Dr. Bazartseren Boldgiv, PhD - National University of Mongolia

Dr. Bazartseren Boldgiv

PhD

National University of Mongolia

Ulaanbaatar | Mongolia

ORCID logohttps://orcid.org/0000-0003-0015-8142

Dr. Bazartseren Boldgiv, PhD - National University of Mongolia

Dr. Bazartseren Boldgiv

PhD

Introduction

Primary Affiliation: National University of Mongolia - Ulaanbaatar , Mongolia

Publications

32Publications

702Reads

1Profile Views

Biogeography of predaceous diving beetles (Coleoptera, Dytiscidae) of Mongolia.

Zookeys 2019 6;853:87-108. Epub 2019 Jun 6.

Ecology Group, Department of Biology, National University of Mongolia, Ikh Surguuliin Gudamj 1, Ulaanbaatar 14201, Mongolia National University of Mongolia Ulaanbaatar Mongolia.

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http://dx.doi.org/10.3897/zookeys.853.33908DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565699PMC
June 2019
4 Reads

Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series.

Authors:
Antoine Fages Kristian Hanghøj Naveed Khan Charleen Gaunitz Andaine Seguin-Orlando Michela Leonardi Christian McCrory Constantz Cristina Gamba Khaled A S Al-Rasheid Silvia Albizuri Ahmed H Alfarhan Morten Allentoft Saleh Alquraishi David Anthony Nurbol Baimukhanov James H Barrett Jamsranjav Bayarsaikhan Norbert Benecke Eloísa Bernáldez-Sánchez Luis Berrocal-Rangel Fereidoun Biglari Sanne Boessenkool Bazartseren Boldgiv Gottfried Brem Dorcas Brown Joachim Burger Eric Crubézy Linas Daugnora Hossein Davoudi Peter de Barros Damgaard María de Los Ángeles de Chorro Y de Villa-Ceballos Sabine Deschler-Erb Cleia Detry Nadine Dill Maria do Mar Oom Anna Dohr Sturla Ellingvåg Diimaajav Erdenebaatar Homa Fathi Sabine Felkel Carlos Fernández-Rodríguez Esteban García-Viñas Mietje Germonpré José D Granado Jón H Hallsson Helmut Hemmer Michael Hofreiter Aleksei Kasparov Mutalib Khasanov Roya Khazaeli Pavel Kosintsev Kristian Kristiansen Tabaldiev Kubatbek Lukas Kuderna Pavel Kuznetsov Haeedeh Laleh Jennifer A Leonard Johanna Lhuillier Corina Liesau von Lettow-Vorbeck Andrey Logvin Lembi Lõugas Arne Ludwig Cristina Luis Ana Margarida Arruda Tomas Marques-Bonet Raquel Matoso Silva Victor Merz Enkhbayar Mijiddorj Bryan K Miller Oleg Monchalov Fatemeh A Mohaseb Arturo Morales Ariadna Nieto-Espinet Heidi Nistelberger Vedat Onar Albína H Pálsdóttir Vladimir Pitulko Konstantin Pitskhelauri Mélanie Pruvost Petra Rajic Sikanjic Anita Rapan Papeša Natalia Roslyakova Alireza Sardari Eberhard Sauer Renate Schafberg Amelie Scheu Jörg Schibler Angela Schlumbaum Nathalie Serrand Aitor Serres-Armero Beth Shapiro Shiva Sheikhi Seno Irina Shevnina Sonia Shidrang John Southon Bastiaan Star Naomi Sykes Kamal Taheri William Taylor Wolf-Rüdiger Teegen Tajana Trbojević Vukičević Simon Trixl Dashzeveg Tumen Sainbileg Undrakhbold Emma Usmanova Ali Vahdati Silvia Valenzuela-Lamas Catarina Viegas Barbara Wallner Jaco Weinstock Victor Zaibert Benoit Clavel Sébastien Lepetz Marjan Mashkour Agnar Helgason Kári Stefánsson Eric Barrey Eske Willerslev Alan K Outram Pablo Librado Ludovic Orlando

Cell 2019 May 2;177(6):1419-1435.e31. Epub 2019 May 2.

Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark. Electronic address:

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http://dx.doi.org/10.1016/j.cell.2019.03.049DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547883PMC
May 2019
20 Reads
32.242 Impact Factor

Author Correction: 137 ancient human genomes from across the Eurasian steppes.

Nature 2018 11;563(7729):E16

Center for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.

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http://dx.doi.org/10.1038/s41586-018-0488-1DOI Listing
November 2018
78 Reads
42.351 Impact Factor

Effects of increased temperature on plant communities depend on landscape location and precipitation.

Ecol Evol 2018 Jun 8;8(11):5267-5278. Epub 2018 May 8.

Department of Biology University of Pennsylvania Philadelphia PA USA.

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http://dx.doi.org/10.1002/ece3.3995DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010887PMC
June 2018
6 Reads
1.658 Impact Factor

137 ancient human genomes from across the Eurasian steppes.

