This team will examine the key drivers of change in Kenya’s land-sector. They will look at the factors that typically lead to changes from one use to another. For example, this team will look at the factors which lead to conversion of forests to agriculture, such as building new roads or the expansions of new forests communities.
This understanding will allow the team to understand how policy decisions will affect Kenya’s land-sector. This will provide policy-makers and communities with a far more detailed assessment of the implications of land-policy decisions.
This team is compiling comprehensive climate data covering Kenya and scenarios showing how this could change.
This team is building models that will track carbon as crops and plants grow.
This team is assessing the level of carbon stored in Kenya’s soils and using models to track this change over time.
This team is developing models to track how carbon is stored and released by trees as they grow.
This team is responsible for understanding the drivers of change in Kenya’s land sector, which will help explain change in the future.
The modelling team is working to combine the information and data collected through SLEEK to produce a unified, accurate report of Kenya’s emissions form the land-sector.
This team is responsible for using remote sensing imagery to develop maps that will show the changes in land-cover over time.