Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4379390 | Ecological Modelling | 2006 | 11 Pages |
Abstract
A palaeoecological study was conducted to investigate past environmental conditions and vegetation dynamics around the southwestern Ljubljana Moor. In order to find potential regularities and/or dependencies among co-existent plant species through time, different machine learning methods were applied to pollen records from the cores taken at Bistra and HoÄevarica. The data comprised relative pollen frequencies of the most common plant genera/families at particular core depths that correspond to particular ages in the Early and Mid Holocene periods. The applied methods include equation discovery and hierarchical clustering. Both methods have found plausible and explainable relationships among identified plant genera/families.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Ecology, Evolution, Behavior and Systematics
Authors
Marjeta Jeraj, SaÅ¡o Džeroski, LjupÄo Todorovski, Marko Debeljak,