IEB Department of Terrestrial Ecology
lengyel.attila [at]
Brief description of the main scopes: 

1. Vegetation classification
I lead and contribute to several projects aiming at the description of the diversity of broader vegetation types (e.g. mesic meadows, oak forests on loess). Such projects have typically broad geographical coverage inlcuding several countries, and they utilize either taxonomical or trait information of species as variables.

2. Plant community assembly
We study co-existence patterns and mechanisms using taxonomical and trait information, assembly models, and analytical methods of community ecology. Most of our sample sites are located on grassland of the Kiskunság region.

3. Testing and developing statistical methods used in ecology
During the statistical analysis of ecological data, I enjoy giving creative solutions to methodological challanges, and some become useful for the broader scientific community.

Main profile in keywords: 
vegetation science, data analysis, biodiversity
Selected publications:


Lengyel, A., Swacha, G., Botta-Dukát, Z., Kącki, Z. (2020): Trait‐based numerical classification of mesic and wet grasslands in Poland Journal of Vegetation Science, accepted


Lengyel Attila, Botta-Dukát Zoltán (2019): Silhouette width using generalized mean—A flexible method for assessing clustering efficiency Ecology and Evolution, 9: 13231–13243.


Lengyel, Attila; Landucci, Flavia; Mucina, Ladislav; Tsakalos, James L.; Botta-Dukát, Zoltán (2018): Joint optimization of cluster number and abundance transformation for obtaining effective vegetation classifications Journal of Vegetation Science 29(2): 336-347.


Lengyel Attila, Illyés Eszter, Bauer Norbert, Csiky János, Király Gergely, Purger Dragica, Botta-Dukát Zoltán (2016): Classification and syntaxonomical revision of mesic and semi-dry grasslands in Hungary Preslia 88(2): pp. 201–228.


Lengyel A, Podani J (2015): Assessing the relative importance of methodological decisions in classifications of vegetation data Journal of Vegetation Science 26: 804–815.