In this paper, we assess the use and quality of forest monitoring data sources for national reporting to the FRA in 236 countries and territories. More specifically, we analyze the use of remote sensing and for forest monitoring in FRA 2005–2020, assess data quality in FRA 2020 using FAO tier-based indicators, and zoom in to investigate changes in tropical forest monitoring capacities in FRA 2010–2020.
Disturbed African tropical forests and woodlands have the potential to contribute to climate change mitigation. Therefore, there is a need to understand how carbon stocks of disturbed and recovering tropical forests are determined by environmental conditions and human use. In this case study, we explore how gradients in environmental conditions and human use determine aboveground biomass in national forest inventory plots located in forests and woodlands in mainland Tanzania.
Countries with limited forest monitoring capabilities in the tropics and subtropics rely on IPCC 2006 default aboveground net biomass change (∆AGB) rates. As part of the 2019 Refinement to these guidelines, we provide a rigorous and traceable updates of the IPCC 2006 default rates in tropical and subtropical ecological zones. This study is an important step towards quantifying the role of tropical and subtropical forests as carbon sinks with higher accuracy and our new rates can be used for large‐scale GHG accounting by governmental bodies, nongovernmental organizations and in scientific research.