GapFire

Dataset

Abstract

GapFire is a model developed as part of a pilot REDD+ project in conjunction with the Mpingo Conservation & Development Initiative. It has been designed to predict changes in above ground biomass of miombo woodlands in response to observations of early and late fire frequency. The model is an intrinsic part of an established VCS methodology for C storage: VM0029 "Methodology for Avoided Forest Degradation through Fire Management”.

Data Citation

Williams, Mathew; Bowers, Sam; Ryan, Casey. (2020). GapFire, [dataset]. University of Edinburgh. School of GeoSciences. Institute of Geography. https://doi.org/10.7488/ds/2795.
Date made available1 Apr 2020
PublisherEdinburgh DataShare

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