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| 1 | Equations for estimating the above-ground biomass of Larix sibirica in the forest-steppe of Mongolia显示文摘Biomass functions were established to estimate above-ground biomass of Siberian larch (Larix sibirica) in the Altai Mountains of Mongolia. The functions are based on biomass sampling of trees from 18 different sites, which represent the driest locations within the natural range of L. sibirica. The best performing regression model was found for the equations y = (D2 H)/(a+bD) for stem biomass, y = aDb for branch biomass, and y=aDb Hc for needle biomass, where D is the stem diameter at breast height and H is the tree height. The robustness of the biomass functions is assessed by comparison with equations which had been previously published from a plantation in Iceland. There, y=aDb H c was found to be the most significant model for stem and total above-ground biomasses. Applying the equations from Iceland for estimating the above-ground biomass of trees from Mongolia resulted in the underestimation of the biomass in large-diameter trees and the overestimation of the biomass in thin trees. The underestimation of thick-stemmed trees is probably attributable to the higher wood density, which has to be expected under the ultracontinental climate of Mongolia compared to the euoceanic climate of Iceland. The overestimation of the biomass in trees with low stem diameter is probably due to the high density of young growth in the not systematically managed forests of the Mongolian Altai Mountains, which inhibits branching, whereas the plantations in Iceland are likely to have been planted in lower densities. | Purevragchaa Battulga Jamsran Tsogtbaatar Choimaa Dulamsuren Markus Hauck | 2013 | Journal of Forestry Research2013，24，3： | 10 |
| 2 | 基于WEQ方法的蒙古土壤风蚀空间评价(英文)显示文摘Wind erosion is a major contributor to land degradation and desertification. According to the Global Assessment of Human Induced Soil Degradation, the dryland territories of Mongolia are significantly affected by wind erosion. We used the wind erosion equation model in an Arc GIS environment to evaluate wind erosion across Mongolia. The individual factors of the wind erosion equation were parameterized using the following datasets:(a) monthly climatic data from 45 meteorological stations;(b) 16-day composites of MODIS Normalized Difference Vegetation Index data;(c) a SRTM DEM with a 90 m spatial resolution; and(d) the soil map of Mongolia. The results revealed the significant influence of aridity on wind erosion. The desert and semi-desert ecosystems were more vulnerable to wind erosion, hence more affected. The map of wind erosion revealed three major wind erosion regions where the maximum soil loss of 15–27 t/(hm^2·a) was observed. In general, the wind erosion potentials for the entire country of Mongolia are 15–27 t/(hm^2·a) in the deserts and semi-deserts, 10–15 t/(hm^2·a) in the dry steppes and 5–10 t/(hm^2·a) in the steppe regions. | Nyamtseren MANDAKH Jamsran TSOGTBAATAR Doljin DASH Sodov KHUDULMUR | 2016 | Journal of Geographical Sciences2016，26，4： | 8 |
| 3 | Threshold changes in vegetation along a grazing gradient in Mongolian rangelands显示文摘 | Sasaki T Okayasu T Jamsran U Takeuchi K | | 0，，： | 1 |
| 4 | Forest and forestry research and education in Mongolia显示文摘 | Nyam -Osor B Don K L Jamsran T | 2011 | Journal of Sustainable Forestry2011，30，6： | 1 |
| 5 | Threshold changes in vegetation along a grazing gradient in Mongolian rangelands显示文摘 | Sasaki T Okayasu T Jamsran U | 2008 | Journal of Ecology (Oxford)2008，96，1： | 1 |
| 6 | Spatially heterogeneous impacts on rangeland after social system change in Mongolia显示文摘 | OKAYASU T MUTO M*JAMSRAN 1]y | 2007 | Land Degradation and Development2007，18，5： | 1 |
| 7 | Threshold changes in vegetation along a grazing gradient in Mongolian rangelands 显示文摘 | Sasaki T Okayasu T Jamsran U | 2008 | Journal of Ecology2008，96，1： | 1 |
