# Ecosystem Services Assessment for Their Integration in the Analysis of Landslide Risk
## 3 Results  
### Exploratory Data Analysis: Ecosystem Services Maps of Guerrero State  
We observed a certain spatial coherence from the spatial analysis of ecosystem services. Figure 2 shows the maps from the eight ES cartographies downloaded by the ARIES platform ([[https://aries.integratedmodelling.org/](https://aries.integratedmodelling.org/)]([https://aries.integratedmodelling.org/](https://aries.integratedmodelling.org/)), accessed on 15 October 2022).  
From the value of water from the forest ES map (see Figure 2a), we could extract how a higher value occurs in mountainous areas since these have a lot of vegetation, the highest rainfall, and plutonic soils with little porosity. As for the Crop production ES map (Figure 2b), we could see how the values were higher in areas with little slope and soil rich in carbon. Regarding the map of the importance of non-wood forest products ES (see Figure 2c), we observed that it occurs above all in arboreal jungle areas. Regarding the occurrence of pollinator insects ES map (see Figure 2d), we observed how the areas with less value of this ecosystem service were found in agricultural areas and more in the jungle areas with greater vegetation biodiversity. From the map of ES called Retained soil mass caused by vegetation (Figure 2e), we saw how the values were greater in cloud forest areas where the roots retain the soil, and the tree canopy stops the dragging by the rains. In terms of organic carbon mass ES cartography (Figure 2f), we saw how it was higher values in areas with less deforestation. The potential removed soil mass ES map (Figure 2g) showed higher values found in areas with the highest slopes. Finally, regarding the potential value of outdoor recreation (Figure 2h), we could see how in areas with greater accessibility and regions where natural values predominate, it is where it is greater, see, for example, coastal areas and mountain areas.  
The Pearson correlation test values graph (Figure 3) between the different ES maps shows how their interrelationships are relatively low, with almost all values lesser than 0.25. We can find how there is a negative correlation between the value of water from the forest and the value of non-wood forest products. It makes sense because the smaller the fraction of forest, the lesser amount of water it will be able to retain. We also see a positive correlation between organic carbon mass and the potential value of outdoor recreation.  
Figure 3: Correlation graph between pair of ES values in The State of Guerrero in México. The “crop” means crop production, “notimber” is the value of non-wood forest products, “water” means the value of water from the forest, “carbon” is organic carbon mass, “insects” refers to the occurrence of pollinator insects, “removed” is potential removed soil mass, “retained” is retained soil mass caused by vegetation, and “recrea” means potential value of outdoor recreation.  
Figure 2: ES maps from Guerrero State in México: (**a**) crop production; (**b**) value of non-wood forest products; (**c**) value of water from forests; (**d**) occurrence of pollinator insects; (**e**) potential removed soil mass; (**f**) retained soil mass caused by vegetation; (**g**) organic carbon mass; (**h**) potential value of outdoor recreation.