Investigating the Influence of Rainfall on Soil Carbon Quantity in a Tropical Peatland

Adeolu, Adesiji Richard; Mohammad, Thamer Ahmed; Daud, Nik Norsyahariati Nik; Mustapha, S.; Sayok, Alexander Kiew; Padfield, Rory; Evers, Stephanie

doi:10.1016/j.proenv.2015.10.008

Cited by 3 publications

(1 citation statement)

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“…These biomes act as large reservoirs for C and play a critical role in the global C cycle (Page et al, 2011;Ribeiro et al, 2021). Changes in peatland WT are documented to govern GHG flux variability, especially in tropical regions where there is ample precipitation (Adeolu et al, 2015;Hergoualc'h et al, 2023;Hirano et al, 2014Hirano et al, , 2015Holden et al, 2004;Kwon et al, 2013;Rosenberry et al, 2006;Strack et al, 2005;Taufik et al, 2022Taufik et al, , 2023. Carbon dioxide (CO 2 ) fluxes are recorded to be greater when WT is lowered, while methane (CH 4 ) fluxes increase at persistently high WT (Hoyos-Santillan et al, 2019;Wong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Tropical Peatland Water Table Estimations From Space

Koupaei‐Abyazani,

Burdun,

Desai

et al. 2024

JGR Biogeosciences

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Tropical peatlands store copious amounts of carbon (C) and play a critical role in the global C cycle. However, this C store is vulnerable to natural and anthropogenic disturbances, leading these ecosystems to become weaker C sinks or even net C sources. Variabilities in water table (WT) greatly influence the magnitude of greenhouse gas flux in these biomes. Despite its importance in C cycling, observations of the spatiotemporal dynamics of tropical peatland WT are limited in spatial extent and length. Here, we use in situ WT measurements from tropical peatlands in Indonesia, Malaysia, and Peru to evaluate the satellite‐based Optical Trapezoid Model (OPTRAM). The model uses the pixel distribution in the shortwave infrared transformed reflectance and normalized difference vegetation index (NDVI) space to calculate indices that are then compared against in situ WT data. 30‐m resolution Landsat 7 and Landsat 8 images were utilized for model parameterization. We found OPTRAM to best capture tropical peatland WT dynamics in minimally forested and non‐forested areas (low to intermediate NDVI) (0.7 < R < 1) using the “best pixel” approach (the pixel with the highest Pearson‐R correlation value). In areas with relatively higher NDVI, OPTRAM index did not correlate with WT (average R of −0.04 to 0.24), likely due to trees being less sensitive to WT fluctuations. OPTRAM shows potential for reliably estimating tropical peatland WT without the need for direct measurements, which is challenging due to site remoteness and harsh conditions.

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