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Knowledge4Policy
Knowledge for policy
Supporting policy with scientific evidence

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  • Page | Last updated: 16 Feb 2026
EUSO Soil Health Dashboard

The EUSO Soil Health Dashboard provides an assessment of the state of soil health in the EU. This assessment is expressed through key indicators which will be updated regularly according the availability of new data.

 

 

 

This section individually presents the indicators used in the convergence of evidence map. Indicators can be selected using the drop-down menu. For the soil erosion indicators, four different thresholds can be selected.

 

Selecting an indicator generates: (1) a short description of the indicator, (2) a map on which the threshold is applied, (3) a circle graph with the proportion of unhealthy soils, and (4) a bar graph with the proportion of unhealthy soils per land cover class.

 

 
 
 
 

 

This correlation matrix shows the strength and direction of the relationship between two soil degradation indicators. Dark red represents a strong positive correlation, which means that if one variable increases also the other increases and vice-versa. Dark blue represents a strong negative correlation, which means that if one variable increases the other decreases and vice-versa. Lighter colours represents a weak or non-existent correlation. Note that further analyses are needed to confirm possible causal relationships. The correlation matrix was calculated based on the raster values of the soil degradation indicators.

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This section compares the percentages of degraded soils in the Member States. The colour code in the graph represents the comparison between the Members States for each individual soil degradation indictor. Best performers are in dark blue, Member States doing worse are in dark orange. Selecting a Member State in the drop-down menu will show the percentages of degraded soils for each of the indicators. These values can be downloaded from the menu at the top right of the plot. Please note that each dataset represented in this graph is subject to a degree of uncertainty (e.g. scale, resolution, method of assessment, date) and underlying assumptions (e.g. the thresholds applied to defined the degraded state), that need to be taken into account when reading this graph.