| DASS Database of Successional Seres | EDaSS European Database of Successional Seres | DASP Database of seeded plots |
EDaSS - European Database of Successional Series
The study of succession—the sequential replacement of species following disturbance—offers valuable insights for addressing contemporary challenges such as biodiversity loss, climate change, biological invasions, and ecological restoration. While individual case studies can directly inform local restoration projects, systematic comparisons across habitats and broader spatial and temporal scales allow for extrapolation of results, the development of general principles, and stronger guidance for restoration practice.
You are kindly invited to contribute your successional data to the European Database of Successional Series (EDaSS). Our aim is to compile existing data on vegetation change following disturbance, including mining, agricultural abandonment, forest clearing, fire, landslides, dunes, exposed substrates, and glacial retreat. Syntheses across multiple scales and meta-analyses will enable us to identify general successional patterns and to evaluate restoration success more robustly.
The Restoration Ecology Group has already assembled a unique dataset covering a wide range of human-disturbed sites across Europe and across major biomes. We are now expanding this database and would be very pleased to collaborate with colleagues willing to share data and contribute to this joint effort.
Disturbance types:
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Mining activities |
Abandoned fields |
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Post-fire succession |
Clear cutting |
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Road verges |
Landslides |
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Glacier retreat |
Dunes |
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Emerged lake-bottoms |
Others are welcome |
Requirements to include the data:
Vegetation cover data (species) composing successional series of at least 20-30 years, recording development not later than 5 years after the disturbance.
Only spontaneous succession is considered, without obvious alterations or additional management (e.g. no grazing, no sowing, planting, topsoiling, etc.).
Data from permanent plots or transects (multiple time-points of monitoring) or chronosequences (covering a more or less continuous period), obtained from plots of preferably 5x5 m (other sizes could also be included, e.g. 2x2 - 20x20 m).
Contact details:
Please, do not hesitate to contact us for further information
Miguel Ballesteros: miguelballesterosjimenez@gmail.com