Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR

Remote Sensing of Environment
By: , and 

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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 Tg C across the 25 km2 burned area. The fire burned an average of 47 cm deep, equivalent to 44 kg C/m2, a value larger than the 1997 Indonesian peat fires (29 kg C/m2). Carbon loss via the First-Order Fire Effects Model (FOFEM) was estimated to be 0.06 Tg C. Propagating the LiDAR elevation error to the carbon loss estimates, we calculated a standard deviation of 0.00009 Tg C, 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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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR
Series title Remote Sensing of Environment
DOI 10.1016/j.rse.2015.09.017
Volume 170
Year Published 2015
Language English
Publisher Elsevier
Contributing office(s) Geosciences and Environmental Change Science Center
Description 11 p.
First page 306
Last page 316
Country United States
State Virginia
Other Geospatial Great Dismal Swamp National Wildlife Refuge
Online Only (Y/N) N
Additional Online Files (Y/N) N