Direct Measurement of Forest Degradation Rates in Malawi: Toward a National Forest Monitoring System to Support REDD

Spatial time-series measurements of forest degradation rates are important for estimating national greenhouse gas emissions but have been challenging for open forests and woodlands. This lack of quantitative data on forest degradation rates, location and biomass is an important constraint to developing national REDD+ policy. In Malawi, and in most countries in Africa, most assessments of forest cover change for carbon emissions monitoring tend to report only deforestation in the public forest estate managed by the government, even when important forest degradation also occurs in agricultural areas, such as customary forests and other tree-based systems. This study has resulted in: (a) a new robust forest map for Malawi, (b) spatial and quantitative measurements of both forest degradation and deforestation, and (c) a demonstration of the approach through the introduction of a tool that maps across the broad landscape of forests and trees outside of forests. The results can be used to support REDD+ National Forest Monitoring Systems. This analysis produces new estimates of landscape-wide deforestation rates between 2000-2009 (22,410 ha yr(-1)) and 2009-2015 (38,937 ha yr(-1)). We further produce new estimates of the rate of forest degradation between 2000-2009 (42,961 ha yr(-1)) and 2009-2015 (71,878 ha yr(-1)). The contribution of these new tools and estimates to capacities for calculating carbon emissions are important, increasing prospects for full REDD+ readiness across semi-arid Africa.

Automated summary

Spatial time-series measurements of forest degradation rates are crucial for estimating national greenhouse gas emissions, but have been difficult to obtain for open forests and woodlands. This study in Malawi has produced a new forest map, as well as measurements of forest degradation and deforestation, contributing to the development of tools for calculating carbon emissions and increasing readiness for REDD+ in semi-arid Africa.