end to the “evolutionary dead end"? Mol Biol Evol
  17. (2006). FW: Molecular censusing doubles giant panda population estimate in a key nature reserve. Curr Biol
  18. (1993). G: Connectivity is a vital element of landscape structure. Oikos
  19. (2006). Gene flow and functional connectivity in the natterjack toad. Mol Ecol
  20. (1987). Gene flow and the geographic structure of natural populations.
  21. (1997). Genetic differentiation and estimation of gene flow from Fstatistics under isolation by distance. Genetics
  22. (2000). Genetic differentiation between individuals.
  23. (2006). Genetic isolation by distance and landscape connectivity in the American marten (Martes americana). Land Ecol
  24. (2001). Geographical and genetic distances among zooplankton populations in a set of interconnected ponds: a plea for using GIS modelling of the effective geographical distance. Mol Ecol
  25. (2006). Hewison AJ: Genetic structure is influenced by landscape features: empirical evidence from a roe deer population. Mol Ecol
  26. (2004). Hewison AJM: Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach. Mol Ecol
  27. (1997). Influences of area, isolation and habitat features on distribution of snakes in Mediterranean fragmented woodlands. Biol Cons
  28. (2008). KR: Integrating individual behaviour and landscape genetics: the population structure of timber rattlesnake hibernacula. Mol Ecol
  29. (2007). Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal. Landscape Ecol
  30. (2007). LC: Functional connectivity defined through cost-distance and genetic analyses: a case study for the rock-dwelling mountain vizcacha (Lagidium viscacia) in Patagonia, Argentina. Land Ecol
  31. (2007). LC: Functional connectivity defined through cost-distance and genetic analyses: a case study for the rock-dwelling mountain vizcacha (Lagidium viscacia) in Patagonia, Argentina. Landscape Ecol
  32. (2003). Matthysen E: Does matrix resistance influence red squirrel (Sciurus vulgaris L 1758) distribution in an urban landscape? Landscape Ecol
  33. (2003). Matthysen E: The application of’least-cost’ modelling as a functional landscape model. Landscape Urban Plan
  34. (2004). MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Res
  35. Molecular Evolutionary Genetics Columbia
  36. (2001). Neighbourhood” size, dispersal and density estimates in the prickly forest skink (Gnypetoscincus queenslandiae) using individual genetic and demographic methods. Mol Ecol
  37. (2002). Pajunen WI: A selective advantage to immigrant genes in a Daphnia metapopulation. Science
  38. (2005). PATHMATRIX: a GIS tool to compute effective distances among samples. Mol Ecol Res
  39. (1996). Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Res
  40. (2001). Research on the Giant Panda Shanghai Publishing House of Science and Technology,
  41. (2005). Smouse PE: GenAlEx 6: genetic analysis in Excel, Population genetic software for teaching and research. Mol Ecol Res
  42. (2001). Smulders MJM: Genetic similarity as a measure for connectivity between fragmented populations of the moor frog (Rana arvalis). Heredity
  43. (2005). Streams over mountains: influence of riparian connectivity on gene flow in the Pacific jumping mouse (Zapus trinotatus). Mol Ecol
  44. (2005). Taberlet P: Genotyping errors: causes, consequences and solutions. Nat Rev Genet
  45. (2003). Taberlet P: Landscape genetics: combining landscape ecology and population genetics. Trends Ecol Evol
  46. (1985). The Giant pandas of Wolong The University of Chicago Press,
  47. (1998). Thomson BA: Spatial genetic structure of human populations in Japan. Hum Biol
  48. (2002). Vekemans X: SPAGeDI: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Mol Ecol Res
  49. (2005). Zhang ZH: Enrichment of giant panda microsatellite markers using dynal magnet beads. Acta Genet Sinica