The new TOC-loss-ometer!

This week, Sarah Cook, a member of the UK TPWG and PhD student at the University of Leicester, published an exciting paper documenting a new, low cost and easy-to-use methodology for measuring DOC losses from tropical peatlands.  Here she describes this important work.

My research is focused on investigating fluvial organic carbon (TOC) losses from tropical peatland oil palm plantations, within Southeast Asia. However, when I first started developing my research methodology I found limited guidance for analysing tropical TOC water samples. Tropical work is often undertaken in remote field sites with limited on-site laboratory facilities (if any), with any flat stable surface (i.e. the dinner table, car boot and concrete floors) quickly becoming a state of the art workbench. In addition, temperature also plays a significant role, with the hot sticky heat quickly degrading anything remotely organic. In my case this could mean the breakdown, and loss, of significant proportions of organic carbon from my water samples. This also meant the need to ship large, heavy and expensive boxes of samples back to the UK for analysis on specialised analytical equipment.


Collection of fluvial organic carbon from an oil palm plantation drainage channel.

This prompted us to develop better guidance for tropical researchers for TOC analysis, and lead to the publication of a water storage paper ( in 2016 and a recent paper in Water Research (February, 2017; In this most recent paper we investigated the suitability of UV-visible spectrometry to determine dissolved organic carbon (DOC) concentrations in tropical water samples, building on an original methodology developed by (Carter et al.2012; on temperate peat. Overall UV-visible spectroscopy (using both a single and two-wavelength approach) was able to accurately predict tropical DOC concentrations. This offers research groups working in remote field locations the ability to rapidly analyse water samples post-collection, negating the need to store degradable samples for lengthy periods of time, helping improve spatial and temporal DOC measurements. In addition, the equipment required for this analysis can be set up at a field base, valuable for researchers in remote locations with limited access to specialised (and often expensive) analytical equipment. This in turn can help reduce the number of samples that need to be shipped back, further helping to reduce research costs. Full details of both papers can be found at:


Graphical abstract from the Water Research paper, showing an example of a plantation drainage channel and predictive ability of the UV model.


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