Original research articleHow Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring

- National biodiversity state indicators correspondence with EBVs was assessed.
- EBV approach revealed gaps in the current biodiversity monitoring scheme.
- Monitoring could be improved by using remote sensing applications and EBV approach.
- Four EBVs could benefit substantially from the use of remotely sensed data.
- Three new EBV-candidates were suggested to describe ecosystem function more comprehensively.

Essential Biodiversity Variables (EBVs) have been suggested to harmonize biodiversity monitoring worldwide. Their aim is to provide a small but comprehensive set of monitoring variables that would give a balanced picture of the development of biodiversity and the reaching of international and national biodiversity targets. Globally, GEO BON (Group on Earth Observations Biodiversity Observation Network) has suggested 22 candidate EBVs to be monitored. In this article we regard EBVs as a conceptual tool that may help in making national scale biodiversity monitoring more robust by pointing out where to focus further development resources. We look at one country -Finland -with a relatively advanced biodiversity monitoring scheme and study how well Finland's current biodiversity state indicators correspond with EBVs. In particular, we look at how national biodiversity monitoring could be improved by using available remote sensing (RS) applications. Rapidly emerging new technologies from drones to airborne laser scanning and new satellite sensors providing imagery with very high resolution (VHR) open a whole new world of opportunities for monitoring the state of biodiversity and ecosystems at low cost. In Finland, several RS applications already exist that could be expanded into national indicators. These include the monitoring of shore habitats and water quality parameters, among others. We hope that our analysis and examples help other countries with similar challenges. Along with RS opportunities, our analysis revealed also some needs to develop the EBV framework itself.