Dynamics of structure and biological productivity of post-fire larch forests in the Northern Mongolia

Данилин, И. М.; Tsogt, Z.

doi:10.1134/s1995425514020036

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…This change induced the loss of permafrost in these areas. The surviving larch trees in the remaining forest remnants increase their fructification (Danilin and Tsogt, 2014). Their important role as nuclei for forest regeneration is demonstrated by numerous seedlings and saplings growing in the direct surrounding of the forest remnants, in the shade of the old trees.…”

Section: Discussionmentioning

confidence: 99%

“…Weak correlation between needle volume and tree biomass caused another problem, as the leaves and needles provide the vitality signal to be measured in multispectral satellite images. Danilin and Tsogt (2014) stated that needle biomass is independent of the average age of a larch stand, whereas tree biomass increases with average tree age. The weak correlation between leaf area index (LAI) and tree biomass measured on 24 plots confirmed this statement ( Figure 6).…”

Section: Remote-sensing Analyses Based On Tree Biomass Estimatesmentioning

confidence: 99%

“…Investigations on tree biomass in the Mongolian forest-steppe have been carried out in the Altai Mountains, southern Khangai Mountains (Dulamsuren et al, 2016), northern Khangai Mountains (Dulamsuren et al, 2019), and Khentei Mountains (Danilin and Tsogt, 2014). Tree biomass reported from these studies ranged between 123 and 397 Mg ha -1 .…”

Section: Introductionmentioning

confidence: 99%

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Modelled potential forest area in the forest-steppe of central Mongolia is about three times of actual forest area

Klinge

Dulamsuren

Schneider

et al. 2020

Preprint

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Abstract. The Mongolian forest-steppe is highly sensitive to climate change and environmental impact. The intention of this study was to identify, which geoecological parameters control forest distribution and tree growth in this semi-arid environment, and to evaluate the actual and potential tree biomass. For this purpose, we applied a combination of tree biomass and soil mapping, remote sensing and climate data analysis to a study area in the northern Khangai Mountains, central Mongolia. Forests of different landscape units and site conditions generally showed minor differences in tree biomass. We found no significant correlation between tree biomass and NDVI (normalized differentiated vegetation index). Tree biomass was reduced at forest edges, in small fragmented forest stands of the steppe-dominated area, and in large forest stands, compared to all other forest units. The tree biomass of forests on slopes ranged between 25 and 380 Mg ha−1. The mean tree biomass in forests of 10–500 ha was 199–220 Mg ha−1, whereby tree biomass at the forest edges was 50–63 Mg ha−1 less than in the interior parts of the forests. The mean tree biomass of forests > 500 ha was 182 Mg ha−1, whereas that of forests

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Section: Discussionmentioning

confidence: 99%

Section: Remote-sensing Analyses Based On Tree Biomass Estimatesmentioning

confidence: 99%

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Modelled potential forest area in the forest-steppe of central Mongolia is about three times of actual forest area

Klinge

Dulamsuren

Schneider

et al. 2020

Preprint

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show abstract

“…Another problem was the weak correlation between needle volume and tree biomass, as leaves and needles provide the chlorophyll signal in multispectral satellite images. Danilin and Tsogt (2014) stated that needle biomass is independent of the average age of a larch stand, whereas tree biomass increases with tree age. The absence of a significant correlation between leaf area index (LAI) and tree biomass measured on 24 plots confirmed this statement (Fig.…”

Section: Remote-sensing Analysis Based On Tree-biomass Estimatesmentioning

confidence: 99%

“…Typically, carbon stocks in the total tree biomass of boreal forests amount to 40-80 Mg C•ha − 1 (Jarvis et al 2001;Luyssaert et al 2007;Thurner et al 2014). Investigations on tree biomass in the Mongolian foreststeppe have been carried out in the Altai Mountains, southern Khangai Mountains (Dulamsuren et al 2016), northern Khangai Mountains (Dulamsuren et al 2019, and Khentei Mountains (Danilin 1995;Danilin and Tsogt 2014). Obtained tree biomass values were in the range of 123-397 Mg•ha − 1 and thus (due to Mongolia's position in the southernmost boreal zone) in and beyond the higher range typical for boreal forests Altogether, these studies point to a decrease of average tree biomass from the more humid north to the drier south of the Mongolian forest-steppe.…”

Section: Introductionmentioning

confidence: 99%

Geoecological parameters indicate discrepancies between potential and actual forest area in the forest-steppe of Central Mongolia

et al. 2021

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Background 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. Methods 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. Results 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). Conclusions 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.

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Do wildfires impact community structure and diversity of beetles (Coleoptera) in northern Mongolian forests?: An investigation in Khentey Mountains

Pfeiffer,

Sukhbaatar,

Poloczek

et al. 2024

Journal of Asia-Pacific Biodiversity

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Dynamics of structure and biological productivity of post-fire larch forests in the Northern Mongolia

Cited by 7 publications

References 3 publications

Modelled potential forest area in the forest-steppe of central Mongolia is about three times of actual forest area

Modelled potential forest area in the forest-steppe of central Mongolia is about three times of actual forest area

Geoecological parameters indicate discrepancies between potential and actual forest area in the forest-steppe of Central Mongolia

Do wildfires impact community structure and diversity of beetles (Coleoptera) in northern Mongolian forests?: An investigation in Khentey Mountains

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