| 8 | Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia显示文摘The Uvs Lake Basin in western Mongolia is a natural world heritage site and is known for its diversity in landscape and wildlife.Recently,investigative research has shown that the protected pristine ecotone is suffering land degradation due to global warming.In order to obtain evidence of the changes over a long-term time scale,serial multi-temporal Landsat images obtained between 1995 and 2015 were used to classify land cover and land cover changes over the Basin ecoregion using a machine learning classification technique,support vector machine.Results showed that the forest land area in 1995 was 1888.48 km^2 which was equivalent to 7.48%of the total area of the study site.The forest area showed considerable decrease by 301.36 km^2 during the first decade(1995–2004)and 155.81 km^2 during second decade(2004–2015).A total of 457.17 km^2 or 24.21%of the forest land has been developed,most being changed into grassland.The major driver of such changes was illegal logging,forest fire,and pest damage.However grassland was changed primarily into bare land during the two decades.The area of glacier was decreased and primarily changed into water body.In contrast,the area of sand in the Basin ecoregion increased dramatically from 65.20 km^2 in 1995 to 318.33 km^2 in 2015 the increase being mostly from the transition of bare land.In summary,the drivers of the significant decrease of greenness coverage and increase of sand/bare land areas were the interaction of complicated disturbances in both anthropogenic and natural factors,in which logging,grazing,wind erosion,and global warming were the key causes. | Buyan-Erdene Jamsran Chinsu Lin Ishgaldan Byambakhuu Jamsran Raash Khaulenbek Akhmadi | 2019 | Information Processing in Agriculture2019，6，1： | 0 |
| 9 | 不同森林生态系统对全球气候变化和经济活动响应的比较分析(英文)显示文摘本文对俄罗斯、蒙古和中国范围气候变化对不同生态系统(寒带、热带)空气记录分布的影响进行研究,并将这些生态系统对全球气候变化的响应进行比较分析,其中空气记录来自研究范围的关键区域。研究发现,森林生态系统对气候变化具有一定的响应。伴随着气候变化,社会经济活动对生态系统的影响显著。研究结果表明,气候驱动力和人类直接影响对森林和草原生态系统如何施加影响有待进一步研究。 | Svetlana Dorzhievna PUNTSUKOVA Bair Octyabrevich GOMBOEV Margarita Ramilievna AKHMETZYANOVA Tsogtbatar JAMSRAN Tsendesuren DAGDAN 董锁成 | 2015 | Journal of Resources and Ecology2015，6，2： | 0 |
| 10 | Assessment of early survival and growth of planted Scots pine(Pinus sylvestris) seedlings under extreme continental climate conditions of northern Mongolia显示文摘Environmental factors play vital roles in successful plantation and cultivation of tree seedlings.This study focuses on problems associated with reforestation under extreme continental climatic conditions.The objectives were to assess relative seedling performance(survival and growth)with respect to plantation age,and to analyze the influence of specific climatic factors during the early stages of Scots pine(Pinus sylvestris L.)plantations.The study was carried out in reforested areas of the Tujyin Nars region of northern Mongolia on six Scots pine plantations ranging from 5 to 10 years.In each of the six plantations,five 900 m^2 permanent sample plots were established and survival rates and growth performance measured annually over 7 years.Results show high variation in survival among the plantations(p<0.001,F=29.7).Seedling survival in the first year corresponded directly to the number of dry days in May.However,survival rate appeared to stabilize after the second year.The insignificant variation of height categories throughout the observation period indicated low competition among individuals.Two linear mixed-effect models show that height and radial growth were best explained by relative air humidity,which we consider to be a reliable indicator of site-specific water availability.Insufficient amounts and uneven distribution of rainfall pose a major threat during the first year of plantation establishment.Humidity and water availability are decisive factors for a successful seedling plantation.This highlights the impact of drought on forest plantations in northern Mongolia and the importance of developing climate resilient reforestation strategies. | Gerelbaatar Sukhbaatar Batsaikhan Ganbaatar Tsogtbaatar Jamsran Battulga Purevragchaa Baatarbileg Nachin Alexander Gradel Tao Xu | 2020 | Journal of Forestry Research2020，31，1： | 0 |
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