Item talk:Q234333
From geokb
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"name": "Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR",
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"abstract": "Peatlands are a major reservoir of global soil carbon, yet account for just 3% of global land cover. Human impacts like draining can hinder the ability of peatlands to sequester carbon and expose their soils to fire under dry conditions. Estimating soil carbon loss from peat fires can be challenging due to uncertainty about pre-fire surface elevations. This study uses multi-temporal LiDAR to obtain pre- and post-fire elevations and estimate soil carbon loss caused by the 2011 Lateral West fire in the Great Dismal Swamp National Wildlife Refuge, VA, USA. We also determine how LiDAR elevation error affects uncertainty in our carbon loss estimate by randomly perturbing the LiDAR point elevations and recalculating elevation change and carbon loss, iterating this process 1000 times. We calculated a total loss using LiDAR of 1.10\u00a0Tg\u00a0C across the 25\u00a0km2\u00a0burned area. The fire burned an average of 47\u00a0cm deep, equivalent to 44\u00a0kg\u00a0C/m2, a value larger than the 1997 Indonesian peat fires (29\u00a0kg\u00a0C/m2). Carbon loss via the First-Order Fire Effects Model (FOFEM) was estimated to be 0.06\u00a0Tg\u00a0C. Propagating the LiDAR elevation error to the carbon loss estimates, we calculated a standard deviation of 0.00009\u00a0Tg\u00a0C, equivalent to 0.008% of total carbon loss. We conclude that LiDAR elevation error is not a significant contributor to uncertainty in soil carbon loss under severe fire conditions with substantial peat consumption. However, uncertainties may be more substantial when soil elevation loss is of a similar or smaller magnitude than the reported LiDAR error.",
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