Application of a Kohonen's self-organizing map for evaluation of long-term changes in forest vegetation
Version of Record online: 4 SEP 2012
© 2012 International Association for Vegetation Science
Journal of Vegetation Science
Volume 24, Issue 2, pages 405–414, March 2013
How to Cite
Adamczyk, J. J., Kurzac, M., Park, Y.-S., Kruk, A. (2013), Application of a Kohonen's self-organizing map for evaluation of long-term changes in forest vegetation. Journal of Vegetation Science, 24: 405–414. doi: 10.1111/j.1654-1103.2012.01468.x
- Issue online: 24 JAN 2013
- Version of Record online: 4 SEP 2012
- Manuscript Accepted: 18 JUL 2012
- Manuscript Received: 31 MAY 2011
- Artificial neural network;
- Central Poland;
- Changes of vegetation;
- Forest phytocoenoses;
- Nature reserve;
Can a Kohonen's self-organizing map, which is robust to non-linear relationships between variables and their non-normal distributions, be effective in patterning the data on plant communities investigated with the classical Braun-Blanquet phytosociological method based on the ordinal scale? Does the application of the self-organizing map make it possible to obtain new information from the analysed plant communities when compared to the Braun–Blanquet method alone?
The Babsk nature reserve, Central Poland.
The analysed data were derived from two separate series of phytosociological studies on plant communities dating from periods 31 yr apart (1960 and 1991). The data consisted of 24 quantitative sampling lists of plant species (=phytosociological releves). The releves were analysed by the application of a Kohonen's self-organizing map and the indicator value (IndVal).
The transformations from Querco roboris–Pinetum to Tilio cordatae–Carpinetum betuli in the vegetation in the Babsk nature reserve over 31 yr were determined precisely. Valuable new data were also obtained on: (1) significant associations of individual plant species with the previous and recent phytocoenoses, i.e. diagnostic groups of plant species for each phytocoenosis; (2) abiotic conditions (determined retrospectively in the two study periods on the basis of ecological indicators for vascular plants); and (3) the concordance of phytocoenoses with the biotope.
The Kohonen's self-organizing map method and the IndVal made it possible to efficiently identify abiotic and biotic patterns for plant communities on the basis of the data expressed in the conventional Braun-Blanquet scale.