Next generation expert systems for vegetation classification on a continental scale
- Project Identification
- Project Period
- 1/2017 - 12/2019
- Investor / Pogramme / Project type
Czech Science Foundation
- Standard Projects
- MU Faculty or unit
- Faculty of Science
Standardized classification of vegetation at the continental scale is extremely important for nature conservation and ecological research. A major step towards comprehensive classification of European vegetation has been recent establishment of an integrated database of European vegetation coordinated at Masaryk University. A synthesis of these huge data requires development of a new generation of expert systems for vegetation classification based on coupled information on species composition and the environment. This project aims at developing new logic of expert systems for vegetation classification using elements of previous expert systems combined with elements of artificial intelligence. We will develop new algorithms, procedures for semi-automatic construction of classification expert systems, and efficient software to apply these methods to vegetation databases, including an online application. The new methods will be tested in a series of case studies of European vegetation types involving international teams, which will guarantee dissemination of the new methods.
Total number of publications: 13
Classification of the European marsh vegetation (Phragmito-Magnocaricetea) to the association level
Applied Vegetation Science, year: 2020, volume: 23, edition: 2, DOI
Habitats of Pleistocene megaherbivores reconstructed from the frozen fauna remains
Ecography, year: 2020, volume: 43, edition: 5, DOI
Národní park Lagodekhi - za lesy Východního Kavkazu
Year: 2020, type: Popularization text
Oak-hornbeam forests of central Europe: a formalized classification and syntaxonomic revision
Preslia, year: 2020, volume: 92, edition: 1, DOI
GRIMP: A machine-learning method for improving groups of discriminating species in expert systems for vegetation classification
Journal of Vegetation Science, year: 2019, volume: 30, edition: 1, DOI
Oak-hornbeam forests from the European perspective – Currently recognized alliances, a faithful mirror of their floristic variability?
Year: 2019, type: Conference abstract
Probabilistic key for identifying vegetation types in the field: A new method and Android application
Journal of Vegetation Science, year: 2019, volume: 30, edition: 5, DOI
Classification of Pondoland Scarp Forests
VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA, year: 2018, number of pages: 34 s.
Classification of the Albany Coastal Forests
VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA, year: 2018, number of pages: 32 s.
Classification of the Eastern Scarp Forests
VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA, year: 2018, number of pages: 102 s.