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Klinge, Michael
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Klinge, Michael
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Klinge, Michael
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Klinge, M.
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2016Conference Paper [["dc.bibliographiccitation.firstpage","169"],["dc.bibliographiccitation.issue","71"],["dc.bibliographiccitation.journal","Annals of Glaciology"],["dc.bibliographiccitation.lastpage","178"],["dc.bibliographiccitation.volume","57"],["dc.contributor.author","Lehmkuhl, Frank"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Rother, Henrik"],["dc.contributor.author","Hülle, Daniela"],["dc.date.accessioned","2020-12-10T18:44:07Z"],["dc.date.available","2020-12-10T18:44:07Z"],["dc.date.issued","2016"],["dc.description.abstract","Despite being a key location for paleoglaciological research in north-central Asia, with the largest number of modern and Pleistocene glaciers, and in the transition zone between the humid Russian Altai and dry Gobi Altai, little is known about the precise extent and timing of Holocene and late Pleistocene glaciations in western Mongolia. Here we present detailed information on the distribution of modern and late Holocene glaciers, and new results addressing the geomorphological differentiation and numerical dating (by optically stimulated luminescence, OSL) of Pleistocene glacial sequences in these areas. For the Mongolian Altai, geochronological results suggest large ice advances correlative to marine isotope stages (MIS) 4 and 2. This is in contrast to results from the Khangai mountains, central Mongolia, showing that significant ice advances additionally occurred during MIS3. During the Pleistocene, glacial equilibrium-line altitudes (ELAs) were similar to 500 to > 1000m lower in the more humid portion of the Russian and western Mongolian Altai, compared to 300-600m in the drier ranges of the eastern Mongolian Altai. Pleistocene ELAs in the Khangai mountains were depressed by 700-1000 m, suggesting more humid conditions at times of major glaciation than in the eastern Mongolian Altai. This paleo-ELA pattern reveals that the precipitation gradient from the drier to the more humid regions was more pronounced during glacial times than at present."],["dc.identifier.doi","10.3189/2016AoG71A030"],["dc.identifier.eissn","1727-5644"],["dc.identifier.isi","000384891500018"],["dc.identifier.issn","0260-3055"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14039"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78334"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Cambridge Univ Press"],["dc.publisher.place","Cambridge"],["dc.relation.conference","International Symposium on Glaciology in High Mountain Asia (HMA)"],["dc.relation.eventlocation","Kathmandu, NEPAL"],["dc.relation.issn","1727-5644"],["dc.relation.issn","0260-3055"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Distribution and timing of Holocene and late Pleistocene glacier fluctuations in western Mongolia"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI WOS2017Journal Article [["dc.bibliographiccitation.firstpage","59"],["dc.bibliographiccitation.journal","Geomorphology"],["dc.bibliographiccitation.lastpage","71"],["dc.bibliographiccitation.volume","292"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Lehmkuhl, Frank"],["dc.contributor.author","Schulte, Philipp"],["dc.contributor.author","Hülle, Daniela"],["dc.contributor.author","Nottebaum, Veit"],["dc.date.accessioned","2020-12-10T14:24:19Z"],["dc.date.available","2020-12-10T14:24:19Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.geomorph.2017.04.027"],["dc.identifier.issn","0169-555X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72217"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Implications of (reworked) aeolian sediments and paleosols for Holocene environmental change in Western Mongolia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article [["dc.bibliographiccitation.firstpage","100628"],["dc.bibliographiccitation.journal","Aeolian Research"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Bertran, Pascal"],["dc.contributor.author","Andrieux, Eric"],["dc.contributor.author","Bateman, Mark D."],["dc.contributor.author","Fuchs, Markus"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Marembert, Fabrice"],["dc.date.accessioned","2021-04-14T08:30:21Z"],["dc.date.available","2021-04-14T08:30:21Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.aeolia.2020.100628"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83200"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","1875-9637"],["dc.title","Mapping and chronology of coversands and dunes from the Aquitaine basin, southwest France"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2000Journal Article [["dc.bibliographiccitation.firstpage","117"],["dc.bibliographiccitation.journal","Quaternary