Nature 2018 05 9;557(7705):369-374. Epub 2018 May 9.

Center for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.

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http://www.nature.com/articles/s41586-018-0094-2
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http://dx.doi.org/10.1038/s41586-018-0094-2DOI Listing
May 2018
85 Reads
42.351 Impact Factor

New data on the longhorn beetles of Mongolia with particular emphasis on the genus Breuning, 1947 (Coleoptera, Cerambycidae).

Zookeys 2018 22(739):107-150. Epub 2018 Feb 22.

Department of Zoology, Faculty of Biology and Environmental Protection, University of Silesia, Bankowa 9, 40-007 Katowice, Poland.

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http://dx.doi.org/10.3897/zookeys.739.23675DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904442PMC
February 2018
7 Reads

Leaf-trait plasticity and species vulnerability to climate change in a Mongolian steppe.

Glob Chang Biol 2015 Sep 19;21(9):3489-98. Epub 2015 May 19.

Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.

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http://dx.doi.org/10.1111/gcb.12934DOI Listing
September 2015
15 Reads
8.044 Impact Factor

High-levels of microplastic pollution in a large, remote, mountain lake.

Mar Pollut Bull 2014 Aug 24;85(1):156-63. Epub 2014 Jun 24.

Department of Biology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia.

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http://dx.doi.org/10.1016/j.marpolbul.2014.06.001DOI Listing
August 2014
47 Reads
2.991 Impact Factor

Climate change and grazing interact to alter flowering patterns in the Mongolian steppe.

Oecologia 2014 May 23;175(1):251-60. Epub 2014 Jan 23.

Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA,

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http://dx.doi.org/10.1007/s00442-014-2884-zDOI Listing
May 2014
17 Reads
3.093 Impact Factor

Spatial heterogeneity in macroinvertebrate density from Lake Hövsgöl, Mongolia

Journal of Species Research 09/2013; 2(2):159-166. DOI: 10.12651/JSR.2013.2.2.159

Journal of Species Research

Typical of large, oligotrophic lakes, Lake Hövsgöl, Mongolia, exhibits complex morphometry which should support a spatially heterogeneous community of benthic macroinvertrates. The lake also exhibits a broad range of land uses. Based on the variation in land use and complex physical habitat of the lake (e.g. substrate variation and presence of affluent streams in bays), we asked two questions. First, does density of total benthic macroinvertebrates vary between different bays in Lake Hövsgöl? Second, does density of individual benthic taxa vary by bay? Samples collected in 1997, the last year for benthic sampling of the lake, were designed to test for variation in macroinvertebrate density between bays and can now be used to establish baseline variation in density for future studies. A total of 56 Ponar grab samples were analyzed from six bays in Lake Hövsgöl. Results of a general linear model analysis of variance showed that total density of macroinvertebrates varied only slightly between bays of the lake, but that most individual taxa showed significant variation between bays. Variation in density for most taxa was linked to substrate composition rather than other geographic or physical variables in the lake. Recent increases in grazing intensity and ecotourism along the shores should be managed to reduce the nutrient load into the lake to avoid impairment of the benthic biota of this unique, ancient ecosystem.

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September 2013
2 Reads

Effects of grazing on plant community structure and aboveground net primary production of semi-arid boreal steppe of northern Mongolia

Grassland Science 09/2013; 59(3):135-145. DOI: 10.1111/grs.12022

Grassland Science

We studied the effects of grazing on plant community structure and total plant biomass across the landscape while taking account of nutrient gradient, from wet and nutrient-rich sites (north-facing steppe) to dry and nutrient-poor sites (south-facing steppe) in semiarid steppe of northern Mongolia. Livestock grazing increased species richness of wet and nutrient-rich sites, while no significant change was observed in dry and nutrient-poor sites. The species richness increase in the wet and nutrient-poor sites was explained by local colonization of grazing-tolerant species. Species that adapted in the wet and nutrient-rich sites were driven to local extinction as a consequence of competitive exclusion. At a large spatial scale, livestock grazing can have a potential negative effect on a regional species pool, as it excludes species adapted in wet and nutrient-rich sites. Although grazing did not affect species richness in the dry and nutrient-poor south-facing steppe, plant communities under grazing shifted to dominance by short and prostrate forb species. A spatial difference of the total plant biomass across the landscape was higher in non-grazed landscape but this difference lessened in grazed landscape. The greatest percentage reductions of the total plant biomass due to grazing were in wet and nutrient-rich sites. In conclusion, at a community level, plant communities responded differently to live- stock grazing, but at an ecosystem level, the total plant biomass decreased under grazing across the landscape of the semiarid boreal steppe. The livestock grazing in the wet and nutrient-rich sites resulted in the disappearance of moss cover, which is the main insulator of permafrost. The loss of moss cover could potentially accelerate a thawing of permafrost and warming of this region. Also, we found different results on dominance of Artemisia frigida Willd. from those reported in the steppe of Inner Mongolia. At a regional scale, this species might not be considered as an indicator species of livestock grazing.

