Population genetic structure of a timberline oak (Quercus semecarpifolia Sm.) of western Himalayas and conservation implications

[1]  B. Rawat,et al.  A comprehensive review of Quercus semecarpifolia Sm.: An ecologically and commercially important Himalayan tree , 2022, Frontiers in Ecology and Evolution.

[2]  S. Pandey,et al.  Spatio-temporal distribution of broad-leaved Quercus semecarpifolia indicates altitudinal shift in northwestern Himalayas , 2022, Plant Ecology.

[3]  V. Negi,et al.  Temporal changes in Oak forests over last three decades in western Himalaya, India , 2021, Trees, Forests and People.

[4]  A. Hipp,et al.  Comparing Genetic Diversity in Three Threatened Oaks , 2021, Forests.

[5]  Chander Shekhar,et al.  Cross-transferability-based identification and validation of simple sequence repeat (SSR) markers in oaks of western Himalayas , 2021 .

[6]  A. Hipp,et al.  Oaks: an evolutionary success story. , 2019, The New phytologist.

[7]  A. Caballero,et al.  Optimal Management of Genetic Diversity in Subdivided Populations , 2019, Front. Genet..

[8]  Subrat Sharma,et al.  Long-term ecological monitoring on forest ecosystems in Indian Himalayan Region: Criteria and indicator approach , 2019, Ecological Indicators.

[9]  A. Lupini,et al.  Genetic diversity in old populations of sessile oak from Calabria assessed by nuclear and chloroplast SSR , 2019, Journal of Mountain Science.

[10]  J. Iriondo,et al.  Geography and Environment Shape Landscape Genetics of Mediterranean Alpine Species Silene ciliata Poiret. (Caryophyllaceae) , 2018, Front. Plant Sci..

[11]  Li Feng,et al.  Climatic and Soil Factors Shape the Demographical History and Genetic Diversity of a Deciduous Oak (Quercus liaotungensis) in Northern China , 2018, Front. Plant Sci..

[12]  Jin-Xian Liu,et al.  StructureSelector: A web‐based software to select and visualize the optimal number of clusters using multiple methods , 2018, Molecular ecology resources.

[13]  J. Oldenbroek.  Genomic management of animal genetic diversity , 2017 .

[14]  S. Puechmaille.  The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem , 2016, Molecular ecology resources.

[15]  M. Lauteri,et al.  Mapping the Genetic Diversity of Castanea sativa: Exploiting Spatial Analysis for Biogeography and Conservation Studies , 2016 .

[16]  M. Bajay,et al.  Elevation as a barrier: genetic structure for an Atlantic rain forest tree (Bathysa australis) in the Serra do Mar mountain range, SE Brazil , 2015, Ecology and evolution.

[17]  P. Fine,et al.  Evidence for ecological divergence across a mosaic of soil types in an Amazonian tropical tree: Protium subserratum (Burseraceae) , 2014, Molecular ecology.

[18]  W. Gapare.  Merging applied gene conservation activities with advanced generation breeding initiatives: a case study of Pinus radiata D. Don , 2014, New Forests.

[19]  B. P. Nautiyal,et al.  Spatial distribution and regeneration of Quercus semecarpifolia and Quercus floribunda in a subalpine forest of western Himalaya, India , 2013, Physiology and Molecular Biology of Plants.

[20]  Rod Peakall,et al.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update , 2012, Bioinform..

[21]  Kamaljit S. Bawa,et al.  Widespread Climate Change in the Himalayas and Associated Changes in Local Ecosystems , 2012, PloS one.

[22]  O. Rajora,et al.  Genetic diversity and differentiation of core vs. peripheral populations of eastern white cedar, Thuja occidentalis (Cupressaceae). , 2012, American journal of botany.

[23]  A. Nautiyal,et al.  Factors affecting regeneration potential of Quercus semecarpifolia, Smith: a poor regenerated oak of Himalayan timberline. , 2012 .

[24]  V. Sinha,et al.  Assessing impact of climate change on forest cover type shifts in Western Himalayan Eco-region , 2012, Journal of Forestry Research.

[25]  N. H. Ravindranath,et al.  Impact of climate change on Indian forests: a dynamic vegetation modeling approach , 2011 .