International"],["dc.bibliographiccitation.lastpage","132"],["dc.bibliographiccitation.volume","68"],["dc.contributor.author","Lehmkuhl, Frank"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Rees-Jones, J."],["dc.contributor.author","Rhodes, E. J."],["dc.date.accessioned","2018-11-07T11:15:27Z"],["dc.date.available","2018-11-07T11:15:27Z"],["dc.date.issued","2000"],["dc.description.abstract","The geomorphology and the cover sediments in the central and south-eastern part of the Tibetan Plateau provide information about climatic change. Luminescence dating of aeolian and colluvial silts on top of different moraine sequences provides the first indications for the timing of these sediments during the Late Quaternary and Holocene. Although there is a widespread cover of aeolian mantles in Tibet, only a few payers have focussed on them up to now. Samples from silt layers on top of Pleistocene moraines or solifluction debris from central and southern Tibet at elevations above 4000 m asl provide early Holocene ages in most sections. The aeolian silt on top of the \"Bomi-moraine\" in southeastern Tibet situated at an elevation of about 3000 m asl, provides an age of 25 ka. According to geomorphological investigations the Bomi moraine dates from the last ice age, which can be confirmed by the luminescence data. Moreover, one sample from a silt layer in-between gravel layers (Xainxa) is also Pleistocene in age according to its sedimentary and geomorphological situation. In the Tibetan Plateau Pleistocene loess mainly occurs below 4000 m asl. the Holocene material, a more sandy silt, lying above 4000 m asl. However, aeolian material capping the moraines provides only minimum ages for the terminal moraines: the time interval between glacier retreat and the accumulation of aeolian sediments may be several thousand years. The most important fact is the trapping of dust. In general, lakes and a denser vegetation cover are or were the main traps for the typical loess found in the mountain areas of the Tibetan Plateau. (C) 2000 Elsevier Science Ltd and INQUA. All rights reserved."],["dc.identifier.doi","10.1016/S1040-6182(00)00038-0"],["dc.identifier.isi","000089483800012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54366"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Pergamon-elsevier Science Ltd"],["dc.relation.issn","1040-6182"],["dc.title","Late Quaternary aeolian sedimentation in central and south-eastern Tibet"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]Details DOI WOS2018Journal Article [["dc.bibliographiccitation.firstpage","1319"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","1333"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Dulamsuren, Choimaa"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Karger, Dirk Nikolaus"],["dc.contributor.author","Hauck, Markus"],["dc.date.accessioned","2019-07-09T11:45:23Z"],["dc.date.accessioned","2020-05-11T13:15:36Z"],["dc.date.available","2019-07-09T11:45:23Z"],["dc.date.available","2020-05-11T13:15:36Z"],["dc.date.issued","2018"],["dc.description.abstract","In northern Mongolia, at the southern boundary of the Siberian boreal forest belt, the distribution of steppe and forest is generally linked to climate and topography, making this region highly sensitive to climate change and human impact. Detailed investigations on the limiting parameters of forest and steppe in different biomes provide necessary information for paleoenvironmental reconstruction and prognosis of potential landscape change. In this study, remote sensing data and gridded climate data were analyzed in order to identify main distribution patterns of forest and steppe in Mongolia and to detect environmental factors driving forest development. Forest distribution and vegetation vitality derived from the normalized differentiated vegetation index (NDVI) were investigated for the three types of boreal forest present in Mongolia (taiga, subtaiga and forest–steppe), which cover a total area of 73 818 km2. In addition to the forest type areas, the analysis focused on subunits of forest and nonforested areas at the upper and lower treeline, which represent ecological borders between vegetation types. Climate and NDVI data were analyzed for a reference period of 15 years from 1999 to 2013. The presented approach for treeline delineation by identifying representative sites mostly bridges local forest disturbances like fire or tree cutting. Moreover, this procedure provides a valuable tool to distinguish the potential forested area. The upper treeline generally rises from 1800 m above sea level (a.s.l.) in the northeast to 2700 m a.s.l. in the south. The lower treeline locally emerges at 1000 m a.s.l. in the northern taiga and rises southward to 2500 m a.s.l. The latitudinal gradient of both treelines turns into a longitudinal one on the eastern flank of mountain ranges due to higher aridity caused by rain-shadow effects. Less productive trees in terms of NDVI were identified at both the upper and lower treeline in relation to the respective total boreal forest type area. The mean growing season temperature (MGST) of 7.9–8.9 °C and a minimum MGST of 6 °C are limiting parameters at the upper treeline but are negligible for the lower treeline. The minimum of the mean annual precipitation (MAP) of 230–290 mm yr−1 is a limiting parameter at the lower treeline but also at the upper treeline in the forest–steppe ecotone. In general, NDVI and MAP are lower in grassland, and MGST is higher compared to the corresponding boreal forest. One exception occurs at the upper treeline of the subtaiga and taiga, where the alpine vegetation consists of mountain meadow mixed with shrubs. The relation between NDVI and climate data corroborates that more precipitation and higher temperatures generally lead to higher greenness in all ecological subunits. MGST is positively correlated with MAP of the total area of forest–steppe, but this correlation turns negative in the taiga. The limiting factor in the forest–steppe is the relative humidity and in the taiga it is the snow cover distribution. The subtaiga represents an ecological transition zone of approximately 300 mm yr−1 precipitation, which occurs independently from the MGST. Since the treelines are mainly determined by climatic parameters, the rapid climate change in inner Asia will lead to a spatial relocation of tree communities, treelines and boreal forest types. However, a direct deduction of future tree vitality, forest composition and biomass trends from the recent relationships between NDVI and climate parameters is challenging. Besides human impact, it must consider bio- and geoecological issues like, for example, tree rejuvenation, temporal lag of climate adaptation and disappearing permafrost."],["dc.identifier.doi","10.5194/bg-15-1319-2018"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15188"],["dc.identifier.scopus","2-s2.0-85043494931"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59218"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85043494931&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.relation.issn","1726-4189"],["dc.subject.ddc","550"],["dc.title","Climate effects on vegetation vitality at the treeline of boreal forests of Mongolia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article [["dc.bibliographiccitation.firstpage","780"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","788"],["dc.bibliographiccitation.volume","433"],["dc.contributor.author","Dulamsuren, Choimaa"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Bat-Enerel, Banzragch"],["dc.contributor.author","Ariunbaatar, Tumurbaatar"],["dc.contributor.author","Tuya, Daramragchaa"],["dc.date.accessioned","2019-07-17T13:23:04Z"],["dc.date.available","2019-07-17T13:23:04Z"],["dc.date.issued","2019"],["dc.description.abstract","The hypothesis was tested that the size and the degree of isolation of Larix sibirica forests in the forest-steppe ecotone of Mongolia affects aboveground and belowground carbon pool densities. The research question was based on the fact that both microclimate and the drought sensitivity of stemwood production were earlier shown to differ with stand size and isolation in this ecotone. Contrary to our hypothesis, we did not find significant differences in the organic carbon stock densities of the tree biomass and the mineral soil. The depth, carbon content and carbon stock density of the organic layer increased with stand size, but was not a major determinant of total ecosystem carbon stock density. Nevertheless, the increasing depth and the increasing humus content of the organic layer with stand size could be significant by improving moisture availability and, thus, promoting forest regeneration. Furthermore, reduced organic layer thickness and humus content and thus water storage capacity could be one out of several causes of the previously observed higher drought vulnerability of stemwood formation in small forest stands of the Mongolian forest-steppe. A mean carbon stock density of 237 Mg C ha⁻¹ for total ecosystem organic carbon stock density matches with earlier estimates for Mongolia's boreal forest corroborating the view that the ecosystem carbon pool density at the southern edge of the boreal forest is lower compared to forests at higher latitudes with even colder climate and deeper and more widespread permafrost."],["dc.identifier.doi","10.1016/j.foreco.2018.10.054"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61718"],["dc.language.iso","en"],["dc.relation.issn","0378-1127"],["dc.title","Effects of forest fragmentation on organic carbon pool densities in the Mongolian forest-steppe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2015Journal Article [["dc.bibliographiccitation.firstpage","2893"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","2905"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Bohner, J."],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2018-11-07T10:03:10Z"],["dc.date.accessioned","2020-05-11T13:23:57Z"],["dc.date.available","2018-11-07T10:03:10Z"],["dc.date.available","2020-05-11T13:23:57Z"],["dc.date.issued","2015"],["dc.description.abstract","Satellite images and digital elevation models provide an excellent database to analyze forest distribution patterns and forest limits in the mountain regions of semiarid central Asia on the regional scale. For the investigation area in the northern Tien Shan, a strong