Colloquium

Assessing and understanding biomass change related to deforestation and forest degradation; A case study in Kenya

Organised by Laboratory of Geo-information Science and Remote Sensing
Date

Fri 20 April 2018 09:00 to 09:30

Venue Gaia, gebouwnummer 101
Droevendaalsesteeg 3
101
6708 PB Wageningen
0317 – 48 17 00
Room 1

By Nadine Drigo (Italy)

Abstract
Forests play an important role in the global carbon cycle as carbon sinks of terrestrial ecosystem. Human activities such as deforestation and forest degradation have a considerable impact on the ability of forests to sequester and store carbon. Pressure to convert and degrade forests continues to be high in developing countries such as Kenya, resulting in substantial emissions of carbon dioxide (CO2). This research focuses on distinguishing emissions due to deforestation from the forest degradation in Kenya over the period 2003-2014, and to better understand the deforestation drivers. The main outcome of this study is that degradation is responsible for the 60% (-15.1 Mt) of the total change on biomass carbon with a rate of -2% of stock loss per year, while the main deforestation driver is pasture. The dominant role of degradation as source of carbon emissions sets important new light on land cover dynamics in Kenya and indicates the need for further research on the human activities leading to degradation to define specific and effective lines of interventions.
Possible solutions involve national policies such as improving sustainability practices and management of close and open forests, promotion of less forest dependent cattle breed at a national level and improving forage quality. At a global scale, the production of higher resolution carbon change maps would improve the quality of the analysis. Mapping carbon change represents a new and promising approach for the estimation of forest degradation. Advancing in this line of research, the production of higher resolution carbon change maps would allow to better monitor degradation and to undertake more consistent and detailed analyses.