Figure 2: Priority rank maps of tropical Africa based on quantile regression C maps. | Nature Communications

Figure 2: Priority rank maps of tropical Africa based on quantile regression C maps.

From: Spatial optimization of carbon-stocking projects across Africa integrating stocking potential with co-benefits and feasibility

Figure 2

Priority rank maps based on Zonation analyses, showing the areas that would be most suitable for carbon sequestration projects while also benefitting biodiversity, groundwater recharge, land value and governance. Maps (a–e) represent different analyses, where the weighting of C-stocking potential was altered between 3 (a), 6 (b), 12 (c), 24 (d) and 48 (e), while the weight of all other features was kept constant at 12. Map (f) represents the carbon only map, which was generated using C-stocking potential alone and did not consider any other benefits or costs; it is thus a ranking of sites in terms of the C-stocking potential. Yellow areas indicate the 5% highest-ranked planning units and are thus deemed high priority, whereas red areas indicate the lowest-ranked planning units and are deemed low priority. Carbon-stocking potential was calculated from the Saatchi map using 90% quantile regressions. The ABF cell removal rule was used in Zonation analyses.

Back to article page