relationship between forest distribution and climate conditions could be found. Additionally areas of potential human impact on forested areas are identified at lower elevations near the edge of the mountains based on an analysis of the differences in climatic preconditions and the present occurrence of forest stands. The distribution of spruce (Picea schrenkiana) forests is hydrologically limited by a minimum annual precipitation of 250 mm and thermally by a minimum monthly mean temperature of 5 degrees C during the growing season. While the actual lower forest limit increases from 1600 m a.s.l. (above sea level) in the northwest to 2600 m a.s.l. in the southeast, the upper forest limit rises in the same direction from 1800 m a.s.l. to 2900 m a.s.l.. In accordance with the main wind directions, the steepest gradient of both forest lines and the greatest local vertical extent of the forest belt of 500 to 600 m to a maximum of 900 m occur at the northern and western mountain fronts. The forests in the investigation area are strongly restricted to north-facing slopes, which is a common feature in semiarid central Asia. Based on the presumption that variations in local climate conditions are a function of topography, the potential forest extent was analyzed with regard to the parameters slope, aspect, solar radiation input and elevation. All four parameters showed a strong relationship to forest distribution, yielding a total potential forest area that is 3.5 times larger than the present forest remains of 502 km(2)."],["dc.identifier.doi","10.5194/bg-12-2893-2015"],["dc.identifier.isi","000356179300006"],["dc.identifier.scopus","2-s2.0-84930216355"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65048"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84930216355&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1726-4170"],["dc.relation.issn","1726-4189"],["dc.title","Modeling forest lines and forest distribution patterns with remote-sensing data in a mountainous region of semiarid central Asia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]Details DOI WOS2000Journal Article [["dc.bibliographiccitation.firstpage","75"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Zeitschrift für Geomorphologie"],["dc.bibliographiccitation.lastpage","102"],["dc.bibliographiccitation.volume","44"],["dc.contributor.author","Lehmkuhl, Frank"],["dc.contributor.author","Klinge, Michael"],["dc.date.accessioned","2018-11-07T09:48:16Z"],["dc.date.available","2018-11-07T09:48:16Z"],["dc.date.issued","2000"],["dc.description.abstract","In the continental areas of Central Asia periglacial features and processes are mainly determined through existence of soil humidity during the freeze-thaw cycles. Hourly measurements of the soil temperatures of different depths at distinct geoecological sites were carried out in two measuring cycles 1995/96 and 1997/98 lasting almost 11 month. The detailed studies focussed on mountain areas of the northern Mongolian Altai (Turgen-Kharkhiraa mountains) in elevations between 1775 and 2760 m a. s.l. The main difference in the intensity of periglacial processes in the basins and mountains areas, respectively, can be seen in the freeze-thaw cycles in spring time, mainly in April. In this time the precipitation in the mountains is still snow fall and moisture can infiltrate into the soils. Due to higher temperature the precipitation (mainly min) in the basins evaporate and rapid drying out of the soils occurs. The main controlling factor for the cryogenic processes in the mountains (especially of solifluction) therefore is the amount of precipitation during spring time. The freeze-thaw cycles during the relatively dry autumn season are subordinated factor for the geomorphological activity. At sites with low radiation, as caused e. g. through shading effects in relief, the freeze-thaw cycles displace towards the summer with more precipitation. Therefore, periglacial processes on low-radiation sites are laced to the strength of the summer precipitation. On the other hand, the frequent freeze-thaw cycles at sites with high radiation drop towards the dry winter season and therefore, the periglacial activity is low at such sites. Accumulation of snow (e. g, in nivation hollows) and/or the occurrence of frozen ground could guarantees sufficient soil humidity apart from the distribution of precipitation during the highest freeze-thaw cycles in the spring and autumn seasons and determines cryogenic processes and periglacial forms (e.g.earth hummocks, patterned grounds). This local influence can be reinforced by effects of radiation, In the Larix forests at northern slopes a cooler local climate with reduced transpiration in the summer allows the preservation of frozen ground and/or permafrost."],["dc.identifier.isi","000087341400004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35269"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Gebruder Borntraeger"],["dc.relation.issn","0372-8854"],["dc.title","Soil temperature measurements from the Mongolian Altai as indicators for periglacial geomorphodynamics in continental mountain