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September 2013
3 Reads

Legumes mitigate ecological consequences of a topographic gradient in a northern Mongolian steppe.

Oecologia 2012 May 23;169(1):85-94. Epub 2011 Nov 23.

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104-6018, USA.

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http://dx.doi.org/10.1007/s00442-011-2183-xDOI Listing
May 2012
3 Reads
3.093 Impact Factor

Vulnerability of the northern Mongolian steppe to climate change: insights from flower production and phenology.

Ecology 2012 Apr;93(4):815-24

University of Pennsylvania, Department of Biology, Philadelphia, Pennsylvania 19104, USA.

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http://dx.doi.org/10.1890/11-1003.1DOI Listing
April 2012
4 Reads
4.656 Impact Factor

omega-Helices in proteins.

Protein J 2010 May;29(4):242-9

Department of Biophysics and Bioinformatics, National University of Mongolia, Ulaanbaatar, Mongolia.

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http://dx.doi.org/10.1007/s10930-010-9245-5DOI Listing
May 2010
13 Reads
0.912 Impact Factor

Estimating deer abundance in suburban areas with infrared-triggered cameras

Human-Wildlife Conflicts 02/2009; 3:116–128.

Human-Wildlife Conflicts

Interactions between ,humans ,and ,white-tailed deer ,(Odocoileus virginianus) have become common, often resulting in management actions to mitigate negative impacts. Changes,in population size are generally used,to judge management,actions. We examined deer population,estimation,techniques,during 2 mark-resighting experiments,in a,woodland- grassland,habitat in central New York State and,in a suburban,area. We compared,program NOREMARK, Lincoln-Petersonestimates, and Jacobson’s (1997) buck:doe ratios (BDR) for estimating deer abundance. In the first fi eld trial, we sought to validate the camera survey methods,and ,computer ,applications. We used ,infrared-triggered cameras ,(IRCs) to survey awhite-tailed deer population of known size that inhabited a fenced, woodland-grassland area (11-day survey, 1 camera/33 ha, fall 1999). We estimated deer abundance with program NOREMARK (Bowden ,estimator). Analysis of the ,photographic ,data ,with this technique produced,an accurate,and,precise population,estimate,in the fi rst experiment. In the second experiment, we used program NOREMARK and 2 similar estimators in a previously untested suburban,landscape. We surveyed,a suburban,white-tailed deer population,with IRCs during spring and fall 2000 (10-day surveys, 1 camera/38 ha), using program NOREMARK (Bowden estimator), the Jacobson BDR method, and the Lincoln-Peterson estimator. All 3 methods produced similar estimates of deer abundance. We concluded that IRCs, in conjunction with either program,NOREMARK or the Jacobson,BDR method,will provide,reliable estimates,of deer abundance,in suburban areas.

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February 2009
2 Reads

DNA evidence concerning the identities of Crax viridirostris Sclater, 1875, and C. estudilloi Allen, 1977

Ornitologia Neotropical 01/1999; 10:129-144.

Ornitologia Neotropical

We examined 474 base pairs of mitochondrial DNA (mtDNA) sequences to determine whether the nominal curassow species Crax viridirostris Sclater, 1875, and Crax estudilloi Allen, 1977, both known from single specimens, should be considered representatives of a species to be known as C. viridirostris Sclater, 1875, or whether both are descended from hybridization events involving species of the Great Curassow C. rubra complex. The mtDNA sequences of estudilloi were identical to those of the Blue-billed Curassow C. alberti, and those of viridirostris were identical to those of the Yellow-knobbed Curassow C. daubentoni. We argue that the simplest interpretation of these findings is that at unknown times in the ancestry of estudilloi and viridirostris, hybridization events occurred involving maternal parents of alberti and daubentoni, respectively. This interpretation is easily reconciled with viridirostris having been a captive bird in a European zoo but is not so easily reconciled with estudilloi having been obtained as a chick in Bolivia. We discuss this difficulty and other possible explanations of the data, all of which we consider to be less pref- erable than the hybrid origin interpretation.

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February 1999
2 Reads

Top co-authors

Sainbileg Undrakhbold
Sainbileg Undrakhbold

National University of Mongolia

7
Ludovic Orlando
Ludovic Orlando

University of Copenhagen

6
Eske Willerslev
Eske Willerslev

University of Copenhagen

6
Peter S Petraitis
Peter S Petraitis

University of Pennsylvania

6
Pierre Liancourt
Pierre Liancourt

University of Pennsylvania

6
Irina Shevnina
Irina Shevnina

Archaeological Laboratory

5
Laura A Spence
Laura A Spence

University of Cambridge

5
Andrey Logvin
Andrey Logvin

Archaeological Laboratory

5