Data from: How temporal patterns in rainfall determine the geomorphology and carbon fluxes of tropical peatlands
Cobb, Alexander R., Singapore-MIT Alliance for Research and Technology
Hoyt, Alison M., Massachusetts Institute of Technology
Gandois, Laure, National Polytechnic Institute of Toulouse
Eri, Jangarun, Ministry of Industry and Primary Resources
Dommain, René, National Museum of Natural History
Abu Salim, Kamariah, Universiti Brunei Darussalam
Kai, Fuu Ming, Singapore-MIT Alliance for Research and Technology
Haji Su'ut, Nur Salihah, Ministry of Industry and Primary Resources
Harvey, Charles F., Singapore-MIT Alliance for Research and Technology
Published May 23, 2018 on Dryad.
Cite this dataset
Cobb, Alexander R. et al. (2018). Data from: How temporal patterns in rainfall determine the geomorphology and carbon fluxes of tropical peatlands [Dataset]. Dryad. https://doi.org/10.5061/dryad.18q5n
Tropical peatlands now emit hundreds of megatons of carbon dioxide per year because of human disruption of the feedbacks that link peat accumulation and groundwater hydrology. However, no quantitative theory has existed for how patterns of carbon storage and release accompanying growth and subsidence of tropical peatlands are affected by climate and disturbance. Using comprehensive data from a pristine peatland in Brunei Darussalam, we show how rainfall and groundwater flow determine a shape parameter (the Laplacian of the peat surface elevation) that specifies, under a given rainfall regime, the ultimate, stable morphology, and hence carbon storage, of a tropical peatland within a network of rivers or canals. We find that peatlands reach their ultimate shape first at the edges of peat domes where they are bounded by rivers, so that the rate of carbon uptake accompanying their growth is proportional to the area of the still-growing dome interior. We use this model to study how tropical peatland carbon storage and fluxes are controlled by changes in climate, sea level, and drainage networks. We find that fluctuations in net precipitation on timescales from hours to years can reduce long-term peat accumulation. Our mathematical and numerical models can be used to predict long-term effects of changes in temporal rainfall patterns and drainage networks on tropical peatland geomorphology and carbon storage.
Soil surface CO2 flux data
Comma-separated text table containing daily averages of barometrically corrected water table height and soil surface CO2 flux, as described in the "Soil respiration" section of the SI Methods. These data appear in Figure 4b of the paper.
Radiocarbon dates from peat samples
Comma-separated text table containing calibrated radiocarbon dates from peat samples, shown in Figure 7 of the paper. Of the data in the table, 22 the dates from 7 cores first appeared in Gandois et al. (2014), and 7 dates from 1 core first appeared in Dommain et al. (2015), in addition to the 6 dates from 1 core first appearing here, as noted in the "Source" column of the table.
README for data files
Text file explaining data package files and their fields. Also provides acknowledgements and contact information.