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surface of each land-cover type was multiplied by the corresponding standardized
value, and then the contributions of the different land cover types were summed.
Finally, the result was divided by the total surface of the sample area to obtain an
overall score ranging from 0 to 10, which measures the supply of each ES in each
sample area.
Figure 6.2 shows the results of the supply analysis. Overall, Sample area 3
shows the highest supply score for three of the four analysed ES, namely: air pollution removal, cooling, and noise reduction. For carbon storage, the best performance is represented by Sample area 1. Noteworthy is that Sample area 3 performs
better despite the lower amount of green areas compared to Sample area 1.
Furthermore, the performance of each sample area varies depending on the ES that
is being considered. This shows the importance of the typology of green areas in
determining the supply of ES, and the potential bias that aggregated indicators
(such as per- capita green area) can introduce in the representation of the equitable
distribution of ES.
Fig. 6.2 Assessment of the supply of the four selected ES in the four sample areas
6 Towards Equity in the Distribution of Ecosystem Services in Cities
surface of each land-cover type was multiplied by the corresponding standardized
value, and then the contributions of the different land cover types were summed.
Finally, the result was divided by the total surface of the sample area to obtain an
overall score ranging from 0 to 10, which measures the supply of each ES in each
sample area.
Figure 6.2 shows the results of the supply analysis. Overall, Sample area 3
shows the highest supply score for three of the four analysed ES, namely: air pollution removal, cooling, and noise reduction. For carbon storage, the best performance is represented by Sample area 1. Noteworthy is that Sample area 3 performs
better despite the lower amount of green areas compared to Sample area 1.
Furthermore, the performance of each sample area varies depending on the ES that
is being considered. This shows the importance of the typology of green areas in
determining the supply of ES, and the potential bias that aggregated indicators
(such as per- capita green area) can introduce in the representation of the equitable
distribution of ES.
Fig. 6.2 Assessment of the supply of the four selected ES in the four sample areas
6 Towards Equity in the Distribution of Ecosystem Services in Cities