|< 0,01||0,13 – 0,16|
|0,01 – 0,04||0,16 – 0,19|
|0,04 – 0,07||> 0,19|
|0,07 – 0,1||nezemědělské oblasti|
|0,1 – 0,13|
The map layer shows the C factor values – the influence of vegetation on the surface runoff. The value is derived on the basis of regression between C factor values and vegetation indices, compiled once a month within the last growing season. The maps show the current values reflecting the quantity and conditions of the present aboveground biomass and therefore they correspond with the values of the layer “Carbon storage supply” [link to the layer]. The prediction is based on the distribution of these values after incorporating the predicted land cover [link to the layer] using a climate model.
The map layer shows the C factor values - the influence of vegetation on the surface runoff. The map shows the current values reflecting the quantity and condition of the present aboveground biomass on the farmland. The values of C factor have a range from 0 to 1. The values close to 0 represent points where the vegetation has a low impact on reducing the surface runoff, ie. vegetation contributes little to reduce water erosion in the area. Low values reflect the vegetation with low canopy, a small amount of biomass or crops grown in wide rows. The highest values of C factor have crops with dense or permanent canopy, they reduce the intensity of runoff (create micro barrier, reduce speed and power of runoff, and thus prevent negative effects of water erosion.
The value is derived on the basis of regression between C factor values and vegetation indices, compiled in monthly step within the growing season 2015. The maps of C factor in the future represent a synthesis of the current values (growing season 2015) of the C factor relative to the farmed land predicted by the model of development land cover with individual climate models. The maps that reflected the development of the area and changes in spatial distribution of the existing crops and its value of the C factor, without incorporating any changes to agricultural crops in the area.