[26]  V. K. Dadhwal,et al.  Geospatial modeling of Brown oak (Quercus semecarpifolia) habitats in the Kumaun Himalaya under climate change scenario , 2010 .

[27]  Gopal S. Rawat,et al.  Comparative study of fuelwood consumption by villagers and seasonal “Dhaba owners” in the tourist affected regions of Garhwal Himalaya, India , 2010 .

[28]  M. Nei,et al.  POPTREE2: Software for constructing population trees from allele frequency data and computing other population statistics with Windows interface. , 2010, Molecular biology and evolution.

[29]  R. Frankham.  Where are we in conservation genetics and where do we need to go? , 2010, Conservation Genetics.

[30]  Michael Matschiner,et al.  TANDEM: integrating automated allele binning into genetics and genomics workflows , 2009, Bioinform..

[31]  S. Ueno,et al.  Development of ten microsatellite markers for Quercus mongolica var. crispula by database mining , 2008, Conservation Genetics.

[32]  T. Geburek,et al.  Why the Conservation of Forest Genetic Resources Has Not Worked , 2008, Conservation biology : the journal of the Society for Conservation Biology.

[33]  S. Ueno,et al.  Microsatellite markers derived from Quercus mongolica var. crispula (Fagaceae) inner bark expressed sequence tags. , 2008, Genes & genetic systems.

[34]  Noah A. Rosenberg,et al.  CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure , 2007, Bioinform..

[35]  H. Sawada,et al.  Altitudinal Genetic Diversity and Differentiation of Quercus crispula in the Chichibu Mountains, Central Japan , 2007, International Journal of Plant Sciences.

[36]  B. Shrestha.  Quercus semecarpifolia Sm. in the Himalayan region: Ecology, exploitation and threats , 2006 .

[37]  M. Ubukata,et al.  Isolation and characterization of microsatellite loci from Quercus mongolica var. crispula , 2006 .

[38]  K. Ho,et al.  Source populations of Quercus glauca in the last glacial age in Taiwan revealed by nuclear microsatellite markers. , 2006, The Journal of heredity.

[39]  R. Petit,et al.  Conserving biodiversity under climate change: the rear edge matters. , 2005, Ecology letters.

[40]  R. Alía,et al.  Genetic diversity and differentiation of two Mediterranean pines (Pinus halepensis Mill. and Pinus pinaster Ait.) along a latitudinal cline using chloroplast microsatellite markers , 2005 .

[41]  S. Kalinowski.  hp-rare 1.0: a computer program for performing rarefaction on measures of allelic richness , 2005 .

[42]  C. Oosterhout,et al.  Micro-Checker: Software for identifying and correcting genotyping errors in microsatellite data , 2004 .

[43]  N. Rosenberg.  distruct: a program for the graphical display of population structure , 2003 .

[44]  D. H. Reed,et al.  Correlation between Fitness and Genetic Diversity , 2003 .

[45]  P. Donnelly,et al.  Inference of population structure using multilocus genotype data. , 2000, Genetics.

[46]  R. Petit,et al.  Identifying Populations for Conservation on the Basis of Genetic Markers , 1998 .

[47]  J. Hamrick,et al.  Effects of life history traits on genetic diversity in plant species , 1996 .

[48]  Peter Lesica,et al.  When Are Peripheral Populations Valuable for Conservation , 1995 .

[49]  M. D. Loveless,et al.  ECOLOGICAL DETERMINANTS OF GENETIC STRUCTURE IN PLANT POPULATIONS , 1984 .

[50]  H. E. Wright.  The environmental setting for plant domestication in the near East. , 1976, Science.

[51]  D. Shepard.  A two-dimensional interpolation function for irregularly-spaced data , 1968, ACM National Conference.

[52]  S. Wright,et al.  Isolation by Distance. , 1943, Genetics.

[53]  C. Echeverría,et al.  Identifying Genetic Hotspots by Mapping Molecular Diversity of Widespread Trees: When Commonness Matters. , 2015, The Journal of heredity.

[54]  E. Routman,et al.  Separating population structure from population history: a cladistic analysis of the geographical distribution of mitochondrial DNA haplotypes in the tiger salamander, Ambystoma tigrinum. , 1995, Genetics.

[55]  B. McDonald,et al.  Gene Flow in Plant Pathosystems , 1993 .