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Filling a critical gap in Indonesia’s national carbon monitoring, reporting, and verification capabilities for supporting REDD+ activities: Incorporating, quantifying and locating fire emissions from within tropical peat-swamp forests (Year 1)

Mark A. Cochrane, South Dakota State University/GIScCE, mark.cochrane@sdstate.edu (Presenter)
Bambang H. Saharjo, Bogor Agricultural University, bhherosaharjo@gmail.com
Robert Yokelson, University of Montana, bob.yokelson@mso.umt.edu
Grahame Barry Applegate, Consultant, grahame.applegate@gmail.com
Andrew P. Vayda, Consultant, apvayda@gmail.com
Sulistyo Siran, Consultant, sulistyo.siran@yahoo.com
TImothy C. Jessup, Consultant, tcjessup@gmail.com
Kevin Christopher Ryan, Consultant, kryan.wildland.fire@gmail.com

In Indonesia, drained peat-swamp forests, with deep organic soils that store vast amounts of carbon, are now being lost to decomposition and combustion. Episodic uncontrolled fires within these areas have contributed to the country ranking as the 3rd largest CO2 emitter in recent decades. We are developing a prototype peat-fire emissions module for the Indonesian Carbon Accounting System (INCAS) to incorporate into the nation’s Measuring, Reporting and Verification (MRV) efforts. The project leverages off of historical field data collection from the former Kalimantan Forest and Climate Partnership (KFCP) between the Australian and Indonesian governments, continuing and augmenting extensive collection efforts for hydrology, fuels, land uses and fire occurrence in the 120,000ha study area. We utilize Landsat, MODIS and TRMM data and products to quantify land cover changes, burned area, estimate the timing of fire activity, and relate precipitation history to observed water table changes that impact peat-fire activity. Ongoing Lidar data collection efforts (2014) will be integrated with existing aerial KFCP Lidar (2007 & 2010) to provide quantified temporal topographic change maps to validate modeled amounts of fire-related peat consumption. Modeling this phenomenon requires defining 1) the annual surface area burned, 2) the available fuel fraction (burnable) at each location through time, and 3) the amount of fuel consumed per unit area. We will provide Monte Carlo estimates of type, depth, and area of burning, with emissions quantitatively weighted by appropriate emission factors (EFs) derived for surface, shallow and deep peat smoke amounts, validated using the 2014 Lidar data collection. In 2015, we will conduct detailed emissions field sampling of in-situ smoldering surface, shallow (<20 cm) and deep (>20 cm) peat fires, with on-site gas chromatography for quantifying reactive species, whole air sampling for precise lab measurements of non-reactive gases, and simultaneous filter sampling of particulates.

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