Abstract
Abstract. The UN-REDD Mongolia National Programme has studied about forest carbon emissions, and enhance and sustainably manage its carbon stocks, through the implementation of REDD+ activities since 2011. However, the current assessments seem to remain uncertain, the study for estimating carbon storage based on field survey are still rare. Because the Haloxylon ammodendron, where Gobi desert ecosystems are covering large areas, it is necessary to develop a modelling approach applying remote sensing. The study area is locating in Gobi-Altai province, Trans-Altai area as the south-western part of Mongolia. A total of 32 plots were established on eighth different land cover types to represent the range of variability. The study was used high spatial resolution imagery of Pleiades-1 and both of active and passive data from Sentinel-1 and Sentinel-2. The growing height in 32 plots is ranging from 20 to 460 cm with between 0.002 and 544.9 cm2 for basal area and between 526.5 and 166106.0 cm2 for canopy area, respectively. Shrub density is very high in plot 4 (n=135) and plot 5 (n=117) with low above-ground biomass 12 kg and 10.9 kg. The backscatter (dB) values of vegetated area and non-vegetated were comparable, −27.86 and −17.36 in VH polarisation and −22.72 and −10.61 in VV polarisation, respectively. Model-M1 was best demonstrated when a combination of vegetation coverage area was used as Pleiades-1 and Sentinel-2 derived vegetation cover data. For model-M9, the results were comparable to model-M1 but with lower the coefficient of determination. In this work, NDVI and MSAVI appear as a good indicator of biomass mainly because it does not saturate in sparse shrubs and is more sensitive to canopy parameters.
Highlights
The Gobi desert ecosystem is covering about 38 percent of total land area in Southern Mongolia is the continuous part of temperate deserts, which is rich by species of the flora and fauna important for Central Asian desert ecosystem
From the comparison and simple analysis of field measured canopy and basal area with estimated above-ground biomass using allometric equation (Buras et al, (2012) for 1383 shrubs in 32 plots, we found that the field estimated above-ground biomass had the highest R2 (0.85) with canopy area and R2 (0.76), showed the good correlation (Fig. 3)
Information on vegetation structure and on biomass and carbon stock at a regional level is relevant for climate change research
Summary
The Gobi desert ecosystem is covering about 38 percent of total land area in Southern Mongolia is the continuous part of temperate deserts, which is rich by species of the flora and fauna important for Central Asian desert ecosystem. An area within the desert approximately 1650 km wide and 360 km in diameter from north to south, the area is 4.5 million ha under closed cover is about 2 million ha (Yamamura et al, 2013): they represent the largest carbon stock in the Southern Mongolia and Central Asia. Most of Haloxylon ammodendron biomass as carbon stock in winter-cold deserts zones of central Asia have been extensively studied, in Kazakhstan, Uzbekistan, Turkmenistan, Northern China (Buras et al, 2012; Thevs et al, 2013; Li et al, 2015; Chen, Y., et al (2016); Eisfelder et al, 2017 and Zhagloskaya et al, 2017) and Southern Mongolia have been studied in some detail by Zhang et al, 2016. The current assessments seem to remain uncertain, the study for
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