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These regression relationships were used with peat depth mapping, to model carbon distribution and quantity.
Using the spatial prediction functions, peat depth maps along with their 90% confidence interval were generated.
Groundwater exfiltration points were spatially mapped and related to peat depth.
Peat depth is modelled as a function of topography and spatial position.
The study site, with a maximum peat depth of 4 m, is characteristic of this broad class of fen system that dominates Canada's Boreal Plains.
This paper proposed a cost-effective and accurate methodology for mapping peat depth and carbon stocks in Indonesia.
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The average peat depths by different wetland types (Table 2) were applied to convert the organic carbon density (Table 3) to the cumulative carbon mass for each wetland type (Table 4).
Compared to national peat maps, the average peat depths used by Page et al. [2] and Jaenicke et al. [13] seem overestimated, as the average depth weighted to the upper bounds of each depth interval is about 3.1 m according to WI maps.
In order to quantify carbon stock for peatland management and conservation, the knowledge of the spatial distribution of peat and its depth is essential.
Tropical peatlands hold large amounts of carbon but the influence of litter inputs and variation in peat properties with depth on carbon storage are poorly understood.
In Asia the paddy is cultivated in three main types of soil, including clays with a firm bottom within a few inches of the surface; silts and soft clays with soft bottoms becoming hard on drying; and peats and "mucks" containing peat, provided the depth of the peat is not excessive.
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