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Titel |
Imaging tropical peatlands in Indonesia using ground-penetrating radar (GPR) and electrical resistivity imaging (ERI): implications for carbon stock estimates and peat soil characterization |
VerfasserIn |
X. Comas, N. Terry, L. Slater, M. Warren, R. Kolka, A. Kristiyono, N. Sudiana, D. Nurjaman, T. Darusman |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 12, no. 10 ; Nr. 12, no. 10 (2015-05-21), S.2995-3007 |
Datensatznummer |
250117943
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Publikation (Nr.) |
copernicus.org/bg-12-2995-2015.pdf |
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Zusammenfassung |
Current estimates of carbon (C) storage in peatland systems worldwide
indicate that tropical peatlands comprise about 15% of the global peat carbon
pool. Such estimates are uncertain due to data gaps regarding organic peat
soil thickness, volume and C content. We combined a set of indirect
geophysical methods (ground-penetrating radar, GPR, and electrical
resistivity imaging, ERI) with direct observations using core sampling and C
analysis to determine how geophysical imaging may enhance traditional coring
methods for estimating peat thickness and C storage in a tropical peatland
system in West Kalimantan, Indonesia. Both GPR and ERI methods demonstrated
their capability to estimate peat thickness in tropical peat soils at a spatial
resolution not feasible with traditional coring methods. GPR is able to
capture peat thickness variability at centimeter-scale vertical resolution,
although peat thickness determination was difficult for peat columns
exceeding 5 m in the areas studied, due to signal attenuation associated
with thick clay-rich transitional horizons at the peat–mineral soil
interface. ERI methods were more successful for imaging deeper peatlands
with thick organomineral layers between peat and underlying mineral soil.
Results obtained using GPR methods indicate less than 3% variation in
peat thickness (when compared to coring methods) over low peat–mineral soil
interface gradients (i.e., below 0.02°) and show substantial impacts in
C storage estimates (i.e., up to 37 MgC ha−1 even for transects showing a
difference between GPR and coring estimates of 0.07 m in average peat
thickness). The geophysical data also provide information on peat matrix
attributes such as thickness of organomineral horizons between peat and
underlying substrate, the presence of buried wood, buttressed trees or
tip-up pools and soil type. The use of GPR and ERI methods to image peat
profiles at high resolution can be used to further constrain quantification
of peat C pools and inform responsible peatland management in Indonesia and
elsewhere in the tropics. |
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