areas"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]Details WOS2021Journal Article [["dc.bibliographiccitation.journal","Earth Surface Processes and Landforms"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Schneider, Florian"],["dc.contributor.author","Dulamsuren, Choimaa"],["dc.contributor.author","Arndt, Kim"],["dc.contributor.author","Bayarsaikhan, Uudus"],["dc.contributor.author","Sauer, Daniela"],["dc.date.accessioned","2021-06-01T09:41:48Z"],["dc.date.available","2021-06-01T09:41:48Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1002/esp.5116"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85043"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","1096-9837"],["dc.relation.issn","0197-9337"],["dc.title","Interrelations between relief, vegetation, disturbances, and permafrost in the forest‐steppe of central Mongolia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021-08-10Journal Article Research Paper [["dc.bibliographiccitation.artnumber","55"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Forest Ecosystems"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Klinge, Michael"],["dc.contributor.author","Dulamsuren, Choimaa"],["dc.contributor.author","Schneider, Florian"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Bayarsaikhan, Uudus"],["dc.contributor.author","Sauer, Daniela"],["dc.contributor.author","Hauck, Markus"],["dc.date.accessioned","2021-09-01T06:38:24Z"],["dc.date.accessioned","2022-06-29T13:24:59Z"],["dc.date.accessioned","2022-08-18T12:38:34Z"],["dc.date.available","2021-09-01T06:38:24Z"],["dc.date.available","2022-06-29T13:24:59Z"],["dc.date.available","2022-08-18T12:38:34Z"],["dc.date.issued","2021-08-10"],["dc.date.updated","2022-07-29T12:18:50Z"],["dc.description.abstract","Abstract\r\n \r\n Background\r\n Forest distribution in the forest-steppe of Mongolia depends on relief, permafrost, and climate, and is highly sensitive to climate change and anthropogenic disturbance. Forest fires and logging decreased the forest area in the forest-steppe of Mongolia. The intention of this study was to identify the geoecological parameters that control forest distribution and living-tree biomass in this semi-arid environment. Based on these parameters, we aimed to delineate the area that forest might potentially occupy and to analyse the spatial patterns of actual and potential tree biomass.\r\n \r\n \r\n Methods\r\n We used a combination of various geographic methods in conjunction with statistical analyses to identify the key parameters controlling forest distribution. In several field campaigns, we mapped tree biomass and ecological parameters in a study area within the Tarvagatai Nuruu National Park (central Mongolia). Forest areas, topographic parameters and vegetation indices were obtained from remote sensing data. Significant correlations between forest distribution and living-tree biomass on one hand, and topographic parameters, climate data, and environmental conditions on the other hand, were used to delineate the area of potential forest distribution and to estimate total living-tree biomass for this area.\r\n \r\n \r\n Results\r\n Presence of forest on slopes was controlled by the factors elevation, aspect, slope, mean annual precipitation, and mean growing-season temperature. Combining these factors allowed for estimation of potential forest area but was less suitable for tree-biomass delineation. No significant differences in mean living-tree biomass existed between sites exposed to different local conditions with respect to forest fire, exploitation, and soil properties. Tree biomass was reduced at forest edges (defined as 30 m wide belt), in small fragmented and in large forest stands. Tree biomass in the study area was 20 × 109 g (1,086 km2 forest area), whereas the potential tree biomass would reach up to 65 × 109 g (> 3168 km2).\r\n \r\n \r\n Conclusions\r\n The obtained projection suggests that the potential forest area and tree biomass under the present climatic and geoecological conditions is three times that of the present forest area and biomass. Forest fires, which mostly affected large forest stands in the upper mountains, destroyed 43% of the forest area and 45% of the living-tree biomass in the study area over the period 1986–2017."],["dc.identifier.citation","Forest Ecosystems. 2021 Aug 10;8(1):55"],["dc.identifier.doi","10.1186/s40663-021-00333-9"],["dc.identifier.pii","333"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88925"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/111871"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112963"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.publisher","Springer Singapore"],["dc.relation.eissn","2197-5620"],["dc.rights.holder","The Author(s)"],["dc.subject","Biomass"],["dc.subject","Fire"],["dc.subject","Forest-steppe"],["dc.subject","Geoecological factors"],["dc.subject","Mongolia"],["dc.subject","Permafrost"],["dc.title","Geoecological parameters indicate discrepancies between potential and actual forest area in the forest-steppe of Central Mongolia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI